WO2013047697A1 - Device for measuring object to be measured, processing method thereof, and program - Google Patents
Device for measuring object to be measured, processing method thereof, and program Download PDFInfo
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- WO2013047697A1 WO2013047697A1 PCT/JP2012/074961 JP2012074961W WO2013047697A1 WO 2013047697 A1 WO2013047697 A1 WO 2013047697A1 JP 2012074961 W JP2012074961 W JP 2012074961W WO 2013047697 A1 WO2013047697 A1 WO 2013047697A1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
- G01B11/04—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness specially adapted for measuring length or width of objects while moving
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/015—Detecting movement of traffic to be counted or controlled with provision for distinguishing between two or more types of vehicles, e.g. between motor-cars and cycles
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07B—TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
- G07B15/00—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
- G07B15/06—Arrangements for road pricing or congestion charging of vehicles or vehicle users, e.g. automatic toll systems
Definitions
- the present invention relates to a measurement object measuring apparatus that measures the length of a measurement object, a processing method thereof, and a program.
- tolls are set based on the size of the vehicles that have traveled on the roads in the specified section.
- the vehicle type information obtained by communication with the vehicle-mounted device and the consistency of the vehicle type specified by measuring the vehicle outer shape are determined, and the vehicle equipment is illegally replaced. It is carried out. Therefore, on the toll road, it is necessary to accurately determine the vehicle size, that is, the vehicle specifications such as the vehicle length, vehicle height, and vehicle width. And the technique which determines the magnitude
- the above-mentioned patent document includes a technique for measuring the size of the vehicle with a laser emitted by the measuring device, but when measuring the size in the length direction of the vehicle (hereinafter referred to as the vehicle length). Therefore, it is necessary to consider the influence of acceleration and deceleration of a vehicle passing between a plurality of detection devices installed at a distance, and there is a need to improve the measurement accuracy of the vehicle length of the vehicle. . In order to improve the measurement accuracy of the vehicle length of such a vehicle, it is necessary to extract an appropriate vehicle detection signal from detection signals input from a plurality of detection devices installed at a distance.
- an object of the present invention is to provide a measuring object measuring apparatus, a processing method thereof, and a program capable of solving the above-described problems.
- the present invention provides a detection that shows the characteristics of the measurement object from each of an entry-side detection device and a passage-side detection device that are installed with a predetermined installation interval in the traveling direction of the measurement object.
- the detection signal is input from the input unit that inputs a signal, the entry side detection device, and the passage side detection device, the feature increase / decrease information indicating the value of increase or decrease of the feature of the measurement object and the detection signal
- a feature detection information generating unit that generates feature detection information including the feature detection time included in the input detection signal, and the detection signal for the measurement object is first detected by the approach side detection device.
- the feature detection time when the approach side detection device detects the measurement object on a later time axis, and the feature detection time when the passage side detection device detects the measurement object on the time axis In the two-dimensional coordinate system representing the relationship between the two detection devices, the first feature detection time in each of the two detection devices of the approach side detection device and the passage side detection device, and the measurement object in the two detection devices
- the approach side detection device is a function that passes through a point having the last feature detection time for an object as a component, and is based on an average acceleration of the measurement object that has traveled between the entrance side detection device and the passage side detection device.
- a function derivation unit for deriving a function representing the passage time of each feature of the measurement object in the passage-side detection device, and the feature detection time included in the input detection signal is substituted into the function as one component and the other
- the entry side detection device or the front side is calculated.
- An assumed time calculation unit that calculates an assumed time at which the feature indicated by the feature detection information generated based on the detection signal input from any one of the passing side detection devices may be detected by the other detection device.
- a feature detection information candidate specifying unit that specifies feature detection information including feature increase / decrease information that indicates the same value as either the increase or decrease indicated by the read feature increase / decrease information, and Of the identified feature detection information, the feature detection time included in the one detection signal input from the one detection device is substituted into the function as one component to calculate the other component.
- a feature detection information specifying unit that specifies feature detection information including the closest feature detection time, a single detection signal input from the one detection device, and the feature detection information specifying unit.
- a detection signal correspondence determining unit that determines a detection signal input from the other detection device used to generate the specified feature detection information as a corresponding detection signal when the feature point of the measurement object is detected;
- a measuring object measuring apparatus provided.
- the present invention provides the above-described measurement object measuring apparatus, the number of times that the measurement object is detected between the first feature detection time and the last feature detection time in the entry side detection device, and the passage side Compared with the number of times the measurement object is detected between the first feature detection time and the last feature detection time in the detection device, among the entry side detection device and the passage side detection device, the A reference detection device specifying unit that specifies a detection device with a small number of times of detection of the measurement object as the one detection device.
- the input unit receives a detection signal including a characteristic indicating the intensity of the light reflection signal corresponding to the light irradiation signal irradiated to the measurement object and the characteristic detection time.
- the feature detection information generation unit Input from each of the entry side detection device and the passage side detection device, the feature detection information generation unit, based on the detection signal, an increase in the measurement target feature indicating the optical feature of the measurement target or Feature detection information including feature increase / decrease information indicating a decrease value and a feature detection time included in the detection signal is generated.
- the input unit is configured to detect the height of the measurement object detected using a transmission / reception interval between the irradiation time of the light irradiation signal and the reception time of the light reflection signal.
- the detection signal including the feature indicating the feature information and the feature detection time is input from each of the entry side detection device and the passage side detection device, and the feature detection information generation unit performs the measurement based on the detection signal.
- Feature detection information including feature increase / decrease information indicating an increase or decrease value of the measurement target feature indicating the geometric feature of the target and a feature detection time included in the detection signal is generated.
- the detection signal correspondence determination unit may detect one of the feature detection times included in the feature detection information specified by the feature detection information candidate specifying unit.
- the feature detection time closest to the assumed time obtained by substituting the feature detection time included in the one detection signal input from the apparatus as one component into the function and calculating the other component is the assumed time.
- a detection signal input from the other detection device used to generate the feature detection information specified by the feature detection information specifying unit and only one detection signal input from the one detection device. The signal is determined as a corresponding detection signal when the feature point of the measurement object is detected.
- the feature detection time included in the detection signal first input about the measurement object from the entry side detection apparatus and the measurement object from the passage side detection apparatus
- the feature detection time included in the detection signal input to the front and back, the feature detection time included in the detection signal last input for the measurement object from the entry side detection device, and the measurement object from the passage side detection device
- If the front-rear relationship of the feature detection times included in the last-input detection signal is different and the front-rear relationship is different, the response of the detection signal input from the entry-side detection device and the passage-side detection device A correspondence determination stop unit that stops the determination of the relationship.
- the present invention provides the above-described measurement object measurement apparatus, wherein one detection signal input from the one detection apparatus is determined as a corresponding detection signal when the feature point of the measurement object is detected; A speed calculation unit that calculates a speed for each of the feature points of the measurement object based on a plurality of combinations of feature detection times included in each of the detection signals input from the other detection device and the installation interval; .
- the present invention provides the speed of each of the feature points and the feature detection time included in the detection signal input from the entry side detection device or the detection input from the passage side detection device.
- a length calculation unit that calculates the length of the measurement object in the traveling direction based on one or both of the feature detection times included in the signal.
- the present invention is a processing method for a measurement object measuring device, wherein the input unit is provided by each of an entry side detection device and a passage side detection device installed with a predetermined installation interval in the traveling direction of the measurement object.
- a detection signal indicating the characteristic of the measurement object is input, and the feature detection information generation unit increases the characteristic of the measurement object each time the detection signal is input from the entry side detection device and the passage side detection device.
- feature detection information including feature increase / decrease information indicating a decrease value and feature detection time included in the detection signal is generated based on the input detection signal, and a function derivation unit performs the measurement with the entry side detection device.
- the feature detection time when the entry-side detection device detects the measurement object on the time axis after first detecting the detection signal for the object, and the passage-side detection device on the time axis performs the measurement Object In a two-dimensional coordinate system representing the relationship with the feature detection time at the time of detection, a point having the first feature detection time in each of the two detection devices of the entry side detection device and the passage side detection device as a component, A function passing through a point having the last feature detection time for the measurement object in the two detection devices as a component, and the measurement object traveling between the entry side detection device and the passage side detection device.
- a function representing the passage time of each feature of the measurement object in the approach side detection device and the passage side detection device based on the average acceleration is derived, and the assumed time calculation unit calculates the feature detection time included in the input detection signal. Assuming that the measurement object travels between the entry side detection device and the passage side detection device at the average acceleration by substituting the component as one component and calculating the other component. In this case, there is a possibility that the feature indicated by the feature detection information generated based on the detection signal input from either the entry side detection device or the passage side detection device is detected by the other detection device. A certain assumed time is calculated, the feature detection information candidate specifying unit specifies the feature detection information generated based on one detection signal from the one detection device, and reads the feature increase / decrease information from the feature detection information.
- Feature detection including feature increase / decrease information indicating the same value as either the increase or decrease indicated by the read feature increase / decrease information among the feature detection information generated based on the detection signal from the other detection device
- the information is specified, and the feature detection information specifying unit sets the feature detection time included in the one detection signal input from the one detection device as one component of the specified feature detection information.
- the feature detection information including the assumed time obtained by calculating the other component by substituting into the function and the feature detection time closest to the time is specified, and the detection signal correspondence determination unit determines the one detection device When the feature point of the measurement object is detected using one detection signal input from the other detection device and the detection signal input from the other detection device used for generating the feature detection information specified by the feature detection information specifying unit. This is a processing method for determining a corresponding detection signal.
- the present invention relates to a computer of a measurement object measuring device, wherein the characteristics of the measurement object are respectively determined from an entrance side detection device and a passage side detection device that are installed with a predetermined installation interval in the traveling direction of the measurement object.
- the detection signal is input from the input means for inputting the detection signal indicating, the entry side detection device and the passage side detection device
- the feature increase / decrease information indicating the increase or decrease value of the feature of the measurement object
- the detection signal for the measurement object is first detected by the entry side detection device
- the two detection devices include a point having the first feature detection time as a component in each of the two detection devices
- Function deriving means for deriving a function representing the passage time of each feature of the measurement object in the approach side detection device and the passage side detection device, and the feature detection time included in the input detection signal is substituted into the function as one component
- the time calculation means identifies feature detection information generated based on one detection signal from the one detection device, reads feature increase / decrease information from the feature detection information, and generates a detection signal from the other detection device.
- Feature detection information candidate specifying means for specifying feature detection information including feature increase / decrease information indicating the same value as either the increase or decrease indicated by the read feature increase / decrease information among the feature detection information generated based on the feature detection information,
- the feature detection time included in the one detection signal input from the one detection device is substituted into the function as one component and the other An assumed time obtained by calculating a component of the feature, feature detection information specifying means for specifying feature detection information including the closest feature detection time, one detection signal input from the one detection device, and the feature detection Detection signal correspondence determination that determines the detection signal input from the other detection device used for generating the feature detection information specified by the information specifying means as the corresponding detection signal when the feature point of the measurement object is detected It is a program that functions as a means.
- an appropriate vehicle detection signal is selected from detection signals input from a plurality of detection apparatuses installed at a distance. Can be extracted.
- FIG. 1 is a diagram showing a configuration of a measurement system according to the embodiment.
- reference numeral 10 denotes a measuring object measuring apparatus for measuring the size of the measuring object.
- the measuring object measuring apparatus 10 measures the vehicle length of the vehicle 30 as the size of the measuring object. It is assumed that the vehicle 30 travels on the road in the traveling direction (from the right to the left in the figure).
- symbol 21 is an approach side detection apparatus
- symbol 22 is a passage side detection apparatus.
- the approach side detection device 21 and the passage side detection device 22 include a laser sensor, and receive a reflection signal (light reflection signal) corresponding to the irradiation signal (light irradiation signal) of the laser sensor. Thereby, the approach side detection device 21 and the passage side detection device 22 are distances from the difference between the irradiation time of the irradiation signal and the reception time of the reflected signal received corresponding to the signal and the speed of the optical signal to the measurement object. And the intensity of the reflected signal (the amount of reflected light) is detected.
- the approach side detection device 21 and the passage side detection device 22 are scattered at each installation position provided in the traveling direction of the vehicle 30 above the vehicle 30 traveling on the road.
- the situation where one each is installed is shown.
- the distance D (installation interval) between the approach side detection device 21 and the passage side detection device 22 is assumed to be about 0.4 m to 0.6 m, for example.
- each point parallel to the width direction on the road of the point detected by the approach side detection device 21 is designated as A point
- each point parallel to the width direction on the road of the point detected by the passage side detection device 22 is designated as B point. I will call it.
- a plurality of the entry side detection devices 21 and the passage side detection devices 22 may be installed on the upper portion of the vehicle 30 in the width direction orthogonal to the traveling direction of the vehicle 30 at each installation position.
- the entry-side detection device 21 and the passage-side detection device 22 are provided at the upper portion of the vehicle 30 approximately at the center in the width direction orthogonal to the traveling direction of the vehicle 30 at each installation position.
- the passing side detection device 22 may irradiate the irradiation signal at each angle in a wide range in the width direction of the road centering on the lower vertical direction.
- the measuring object measuring device 10 is connected to the approach side detection device 21 and the passage side detection device 22 via a communication network, and the reflected signal detected by the device from the approach side detection device 21 and the passage side detection device 22. Detection time, the intensity of the reflected signal (the amount of reflected light), and the height information of the vehicle 30 calculated by the device.
- the height information is information indicating either “the difference between the height of the entry side detection device 21 and the height of the measurement site of the measurement object” or “the height of the measurement site of the measurement object from the road”. is there.
- the approach side detection device 21 calculates the height value from the “distance in the vertical direction from the approach side detection device 21 (or the passage side detection device 22) to the road”. It is calculated by subtracting the “vertical distance from the side detection device 21 (or the passage side detection device 22) to the measurement site of the measurement object”.
- the height information output from the entry side detection device 21 (or the passage side detection device 22) to the measurement object measurement device 10 is “the measurement of the height of the entry side detection device 21 (or the passage side detection device 22) and the measurement object.
- the measurement object measuring device 10 determines the value of the height based on the detection result of the entry side detection device 21 (or the passage side detection device 22). The vertical distance from the side detection device 21 (or the passage side detection device 22) to the measurement site of the measurement object ”is acquired.
- the measuring object measuring apparatus 10 measures the vehicle length of the vehicle 30 which is a measuring object using the information input from the approach side detection apparatus 21 or the passage side detection apparatus 22.
- the measuring object measuring apparatus 10 in this embodiment is demonstrated as what measures the vehicle length of the vehicle 30 which passes on a road, even if it applies to what measures the length of other moving bodies, etc. Good.
- FIG. 2 is a functional block diagram of the measuring object measuring apparatus 10.
- the measuring object measuring apparatus 10 includes an input unit 11, a storage unit 12, a height correspondence determination unit 13, a signal strength correspondence determination unit 14, a second speed calculation unit 15, and a first speed calculation.
- Each processing unit and storage unit includes a unit 16, a length calculation unit 17, and a detection signal extraction unit 18.
- the input unit 11 is a processing unit that inputs the height information of the vehicle 30 and the intensity of the reflected signal from the entry side detection device 21 and the passage side detection device 22. Further, the height correspondence determination unit 13 uses the height information of the vehicle 30 detected by the approach side detection device 21 and the passage side detection device 22 over time to indicate the same portion of the vehicle 30. It is a processing unit that classifies each information correspondence. In addition, the second speed calculation unit 15 calculates the height information included in the correspondence relationship between the height information indicating the same part of the vehicle 30 and the height information in the approach side detection device 21 and the passage side detection device 22.
- the time difference of the height detection time is calculated for each correspondence relationship of the classified height information, the time difference of the height detection time, and the traveling direction of the entry side detection device 21 and the passage side detection device 22 Based on the installation interval D, the velocity of the measurement object at the height detection time in either one or both of the approach side detection device 21 and the passage side detection device 22 is determined for each correspondence relationship of the classified height information. It is a processing part to calculate.
- the signal strength correspondence determining unit 14 corresponds to the signal strength corresponding to the same part of the vehicle 30 with respect to the signal strengths of the light reflection signals detected by the approach side detection device 21 and the passage side detection device 22 over time. It is a processing unit that classifies each relationship.
- the first speed calculation unit 16 calculates the signal strength of each of the signal strengths in the approach-side detection device 21 and the passage-side detection device 22 that calculate the signal strengths included in the correspondence relationship of the signal strengths indicating the same part of the vehicle 30.
- the time difference of the detection time is calculated for each correspondence relationship of the classified signal strength, and the approach side detection device 21 and the passage side detection device are based on the time difference of the signal strength detection time and the installation interval D.
- 22 is a processing unit that calculates the speed of the vehicle 30 at the signal strength detection time at any one or both of the numbers 22 for each correspondence relationship of the classified signal strengths.
- the length calculation unit 17 calculates the vehicle 30 at the height detection time in either one or both of the approach side detection device 21 and the passage side detection device 22 calculated for each correspondence relationship of the classified height information. And the velocity of the measurement object at the signal intensity detection time in either one or both of the approach side detection device 21 and the passage side detection device 22 calculated for each correspondence relationship of the classified signal strength.
- the processing unit calculates the length of the vehicle 30 in the traveling direction.
- the detection signal extraction unit 18 is a processing unit that extracts a detection signal used for processing in the measurement object measuring apparatus 10 from the detection signals input from the input unit 11.
- FIG. 3 is a diagram illustrating an example of data input by the input unit 11.
- the input unit 11 receives the height information indicating the height of the vehicle 30, the amount of reflected light that is the intensity of the reflected signal, and the information on the detection times thereof at predetermined time intervals, and the approach side detection device 21 and the passage side detection device 22. Enter from.
- the predetermined time interval is, for example, 10 msec
- FIG. 3 shows a data table in the case where each information input at each time t1, t2, t3, t4, t5,. ing.
- FIG. 3 shows the height information, reflected light amount, and detection time information detected by the approach side detection device 21 for one point on the road.
- the input unit 11 inputs each piece of information as shown in FIG.
- the input unit 11 also inputs height information, reflected light amount, and detection time information from the passage side detection device 22 at a predetermined time interval for a plurality of points in the width direction on the road.
- FIG. 4 is a diagram showing an outline of detection signal extraction processing used for processing.
- the measuring object measuring device 10 inputs detection signals sequentially from the approach side detection device 21 and the passage side detection device 22 as time passes.
- the detection signal includes height information, reflected light amount, feature detection time (height information or time when any feature of the reflected light amount is detected), identification information of the detection device, and the like.
- the height information is the height of the vehicle 30, and the reflected light amount is a reflected light amount (signal intensity) of light irradiated on the vehicle 30.
- each of the detection signal input from the approach side detection device 21 and the detection signal input from the passage side detection device 22 is included. Therefore, it is necessary to specify a pair of detection signals indicating the same characteristics (height and reflected light amount) of the vehicle 30.
- the approach side detection device 21 or the passage side detection device 22 may transmit a detection signal for the same feature of the vehicle 30 to the measurement object measurement device 10 a plurality of times.
- the measurement object measuring apparatus 10 simply associates a pair of the detection signal input from the entry side detection apparatus 21 and the detection signal input from the passage side detection apparatus 22 in the order of input time. A pair of detection signals for the same feature of the vehicle 30 cannot be obtained. Therefore, the measuring object measuring apparatus 10 is based on the extraction process as shown in FIG. 4, and has the same characteristics of the detection signal input from the approach side detection apparatus 21 and the detection signal input from the passage side detection apparatus 22. A pair of detection signals indicating is determined.
- the horizontal axis indicates the feature detection time t E included in the detection signal input from the approach side detection device 21.
- the vertical axis indicates the feature detection time t P included in the detection signal input from the passage side detection device 22.
- FIG. 4 shows a case where the four detection signals E1 to E4 input from the approach side detection device 21 include feature detection times tE1 , tE2 , tE3 , and tE4 , respectively. .
- the detection signal E1 is a detection signal that first detects the characteristics of one vehicle 30 in the approach side detection device 21.
- the detection signal P ⁇ b> 1 is a detection signal obtained by first detecting the characteristics of one vehicle 30 in the passage side detection device 22.
- the detection signal extraction unit 18 can determine, from the height information included in the detection signal, the detection signal that first detects the feature of the vehicle 30 in each of the approach side detection device 21 and the passage side detection device 22. .
- the detection signal E4 is a detection signal that lastly detects the characteristics of one vehicle 30 in the approach side detection device 21.
- the detection signal P8 is a detection signal in which the characteristic of one vehicle 30 is detected last in the passage side detection device 22.
- the time when the road surface is first detected after continuously detecting the height of the vehicle 30 is the time when the height information of the vehicle 30 becomes “0”. That is, it can be determined that the time has passed.
- the time when the road surface is first detected after continuously detecting the height of the vehicle 30 is the time when the height information that is a feature of the vehicle 30 is “0” for convenience. It is determined that (the time when the feature of the vehicle was last detected).
- the detection signal extraction part 18 of the measuring object measuring device 10 detects the characteristic of the vehicle 30 and the detection signal E1 which first detected the characteristic of the vehicle 30 in the approach side detection device 21 from each input detection signal.
- the detection signal is extracted.
- the detection signal extracting unit 18 and the detection signal E2 that includes a feature detection time t E2, and extracts a detection signal E3 including feature detection time t E3.
- the detection signal extraction unit 18 detects, from among the input detection signals, the detection signal P1 that first detects the feature of the vehicle 30 in the passage side detection device 22, and the detection signal P8 that lastly detects the feature of the vehicle 30. Is detected, other detection signals including the feature detection time between the feature detection times included in the two detection signals P1 and P8 are extracted from the detection signals input from the passage side detection device 22.
- the detection signal extracting unit 18 includes a detection signal P2, the detection signal P3 including the feature detection time t P3, detected signal P4 including feature detection time t P4, wherein detection time t P5 including the feature detection time t P2 detection signal P5, the detection signal P6 including the feature detection time t P6, the detection signal P7 including the feature detection time t P7, to extract.
- the detection signal extraction unit 18 detects detection signals E2 and E3 extracted from the detection signals input from the approach side detection device 21 and detection signals P2 and P3 extracted from the detection signals input from the passage side detection device 22. , P4, P5, P6, and P7, a pair of corresponding detection signals indicating the characteristics of the same vehicle 30 is extracted.
- FIG. 5 is a block diagram showing a functional configuration of the detection signal extraction unit.
- the detection signal extraction unit 18 includes a feature detection information generation unit 181, a function derivation unit 182, a reference detection device specification unit 183, an assumed time calculation unit 184, a feature detection information candidate specification unit 185, and feature detection information specification.
- the feature detection information generation unit 181 includes feature increase / decrease information indicating a value of increase or decrease of the feature of the vehicle 30, and the detection It is a processing unit that generates feature detection information including a feature detection time included in a signal based on an input detection signal.
- the function deriving unit 182 also detects the feature detection time when the approach side detection device 21 detects the vehicle 30 on the time axis after the detection signal for the vehicle 30 is first detected by the approach side detection device 21 and the time.
- the first detection device in each of the two detection devices of the approach side detection device 21 and the passage side detection device 22 This is a processing unit that derives a function that passes through a point having the feature detection time as a component and a point having the last feature detection time for the vehicle 30 in the two detection devices as a component.
- the function is a passing time of each feature of the vehicle 30 in each of the approaching side detection device 21 and the passing side detection device 22 based on an average acceleration of the vehicle 30 that has traveled between the approaching side detection device 21 and the passing side detection device 22 Is shown.
- the reference detection device specifying unit 183 also detects the number of times the vehicle 30 is detected between the first feature detection time and the last feature detection time of the vehicle 30 in the approach-side detection device 21, and the vehicle in the passage-side detection device 22.
- the processing unit compares the number of times the vehicle 30 is detected between the first feature detection time of 30 and the last feature detection time.
- the reference detection device specifying unit 183 is a processing unit that specifies a detection device with a small number of times of detecting the vehicle 30 among the entry side detection device 21 and the passage side detection device 22 as one detection device.
- the assumed time calculation unit 184 calculates the other component by substituting the feature detection time included in the detection signal input from the identified one detection device into the function as one component.
- the assumed time calculation unit 184 inputs from one of the detection devices when it is assumed that the vehicle 30 travels between the approach side detection device 21 and the passage side detection device 22 at an acceleration indicated by a function.
- This is a processing unit that calculates an assumed time at which the same feature as the feature indicated by the feature detection information generated based on the detected signal may be detected by the other detection device.
- the feature detection information candidate specifying unit 185 specifies feature detection information generated based on one detection signal from one detection device, reads feature increase / decrease information from the feature detection information, and detects the other detection device.
- a processing unit that identifies feature detection information including feature increase / decrease information that indicates the same value as either the increase or decrease indicated by the read feature increase / decrease information among the feature detection information generated based on the detection signal from is there.
- the feature detection information specifying unit 186 calculates the other component by substituting the feature detection time included in one detection signal input from one detection device into the function as one component of the specified feature detection information.
- This is a processing unit that identifies feature detection information including the assumed time obtained and the feature detection time closest to the time.
- the detection signal correspondence determining unit 187 has one detection signal input from one detection device and a detection signal input from the other detection device used for generating the feature detection information specified by the feature detection information specifying unit 186. Is a processing unit that determines a corresponding detection signal when a feature point of the vehicle 30 is detected.
- the correspondence determination stop unit 188 is included in the feature detection time included in the detection signal first input about the vehicle 30 from the approach side detection device 21 and the detection signal input first regarding the vehicle 30 from the passage side detection device 22.
- the feature detection time and the feature detection time included in the detection signal last input for the vehicle 30 from the approach side detection device 21 and the feature detection included in the detection signal last input for the vehicle 30 from the passage side detection device 22 It is a processing unit that compares the time context.
- the correspondence determination stop unit 188 is a processing unit that determines to stop the determination of the correspondence relationship of the detection signals input from the approach side detection device 21 and the passage side detection device 22 when the front-rear relationships are different.
- the processing result output unit 189 is a processing unit that outputs the processing result of the detection signal extraction unit 18.
- the process of the detection signal extraction part 18 provided with the function of each of such processing parts causes the same characteristics of the vehicle 30 from the detection signals input from the approach side detection device 21 and the passage side detection device 22 respectively. Corresponding detection signal pairs in the entry side detection device 21 and the passage side detection device 22 are extracted.
- FIG. 6 is a diagram illustrating a processing flow of the detection signal extraction unit.
- the input unit 11 of the measurement object measuring apparatus 10 inputs a detection signal received from the entry side detection device 21 or the passage side detection device 22 via the communication network.
- the detection signal includes the signal intensity of the light reflection signal corresponding to the light irradiation signal irradiated to the vehicle 30 such as the amount of reflected light (first characteristic of the vehicle 30), the irradiation time of the light irradiation signal, and reception of the light reflection signal.
- the height information of the measurement object detected using the transmission / reception interval with the time (second feature of the vehicle 30) is included.
- the detection signal includes the feature detection time and the identification number of the detection device indicating the entry side detection device 21 or the passage side detection device 22 that has detected the signal intensity (amount of reflected light) or height information. Yes. Then, the input unit 11 outputs the input detection signal to the detection signal extraction unit 18.
- the feature detection information generation unit 181 of the detection signal extraction unit 18 receives the detection signal input from the entry side detection device 21 or the passage side detection device 22 from the input unit 11 (step S601).
- the feature detection information generation unit 181 detects the signal intensity (reflected light amount) and height information of the light reflection signal included in the detection signal input this time, and the detection input last time for the detection signal including the identification number of the same detection device.
- the signal intensity (the amount of reflected light) of the light reflection signal included in the signal is compared with the height information.
- the feature detection information generation unit 181 has a signal intensity (amount of reflected light) of the light reflection signal included in the detection signal input this time, rather than a signal intensity (amount of reflected light) of the light reflection signal included in the detection signal input last time.
- the threshold value changes more than the threshold value
- feature increase / decrease information indicating an increase or decrease value of the signal intensity (amount of reflected light) is generated.
- the feature detection information generation unit 181 increases the height information or Feature increase / decrease information indicating a decrease value is generated.
- the signal intensity feature increase / decrease information is referred to as signal intensity increase / decrease information
- the height information feature increase / decrease information is referred to as height increase / decrease information.
- the feature detection information generation unit 181 generates feature detection information including the signal intensity increase / decrease information, the height increase / decrease information, the detection time included in the received detection signal, and the identification number of the detection device. (Step S602).
- the feature detection information generation unit 181 generates this feature detection information every time a detection signal is input. Then, the feature detection information generation unit 181 sequentially outputs the generated feature detection information to the function derivation unit 182.
- the function deriving unit 182 identifies feature detection information indicating that the vehicle 30 is first detected by the approach side detection device 21 from the input feature detection information.
- the function deriving unit 182 first generates the feature detection information generated from the detection signal of the entry side detection device 21 based on the identification number of the entry side detection device 21 and the identification number of the passage side detection device 22. And feature detection information generated by the detection signal of the passage side detection device 22. Then, the function deriving unit 182 sequentially compares the height information included in the feature detection information generated by the detection signal of the approach side detection device 21, and inputs the feature detection information indicating the height information indicating the road surface height.
- feature detection information indicating height information higher than the threshold value from the road surface height is continuously input.
- the feature detection information indicating the height information higher than the threshold from the road surface is continuously input a predetermined number or more, the feature detection information indicating the height information higher than the threshold from the road height
- the feature detection information including the earliest detection time is identified as feature detection information indicating that the vehicle 30 is first detected by the approach side detection device 21.
- the function deriving unit 182 sequentially inputs the previous feature sequentially from the feature detection information input from the approach side detection device 21 next to the feature detection information indicating that the vehicle 30 is first detected by the approach side detection device 21.
- the height information included in the detection information is compared with the height information included in the feature detection information input this time. If the difference between the height information included in the feature detection information input last time and the height information included in the feature detection information input this time is equal to or greater than a threshold value, the feature detection information input this time is It is determined as feature detection information indicating a feature point (a point at which height information has changed) of the vehicle 30 detected by the detection device 21.
- the function deriving unit 182 sequentially specifies feature detection information indicating the feature points of the vehicle 30 detected by the approach side detection device 21.
- the method for specifying the feature detection information indicating the feature points of the vehicle 30 is the height information included in the feature detection information input last time, and the height information included in the feature detection information input this time.
- the feature detection information input this time is determined as feature detection information indicating the feature point of the vehicle 30.
- the present invention is not limited to this, and feature detection information indicating the feature points of the vehicle 30 may be specified by other methods.
- the function deriving unit 182 is the feature detection information indicating that the vehicle 30 has been detected last. Determine whether. In this process, it is determined whether or not the height information included in the input feature detection information matches the road surface height information stored in advance. If it can be determined that the values match even when the error is taken into consideration, the function deriving unit 182 determines that the feature detection information is feature detection information indicating that the vehicle 30 was detected last. In addition, when a plurality of feature detection information that can be determined to match the road surface height information is input, the feature detection information including the earliest feature detection time is feature detection information indicating that the vehicle 30 was detected last. Is determined.
- the function deriving unit 182 includes feature detection information indicating that the vehicle 30 has been detected first, feature detection information indicating that the vehicle 30 has been detected last, and the vehicle 30 specified between these feature detection information.
- the feature detection information indicating the feature points is determined as feature detection information indicating a plurality of features for one vehicle 30 detected by the approach side detection device 21.
- the feature detection information indicating the feature points of the vehicle 30 detected by the approach side detection device 21 includes four features including feature detection times t E1 , t E2 , t E3 , and t E4 as shown in FIG. 4. It is assumed that the detection information is F E1 , F E2 , F E3 , and F E4 . Further, the function deriving unit 182 determines feature detection information indicating the feature point of the vehicle 30 detected by the passing side detection device 22 by the same process.
- the feature detection information indicating the feature points of the vehicle 30 detected by the passing side detection device 22 is the feature detection times t P1 , t P2 , t P3 , t p4 , t P5 , t P6 , t P7 , as shown in FIG. t p8, and a is an eight feature detection information including each F P1, F P2, F P3 , F P4, F P5, F P6, F P7, F P8.
- the function deriving unit 182 includes a point (t E1 , t P1 ) having the first feature detection time as a component in each of the two detection devices of the approach side detection device 21 and the passage side detection device 22, and the two detection devices.
- a function that passes through a point (t E4 , t P8 ) whose component is the last feature detection time for the vehicle 30 is derived (step S603).
- the function includes a feature detection time when the entry side detection device 21 detects a feature of the vehicle 30 on the time axis after the detection signal for the vehicle 30 is first detected by the entry side detection device 21, and the time axis.
- the function 2 is a function in a two-dimensional coordinate system representing the relationship with the feature detection time when the passage-side detection device 22 detects the feature of the vehicle 30.
- the function deriving unit 182 outputs the derived function information and feature detection information F E1 to F E4 and F P1 to F P8 indicating the feature points of the vehicle 30 to the assumed time calculation unit 184, and also the vehicle 30.
- the feature detection information F E1 to F E4 and F P1 to F P8 indicating the feature points are output to the reference detection device specifying unit 183 and the detection signal correspondence determination unit 187.
- the feature detection information F E1 and FP1 is feature detection information indicating the first feature detection time of the vehicle 30 in each of the two detection devices of the approach side detection device 21 and the passage side detection device 22. Is done.
- the feature detection information F E4 and FP 8 is feature detection information indicating the last feature detection time of the vehicle 30 in each of the two detection devices of the approach side detection device 21 and the passage side detection device 22. Is done. Further, the function deriving unit 182 outputs the derived function information and feature detection information F E1 to F E4 and F P1 to F P8 indicating the feature points of the vehicle 30 to the correspondence determination stop unit 188.
- the reference detection device specifying unit 183 uses the approach side detection device 21 from the first feature detection time to the last feature detection time.
- the number of times that the feature of the vehicle 30 has been detected is compared with the number of times that the feature of the vehicle 30 has been detected between the first feature detection time and the last feature detection time of the vehicle 30 in the passage side detection device 22. To do. That is, the number of times the feature of the vehicle 30 is detected between the first feature detection time and the last feature detection time of the vehicle 30 in the approach side detection device 21 is twice of the feature detection information F E2 and F E3 .
- the number of times the feature of the vehicle 30 is detected between the first feature detection time and the last feature detection time of the vehicle 30 in the passage side detection device 22 is six times of feature detection information F E2 to F E7.
- specification part 183 specifies the detection apparatus with few frequency
- the approach side detection device 21 with a small number of times of detecting the characteristics of the vehicle 30 is specified as the reference detection device.
- the reference detection device specifying unit 183 outputs the identification number of the entry side detection device 21 specified as the reference detection device to the assumed time calculation unit 184.
- the assumed time calculation unit 184 When the assumed time calculation unit 184 inputs the identification number of the approach side detection device 21 serving as the reference detection device, the assumed time calculation unit 184 includes feature detection information F E1 to F E4 indicating feature points of the vehicle 30 detected by the approach side detection device 21. Then, feature detection information F E2 and F E3 excluding the feature detection information F E1 indicating that the vehicle 30 is detected first and the feature detection information F E4 indicating that it is detected last are extracted. Then, the assumed time calculation unit 184 substitutes the feature detection time t E2 included in the feature detection information F E2 for the variable t E of the function derived by the function deriving unit 182 and calculates the variable t P of the function. To calculate an assumed time T1 (step S605).
- the assumed time T1 is generated based on a detection signal input from the approach side detection device 21 when it is assumed that the vehicle 30 travels between the approach side detection device 21 and the passage side detection device 22 with an average acceleration. This is an assumed time at which the feature indicated by the feature detection information may be detected by the passage side detection device 22.
- the assumed time calculation unit 184 substitutes the feature detection time t E3 included in the feature detection information F E3 for the variable t E of the function derived by the function deriving unit 182. calculating the assumed time T2 by calculating the function of the variable t P. Then, the assumed time calculation unit 184 outputs the assumed time T1 and the feature detection information FE2 used to calculate the assumed time T1 to the feature detection information candidate specifying unit 185. Also, the assumed time calculation unit 184 outputs the assumed time T2 and the feature detection information FE3 used for calculating the assumed time T2 to the feature detection information candidate specifying unit 185.
- the feature detection information candidate specifying unit 185 When the feature detection information candidate specifying unit 185 receives the assumed time T1 and the feature detection information FE2 used to calculate the assumed time T1, the feature detection information candidate specifying unit 185 extracts height increase / decrease information included in the feature detection information FE2 .
- the height decrease information included in the feature detection information F E2 indicates "increase” as represented as " ⁇ " in Figure 4 for the feature detection time t E2 contained in the feature detection information F E2.
- the feature detection information candidate specifying unit 185 includes feature detection information F indicating that the vehicle 30 is first detected among the feature detection information F P1 to F P8 indicating the feature points of the vehicle 30 detected by the passage side detection device 22.
- the feature detection information candidate specifying unit 185 includes feature detection information FE2 indicating the feature point of the vehicle 30 detected by the approach side detection device 21, the assumed time T1 calculated using the feature detection information, and the feature detection candidates passing side detection device 22 side corresponding to information F E2, and outputs it to the feature detection information identification unit 186.
- the candidates on the passing side detection device 22 are the feature detection information F P2 , F P4 , and the feature detection information specified by the feature detection information candidate specifying unit 185 as feature detection information candidates indicating the feature points of the vehicle 30 detected by the passing side detection device 22. FP6 .
- the feature detection information specifying unit 186 compares the assumed time T1 with the feature detection information F P2 , F P4 , and FP 6, and from the feature detection information F P2 , F P4 , and FP 6 , the feature detection information F extracting the feature detection information including the nearest feature detection time on the assumption time T1 calculated by the feature detection time t E2 contained in E2 (step S607).
- the feature detection information specifying unit 186 calculates the feature detection information including the feature detection time at which the time difference becomes the smallest for the calculation using the feature detection times t P2 , t P4 , and t P6. Extracted from P2 , F P4 and FP6 .
- feature detection information FP2 is extracted.
- the feature detection information F E2 and feature detection corresponding to the feature detection information F E2 may be discarded. It is considered that acceleration and deceleration of the vehicle 30 traveling between the approach side detection device 21 and the passage side detection device 22 are within a certain range to some extent. However, when the difference between the feature detection time tP2 and the assumed time T1 is equal to or greater than a predetermined threshold value, acceleration or deceleration exceeding the assumption is performed between the approach side detection device 21 and the passage side detection device 22. This is information on feature points with high possibility and low reliability. Therefore, for the purpose not to adopt such information, and thus the set of feature detection information F E2, wherein detection information F P2 corresponding to the feature detection information F E2 is discarded.
- the detection signal correspondence determination unit 187 determines the vehicle in the approach side detection device 21.
- the detection signal E1 used to generate the feature detection information FE1 indicating that the vehicle 30 is detected first, and the feature detection information FP1 that indicates that the vehicle 30 is detected first in the passage side detection device 22 are used.
- the detection signal P1 is determined as a corresponding detection signal when the feature point of the vehicle 30 is detected (step S608).
- the detection signal correspondence determination unit 187 determines whether the vehicle on the approach side detection device 21 is based on the feature detection information F E1 to F E4 and F P1 to F P8 indicating the feature points of the vehicle 30 input from the function deriving unit 182.
- the detection signal E4 used to generate the feature detection information FE4 indicating that the vehicle 30 was detected last, and the feature detection information FP8 indicating that the vehicle 30 was detected last in the passage side detection device 22 were used.
- the detection signal P8 is determined as a corresponding detection signal when the feature point of the vehicle 30 is detected.
- the detection signal correspondence determination unit 187 and input from the feature detection information specifying unit 186, based on the set of feature detection information F P2 corresponding to the feature detection information F E2 to the feature detection information F E2, entry side detection the apparatus 21 and the detection signal E2 used for generating of the feature detection information F E2, and a detection signal P2 used for generating of the feature detection information F P2 in the pass-side detection device 22 to detect the feature points of the vehicle 30
- the corresponding detection signal is determined.
- the detection signal correspondence determination unit 187 detects the approach side based on the combination of the feature detection information FE3 and the feature detection information FP7 corresponding to the feature detection information FE3 input from the feature detection information specifying unit 186.
- a feature point of the vehicle 30 is detected using the detection signal E3 used for generating the feature detection information FE3 in the device 21 and the detection signal P7 used for generating the feature detection information FP7 in the passing side detection device 22. The corresponding detection signal is determined.
- the processing result output unit 189 detects detection points E1, P1, detection signals E2, P2, detection signals E3, P7 when detecting the feature points of the vehicle 30 determined by the detection signal correspondence determination unit 187, Each information included in the detection signals E4 and P8 is output to the height correspondence determination unit 13 and the signal strength correspondence determination unit 14 (step S609). More specifically, the processing result output unit 189 reads the height information, the reflected light amount, the detection time, and the identification number of the detection device from each detection signal determined by the detection signal correspondence determination unit 187 to obtain the height.
- Information on the combination of the information, the detection time, and the identification number of the detection device that detected them is output to the height correspondence determination unit 13 To do.
- the processing result output unit 189 reads the height information, the reflected light amount, and the detection time from the input detection signal, and the reflected light amount, the detection time, and the identification number of the detection device that has detected them (the entry side detection device 21 or the passage).
- Information of the combination with the identification number for identifying one of the side detection devices 22 is output to the signal strength correspondence determination unit 14.
- the detection signal when the geometric feature point of the vehicle 30 is detected based on the height information and the height increase / decrease information is set to the height.
- the detection signal extraction unit 18 further determines the optical feature points of the vehicle 30 based on the reflected light amount that is the intensity of the light reflection signal corresponding to the light irradiation signal irradiated to the vehicle 30 and the signal intensity increase / decrease information.
- the detection signal at the time of detection is output to the height correspondence determination unit 13 and the signal strength correspondence determination unit 14.
- only one of the detection signal when the geometric feature point is detected and the detection signal when the optical feature point is detected is used as the height correspondence determination unit 13 and the signal strength correspondence determination unit. 14 may be output.
- the correspondence determination stop unit 188 may stop the determination of the feature point correspondence for the vehicle 30.
- the correspondence determination stop unit 188 includes the feature detection time t E1 included in the detection signal first input about the vehicle 30 from the approach side detection device 21 and the vehicle 30 from the passage side detection device 22.
- the front-rear relation of the feature detection time t P1 included in the detection signal input first is determined.
- the correspondence determination stop unit 188 uses the feature detection time t E4 included in the detection signal last input for the vehicle 30 from the approach side detection device 21 and the detection signal input for the vehicle 30 last from the passage side detection device 22.
- the anteroposterior relationship of included feature detection time tP8 is determined.
- the correspondence determination stop unit 188 compares the two anteroposterior relationships, and if the anteroposterior relationships are different, the correspondence relationship determination of the detection signals input from the approach side detection device 21 and the passage side detection device 22 is performed. Decide to stop.
- the fact that these two front-rear relations are different means that the first detection of the vehicle 30 is earlier than the passage-side detection device 22, but the last detection of the vehicle 30 is the detection of the entry-side. This means that the passing side detection device 22 is earlier than the device 21. Since such a phenomenon is not possible, the determination of the correspondence relationship between the detection signals input from the approach side detection device 21 and the passage side detection device 22 is stopped.
- the detection signal indicating the same feature from the detection signal that detects the feature of the vehicle 30 in the approach side detection device 21 and the detection signal that detects the feature of the vehicle 30 in the passage side detection device 22. Can be determined. Thereby, in measuring the vehicle length of the vehicle 30, an appropriate detection signal of the vehicle 30 can be extracted from detection signals input from two detection devices installed at a distance.
- FIG. 7 is a diagram illustrating measurement result data based on information input by the input unit. This figure shows measurement result data based on information input from the entry side detection device 21 or the passage side detection device 22 by the measurement object measurement device 10.
- the measurement result data indicates height information at measurement points x1, x2, x3, x4,..., Xn at detection times t1, t2, t3, t4.
- the measurement result data can be generated by any information of information input from the approach side detection device 21 or information input from the passage side detection device 22. For example, when the measurement result data shown in FIG. 7 is created by reading the height information input from the approach side detection device 21 from the data table shown in FIG. 3, t1, t2, t3, t4.
- the height information which the approach side detection apparatus 21 detected about the measurement point of x1, x2, x3, x4, ..., xn in each detection time of tn is shown.
- the measurement point is the road at the point A measured by the entry side detection device 21 when the measurement result data shown in FIG. 7 is created based on the height information input from the entry side detection device 21.
- a plurality of measurement points parallel to the upper width direction (direction perpendicular to the traveling direction of the road) are shown.
- Each piece of information input by the measurement object measuring device 10 as information corresponding to each measurement point may be information measured by each of the plurality of entry side detection devices 21 installed corresponding to each measurement point. Good.
- each piece of information input by the measurement object measuring device 10 as information corresponding to each measurement point is obtained by the approach-side detection device 21 installed above one or more roads centering on the lower vertical direction.
- the information measured by irradiating the irradiation signal at each angle in the wide angle range in the width direction may be used.
- the measurement object measuring device 10 detects the detection time detected by the approach side detection device 21 in addition to the measurement result data shown in FIG. 7 based on the information input from the approach side detection device 21 or the passage side detection device 22. Measurement result data indicating the amount of reflected light at each measurement point, detection time detected by the passage side detection device 22, measurement result data indicating height information of each measurement point, detection time detected by the passage side detection device 22 Measurement result data indicating the amount of reflected light at each measurement point is stored.
- the measurement result data shown in FIG. 7 indicates that the entry side detection device 21 measured height information at each measurement point in the range of x4 to x20 from time t3 to time t29.
- the measurement object measuring apparatus 10 inputs almost the same height information A1 measured at the measurement points x4 to x20 between the time t3 and the time t10 in the approach side detection apparatus 21.
- approximately the same height information B1 measured for each of the measurement points x4 to x20 is input from the time t11 to the time t22 in the approach side detection device 21, and the time t23 to the time t29 is input in the approach side detection device 21.
- the measurement result data of FIG. 7 has shown each height information of height information A1, B1, C1, and, thereby, the vehicle 30 is the height information A1, height information B1, and height information C1. It can be recognized that it has three characteristics.
- the measuring object measuring apparatus 10 is configured so that the vehicle 30 can change the body color and part (sunroof, truck bed, etc.) based on the information on the amount of reflected light input from the approach side detection apparatus 21 indicated by the measurement result data. It can be recognized that it has a plurality of optically different characteristics.
- the measuring object measuring apparatus 10 is configured such that the vehicle 30 is connected to a hood or other part (roof, truck bed, etc.) based on the height information input from the passing side detection apparatus 22 indicated by the measurement result data. It can be recognized that it has a plurality of geometric features. Similarly, the measuring object measuring apparatus 10 is configured so that the vehicle 30 has a plurality of optically different body colors and parts based on information on the amount of reflected light input from the passing side detection apparatus 22 indicated by the measurement result data. It can be recognized that it has characteristics.
- the measuring object measuring device 10 includes a geometric feature based on the height information of the vehicle 30 input from the approach side detection device 21, an optical feature based on the reflected light amount, and the passage side detection device 22.
- the vehicle length of the vehicle 30 is calculated using the geometric feature based on the input height information of the vehicle 30 and the optical feature based on the amount of reflected light.
- FIG. 8 is a diagram illustrating a data example of information output from the detection signal extraction unit. Next, a specific method for calculating the vehicle length of the vehicle 30 will be described.
- the measuring object measuring apparatus 10 determines that the height information A1 is detected at time t3 based on the height information input from the approach side detection apparatus 21. Further, the measuring object measuring apparatus 10 determines that the height information B1 having a height different from the height information A1 by a predetermined threshold or more is detected at time t11. Further, the measuring object measuring apparatus 10 determines that the height information C1 having a height different from the height information B1 by a predetermined threshold or more is detected at time t23.
- the measurement object measuring device 10 detects each time when each feature of the height information A1, B1, C1 is detected for the first time as a feature detection time t3,
- the feature detection time t11 and the feature detection time t23 are specified. Further, the measurement object measuring device 10 detects the time when it is determined that the road surface is detected next after detecting the height of the vehicle 30 based on the height information input from the approach side detection device 21, and the time Is determined as a feature detection time t30.
- the measuring object measuring apparatus 10 determines that the reflected light quantity m1 that has changed from the reflected light quantity on the road by a predetermined threshold or more at time t3 is detected based on the reflected light quantity input from the approach side detection apparatus 21.
- the measuring object measuring device 10 determines that it has detected the time tn 1 the reflected light amount n1 has changed the predetermined threshold value or higher amount than the amount of reflected light m1.
- the measuring object measuring device 10 determines that it has detected the time tn 2 the amount of reflected light o1 that the variation of the predetermined threshold value or higher amount than the amount of reflected light n1.
- the measuring object measuring apparatus 10 uses the reflected light quantity m1, n1, and o1 whose light quantity has changed by a predetermined threshold or more than the previously detected reflected light quantity based on the reflected light quantity input from the entry side detection device 21.
- Each time when each feature is detected for the first time is identified as feature detection time t3, feature detection time tn 1 , and feature detection time tn 2 .
- the time relationship is assumed to be feature detection time t3 ⁇ feature detection time tn 1 ⁇ feature detection time tn 2 ⁇ feature detection time t11 ⁇ feature detection time t23 ⁇ feature detection time t30.
- the measurement object measuring apparatus 10 determines that the height information A1 is detected at time tn 3 based on the height information input from the passage side detection apparatus 22.
- the measuring object measuring device 10 determines that it has detected more than a predetermined threshold level different height information B1 to the time tn 6 than the height information A1. Further determines that detects a measuring object measuring apparatus 10 is height information height information C1 of different predetermined threshold or higher than B1 at time tn 7. Then, based on the height information input from the passage side detection device 22, the measurement object measuring device 10 detects each time when each feature of the height information A1, B1, and C1 is detected for the first time as a feature detection time tn 3. , Feature detection time tn 6 and feature detection time tn 7 .
- the measuring object measuring device 10 detects the time when it is determined that the road surface has been detected next after detecting the height of the vehicle 30 based on the height information input from the passing side detection device 22, and the time It determines that the feature detection time tn 8 a.
- the measuring object measuring device 10 determines that based on the amount of reflected light input from the pass side detector 22, detects the reflected light amount m1 has changed more than a predetermined threshold value from the reflected light amount of the road at the time tn 3. The measuring object measuring device 10 determines that it has detected the time tn 4 the reflected light quantity n1 has changed the predetermined threshold value or higher amount than the amount of reflected light m1. The measuring object measuring device 10 determines that it has detected the time tn 5 the amount of reflected light o1 that the variation of the predetermined threshold value or higher amount than the amount of reflected light n1.
- the measurement object measuring apparatus 10 uses the reflected light amounts m1, n1, and o1 whose light amounts have changed by a predetermined threshold or more than the previously detected reflected light amount based on the reflected light amount input from the passage side detection device 22.
- Each time when each feature is detected for the first time is identified as feature detection time tn 3 , feature detection time tn 4 , and feature detection time tn 5 .
- the time relationship is assumed to be feature detection time tn 3 ⁇ feature detection time tn 4 ⁇ feature detection time tn 5 ⁇ feature detection time tn 6 ⁇ feature detection time tn 7 ⁇ feature detection time tn 8 .
- the measuring object measuring apparatus 10 uses the speed V1 calculated using the feature detection time when the height information A1 is detected, and the speed calculated using the feature detection time when the height information B1 is detected.
- V2 velocity V3 calculated using the feature detection time when the height information C1 was detected, velocity V5 calculated using the feature detection time when the reflected light amount n1 was detected, and feature detection time when the reflected light amount o1 was detected
- a speed V6 calculated using the feature detection time at which the road surface is detected and a speed V7 calculated using the road surface are calculated.
- FIG. 9 is a diagram illustrating the relationship between each feature detection time and the speed calculated using the feature detection time.
- FIG. 9 shows the relationship between the feature detection time t3 when the height information A1 is detected and the velocity V1 calculated by the measurement object measuring apparatus 10 using the feature detection time t3.
- the measurement object measurement apparatus 10 integrates an expression representing the relationship between the feature detection time shown in FIG. 8 and the speed calculated by the measurement object measurement apparatus 10 using the feature detection time from t3 to t30.
- the vehicle length of the vehicle 30 can be calculated.
- the measurement object measuring apparatus 10 detects the feature detection time when each of the geometric feature (feature based on the height information) and the optical feature (reflected light amount) of the vehicle 30 that is the measurement target is detected.
- the vehicle length L of the vehicle 30 is calculated using each speed.
- the detection time T1 of the vehicle 30 in the entry side detection device 21 the passage time (detection end time) T2 of the vehicle 30 in the entry side detection device 21, and
- the time interval t from when the vehicle 30 is detected by the approach side detection device 21 until it is detected by the passage side detection device 22 and the installation interval between the approach side detection device 21 and the passage side detection device 22 are D
- the length of the vehicle 30 L (D ⁇ t) ⁇ (T2-T1) It can be calculated using the following formula.
- the vehicle length L calculated by such an expression is almost correct when the vehicle 30 is moving at a constant speed v, but the distance between the approach side detection device 21 and the passage side detection device 22 is approximately the same. If you pass while changing the speed at, it will not be an accurate value.
- the vehicle length L is calculated in consideration of the change in speed according to the passage of time using the speed V of the vehicle 30 at many feature detection times.
- the vehicle length L of the vehicle 30 can be calculated with high accuracy. Since the accuracy of the vehicle length L to be calculated increases as the number of features of the vehicle 30 increases, not only geometric features but also optical features are used. By using optical features, even in a box type vehicle 30 such as a bus with a small amount of change in geometric features such as vehicle height, the amount of reflected light changes due to changes in the material of the vehicle part. More characteristic point changes can be detected, and the vehicle speed and the vehicle length L of the vehicle 30 can be measured more accurately.
- FIG. 10 is a diagram showing a processing flow of the measuring object measuring apparatus according to the present embodiment.
- the detection signal extraction unit 18 sequentially inputs detection signals including height information, reflected light amount, detection time, etc. at predetermined time intervals as time passes (step S101). As described above, the detection signal extraction unit 18 reads the height information, the amount of reflected light, and the detection time from the detection signal input from the entry side detection device 21 or the passage side detection device 22 to obtain the height information and the detection time.
- the input unit 11 reads the height information, the reflected light amount, and the detection time from the input detection signal, and the reflected light amount, the detection time, and the identification number of the detection device that detects them (the entry side detection device 21 or the passage side detection).
- the information of the combination with the identification number for identifying one of the devices 22 is output to the signal strength correspondence determining unit 14.
- the height correspondence determination unit 13 obtains the height information in the data example “information input from the approaching side detection device 21” shown in FIG.
- the data example “input information” the height information and each information corresponding to the detection time are input.
- the signal intensity correspondence determining unit 14 also includes information corresponding to the amount of reflected light and the detection time in the data example “information input from the entry side detection device 21” illustrated in FIG. Each information corresponding to the amount of reflected light and the detection time in the “information” data example is input.
- compatible determination part 13 inputs the height information contained in the detection signal transmitted from the approach side detection apparatus 21, for example, the height information (entrance side detection apparatus 21 previously input) is input. (Height information included in the detection signal transmitted from) to determine whether or not the threshold value has changed. Then, when the height information whose change in height information is within the threshold is continuously input for a predetermined number of times or more, the height correspondence determination unit 13 inputs the earliest among the pieces of height information that fall within the threshold. The detection time corresponding to the height information thus determined is determined as the feature detection time at which the height information is first detected by the approach side detection device 21 (step S102). In the example of FIG.
- the time when the height information A1 is first detected by the approach side detection device 21 is determined as the feature detection time t3.
- the time when the height information B1 is first detected by the approach side detection device 21 is the feature detection time t11
- the time when the height information C1 is first detected by the approach side detection device 21 is the feature detection time t23.
- the time at which the road surface height information is first detected by the approach side detection device 21 is determined as the feature detection time t30.
- the feature detection time when the road surface height is first detected coincides with the time when the last height information of the vehicle 30 is detected last.
- the feature detection time tn 3 Determines that the feature detection time tn 3 initially detected time in the pass-side detecting device 22 the height information A1 in the example of FIG. 8.
- the time at which the height information B1 is first detected by the passage side detection device 22 is the feature detection time tn 6 and the time at which the height information C1 is first detected by the passage side detection device 22 is the feature detection time tn 7.
- the time when the road surface height information is first detected by the passage side detection device 22 is determined as the feature detection time tn 8 .
- the height correspondence determination unit 13 determines the feature detection time t3, the feature detection time t11, the feature detection time t23, and the feature detection time t30 determined for the approach side detection device 21, and the feature detection determined for the passage side detection device 22. Correspondence of height information indicating the same part of the vehicle 30 based on the value of height information corresponding to the time tn 3 , feature detection time tn 6 , feature detection time tn 7 , and feature detection time tn 8. Classification is made for each relationship (step S104).
- the height correspondence determining unit 13 compares the value of the height information detected by the feature detection time t3 the entrance side detector 21, the value of the height detected by the passage-side detection device 22 in the feature detection time tn 3 Since the difference is less than or equal to the threshold value, it is determined that the classification is the same.
- the height information A1 detected by the passage-side detection device 22 is associated with the classification information belonging to the same classification, and is written in the queue provided in the second speed calculation unit 15.
- the height correspondence determination unit 13 determines the height information value detected by the approach side detection device 21 at the feature detection time t11 and the height information detected by the passage side detection device 22 at the feature detection time tn 6. Since the difference between the values is equal to or less than the threshold value, the same classification is determined.
- the height information B1 detected by the passage side detection device 22 is associated with the classification information belonging to the same classification, and is written in a queue provided in the second speed calculation unit 15.
- the height correspondence determining unit 13 compares the value of the height detected by the entrance side detection device 21 in the feature detection time t23, the height information detected by the passage-side detection device 22 in the feature detection time tn 7 Since the difference between the values is equal to or less than the threshold value, the same classification is determined.
- the height information C1 detected by the passage side detection device 22 is associated with the classification information belonging to the same classification, and is written in the queue provided in the second speed calculation unit 15.
- the height correspondence determination unit 13 detects the value of the height information (road surface) detected by the approach side detection device 21 at the feature detection time t30 and the passage side detection device 22 at the feature detection time tn 8 . Since the difference in the value of the height information (road surface) is equal to or less than the threshold value, the classification is determined to be the same.
- the road surface height detected by the side detection device 22 is associated with classification information belonging to the same classification, and written in a queue provided in the second speed calculation unit 15.
- the height correspondence determination unit 13 repeats the determination of the feature detection time based on the height information detected by the approach side detection device 21 and the passage side detection device 22 and the classification of the feature detection time as described above. .
- the height correspondence determination unit 13 compares the input height information with the road height stored in advance, and determines that the input height information is the road height. Vehicle passing information indicating that the vehicle has passed through the approach side detection device 21 and the passage side detection device 22 is written in a queue provided in the second speed calculation unit 15 and the first speed calculation unit 16.
- the second speed calculation unit 15 reads the first classification information from the queue.
- the Classification information wherein detection time t3, the feature detection time t3 height information detected by the entrance side detection device 21 to A1, also a feature detection time tn 3, the feature detection time tn 3 to the passage side detection device
- the height information A1 detected at 22 is stored.
- the second speed calculation unit 15 acquires the feature detection time t3 and the feature detection time tn 3 included in the read classification information, and uses the acquired time and the installation interval D to detect the feature detection time t3 or the feature.
- the data is written in the queue provided in the length calculation unit 17. In the present embodiment, it is assumed that the speed V1 and the feature detection time t3 are associated with each other and written to a queue provided in the length calculation unit 17.
- the second speed calculation unit 15 determines whether the information read from the queue next is vehicle passage information (step S106). If it is not vehicle passage information, the calculation of the speed of the vehicle 30 using the feature detection time included in the classification information is repeated. That is, the second speed calculation unit 15 reads the next classification information from the queue.
- the Classification information wherein detection time t11, the feature detection time t11 height information detected by the entrance side detection device 21 to B1, also a feature detection time tn 6, the feature detection time tn 6 to the passage side detection device The height information B1 detected at 22 is stored.
- the second speed calculation unit 15 acquires the feature detection time t11 and the feature detection time tn 6 included in the read classification information, and uses the acquired time and the installation interval D to detect the feature detection time t11 or the feature.
- the second speed calculation unit 15 reads the next classification information from the queue.
- the Classification information wherein detection time t23, the feature detection time t23 the entrance side detector 21 height information C1 detected in addition, a feature detection time tn 7, feature detection time tn 7 to the passage side detection device
- the height information C1 detected at 22 is stored.
- the second speed calculation unit 15 acquires the feature detection time t23 and the feature detection time tn 7 included in the read classification information, and uses the acquired time and the installation interval D to detect the feature detection time t23 or the feature.
- the second speed calculation unit 15 reads the next classification information from the queue.
- the detection time t30 height information detected by the entrance side detection device 21 on the feature detection time t30 (the road surface height), also a feature detection time tn 8, the feature detection time tn 8
- the height information (road surface height) detected by the passage side detection device 22 is stored.
- the second speed calculation unit 15 acquires the feature detection time t30 and the feature detection time tn 8 included in the read classification information, and uses the acquired time and the installation interval D to detect the feature detection time t30 or the feature.
- the second speed calculation unit 15 stops calculating the speed using each feature detection time for one vehicle 30 and sets the vehicle passage information to the length. Write to the queue provided in the calculation unit 17.
- the signal intensity correspondence determining unit 14 inputs the reflected light amount included in the detection signal transmitted from the approach side detection device 21, for example, the previously reflected light amount (transmitted from the approach side detection device 21 is transmitted). It is determined whether or not the amount of reflected light included in the detected signal has changed by a threshold value or more. Then, when the reflected light amount whose change in reflected light amount is within the threshold value is input continuously for a predetermined number of times or more, the signal intensity correspondence determining unit 14 inputs the reflected light amount that is input earliest among the reflected light amounts that fall within the threshold value. Is determined as the feature detection time when the amount of reflected light is first detected by the approach side detection device 21 (step S107). In the example of FIG.
- the time when the reflected light amount m1 is first detected by the approach side detection device 21 is determined as the feature detection time t3. Similarly, determine the amount of reflected light n1, wherein detection time tn 1 initially detected time the entry side detector 21, the detected first time in the entry side detecting device 21 the amount of reflected light o1, wherein detection time tn 2 To do.
- the signal intensity correspondence determining unit 14 inputs the reflected light amount included in the detection signal transmitted from the passage side detection device 22, for example, the reflected light amount (passing side detection device 22) that was input one time before is input. (Amount of reflected light included in the detection signal transmitted from) is determined whether it has changed by a threshold value or more. Then, when the reflected light amount whose change in reflected light amount is within the threshold value is input continuously for a predetermined number of times or more, the signal intensity correspondence determining unit 14 inputs the reflected light amount that is input earliest among the reflected light amounts that fall within the threshold value. Is determined as the feature detection time when the reflected light amount is first detected by the passage side detection device 22 (step S108).
- the feature detection time tn 3 the first time detected in the pass side detecting device 22 reflected light amount m1 in the example of FIG. 8.
- the time when the reflected light amount n1 is first detected by the passage side detection device 22 is determined as a feature detection time tn 4
- the time when the reflected light amount o1 is first detected by the passage side detection device 22 is determined as a feature detection time tn 5.
- the signal intensity corresponding relationship determination unit 14 the feature detection time t3 which is determined for entry side detector 21, the feature detection time tn 1, wherein the detection time tn 2, wherein the detection time tn 3 was determined for passing side detector 22 , Feature detection time tn 4 and feature detection time tn 5 are classified for each correspondence relationship of the reflected light amount indicating the same part of the vehicle 30 based on the value of the reflected light amount corresponding to the detected time (step S109).
- the signal strength correspondence determining unit 14 compares the value of the reflected light amount detected by the entrance side detection device 21 to the feature detection time t3, the difference between the values of the reflected light amount detected by the passage-side detection device 22 in the feature detection time tn 3 Are equal to or less than the threshold value, it is determined that they are the same classification.
- the reflected light amount m1 detected by the side detection device 22 is associated with the classification information belonging to the same classification, and is written in the queue provided in the first speed calculation unit 16.
- the signal intensity correspondence determining unit 14 determines the value of the reflected light amount detected by the approach side detection device 21 at the feature detection time tn 1 and the reflected light amount detected by the passage side detection device 22 at the feature detection time tn 4 . Since the difference in values is equal to or less than the threshold value, it is determined that the classifications are the same. The signal intensity correspondence determining unit 14 then detects the feature detection time tn 1 , the reflected light amount n 1 detected by the entry side detection device 21 at the feature detection time tn 1 , the feature detection time tn 4, and the feature detection time tn 4.
- the reflected light amount n1 detected by the passage-side detection device 22 is associated with the classification information belonging to the same classification, and written to the queue provided in the first speed calculation unit 16.
- the signal strength correspondence determining unit 14 determines the value of the reflected light amount detected by the approach side detection device 21 at the feature detection time tn 2 and the reflected light amount detected by the passage side detection device 22 at the feature detection time tn 5 . Since the difference in values is equal to or less than the threshold value, it is determined that the classifications are the same.
- the signal intensity correspondence determining unit 14 then detects the feature detection time tn 2 , the reflected light amount o 1 detected by the approach side detection device 21 at the feature detection time tn 2 , the feature detection time tn 5, and the feature detection time tn 5.
- the reflected light amount o1 detected by the passage side detection device 22 is associated with the classification information belonging to the same classification, and is written in the queue provided in the first speed calculation unit 16.
- the signal intensity correspondence determination unit 14 repeats the determination of the feature detection time based on the amount of reflected light detected by the approach side detection device 21 and the passage side detection device 22 and the classification of the feature detection time as described above.
- the vehicle passage information output from the height correspondence determination unit 13 described above is written in a queue provided in the first speed calculation unit 16.
- the first speed calculation unit 16 reads the first classification information from the queue. To the classification information, wherein the detection time t3, the feature detection time t3 reflected light amount detected by the entrance side detection device 21 to m1, also a feature detection time tn 3, passing side detection device, wherein the detection time tn 3 22 The amount of reflected light m1 detected in step 1 is stored. The first speed calculation unit 16 acquires the feature detection time t3 and the feature detection time tn 3 included in the read classification information, and uses the acquired time and the installation interval D to detect the feature detection time t3 or the feature.
- the data is written in the queue provided in the length calculation unit 17. In the present embodiment, it is assumed that the speed V4 and the feature detection time t3 are associated with each other and written to a queue provided in the length calculation unit 17.
- the first speed calculation unit 16 determines whether the information read from the queue next is vehicle passage information (step S111). If it is not vehicle passage information, the calculation of the speed of the vehicle 30 using the feature detection time included in the classification information is repeated. That is, the first speed calculation unit 16 reads the next classification information from the queue.
- the Classification information wherein detection time tn 1, the feature detection time tn 1 reflected light amount detected by the entrance side detection device 21 to n1, also a feature detection time tn 4, passing side detection in the feature detection time tn 4 The amount of reflected light n1 detected by the device 22 is stored.
- the first speed calculation unit 16 acquires the feature detection time tn 1 and the feature detection time tn 4 included in the read classification information, and uses the acquired time and the installation interval D to detect the feature detection time tn 1.
- the data is written in the queue provided in the length calculation unit 17. In the present embodiment, in association with the speed V5 and feature detection time tn 1, and written to the queue included in the length calculating unit 17.
- the first speed calculation unit 16 reads the next classification information from the queue.
- the Classification information wherein detection time tn 2, the feature detection time tn 2 the entrance side detector 21 the reflected light quantity o1 detected in, also a feature detection time tn 5, passing side detection in the feature detection time tn 5
- the amount of reflected light o1 detected by the device 22 is stored.
- the first speed calculation unit 16 acquires the feature detection time tn 2 and the feature detection time tn 5 included in the read classification information, and uses the acquired time and the installation interval D to detect the feature detection time tn 2.
- the data is written in the queue provided in the length calculation unit 17. In the present embodiment, in association with the speed V6 and feature detection time tn 2, and written into the queue included in the length calculating unit 17.
- the first speed calculation unit 16 stops the calculation of the speed using each feature detection time for one vehicle 30 and sets the vehicle passage information to the length. Write to the queue provided in the calculation unit 17.
- the queue provided in the length calculation unit 17 is now Information in which the speed V1 and the feature detection time t3 are associated with each other; Information in which the speed V2 is associated with the feature detection time t11, Information in which the speed V3 and the feature detection time t23 are associated with each other; Information in which the speed V4 and the feature detection time t3 are associated with each other; Information in which the speed V5 and the feature detection time tn 1 are associated with each other, Information in which the speed V6 and the feature detection time tn 2 are associated with each other, Information in which the speed V7 and the passage time t30 are associated with each other; Vehicle passing information, Is recorded.
- the length calculation unit 17 uses the queues to obtain information about the combination of the speed V1 and the feature detection time t3, information about the combination of the speed V2 and the feature detection time t11, and the combination of the speed V3 and the feature detection time t23. information, the combination of information between the speed V4 and the feature detection time t3, the combination of information between the speed V5 and feature detection time tn 1, and the combination information of the speed V6 and feature detection time tn 2, speed V7 and passage time t30 The information on the combination and the vehicle passage information are sequentially read.
- the length calculation unit 17 temporarily stops reading the information from the queue, reads the feature detection time from the information of each combination, and determines whether there is a matching feature detection time. To do. Then, when there is a matching feature detection time, the length calculation unit 17 determines to exclude the combination information including the later feature detection time from the information used for processing.
- the feature detection times coincide in the information on the combination of the speed V1 and the feature detection time t3 and the information on the combination of the speed V4 and the feature detection time t3. Therefore, the length calculation unit 17 determines to exclude the information on the combination of the speed V4 and the feature detection time t3 from the information used for processing. Note that information determined to be excluded from information used for processing may be deleted.
- the length calculation unit 17 includes information on the combination of the speed V1 and the feature detection time t3, information on the combination of the speed V2 and the feature detection time t11, information on the combination of the speed V3 and the feature detection time t23, and the speed V5.
- the vehicle length L of the vehicle 30 is calculated using information on the combination of the vehicle speed and the feature detection time tn 1 and information on the combination of the speed V6 and the feature detection time tn 2 (step S112). More specifically, information of two combinations is specified in the order of early feature detection time.
- the length calculation unit 17 is a function when x is a feature detection time and y is a speed, and passes through (speed V1, feature detection time t3) and (speed V5, feature detection time tn 1 ). function was using the equation shown, for calculating the integral value from the feature detection time t3 to the feature detection time tn 1. Then, the combination information including the earliest feature detection time is excluded from the information used for processing. The information on the combination to be excluded is information on the combination of the speed V1 and the feature detection time t3.
- the length calculation unit 17 specifies information of two combinations in the order of early feature detection time among the combination information that is not currently excluded.
- information on the combination of speed V5 and feature detection time tn 1 and information on the combination of speed V6 and feature detection time tn 2 are specified.
- the length calculation unit 17 is a function where x is a feature detection time and y is a speed, and (speed V5, feature detection time tn 1 ) and (speed V6, feature detection time tn 2 ) An integral value from the feature detection time tn 1 to the feature detection time tn 2 is calculated using an expression indicated by the passing function.
- the combination information including the earliest feature detection time is excluded from the information used for processing. Information combinations are excluded, the information of the combination of the speed V5 and feature detection time tn 1.
- the length calculation unit 17 specifies information of two combinations in the order of early feature detection time among the combination information that is not currently excluded.
- identification and combination of the speed V6 and feature detection time tn 2 information the information of the combination of the speed V2 and the feature detection time t11.
- the length calculation unit 17 is a function when x is a feature detection time and y is a speed, and passes through (speed V6, feature detection time tn 2 ) and (speed V2, feature detection time t11).
- An integral value from the feature detection time tn 2 to the feature detection time t11 is calculated using an expression indicated by the function.
- the combination information including the earliest feature detection time is excluded from the information used for processing. Information combinations are excluded, the information of the combination of the speed V6 and feature detection time tn 2.
- the length calculation unit 17 specifies information of two combinations in the order of early feature detection time among the combination information that is not currently excluded.
- information on the combination of the speed V2 and the feature detection time t11 and information on the combination of the speed V3 and the feature detection time t23 are specified.
- the length calculation unit 17 is a function when x is a feature detection time and y is a speed, and passes through (speed V2, feature detection time t11) and (speed V3, feature detection time t23). Is calculated from the feature detection time t11 to the feature detection time t23.
- the combination information including the earliest feature detection time is excluded from the information used for processing.
- the information on the excluded combination is information on the combination of the speed V2 and the feature detection time t11.
- the length calculation unit 17 specifies information of two combinations in the order of early feature detection time among the combination information that is not currently excluded.
- information on the combination of speed V3 and feature detection time t23 and information on the combination of speed V7 and feature detection time t30 are specified.
- the length calculation unit 17 is a function when x is a feature detection time and y is a speed, and passes through (speed V3, feature detection time t23) and (speed V7, feature detection time t30). Is calculated from the feature detection time t23 to the feature detection time t30.
- the combination information including the earliest feature detection time is excluded from the information used for processing.
- the information on the excluded combination is information on the combination of the speed V3 and the feature detection time t23.
- the length calculation unit 17 sums up the results calculated by integration, and outputs this as the length L of the vehicle 30.
- the length calculation unit 17 uses the x-axis as the feature detection time and the y-axis as the speed, and (speed V1, feature detection time t3), (speed V5, feature detection time tn 1 ), (speed V6, feature detection time). tn 2 ), (velocity V2, feature detection time t11), (velocity V3, feature detection time t23) and (velocity V7, feature detection time t30) are obtained as smooth approximation formulas, and the approximate formulas are used. Thus, an integrated value from the feature detection time t3 with the earliest detection time to the feature detection time t30 with the latest detection time may be calculated and output as the length L of the vehicle 30.
- the height correspondence determination unit 13 falls within the threshold when the height information whose change in height information is within the threshold is continuously input a predetermined number of times or more.
- the detection time corresponding to the earliest input height information is determined as the feature detection time at which the height information was first detected.
- the height information whose change in height information is within the threshold is continuously input for a predetermined number of times or more, the earliest input height information among the pieces of height information that fall within the threshold is the measurement target. Since the height of the object changes, the reliability of the detected height information value is low.
- Information detection time may be determined as feature detection time. That is, in this case, referring to FIG. 7, for example, the detection time t4 is determined as the feature detection time of the height information A1, the detection time t12 is determined as the feature detection time of the height information B1, and the detection time t24 is set as the detection time t24. It will be determined as the feature detection time of the height information C1.
- the signal intensity correspondence determination unit 14 inputs each amount of reflected light whose change in reflected light amount is within the threshold value continuously for a predetermined number of times or more.
- the detection time corresponding to the reflected light amount input earliest is determined as the feature detection time at which each reflected light amount that falls within the threshold is first detected.
- the amount of reflected light whose change in reflected light amount is within the threshold is continuously input for a predetermined number of times or more, the earliest reflected light amount among the reflected light amounts that fall within the threshold is the reflected light amount of the measurement object. Therefore, the reliability of the detected amount of reflected light is low.
- the detection time of the reflected light amount other than the earliest input reflected light amount among the reflected light amounts that fall within the threshold value is set.
- the feature detection time may be determined. That is, in this case, referring to FIG. 8, for example, the next detection time after the detection time tn 1 is determined as the feature detection time of the reflected light amount n1, and the next detection time after the detection time tn 2 is the feature of the reflected light amount o1. The detection time is determined.
- the length of the measurement object is determined by using the detection time of the geometric feature of the measurement object and the detection time of the optical feature in each detection device installed in the traveling direction.
- An example of calculating the thickness is described.
- the present invention is not limited to this, and the detection time of the optical feature of the measurement object is used instead of the detection time of the geometric feature of the measurement object in each detection device installed in the traveling direction.
- the length of the measurement object may be calculated.
- the measurement object is used by using the optical characteristics of the measurement object (characteristics in which the amount of reflected light changes greatly, such as the color of the glass surface of the vehicle 30 or the color of the body). Can be measured.
- the measurement object measuring apparatus 10 described above has a computer system inside.
- Each process described above is stored in a computer-readable recording medium in the form of a program, and the above process is performed by the computer reading and executing the program.
- the computer-readable recording medium means a magnetic disk, a magneto-optical disk, a CD-ROM, a DVD-ROM, a semiconductor memory, or the like.
- the computer program may be distributed to the computer via a communication line, and the computer that has received the distribution may execute the program.
- the program may be for realizing a part of the functions described above. Furthermore, what can implement
- an appropriate vehicle detection signal is selected from detection signals input from a plurality of detection apparatuses installed at a distance. Can be extracted.
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Abstract
This processing method in a device (10) for measuring an object to be measured involves reading feature change information from feature detection information from an entrance-side detection device (21) and, out of the feature change information in an exit-side detection device (22), identifying feature detection information that includes the same feature change information. Of the identified feature detection information, feature detection information is identified that contains an assumed time, which is calculated by substituting into a prescribed function a feature detection time contained in one detection signal inputted from the entrance-side detection device (21), and a feature detection time closest to the time. The detection signal inputted from the entrance-side detection device (21), and the detection signal inputted from the exit-side detection device (22) used in generation of the identified feature detection information, are determined to be the detection signals corresponding to when the same feature of a vehicle (30) is detected.
Description
本発明は、測定対象物の長さを測定する測定対象物測定装置及びその処理方法とプログラムに関する。
本願は、2011年09月29日に日本に出願された特願2011-215483号について優先権を主張し、その内容をここに援用する。 The present invention relates to a measurement object measuring apparatus that measures the length of a measurement object, a processing method thereof, and a program.
This application claims priority on Japanese Patent Application No. 2011-215383 filed in Japan on September 29, 2011, the contents of which are incorporated herein by reference.
本願は、2011年09月29日に日本に出願された特願2011-215483号について優先権を主張し、その内容をここに援用する。 The present invention relates to a measurement object measuring apparatus that measures the length of a measurement object, a processing method thereof, and a program.
This application claims priority on Japanese Patent Application No. 2011-215383 filed in Japan on September 29, 2011, the contents of which are incorporated herein by reference.
有料道路では、所定区間の道路を通行した車両の大きさに基づいて通行料を設定している。また、例えばETCシステムやERPシステムなどでは、車載器との通信により得られる車種情報と、車両の外形を計測して特定した車種の整合性を判定し、車載器の不正な載せ替えなどの取り締まりを行っている。従って、有料道路では車両の大きさ、すなわち車長、車高、車幅といった車両の諸元を正確に判定する必要がある。そして、車両の大きさを判定する技術が特許文献1および特許文献2に開示されている。
In toll roads, tolls are set based on the size of the vehicles that have traveled on the roads in the specified section. For example, in the ETC system and ERP system, the vehicle type information obtained by communication with the vehicle-mounted device and the consistency of the vehicle type specified by measuring the vehicle outer shape are determined, and the vehicle equipment is illegally replaced. It is carried out. Therefore, on the toll road, it is necessary to accurately determine the vehicle size, that is, the vehicle specifications such as the vehicle length, vehicle height, and vehicle width. And the technique which determines the magnitude | size of a vehicle is disclosed by patent document 1 and patent document 2. FIG.
ここで上述の特許文献は、測定装置が照射するレーザにより車両の大きさを計測する技術を含むものであるが、車両の長さ方向の大きさ(以下、車長と呼ぶ)を計測する際には、距離を隔てて設置された複数の検出装置の間を通行する車両の加速や減速の影響を考慮する必があり、これにより、車両の車長の測定精度を向上させることが求められている。そしてこのような車両の車長の測定精度を向上させるにあたり、適切な車両の検出信号を、距離を隔てて設置された複数の検出装置より入力した検出信号の中から抽出する必要がある。
Here, the above-mentioned patent document includes a technique for measuring the size of the vehicle with a laser emitted by the measuring device, but when measuring the size in the length direction of the vehicle (hereinafter referred to as the vehicle length). Therefore, it is necessary to consider the influence of acceleration and deceleration of a vehicle passing between a plurality of detection devices installed at a distance, and there is a need to improve the measurement accuracy of the vehicle length of the vehicle. . In order to improve the measurement accuracy of the vehicle length of such a vehicle, it is necessary to extract an appropriate vehicle detection signal from detection signals input from a plurality of detection devices installed at a distance.
そこでこの発明は、上述の課題を解決することのできる測定対象物測定装置及びその処理方法とプログラムを提供することを目的としている。
Therefore, an object of the present invention is to provide a measuring object measuring apparatus, a processing method thereof, and a program capable of solving the above-described problems.
上記目的を達成するために、本発明は、測定対象物の進行方向に所定の設置間隔を開けて設置された進入側検出装置と通過側検出装置のそれぞれより前記測定対象物の特徴を示す検出信号を入力する入力部と、前記進入側検出装置および前記通過側検出装置より前記検出信号を入力する毎に、前記測定対象物の特徴の増加または減少の値を示す特徴増減情報と当該検出信号に含まれる特徴検出時刻とを含む特徴検出情報を、入力した検出信号に基づいて生成する特徴検出情報生成部と、前記進入側検出装置で前記測定対象物についての前記検出信号を最初に検出した後の時間軸で前記進入側検出装置が前記測定対象物を検出した際の前記特徴検出時刻と、前記時間軸で前記通過側検出装置が前記測定対象物を検出した際の前記特徴検出時刻との関係を表す二次元の座標系において、前記進入側検出装置と前記通過側検出装置の2つの検出装置それぞれにおける最初の特徴検出時刻を成分とする点と、前記2つの検出装置における前記測定対象物に対する最後の特徴検出時刻を成分とする点とを通る関数であって、前記進入側検出装置と前記通過側検出装置の間を走行した前記測定対象物の平均加速度による、前記進入側検出装置と前記通過側検出装置での測定対象物の各特徴の通過時刻を表す関数を導く関数導出部と、入力した検出信号に含まれる前記特徴検出時刻を一方の成分として前記関数に代入して他方の成分を算出することで、前記測定対象物が前記平均加速度で前記進入側検出装置と前記通過側検出装置の間を走行したと仮定した場合に、前記進入側検出装置または前記通過側検出装置の何れか一方の検出装置から入力した検出信号に基づいて生成された特徴検出情報の示す特徴が他方の検出装置で検出される可能性のある仮定時刻を算出する仮定時刻算出部と、前記一方の検出装置からの一つの検出信号に基づいて生成された特徴検出情報を特定し、当該特徴検出情報から特徴増減情報を読み取って、前記他方の検出装置からの検出信号に基づいて生成された特徴検出情報のうち、前記読み取った特徴増減情報の示す増加または減少の何れかの値と同じ値を示す特徴増減情報を含む特徴検出情報を特定する特徴検出情報候補特定部と、この特定した特徴検出情報のうち、前記一方の検出装置より入力した前記一つの検出信号に含まれる特徴検出時刻を一方の成分として前記関数に代入して他方の成分を算出して得た仮定時刻と、最も時刻の近い特徴検出時刻を含む特徴検出情報を特定する特徴検出情報特定部と、前記一方の検出装置より入力した一つの検出信号と、前記特徴検出情報特定部が特定した特徴検出情報の生成に用いた他方の検出装置より入力した検出信号とを、前記測定対象物の特徴点を検出した際の対応する検出信号と判定する検出信号対応関係判定部と、を備える測定対象物測定装置である。
In order to achieve the above object, the present invention provides a detection that shows the characteristics of the measurement object from each of an entry-side detection device and a passage-side detection device that are installed with a predetermined installation interval in the traveling direction of the measurement object. Each time the detection signal is input from the input unit that inputs a signal, the entry side detection device, and the passage side detection device, the feature increase / decrease information indicating the value of increase or decrease of the feature of the measurement object and the detection signal And a feature detection information generating unit that generates feature detection information including the feature detection time included in the input detection signal, and the detection signal for the measurement object is first detected by the approach side detection device. The feature detection time when the approach side detection device detects the measurement object on a later time axis, and the feature detection time when the passage side detection device detects the measurement object on the time axis In the two-dimensional coordinate system representing the relationship between the two detection devices, the first feature detection time in each of the two detection devices of the approach side detection device and the passage side detection device, and the measurement object in the two detection devices The approach side detection device is a function that passes through a point having the last feature detection time for an object as a component, and is based on an average acceleration of the measurement object that has traveled between the entrance side detection device and the passage side detection device. And a function derivation unit for deriving a function representing the passage time of each feature of the measurement object in the passage-side detection device, and the feature detection time included in the input detection signal is substituted into the function as one component and the other When the measurement object is assumed to have traveled between the entry side detection device and the passage side detection device at the average acceleration, the entry side detection device or the front side is calculated. An assumed time calculation unit that calculates an assumed time at which the feature indicated by the feature detection information generated based on the detection signal input from any one of the passing side detection devices may be detected by the other detection device. And identifying feature detection information generated based on one detection signal from the one detection device, reading feature increase / decrease information from the feature detection information, and based on the detection signal from the other detection device Among the generated feature detection information, a feature detection information candidate specifying unit that specifies feature detection information including feature increase / decrease information that indicates the same value as either the increase or decrease indicated by the read feature increase / decrease information, and Of the identified feature detection information, the feature detection time included in the one detection signal input from the one detection device is substituted into the function as one component to calculate the other component. And a feature detection information specifying unit that specifies feature detection information including the closest feature detection time, a single detection signal input from the one detection device, and the feature detection information specifying unit. A detection signal correspondence determining unit that determines a detection signal input from the other detection device used to generate the specified feature detection information as a corresponding detection signal when the feature point of the measurement object is detected; A measuring object measuring apparatus provided.
また本発明は、上述の測定対象物測定装置において、前記進入側検出装置において前記最初の特徴検出時刻から前記最後の特徴検出時刻までの間に前記測定対象物を検出した回数と、前記通過側検出装置において前記最初の特徴検出時刻から前記最後の特徴検出時刻までの間に前記測定対象物を検出した回数と、を比較して、前記進入側検出装置と前記通過側検出装置のうち、前記測定対象物を検出した回数が少ない検出装置を、前記一方の検出装置と特定する基準検出装置特定部と、を備える。
Further, the present invention provides the above-described measurement object measuring apparatus, the number of times that the measurement object is detected between the first feature detection time and the last feature detection time in the entry side detection device, and the passage side Compared with the number of times the measurement object is detected between the first feature detection time and the last feature detection time in the detection device, among the entry side detection device and the passage side detection device, the A reference detection device specifying unit that specifies a detection device with a small number of times of detection of the measurement object as the one detection device.
また本発明は、上述の測定対象物測定装置において、前記入力部は、前記測定対象物へ照射した光照射信号に対応する光反射信号の強度を示す特徴とその特徴検出時刻を含む検出信号を、前記進入側検出装置と前記通過側検出装置のそれぞれより入力し、前記特徴検出情報生成部は、当該検出信号に基づいて、前記測定対象物の光学的特徴を示す測定対象物特徴の増加または減少の値を示す特徴増減情報と前記検出信号に含まれる特徴検出時刻とを含む特徴検出情報を生成する。
According to the present invention, in the measurement object measuring apparatus described above, the input unit receives a detection signal including a characteristic indicating the intensity of the light reflection signal corresponding to the light irradiation signal irradiated to the measurement object and the characteristic detection time. , Input from each of the entry side detection device and the passage side detection device, the feature detection information generation unit, based on the detection signal, an increase in the measurement target feature indicating the optical feature of the measurement target or Feature detection information including feature increase / decrease information indicating a decrease value and a feature detection time included in the detection signal is generated.
また本発明は、上述の測定対象物測定装置において、前記入力部は、前記光照射信号の照射時刻と前記光反射信号の受信時刻との送受信間隔を用いて検出された前記測定対象物の高さ情報を示す特徴とその特徴検出時刻を含む検出信号を、前記進入側検出装置と前記通過側検出装置のそれぞれより入力し、前記特徴検出情報生成部は、当該検出信号に基づいて、前記測定対象物の幾何学的特徴を示す測定対象物特徴の増加または減少の値を示す特徴増減情報と前記検出信号に含まれる特徴検出時刻とを含む特徴検出情報を生成する。
According to the present invention, in the measurement object measuring apparatus described above, the input unit is configured to detect the height of the measurement object detected using a transmission / reception interval between the irradiation time of the light irradiation signal and the reception time of the light reflection signal. The detection signal including the feature indicating the feature information and the feature detection time is input from each of the entry side detection device and the passage side detection device, and the feature detection information generation unit performs the measurement based on the detection signal. Feature detection information including feature increase / decrease information indicating an increase or decrease value of the measurement target feature indicating the geometric feature of the target and a feature detection time included in the detection signal is generated.
また本発明は、上述の測定対象物測定装置において、前記検出信号対応関係判定部は、前記特徴検出情報候補特定部によって特定された特徴検出情報に含まれる特徴検出時刻のうち、前記一方の検出装置より入力した前記一つの検出信号に含まれる特徴検出時刻を一方の成分として前記関数に代入して他方の成分を算出して得た仮定時刻と最も時刻の近い特徴検出時刻が、当該仮定時刻と所定の時間差以内である場合にのみ、前記一方の検出装置より入力した一つの検出信号と、前記特徴検出情報特定部が特定した特徴検出情報の生成に用いた他方の検出装置より入力した検出信号とを、前記測定対象物の特徴点を検出した際の対応する検出信号と判定する。
In the measurement object measuring apparatus described above, the detection signal correspondence determination unit may detect one of the feature detection times included in the feature detection information specified by the feature detection information candidate specifying unit. The feature detection time closest to the assumed time obtained by substituting the feature detection time included in the one detection signal input from the apparatus as one component into the function and calculating the other component is the assumed time. And a detection signal input from the other detection device used to generate the feature detection information specified by the feature detection information specifying unit and only one detection signal input from the one detection device. The signal is determined as a corresponding detection signal when the feature point of the measurement object is detected.
また本発明は、上述の測定対象物測定装置において、前記進入側検出装置より前記測定対象物について最初に入力した検出信号に含まれる特徴検出時刻と前記通過側検出装置より前記測定対象物について最初に入力した検出信号に含まれる特徴検出時刻の前後関係と、前記進入側検出装置より前記測定対象物について最後に入力した検出信号に含まれる特徴検出時刻と前記通過側検出装置より前記測定対象物について最後に入力した検出信号に含まれる特徴検出時刻の前後関係とを比較して、それら前後関係が異なる場合には、前記進入側検出装置と前記通過側検出装置とから入力する検出信号の対応関係の判定を停止する対応関係判定停止部と、を備える。
According to the present invention, in the above-described measurement object measuring apparatus, the feature detection time included in the detection signal first input about the measurement object from the entry side detection apparatus and the measurement object from the passage side detection apparatus The feature detection time included in the detection signal input to the front and back, the feature detection time included in the detection signal last input for the measurement object from the entry side detection device, and the measurement object from the passage side detection device If the front-rear relationship of the feature detection times included in the last-input detection signal is different and the front-rear relationship is different, the response of the detection signal input from the entry-side detection device and the passage-side detection device A correspondence determination stop unit that stops the determination of the relationship.
また本発明は、上述の測定対象物測定装置において、前記測定対象物の特徴点を検出した際の対応する検出信号と判定された、前記一方の検出装置から入力した一つの検出信号と、前記他方の検出装置から入力した検出信号のそれぞれに含まれる特徴検出時刻の組合せ複数と、前記設置間隔とに基づいて、前記測定対象物の前記特徴点のそれぞれについての速度を算出する速度算出部と、を備える。
Further, the present invention provides the above-described measurement object measurement apparatus, wherein one detection signal input from the one detection apparatus is determined as a corresponding detection signal when the feature point of the measurement object is detected; A speed calculation unit that calculates a speed for each of the feature points of the measurement object based on a plurality of combinations of feature detection times included in each of the detection signals input from the other detection device and the installation interval; .
また本発明は、上述の測定対象物測定装置において、前記特徴点のそれぞれについての速度と、前記進入側検出装置から入力した検出信号に含まれる特徴検出時刻または前記通過側検出装置から入力した検出信号に含まれる特徴検出時刻の何れか一方または両方に基づいて、前記測定対象物の前記進行方向の長さを算出する長さ算出部と、を備える。
In the measurement object measuring apparatus described above, the present invention provides the speed of each of the feature points and the feature detection time included in the detection signal input from the entry side detection device or the detection input from the passage side detection device. A length calculation unit that calculates the length of the measurement object in the traveling direction based on one or both of the feature detection times included in the signal.
また本発明は、測定対象物測定装置の処理方法であって、入力部が、測定対象物の進行方向に所定の設置間隔を開けて設置された進入側検出装置と通過側検出装置のそれぞれより前記測定対象物の特徴を示す検出信号を入力し、特徴検出情報生成部が、前記進入側検出装置および前記通過側検出装置より前記検出信号を入力する毎に、前記測定対象物の特徴の増加または減少の値を示す特徴増減情報と当該検出信号に含まれる特徴検出時刻とを含む特徴検出情報を、入力した検出信号に基づいて生成し、関数導出部が、前記進入側検出装置で前記測定対象物についての前記検出信号を最初に検出した後の時間軸で前記進入側検出装置が前記測定対象物を検出した際の前記特徴検出時刻と、前記時間軸で前記通過側検出装置が前記測定対象物を検出した際の前記特徴検出時刻との関係を表す二次元の座標系において、前記進入側検出装置と前記通過側検出装置の2つの検出装置それぞれにおける最初の特徴検出時刻を成分とする点と、前記2つの検出装置における前記測定対象物に対する最後の特徴検出時刻を成分とする点とを通る関数であって、前記進入側検出装置と前記通過側検出装置の間を走行した前記測定対象物の平均加速度による、前記進入側検出装置と前記通過側検出装置での測定対象物の各特徴の通過時刻を表す関数を導き、仮定時刻算出部が、入力した検出信号に含まれる前記特徴検出時刻を一方の成分として前記関数に代入して他方の成分を算出することで、前記測定対象物が前記平均加速度で前記進入側検出装置と前記通過側検出装置の間を走行したと仮定した場合に、前記進入側検出装置または前記通過側検出装置の何れか一方の検出装置から入力した検出信号に基づいて生成された特徴検出情報の示す特徴が他方の検出装置で検出される可能性のある仮定時刻を算出し、特徴検出情報候補特定部が、前記一方の検出装置からの一つの検出信号に基づいて生成された特徴検出情報を特定し、当該特徴検出情報から特徴増減情報を読み取って、前記他方の検出装置からの検出信号に基づいて生成された特徴検出情報のうち、前記読み取った特徴増減情報の示す増加または減少の何れかの値と同じ値を示す特徴増減情報を含む特徴検出情報を特定し、特徴検出情報特定部が、この特定した特徴検出情報のうち、前記一方の検出装置より入力した前記一つの検出信号に含まれる特徴検出時刻を一方の成分として前記関数に代入して他方の成分を算出して得た仮定時刻と、最も時刻の近い特徴検出時刻を含む特徴検出情報を特定し、検出信号対応関係判定部が、前記一方の検出装置より入力した一つの検出信号と、前記特徴検出情報特定部が特定した特徴検出情報の生成に用いた他方の検出装置より入力した検出信号とを、前記測定対象物の特徴点を検出した際の対応する検出信号と判定する処理方法である。
Further, the present invention is a processing method for a measurement object measuring device, wherein the input unit is provided by each of an entry side detection device and a passage side detection device installed with a predetermined installation interval in the traveling direction of the measurement object. A detection signal indicating the characteristic of the measurement object is input, and the feature detection information generation unit increases the characteristic of the measurement object each time the detection signal is input from the entry side detection device and the passage side detection device. Alternatively, feature detection information including feature increase / decrease information indicating a decrease value and feature detection time included in the detection signal is generated based on the input detection signal, and a function derivation unit performs the measurement with the entry side detection device. The feature detection time when the entry-side detection device detects the measurement object on the time axis after first detecting the detection signal for the object, and the passage-side detection device on the time axis performs the measurement Object In a two-dimensional coordinate system representing the relationship with the feature detection time at the time of detection, a point having the first feature detection time in each of the two detection devices of the entry side detection device and the passage side detection device as a component, A function passing through a point having the last feature detection time for the measurement object in the two detection devices as a component, and the measurement object traveling between the entry side detection device and the passage side detection device. A function representing the passage time of each feature of the measurement object in the approach side detection device and the passage side detection device based on the average acceleration is derived, and the assumed time calculation unit calculates the feature detection time included in the input detection signal. Assuming that the measurement object travels between the entry side detection device and the passage side detection device at the average acceleration by substituting the component as one component and calculating the other component. In this case, there is a possibility that the feature indicated by the feature detection information generated based on the detection signal input from either the entry side detection device or the passage side detection device is detected by the other detection device. A certain assumed time is calculated, the feature detection information candidate specifying unit specifies the feature detection information generated based on one detection signal from the one detection device, and reads the feature increase / decrease information from the feature detection information. Feature detection including feature increase / decrease information indicating the same value as either the increase or decrease indicated by the read feature increase / decrease information among the feature detection information generated based on the detection signal from the other detection device The information is specified, and the feature detection information specifying unit sets the feature detection time included in the one detection signal input from the one detection device as one component of the specified feature detection information. The feature detection information including the assumed time obtained by calculating the other component by substituting into the function and the feature detection time closest to the time is specified, and the detection signal correspondence determination unit determines the one detection device When the feature point of the measurement object is detected using one detection signal input from the other detection device and the detection signal input from the other detection device used for generating the feature detection information specified by the feature detection information specifying unit. This is a processing method for determining a corresponding detection signal.
また本発明は、測定対象物測定装置のコンピュータを、測定対象物の進行方向に所定の設置間隔を開けて設置された進入側検出装置と通過側検出装置のそれぞれより前記測定対象物の特徴を示す検出信号を入力する入力手段、前記進入側検出装置および前記通過側検出装置より前記検出信号を入力する毎に、前記測定対象物の特徴の増加または減少の値を示す特徴増減情報と当該検出信号に含まれる特徴検出時刻とを含む特徴検出情報を、入力した検出信号に基づいて生成する特徴検出情報生成手段、前記進入側検出装置で前記測定対象物についての前記検出信号を最初に検出した後の時間軸で前記進入側検出装置が前記測定対象物を検出した際の前記特徴検出時刻と、前記時間軸で前記通過側検出装置が前記測定対象物を検出した際の前記特徴検出時刻との関係を表す二次元の座標系において、前記進入側検出装置と前記通過側検出装置の2つの検出装置それぞれにおける最初の特徴検出時刻を成分とする点と、前記2つの検出装置における前記測定対象物に対する最後の特徴検出時刻を成分とする点とを通る関数であって、前記進入側検出装置と前記通過側検出装置の間を走行した前記測定対象物の平均加速度による、前記進入側検出装置と前記通過側検出装置での測定対象物の各特徴の通過時刻を表す関数を導く関数導出手段、入力した検出信号に含まれる前記特徴検出時刻を一方の成分として前記関数に代入して他方の成分を算出することで、前記測定対象物が前記平均加速度で前記進入側検出装置と前記通過側検出装置の間を走行したと仮定した場合に、前記進入側検出装置または前記通過側検出装置の何れか一方の検出装置から入力した検出信号に基づいて生成された特徴検出情報の示す特徴が他方の検出装置で検出される可能性のある仮定時刻を算出する仮定時刻算出手段、前記一方の検出装置からの一つの検出信号に基づいて生成された特徴検出情報を特定し、当該特徴検出情報から特徴増減情報を読み取って、前記他方の検出装置からの検出信号に基づいて生成された特徴検出情報のうち、前記読み取った特徴増減情報の示す増加または減少の何れかの値と同じ値を示す特徴増減情報を含む特徴検出情報を特定する特徴検出情報候補特定手段、この特定した特徴検出情報のうち、前記一方の検出装置より入力した前記一つの検出信号に含まれる特徴検出時刻を一方の成分として前記関数に代入して他方の成分を算出して得た仮定時刻と、最も時刻の近い特徴検出時刻を含む特徴検出情報を特定する特徴検出情報特定手段、前記一方の検出装置より入力した一つの検出信号と、前記特徴検出情報特定手段が特定した特徴検出情報の生成に用いた他方の検出装置より入力した検出信号とを、前記測定対象物の特徴点を検出した際の対応する検出信号と判定する検出信号対応関係判定手段、として機能させるプログラムである。
Further, the present invention relates to a computer of a measurement object measuring device, wherein the characteristics of the measurement object are respectively determined from an entrance side detection device and a passage side detection device that are installed with a predetermined installation interval in the traveling direction of the measurement object. Each time the detection signal is input from the input means for inputting the detection signal indicating, the entry side detection device and the passage side detection device, the feature increase / decrease information indicating the increase or decrease value of the feature of the measurement object and the detection Feature detection information generating means for generating feature detection information including the feature detection time included in the signal based on the input detection signal, and the detection signal for the measurement object is first detected by the entry side detection device The feature detection time when the entry-side detection device detects the measurement object on a later time axis, and before the feature detection time when the passage-side detection device detects the measurement object on the time axis In the two-dimensional coordinate system representing the relationship with the feature detection time, the two detection devices include a point having the first feature detection time as a component in each of the two detection devices of the approach side detection device and the passage side detection device. Is a function that passes through a point having the last feature detection time for the measurement object as a component, and the average acceleration of the measurement object that has traveled between the entry side detection device and the passage side detection device, Function deriving means for deriving a function representing the passage time of each feature of the measurement object in the approach side detection device and the passage side detection device, and the feature detection time included in the input detection signal is substituted into the function as one component By calculating the other component, the entry side detection is performed when it is assumed that the measurement object travels between the entry side detection device and the passage side detection device at the average acceleration. Assumption to calculate an assumed time at which the feature indicated by the feature detection information generated based on the detection signal input from either the detection device or the detection device of the passing side may be detected by the other detection device The time calculation means identifies feature detection information generated based on one detection signal from the one detection device, reads feature increase / decrease information from the feature detection information, and generates a detection signal from the other detection device. Feature detection information candidate specifying means for specifying feature detection information including feature increase / decrease information indicating the same value as either the increase or decrease indicated by the read feature increase / decrease information among the feature detection information generated based on the feature detection information, Of the specified feature detection information, the feature detection time included in the one detection signal input from the one detection device is substituted into the function as one component and the other An assumed time obtained by calculating a component of the feature, feature detection information specifying means for specifying feature detection information including the closest feature detection time, one detection signal input from the one detection device, and the feature detection Detection signal correspondence determination that determines the detection signal input from the other detection device used for generating the feature detection information specified by the information specifying means as the corresponding detection signal when the feature point of the measurement object is detected It is a program that functions as a means.
本発明の測定対象物測定装置の処理によれば、車両の車長を測定するにあたり、適切な車両の検出信号を、距離を隔てて設置された複数の検出装置より入力した検出信号の中から抽出することができる。
According to the processing of the measurement object measuring apparatus of the present invention, when measuring the vehicle length, an appropriate vehicle detection signal is selected from detection signals input from a plurality of detection apparatuses installed at a distance. Can be extracted.
以下、本発明の一実施形態による測定対象物測定装置を備えた測定システムを図面を参照して説明する。
図1は同実施形態による測定システムの構成を示す図である。
この図において、符号10は測定対象物の大きさを測定する測定対象物測定装置である。本実施形態においては、測定対象物測定装置10は、測定対象物の大きさとして車両30の車長を測定するものである。車両30は、道路を進行方向(図中右から左方向)に進むものとする。また図1において符号21は進入側検出装置、符号22は通過側検出装置である。進入側検出装置21と、通過側検出装置22は、レーザセンサを備え、当該レーザセンサの照射信号(光照射信号)に対応する反射信号(光反射信号)を受信する。これにより進入側検出装置21や通過側検出装置22は、照射信号の照射時刻と当該信号に対応して受信する反射信号の受信時刻の差と、光信号の速度とから測定対象物までの距離を検出し、また反射信号の強度(反射光量)を検出する。 Hereinafter, a measuring system including a measuring object measuring apparatus according to an embodiment of the present invention will be described with reference to the drawings.
FIG. 1 is a diagram showing a configuration of a measurement system according to the embodiment.
In this figure,reference numeral 10 denotes a measuring object measuring apparatus for measuring the size of the measuring object. In the present embodiment, the measuring object measuring apparatus 10 measures the vehicle length of the vehicle 30 as the size of the measuring object. It is assumed that the vehicle 30 travels on the road in the traveling direction (from the right to the left in the figure). Moreover, in FIG. 1, the code | symbol 21 is an approach side detection apparatus, The code | symbol 22 is a passage side detection apparatus. The approach side detection device 21 and the passage side detection device 22 include a laser sensor, and receive a reflection signal (light reflection signal) corresponding to the irradiation signal (light irradiation signal) of the laser sensor. Thereby, the approach side detection device 21 and the passage side detection device 22 are distances from the difference between the irradiation time of the irradiation signal and the reception time of the reflected signal received corresponding to the signal and the speed of the optical signal to the measurement object. And the intensity of the reflected signal (the amount of reflected light) is detected.
図1は同実施形態による測定システムの構成を示す図である。
この図において、符号10は測定対象物の大きさを測定する測定対象物測定装置である。本実施形態においては、測定対象物測定装置10は、測定対象物の大きさとして車両30の車長を測定するものである。車両30は、道路を進行方向(図中右から左方向)に進むものとする。また図1において符号21は進入側検出装置、符号22は通過側検出装置である。進入側検出装置21と、通過側検出装置22は、レーザセンサを備え、当該レーザセンサの照射信号(光照射信号)に対応する反射信号(光反射信号)を受信する。これにより進入側検出装置21や通過側検出装置22は、照射信号の照射時刻と当該信号に対応して受信する反射信号の受信時刻の差と、光信号の速度とから測定対象物までの距離を検出し、また反射信号の強度(反射光量)を検出する。 Hereinafter, a measuring system including a measuring object measuring apparatus according to an embodiment of the present invention will be described with reference to the drawings.
FIG. 1 is a diagram showing a configuration of a measurement system according to the embodiment.
In this figure,
なお、進入側検出装置21や通過側検出装置22は、図1においては道路上を走行する車両30の上方の、当該車両30の進行方向に離れて設けられた各設置位置に点在してそれぞれ1つずつ設置されている状況を示している。進入側検出装置21と通過側検出装置22の距離D(設置間隔)は、例えば0.4m~0.6m程度であるとする。以降、進入側検出装置21の検出する地点の道路上の幅方向に平行な各地点をA地点、通過側検出装置22の検出する地点の道路上の幅方向に平行な各地点をB地点と呼ぶこととする。また図示していないが、それら進入側検出装置21や通過側検出装置22は各設置位置において、車両30の進行方向に直交する幅方向の当該車両30の上部に複数設置されていてもよい。
または、それら進入側検出装置21や通過側検出装置22は各設置位置において、車両30の進行方向に直交する幅方向のほぼ中央の当該車両30の上部に備えられ、当該進入側検出装置21や通過側検出装置22は、下鉛直方向を中心とする道路の幅方向の広角な範囲のそれぞれの角度で照射信号を照射するものであってもよい。
さらには、道路脇上方にレーザセンサを設置し、すべての車線を走行する車両に照射し得る配置としてもよい。このとき、例えば道路両脇に設置するなど、複数個所に設置することも可能である。 In addition, in FIG. 1, the approach side detection device 21 and the passageside detection device 22 are scattered at each installation position provided in the traveling direction of the vehicle 30 above the vehicle 30 traveling on the road. The situation where one each is installed is shown. The distance D (installation interval) between the approach side detection device 21 and the passage side detection device 22 is assumed to be about 0.4 m to 0.6 m, for example. Hereinafter, each point parallel to the width direction on the road of the point detected by the approach side detection device 21 is designated as A point, and each point parallel to the width direction on the road of the point detected by the passage side detection device 22 is designated as B point. I will call it. Further, although not shown, a plurality of the entry side detection devices 21 and the passage side detection devices 22 may be installed on the upper portion of the vehicle 30 in the width direction orthogonal to the traveling direction of the vehicle 30 at each installation position.
Alternatively, the entry-side detection device 21 and the passage-side detection device 22 are provided at the upper portion of the vehicle 30 approximately at the center in the width direction orthogonal to the traveling direction of the vehicle 30 at each installation position. The passing side detection device 22 may irradiate the irradiation signal at each angle in a wide range in the width direction of the road centering on the lower vertical direction.
Furthermore, it is good also as an arrangement | positioning which can irradiate the vehicle which drive | works the all lanes by installing a laser sensor above the roadside. At this time, for example, it can be installed at a plurality of locations such as on both sides of the road.
または、それら進入側検出装置21や通過側検出装置22は各設置位置において、車両30の進行方向に直交する幅方向のほぼ中央の当該車両30の上部に備えられ、当該進入側検出装置21や通過側検出装置22は、下鉛直方向を中心とする道路の幅方向の広角な範囲のそれぞれの角度で照射信号を照射するものであってもよい。
さらには、道路脇上方にレーザセンサを設置し、すべての車線を走行する車両に照射し得る配置としてもよい。このとき、例えば道路両脇に設置するなど、複数個所に設置することも可能である。 In addition, in FIG. 1, the approach side detection device 21 and the passage
Alternatively, the entry-side detection device 21 and the passage-
Furthermore, it is good also as an arrangement | positioning which can irradiate the vehicle which drive | works the all lanes by installing a laser sensor above the roadside. At this time, for example, it can be installed at a plurality of locations such as on both sides of the road.
測定対象物測定装置10は、進入側検出装置21や通過側検出装置22と通信ネットワークを介して接続されており、進入側検出装置21や通過側検出装置22からは当該装置が検出した反射信号の検出時刻、反射信号の強度(反射光量)、および、当該装置が算出した車両30の高さ情報を入力する。高さ情報としては、「進入側検出装置21の高さと測定対象物の測定部位の高さとの差」、または「測定対象物の測定部位の道路からの高さ」の何れかを示す情報である。進入側検出装置21(または通過側検出装置22)が測定対象物測定装置10へ出力する高さ情報が、「測定対象物の測定部位の道路からの高さ」を示す情報である場合には、当該高さの値を、進入側検出装置21(または通過側検出装置22)が、「進入側検出装置21(または通過側検出装置22)から道路までの鉛直方向の距離」から、「進入側検出装置21(または通過側検出装置22)から測定対象物の測定部位までの鉛直方向の距離」を減じることにより算出する。進入側検出装置21(または通過側検出装置22)が測定対象物測定装置10へ出力する高さ情報が、「進入側検出装置21(または通過側検出装置22)の高さと測定対象物の測定部位の高さとの差」である場合には、当該高さの値を、測定対象物測定装置10が、進入側検出装置21(または通過側検出装置22)の検出結果に基づいて、「進入側検出装置21(または通過側検出装置22)から測定対象物の測定部位までの鉛直方向の距離」を取得する。
The measuring object measuring device 10 is connected to the approach side detection device 21 and the passage side detection device 22 via a communication network, and the reflected signal detected by the device from the approach side detection device 21 and the passage side detection device 22. Detection time, the intensity of the reflected signal (the amount of reflected light), and the height information of the vehicle 30 calculated by the device. The height information is information indicating either “the difference between the height of the entry side detection device 21 and the height of the measurement site of the measurement object” or “the height of the measurement site of the measurement object from the road”. is there. When the height information output from the approach side detection device 21 (or the passage side detection device 22) to the measurement object measurement device 10 is information indicating "the height of the measurement part of the measurement object from the road" The approach side detection device 21 (or the passage side detection device 22) calculates the height value from the “distance in the vertical direction from the approach side detection device 21 (or the passage side detection device 22) to the road”. It is calculated by subtracting the “vertical distance from the side detection device 21 (or the passage side detection device 22) to the measurement site of the measurement object”. The height information output from the entry side detection device 21 (or the passage side detection device 22) to the measurement object measurement device 10 is “the measurement of the height of the entry side detection device 21 (or the passage side detection device 22) and the measurement object. In the case of “difference from the height of the part”, the measurement object measuring device 10 determines the value of the height based on the detection result of the entry side detection device 21 (or the passage side detection device 22). The vertical distance from the side detection device 21 (or the passage side detection device 22) to the measurement site of the measurement object ”is acquired.
そして、測定対象物測定装置10は、進入側検出装置21や、通過側検出装置22から入力した情報を用いて、測定対象物である車両30の車長を測定する。
なお、本実施形態における測定対象物測定装置10は、道路上を通行する車両30の車長を計測するものとして説明するが、その他の移動体の長さを計測するもの等に応用してもよい。 And the measuringobject measuring apparatus 10 measures the vehicle length of the vehicle 30 which is a measuring object using the information input from the approach side detection apparatus 21 or the passage side detection apparatus 22.
In addition, although the measuringobject measuring apparatus 10 in this embodiment is demonstrated as what measures the vehicle length of the vehicle 30 which passes on a road, even if it applies to what measures the length of other moving bodies, etc. Good.
なお、本実施形態における測定対象物測定装置10は、道路上を通行する車両30の車長を計測するものとして説明するが、その他の移動体の長さを計測するもの等に応用してもよい。 And the measuring
In addition, although the measuring
図2は測定対象物測定装置10の機能ブロック図である。
この図で示すように、測定対象物測定装置10は、入力部11、記憶部12、高さ対応関係判定部13、信号強度対応関係判定部14、第2速度算出部15、第1速度算出部16、長さ算出部17、検出信号抽出部18、の各処理部や記憶部を備えている。 FIG. 2 is a functional block diagram of the measuringobject measuring apparatus 10.
As shown in this figure, the measuringobject measuring apparatus 10 includes an input unit 11, a storage unit 12, a height correspondence determination unit 13, a signal strength correspondence determination unit 14, a second speed calculation unit 15, and a first speed calculation. Each processing unit and storage unit includes a unit 16, a length calculation unit 17, and a detection signal extraction unit 18.
この図で示すように、測定対象物測定装置10は、入力部11、記憶部12、高さ対応関係判定部13、信号強度対応関係判定部14、第2速度算出部15、第1速度算出部16、長さ算出部17、検出信号抽出部18、の各処理部や記憶部を備えている。 FIG. 2 is a functional block diagram of the measuring
As shown in this figure, the measuring
入力部11は、進入側検出装置21や、通過側検出装置22から、車両30の高さ情報と、反射信号の強度とをそれぞれ入力する処理部である。
また、高さ対応関係判定部13は、進入側検出装置21や通過側検出装置22それぞれが時間経過に応じて複数検出した車両30の高さ情報を、当該車両30の同一部位を示す高さ情報の対応関係ごとに分類する処理部である。
また、第2速度算出部15は、車両30の同一部位を示す高さ情報の対応関係に含まれる高さ情報それぞれを算出した進入側検出装置21や通過側検出装置22における当該高さ情報それぞれの高さ検出時刻の時刻差を、分類された高さ情報の対応関係ごとに算出し、また、当該高さ検出時刻の時刻差と、進入側検出装置21と通過側検出装置22の進行方向の設置間隔Dとに基づいて、進入側検出装置21や通過側検出装置22の何れか一方または両方における高さ検出時刻での測定対象物の速度を、分類された高さ情報の対応関係ごとに算出する処理部である。 Theinput unit 11 is a processing unit that inputs the height information of the vehicle 30 and the intensity of the reflected signal from the entry side detection device 21 and the passage side detection device 22.
Further, the heightcorrespondence determination unit 13 uses the height information of the vehicle 30 detected by the approach side detection device 21 and the passage side detection device 22 over time to indicate the same portion of the vehicle 30. It is a processing unit that classifies each information correspondence.
In addition, the secondspeed calculation unit 15 calculates the height information included in the correspondence relationship between the height information indicating the same part of the vehicle 30 and the height information in the approach side detection device 21 and the passage side detection device 22. The time difference of the height detection time is calculated for each correspondence relationship of the classified height information, the time difference of the height detection time, and the traveling direction of the entry side detection device 21 and the passage side detection device 22 Based on the installation interval D, the velocity of the measurement object at the height detection time in either one or both of the approach side detection device 21 and the passage side detection device 22 is determined for each correspondence relationship of the classified height information. It is a processing part to calculate.
また、高さ対応関係判定部13は、進入側検出装置21や通過側検出装置22それぞれが時間経過に応じて複数検出した車両30の高さ情報を、当該車両30の同一部位を示す高さ情報の対応関係ごとに分類する処理部である。
また、第2速度算出部15は、車両30の同一部位を示す高さ情報の対応関係に含まれる高さ情報それぞれを算出した進入側検出装置21や通過側検出装置22における当該高さ情報それぞれの高さ検出時刻の時刻差を、分類された高さ情報の対応関係ごとに算出し、また、当該高さ検出時刻の時刻差と、進入側検出装置21と通過側検出装置22の進行方向の設置間隔Dとに基づいて、進入側検出装置21や通過側検出装置22の何れか一方または両方における高さ検出時刻での測定対象物の速度を、分類された高さ情報の対応関係ごとに算出する処理部である。 The
Further, the height
In addition, the second
また、信号強度対応関係判定部14は、進入側検出装置21や通過側検出装置22が時間経過に応じて複数検出した光反射信号の信号強度を、車両30の同一部位を示す信号強度の対応関係ごとに分類する処理部である。
また、第1速度算出部16は、車両30の同一部位を示す信号強度の対応関係に含まれる信号強度それぞれを算出した進入側検出装置21や通過側検出装置22における当該信号強度それぞれの信号強度検出時刻の時刻差を、分類された信号強度の対応関係ごとに算出し、また、当該信号強度検出時刻の時刻差と、設置間隔Dとに基づいて、進入側検出装置21や通過側検出装置22の何れか一方または両方における信号強度検出時刻での車両30の速度を、分類された信号強度の対応関係ごとに算出する処理部である。 Further, the signal strengthcorrespondence determining unit 14 corresponds to the signal strength corresponding to the same part of the vehicle 30 with respect to the signal strengths of the light reflection signals detected by the approach side detection device 21 and the passage side detection device 22 over time. It is a processing unit that classifies each relationship.
In addition, the firstspeed calculation unit 16 calculates the signal strength of each of the signal strengths in the approach-side detection device 21 and the passage-side detection device 22 that calculate the signal strengths included in the correspondence relationship of the signal strengths indicating the same part of the vehicle 30. The time difference of the detection time is calculated for each correspondence relationship of the classified signal strength, and the approach side detection device 21 and the passage side detection device are based on the time difference of the signal strength detection time and the installation interval D. 22 is a processing unit that calculates the speed of the vehicle 30 at the signal strength detection time at any one or both of the numbers 22 for each correspondence relationship of the classified signal strengths.
また、第1速度算出部16は、車両30の同一部位を示す信号強度の対応関係に含まれる信号強度それぞれを算出した進入側検出装置21や通過側検出装置22における当該信号強度それぞれの信号強度検出時刻の時刻差を、分類された信号強度の対応関係ごとに算出し、また、当該信号強度検出時刻の時刻差と、設置間隔Dとに基づいて、進入側検出装置21や通過側検出装置22の何れか一方または両方における信号強度検出時刻での車両30の速度を、分類された信号強度の対応関係ごとに算出する処理部である。 Further, the signal strength
In addition, the first
また、長さ算出部17は、分類された高さ情報の対応関係ごとに算出された、進入側検出装置21や通過側検出装置22の何れか一方または両方における高さ検出時刻での車両30の速度や、分類された信号強度の対応関係ごとに算出された、進入側検出装置21や通過側検出装置22の何れか一方または両方における信号強度検出時刻での測定対象物の速度に基づいて、車両30の進行方向の長さを算出する処理部である。
また、検出信号抽出部18は、入力部11から入力した検出信号のうち、測定対象物測定装置10で処理に用いる検出信号を抽出する処理部である。 In addition, thelength calculation unit 17 calculates the vehicle 30 at the height detection time in either one or both of the approach side detection device 21 and the passage side detection device 22 calculated for each correspondence relationship of the classified height information. And the velocity of the measurement object at the signal intensity detection time in either one or both of the approach side detection device 21 and the passage side detection device 22 calculated for each correspondence relationship of the classified signal strength. The processing unit calculates the length of the vehicle 30 in the traveling direction.
The detectionsignal extraction unit 18 is a processing unit that extracts a detection signal used for processing in the measurement object measuring apparatus 10 from the detection signals input from the input unit 11.
また、検出信号抽出部18は、入力部11から入力した検出信号のうち、測定対象物測定装置10で処理に用いる検出信号を抽出する処理部である。 In addition, the
The detection
図3は入力部11の入力するデータ例を示す図である。
入力部11は、所定の時刻間隔で、車両30の高さを示す高さ情報、反射信号の強度である反射光量、それらの検出時刻の情報を、進入側検出装置21や通過側検出装置22から入力する。所定の時刻間隔は、例えば10msecであり、図3においては10msec間隔の各時刻t1,t2,t3,t4,t5,・・・それぞれの時刻において入力した各情報を記憶した場合のデータテーブルを示している。図3は、道路上の1点について進入側検出装置21が検出した高さ情報,反射光量,検出時刻の情報を示している。入力部11は、図3で示すような各情報を、車両30の進行方向に直交する道路の幅方向の複数点について入力する。当該幅方向の間隔は例えば10cmである。また入力部11は、通過側検出装置22からも、道路上の幅方向の複数点について、所定の時刻間隔で、高さ情報、反射光量、検出時刻の情報を入力する。 FIG. 3 is a diagram illustrating an example of data input by theinput unit 11.
Theinput unit 11 receives the height information indicating the height of the vehicle 30, the amount of reflected light that is the intensity of the reflected signal, and the information on the detection times thereof at predetermined time intervals, and the approach side detection device 21 and the passage side detection device 22. Enter from. The predetermined time interval is, for example, 10 msec, and FIG. 3 shows a data table in the case where each information input at each time t1, t2, t3, t4, t5,. ing. FIG. 3 shows the height information, reflected light amount, and detection time information detected by the approach side detection device 21 for one point on the road. The input unit 11 inputs each piece of information as shown in FIG. 3 for a plurality of points in the width direction of the road perpendicular to the traveling direction of the vehicle 30. The interval in the width direction is, for example, 10 cm. The input unit 11 also inputs height information, reflected light amount, and detection time information from the passage side detection device 22 at a predetermined time interval for a plurality of points in the width direction on the road.
入力部11は、所定の時刻間隔で、車両30の高さを示す高さ情報、反射信号の強度である反射光量、それらの検出時刻の情報を、進入側検出装置21や通過側検出装置22から入力する。所定の時刻間隔は、例えば10msecであり、図3においては10msec間隔の各時刻t1,t2,t3,t4,t5,・・・それぞれの時刻において入力した各情報を記憶した場合のデータテーブルを示している。図3は、道路上の1点について進入側検出装置21が検出した高さ情報,反射光量,検出時刻の情報を示している。入力部11は、図3で示すような各情報を、車両30の進行方向に直交する道路の幅方向の複数点について入力する。当該幅方向の間隔は例えば10cmである。また入力部11は、通過側検出装置22からも、道路上の幅方向の複数点について、所定の時刻間隔で、高さ情報、反射光量、検出時刻の情報を入力する。 FIG. 3 is a diagram illustrating an example of data input by the
The
図4は処理に用いる検出信号の抽出処理の概要を示す図である。
測定対象物測定装置10は、進入側検出装置21と、通過側検出装置22のそれぞれより、時間の経過に伴って順次、検出信号を入力する。検出信号には、高さ情報、反射光量、特徴検出時刻(高さ情報、または反射光量の何れかの特徴を検出した時刻)、検出装置の識別情報などを含んでいる。高さ情報は車両30の高さであり、また反射光量は車両30に照射した光の反射光量(信号強度)である。ここで、検出信号に基づいて車両30の速度や車長を精度良く算出するためには、進入側検出装置21より入力した検出信号と、通過側検出装置22より入力した検出信号のそれぞれの中から、車両30についての同一の特徴(高さや反射光量)を示す検出信号の対を特定する必要がある。 FIG. 4 is a diagram showing an outline of detection signal extraction processing used for processing.
The measuringobject measuring device 10 inputs detection signals sequentially from the approach side detection device 21 and the passage side detection device 22 as time passes. The detection signal includes height information, reflected light amount, feature detection time (height information or time when any feature of the reflected light amount is detected), identification information of the detection device, and the like. The height information is the height of the vehicle 30, and the reflected light amount is a reflected light amount (signal intensity) of light irradiated on the vehicle 30. Here, in order to accurately calculate the speed and the vehicle length of the vehicle 30 based on the detection signal, each of the detection signal input from the approach side detection device 21 and the detection signal input from the passage side detection device 22 is included. Therefore, it is necessary to specify a pair of detection signals indicating the same characteristics (height and reflected light amount) of the vehicle 30.
測定対象物測定装置10は、進入側検出装置21と、通過側検出装置22のそれぞれより、時間の経過に伴って順次、検出信号を入力する。検出信号には、高さ情報、反射光量、特徴検出時刻(高さ情報、または反射光量の何れかの特徴を検出した時刻)、検出装置の識別情報などを含んでいる。高さ情報は車両30の高さであり、また反射光量は車両30に照射した光の反射光量(信号強度)である。ここで、検出信号に基づいて車両30の速度や車長を精度良く算出するためには、進入側検出装置21より入力した検出信号と、通過側検出装置22より入力した検出信号のそれぞれの中から、車両30についての同一の特徴(高さや反射光量)を示す検出信号の対を特定する必要がある。 FIG. 4 is a diagram showing an outline of detection signal extraction processing used for processing.
The measuring
しかしながら、例えば、車両30の走行速度が極端に遅く(渋滞等で停止している場合も含む)、進入側検出装置21または通過側検出装置22が風等の影響で揺れている場合には、進入側検出装置21または通過側検出装置22は、車両30の同一の特徴についての検出信号を複数回、測定対象物測定装置10へ送信してしまう可能性がある。このような場合、測定対象物測定装置10は、進入側検出装置21から入力した検出信号と、通過側検出装置22から入力した検出信号との対を、入力した時間順に対応付けただけでは、車両30の同一の特徴についての検出信号の対を得ることはできない。従って、測定対象物測定装置10は、図4で示すような抽出処理に基づいて、進入側検出装置21から入力した検出信号と、通過側検出装置22から入力した検出信号のうちの同一の特徴を示す検出信号の対を判定する。
However, for example, when the traveling speed of the vehicle 30 is extremely slow (including when the vehicle 30 is stopped due to traffic jams) and the approach side detection device 21 or the passage side detection device 22 is shaken by the influence of wind or the like, The approach side detection device 21 or the passage side detection device 22 may transmit a detection signal for the same feature of the vehicle 30 to the measurement object measurement device 10 a plurality of times. In such a case, the measurement object measuring apparatus 10 simply associates a pair of the detection signal input from the entry side detection apparatus 21 and the detection signal input from the passage side detection apparatus 22 in the order of input time. A pair of detection signals for the same feature of the vehicle 30 cannot be obtained. Therefore, the measuring object measuring apparatus 10 is based on the extraction process as shown in FIG. 4, and has the same characteristics of the detection signal input from the approach side detection apparatus 21 and the detection signal input from the passage side detection apparatus 22. A pair of detection signals indicating is determined.
当該検出信号の抽出処理を、より具体的に図4を用いて説明する。
まず図4において横軸は、進入側検出装置21より入力した検出信号に含まれる特徴検出時刻tEを示している。また図4において縦軸は、通過側検出装置22より入力した検出信号に含まれる特徴検出時刻tPを示している。そして、図4では、進入側検出装置21から入力したE1~E4の4つの検出信号に、それぞれ、特徴検出時刻tE1,tE2,tE3,tE4が含まれている場合を示している。また図4では、通過側検出装置22から入力したP1~P8の8つの検出信号に、それぞれ、特徴検出時刻tP1,tP2,tP3,tP4,tP5,tP6,tP7,tP8が含まれている場合を示している。 The detection signal extraction process will be described more specifically with reference to FIG.
First, in FIG. 4, the horizontal axis indicates the feature detection time t E included in the detection signal input from the approach side detection device 21. In FIG. 4, the vertical axis indicates the feature detection time t P included in the detection signal input from the passageside detection device 22. FIG. 4 shows a case where the four detection signals E1 to E4 input from the approach side detection device 21 include feature detection times tE1 , tE2 , tE3 , and tE4 , respectively. . In FIG. 4, the eight detection signals P1 ~ P8 input from passing side detector 22, respectively, wherein the detection time t P1, t P2, t P3 , t P4, t P5, t P6, t P7, t The case where P8 is included is shown.
まず図4において横軸は、進入側検出装置21より入力した検出信号に含まれる特徴検出時刻tEを示している。また図4において縦軸は、通過側検出装置22より入力した検出信号に含まれる特徴検出時刻tPを示している。そして、図4では、進入側検出装置21から入力したE1~E4の4つの検出信号に、それぞれ、特徴検出時刻tE1,tE2,tE3,tE4が含まれている場合を示している。また図4では、通過側検出装置22から入力したP1~P8の8つの検出信号に、それぞれ、特徴検出時刻tP1,tP2,tP3,tP4,tP5,tP6,tP7,tP8が含まれている場合を示している。 The detection signal extraction process will be described more specifically with reference to FIG.
First, in FIG. 4, the horizontal axis indicates the feature detection time t E included in the detection signal input from the approach side detection device 21. In FIG. 4, the vertical axis indicates the feature detection time t P included in the detection signal input from the passage
ここで、検出信号E1は、進入側検出装置21において1台の車両30の特徴を最初に検出した検出信号である。また検出信号P1は、通過側検出装置22において1台の車両30の特徴を最初に検出した検出信号である。路面高さを示す高さ情報を含む検出信号を入力している状態から、路面高さよりも高い高さ情報を含む検出信号を入力した場合には、測定対象物である車両30を計測したと判定することができる。従って検出信号抽出部18は、進入側検出装置21と通過側検出装置22のそれぞれにおいて車両30の特徴を最初に検出した検出信号を、当該検出信号に含まれる高さ情報から判定することができる。
Here, the detection signal E1 is a detection signal that first detects the characteristics of one vehicle 30 in the approach side detection device 21. The detection signal P <b> 1 is a detection signal obtained by first detecting the characteristics of one vehicle 30 in the passage side detection device 22. When a detection signal including height information higher than the road surface height is input from a state in which a detection signal including height information indicating the road surface height is input, the vehicle 30 as a measurement object is measured. Can be determined. Therefore, the detection signal extraction unit 18 can determine, from the height information included in the detection signal, the detection signal that first detects the feature of the vehicle 30 in each of the approach side detection device 21 and the passage side detection device 22. .
また、検出信号E4は、進入側検出装置21において1台の車両30の特徴を最後に検出した検出信号である。また検出信号P8は、通過側検出装置22において1台の車両30の特徴を最後に検出した検出信号である。路面高さよりも高い高さ情報を継続している状態から、路面高さを示す高さ情報を含む検出信号を入力した場合には、測定対象物である車両30が通過したと判定することができる。従って、検出信号抽出部18は、進入側検出装置21と通過側検出装置22のそれぞれにおいて車両30の特徴を最後に検出した検出信号を、当該検出信号に含まれる高さ情報から判定することができる。
Further, the detection signal E4 is a detection signal that lastly detects the characteristics of one vehicle 30 in the approach side detection device 21. Further, the detection signal P8 is a detection signal in which the characteristic of one vehicle 30 is detected last in the passage side detection device 22. When a detection signal including height information indicating the road surface height is input from a state in which the height information higher than the road surface height is continued, it may be determined that the vehicle 30 as the measurement object has passed. it can. Therefore, the detection signal extraction unit 18 can determine, from the height information included in the detection signal, the detection signal that lastly detected the feature of the vehicle 30 in each of the approach side detection device 21 and the passage side detection device 22. it can.
なお、路面高さは車両30を示す特徴ではないが、車両30の高さを継続して検出した後に最初に路面を検出した時刻は、車両30の高さ情報が「0」になった時刻、つまり通過した時刻と判定することができる。本実施形態においては、車両30の高さを継続して検出した後に最初に路面を検出した時刻を、便宜上、車両30の特徴である高さ情報が「0」となったことを検出した時刻(車両の特徴を最後の検出した時刻)と判定している。
Although the road surface height is not a feature indicating the vehicle 30, the time when the road surface is first detected after continuously detecting the height of the vehicle 30 is the time when the height information of the vehicle 30 becomes “0”. That is, it can be determined that the time has passed. In the present embodiment, the time when the road surface is first detected after continuously detecting the height of the vehicle 30 is the time when the height information that is a feature of the vehicle 30 is “0” for convenience. It is determined that (the time when the feature of the vehicle was last detected).
そして、測定対象物測定装置10の検出信号抽出部18は、入力した各検出信号の中から、進入側検出装置21において車両30の特徴を最初に検出した検出信号E1と、車両30の特徴を最後に検出した検出信号E4とを判定すると、進入側検出装置21より入力した検出信号の中から、それら2つの検出信号E1,E4に含まれる特徴検出時刻の間の特徴検出時刻を含む、他の検出信号を抽出する。この処理により、検出信号抽出部18は特徴検出時刻tE2を含む検出信号E2と、特徴検出時刻tE3を含む検出信号E3を抽出する。
And the detection signal extraction part 18 of the measuring object measuring device 10 detects the characteristic of the vehicle 30 and the detection signal E1 which first detected the characteristic of the vehicle 30 in the approach side detection device 21 from each input detection signal. When the last detected detection signal E4 is determined, among the detection signals input from the approach side detection device 21, the feature detection time between the feature detection times included in the two detection signals E1 and E4 is included. The detection signal is extracted. By this processing, the detection signal extracting unit 18 and the detection signal E2 that includes a feature detection time t E2, and extracts a detection signal E3 including feature detection time t E3.
また検出信号抽出部18は、入力した各検出信号の中から、通過側検出装置22において車両30の特徴を最初に検出した検出信号P1と、車両30の特徴を最後に検出した検出信号P8とを判定すると、通過側検出装置22より入力した検出信号の中から、それら2つの検出信号P1,P8に含まれる特徴検出時刻の間の特徴検出時刻を含む、他の検出信号を抽出する。この処理により、検出信号抽出部18は特徴検出時刻tP2を含む検出信号P2、特徴検出時刻tP3を含む検出信号P3、特徴検出時刻tP4を含む検出信号P4、特徴検出時刻tP5を含む検出信号P5、特徴検出時刻tP6を含む検出信号P6、特徴検出時刻tP7を含む検出信号P7、を抽出する。
Further, the detection signal extraction unit 18 detects, from among the input detection signals, the detection signal P1 that first detects the feature of the vehicle 30 in the passage side detection device 22, and the detection signal P8 that lastly detects the feature of the vehicle 30. Is detected, other detection signals including the feature detection time between the feature detection times included in the two detection signals P1 and P8 are extracted from the detection signals input from the passage side detection device 22. By this processing, the detection signal extracting unit 18 includes a detection signal P2, the detection signal P3 including the feature detection time t P3, detected signal P4 including feature detection time t P4, wherein detection time t P5 including the feature detection time t P2 detection signal P5, the detection signal P6 including the feature detection time t P6, the detection signal P7 including the feature detection time t P7, to extract.
そして検出信号抽出部18は、進入側検出装置21より入力した検出信号の中から抽出した検出信号E2,E3と、通過側検出装置22より入力した検出信号の中から抽出した検出信号P2,P3,P4,P5,P6,P7とを用いて、同一の車両30の特徴を示す対応する検出信号の対を抽出する。
The detection signal extraction unit 18 detects detection signals E2 and E3 extracted from the detection signals input from the approach side detection device 21 and detection signals P2 and P3 extracted from the detection signals input from the passage side detection device 22. , P4, P5, P6, and P7, a pair of corresponding detection signals indicating the characteristics of the same vehicle 30 is extracted.
図5は検出信号抽出部の機能構成を示すブロック図である。
この図が示すように検出信号抽出部18は、特徴検出情報生成部181、関数導出部182、基準検出装置特定部183、仮定時刻算出部184、特徴検出情報候補特定部185、特徴検出情報特定部186、検出信号対応関係判定部187、対応関係判定停止部188、処理結果出力部189を含んで構成される。
ここで、特徴検出情報生成部181は、進入側検出装置21および通過側検出装置22より検出信号を入力する毎に、車両30の特徴の増加または減少の値を示す特徴増減情報と、当該検出信号に含まれる特徴検出時刻とを含む特徴検出情報を、入力した検出信号に基づいて生成する処理部である。 FIG. 5 is a block diagram showing a functional configuration of the detection signal extraction unit.
As shown in this figure, the detectionsignal extraction unit 18 includes a feature detection information generation unit 181, a function derivation unit 182, a reference detection device specification unit 183, an assumed time calculation unit 184, a feature detection information candidate specification unit 185, and feature detection information specification. Unit 186, detection signal correspondence determination unit 187, correspondence determination stop unit 188, and processing result output unit 189.
Here, each time the detection signal is input from the approach side detection device 21 and the passageside detection device 22, the feature detection information generation unit 181 includes feature increase / decrease information indicating a value of increase or decrease of the feature of the vehicle 30, and the detection It is a processing unit that generates feature detection information including a feature detection time included in a signal based on an input detection signal.
この図が示すように検出信号抽出部18は、特徴検出情報生成部181、関数導出部182、基準検出装置特定部183、仮定時刻算出部184、特徴検出情報候補特定部185、特徴検出情報特定部186、検出信号対応関係判定部187、対応関係判定停止部188、処理結果出力部189を含んで構成される。
ここで、特徴検出情報生成部181は、進入側検出装置21および通過側検出装置22より検出信号を入力する毎に、車両30の特徴の増加または減少の値を示す特徴増減情報と、当該検出信号に含まれる特徴検出時刻とを含む特徴検出情報を、入力した検出信号に基づいて生成する処理部である。 FIG. 5 is a block diagram showing a functional configuration of the detection signal extraction unit.
As shown in this figure, the detection
Here, each time the detection signal is input from the approach side detection device 21 and the passage
また、関数導出部182は、進入側検出装置21で車両30についての検出信号を最初に検出した後の時間軸で進入側検出装置21が車両30を検出した際の特徴検出時刻と、当該時間軸で通過側検出装置22が車両30を検出した際の特徴検出時刻との関係を表す二次元の座標系において、進入側検出装置21と通過側検出装置22の2つの検出装置それぞれにおける最初の特徴検出時刻を成分とする点と、該2つの検出装置における車両30に対する最後の特徴検出時刻を成分とする点とを通る関数を導く処理部である。また当該関数は、進入側検出装置21と通過側検出装置22の間を走行した車両30の平均加速度による、各進入側検出装置21と通過側検出装置22での車両30の各特徴の通過時刻を示している。
The function deriving unit 182 also detects the feature detection time when the approach side detection device 21 detects the vehicle 30 on the time axis after the detection signal for the vehicle 30 is first detected by the approach side detection device 21 and the time. In the two-dimensional coordinate system representing the relationship with the feature detection time when the passage side detection device 22 detects the vehicle 30 on the axis, the first detection device in each of the two detection devices of the approach side detection device 21 and the passage side detection device 22 This is a processing unit that derives a function that passes through a point having the feature detection time as a component and a point having the last feature detection time for the vehicle 30 in the two detection devices as a component. Further, the function is a passing time of each feature of the vehicle 30 in each of the approaching side detection device 21 and the passing side detection device 22 based on an average acceleration of the vehicle 30 that has traveled between the approaching side detection device 21 and the passing side detection device 22 Is shown.
また、基準検出装置特定部183は、進入側検出装置21において車両30の最初の特徴検出時刻から最後の特徴検出時刻までの間に当該車両30を検出した回数と、通過側検出装置22において車両30の最初の特徴検出時刻から最後の特徴検出時刻までの間に当該車両30を検出した回数とを比較する処理部である。また基準検出装置特定部183は、進入側検出装置21と通過側検出装置22のうち、車両30を検出した回数が少ない検出装置を、一方の検出装置と特定する処理部である。
The reference detection device specifying unit 183 also detects the number of times the vehicle 30 is detected between the first feature detection time and the last feature detection time of the vehicle 30 in the approach-side detection device 21, and the vehicle in the passage-side detection device 22. The processing unit compares the number of times the vehicle 30 is detected between the first feature detection time of 30 and the last feature detection time. In addition, the reference detection device specifying unit 183 is a processing unit that specifies a detection device with a small number of times of detecting the vehicle 30 among the entry side detection device 21 and the passage side detection device 22 as one detection device.
また、仮定時刻算出部184は、特定された一方の検出装置より入力した検出信号に含まれる特徴検出時刻を一方の成分として関数に代入して他方の成分を算出する。このような処理により仮定時刻算出部184は、車両30が進入側検出装置21と通過側検出装置22の間を、関数によって示される加速度で走行したと仮定した場合に、一方の検出装置から入力した検出信号に基づいて生成された特徴検出情報の示す特徴と同一の特徴が、他方の検出装置で検出される可能性のある仮定時刻を算出する処理部である。
また、特徴検出情報候補特定部185は、一方の検出装置からの一つの検出信号に基づいて生成された特徴検出情報を特定し、当該特徴検出情報から特徴増減情報を読み取って、他方の検出装置からの検出信号に基づいて生成された特徴検出情報のうち、読み取った特徴増減情報の示す増加または減少の何れかの値と同じ値を示す特徴増減情報を含む特徴検出情報を特定する処理部である。 Further, the assumed time calculation unit 184 calculates the other component by substituting the feature detection time included in the detection signal input from the identified one detection device into the function as one component. By such processing, the assumed time calculation unit 184 inputs from one of the detection devices when it is assumed that thevehicle 30 travels between the approach side detection device 21 and the passage side detection device 22 at an acceleration indicated by a function. This is a processing unit that calculates an assumed time at which the same feature as the feature indicated by the feature detection information generated based on the detected signal may be detected by the other detection device.
Further, the feature detection information candidate specifying unit 185 specifies feature detection information generated based on one detection signal from one detection device, reads feature increase / decrease information from the feature detection information, and detects the other detection device. A processing unit that identifies feature detection information including feature increase / decrease information that indicates the same value as either the increase or decrease indicated by the read feature increase / decrease information among the feature detection information generated based on the detection signal from is there.
また、特徴検出情報候補特定部185は、一方の検出装置からの一つの検出信号に基づいて生成された特徴検出情報を特定し、当該特徴検出情報から特徴増減情報を読み取って、他方の検出装置からの検出信号に基づいて生成された特徴検出情報のうち、読み取った特徴増減情報の示す増加または減少の何れかの値と同じ値を示す特徴増減情報を含む特徴検出情報を特定する処理部である。 Further, the assumed time calculation unit 184 calculates the other component by substituting the feature detection time included in the detection signal input from the identified one detection device into the function as one component. By such processing, the assumed time calculation unit 184 inputs from one of the detection devices when it is assumed that the
Further, the feature detection information candidate specifying unit 185 specifies feature detection information generated based on one detection signal from one detection device, reads feature increase / decrease information from the feature detection information, and detects the other detection device. A processing unit that identifies feature detection information including feature increase / decrease information that indicates the same value as either the increase or decrease indicated by the read feature increase / decrease information among the feature detection information generated based on the detection signal from is there.
また、特徴検出情報特定部186は、特定した特徴検出情報のうち、一方の検出装置より入力した一つの検出信号に含まれる特徴検出時刻を一方の成分として関数に代入して他方の成分を算出して得た仮定時刻と、最も時刻の近い特徴検出時刻を含む特徴検出情報を特定する処理部である。
また、検出信号対応関係判定部187は、一方の検出装置より入力した一つの検出信号と、特徴検出情報特定部186が特定した特徴検出情報の生成に用いた他方の検出装置より入力した検出信号とを、車両30の特徴点を検出した際の対応する検出信号と判定する処理部である。 Also, the feature detection information specifying unit 186 calculates the other component by substituting the feature detection time included in one detection signal input from one detection device into the function as one component of the specified feature detection information. This is a processing unit that identifies feature detection information including the assumed time obtained and the feature detection time closest to the time.
Further, the detection signal correspondence determining unit 187 has one detection signal input from one detection device and a detection signal input from the other detection device used for generating the feature detection information specified by the feature detection information specifying unit 186. Is a processing unit that determines a corresponding detection signal when a feature point of thevehicle 30 is detected.
また、検出信号対応関係判定部187は、一方の検出装置より入力した一つの検出信号と、特徴検出情報特定部186が特定した特徴検出情報の生成に用いた他方の検出装置より入力した検出信号とを、車両30の特徴点を検出した際の対応する検出信号と判定する処理部である。 Also, the feature detection information specifying unit 186 calculates the other component by substituting the feature detection time included in one detection signal input from one detection device into the function as one component of the specified feature detection information. This is a processing unit that identifies feature detection information including the assumed time obtained and the feature detection time closest to the time.
Further, the detection signal correspondence determining unit 187 has one detection signal input from one detection device and a detection signal input from the other detection device used for generating the feature detection information specified by the feature detection information specifying unit 186. Is a processing unit that determines a corresponding detection signal when a feature point of the
また、対応関係判定停止部188は、進入側検出装置21より車両30について最初に入力した検出信号に含まれる特徴検出時刻と通過側検出装置22より車両30について最初に入力した検出信号に含まれる特徴検出時刻の前後関係と、進入側検出装置21より車両30について最後に入力した検出信号に含まれる特徴検出時刻と通過側検出装置22より車両30について最後に入力した検出信号に含まれる特徴検出時刻の前後関係とを比較する処理部である。そして対応関係判定停止部188は、それら前後関係が異なる場合には、進入側検出装置21と通過側検出装置22とから入力する検出信号の対応関係の判定を停止すると決定する処理部である。
また、処理結果出力部189は、検出信号抽出部18の処理結果を出力する処理部である。 Further, the correspondence determination stop unit 188 is included in the feature detection time included in the detection signal first input about thevehicle 30 from the approach side detection device 21 and the detection signal input first regarding the vehicle 30 from the passage side detection device 22. The feature detection time and the feature detection time included in the detection signal last input for the vehicle 30 from the approach side detection device 21 and the feature detection included in the detection signal last input for the vehicle 30 from the passage side detection device 22 It is a processing unit that compares the time context. Then, the correspondence determination stop unit 188 is a processing unit that determines to stop the determination of the correspondence relationship of the detection signals input from the approach side detection device 21 and the passage side detection device 22 when the front-rear relationships are different.
The processing result output unit 189 is a processing unit that outputs the processing result of the detectionsignal extraction unit 18.
また、処理結果出力部189は、検出信号抽出部18の処理結果を出力する処理部である。 Further, the correspondence determination stop unit 188 is included in the feature detection time included in the detection signal first input about the
The processing result output unit 189 is a processing unit that outputs the processing result of the detection
そして、このような各処理部の機能を備えた検出信号抽出部18の処理により、進入側検出装置21と通過側検出装置22それぞれより入力した検出信号の中から、車両30の同一の特徴を示す対応する、進入側検出装置21と通過側検出装置22とにおける検出信号の対を抽出する。
And the process of the detection signal extraction part 18 provided with the function of each of such processing parts causes the same characteristics of the vehicle 30 from the detection signals input from the approach side detection device 21 and the passage side detection device 22 respectively. Corresponding detection signal pairs in the entry side detection device 21 and the passage side detection device 22 are extracted.
図6は検出信号抽出部の処理フローを示す図である。
次に、図6を用いて検出信号抽出部の処理フローについて順を追って説明する。
まず、測定対象物測定装置10の入力部11が、進入側検出装置21や通過側検出装置22から通信ネットワークを介して受信した検出信号を入力する。当該検出信号には、反射光量などの車両30へ照射した光照射信号に対応する光反射信号の信号強度(車両30の第1の特徴)と、光照射信号の照射時刻と光反射信号の受信時刻との送受信間隔を用いて検出された測定対象物の高さ情報(車両30の第2の特徴)とが含まれている。また、当該検出信号には、それらの特徴検出時刻と、信号強度(反射光量)や高さ情報を検出した進入側検出装置21または通過側検出装置22を示す検出装置の識別番号が含まれている。そして入力部11は、入力した検出信号を、検出信号抽出部18へ出力する。 FIG. 6 is a diagram illustrating a processing flow of the detection signal extraction unit.
Next, the processing flow of the detection signal extraction unit will be described in order with reference to FIG.
First, theinput unit 11 of the measurement object measuring apparatus 10 inputs a detection signal received from the entry side detection device 21 or the passage side detection device 22 via the communication network. The detection signal includes the signal intensity of the light reflection signal corresponding to the light irradiation signal irradiated to the vehicle 30 such as the amount of reflected light (first characteristic of the vehicle 30), the irradiation time of the light irradiation signal, and reception of the light reflection signal. The height information of the measurement object detected using the transmission / reception interval with the time (second feature of the vehicle 30) is included. In addition, the detection signal includes the feature detection time and the identification number of the detection device indicating the entry side detection device 21 or the passage side detection device 22 that has detected the signal intensity (amount of reflected light) or height information. Yes. Then, the input unit 11 outputs the input detection signal to the detection signal extraction unit 18.
次に、図6を用いて検出信号抽出部の処理フローについて順を追って説明する。
まず、測定対象物測定装置10の入力部11が、進入側検出装置21や通過側検出装置22から通信ネットワークを介して受信した検出信号を入力する。当該検出信号には、反射光量などの車両30へ照射した光照射信号に対応する光反射信号の信号強度(車両30の第1の特徴)と、光照射信号の照射時刻と光反射信号の受信時刻との送受信間隔を用いて検出された測定対象物の高さ情報(車両30の第2の特徴)とが含まれている。また、当該検出信号には、それらの特徴検出時刻と、信号強度(反射光量)や高さ情報を検出した進入側検出装置21または通過側検出装置22を示す検出装置の識別番号が含まれている。そして入力部11は、入力した検出信号を、検出信号抽出部18へ出力する。 FIG. 6 is a diagram illustrating a processing flow of the detection signal extraction unit.
Next, the processing flow of the detection signal extraction unit will be described in order with reference to FIG.
First, the
次に検出信号抽出部18の特徴検出情報生成部181は、入力部11より、進入側検出装置21または通過側検出装置22より入力した検出信号を受け付ける(ステップS601)。そして特徴検出情報生成部181は、同一の検出装置の識別番号を含む検出信号について、今回入力した検出信号に含まれる光反射信号の信号強度(反射光量)と高さ情報と、前回入力した検出信号に含まれる光反射信号の信号強度(反射光量)と高さ情報とを、それぞれ比較する。
Next, the feature detection information generation unit 181 of the detection signal extraction unit 18 receives the detection signal input from the entry side detection device 21 or the passage side detection device 22 from the input unit 11 (step S601). The feature detection information generation unit 181 then detects the signal intensity (reflected light amount) and height information of the light reflection signal included in the detection signal input this time, and the detection input last time for the detection signal including the identification number of the same detection device. The signal intensity (the amount of reflected light) of the light reflection signal included in the signal is compared with the height information.
そして、特徴検出情報生成部181は、前回入力した検出信号に含まれる光反射信号の信号強度(反射光量)よりも、今回入力した検出信号に含まれる光反射信号の信号強度(反射光量)が閾値以上変化した場合には、その信号強度(反射光量)の増加または減少の値を示す特徴増減情報を生成する。また特徴検出情報生成部181は、前回入力した検出信号に含まれる高さ情報よりも、今回入力した検出信号に含まれる高さ情報が閾値以上変化した場合には、その高さ情報の増加または減少の値を示す特徴増減情報を生成する。以下、信号強度の特徴増減情報を信号強度増減情報、高さ情報の特徴増減情報を高さ増減情報と呼ぶこととする。
Then, the feature detection information generation unit 181 has a signal intensity (amount of reflected light) of the light reflection signal included in the detection signal input this time, rather than a signal intensity (amount of reflected light) of the light reflection signal included in the detection signal input last time. When the threshold value changes more than the threshold value, feature increase / decrease information indicating an increase or decrease value of the signal intensity (amount of reflected light) is generated. In addition, when the height information included in the detection signal input this time changes more than a threshold value compared to the height information included in the detection signal input last time, the feature detection information generation unit 181 increases the height information or Feature increase / decrease information indicating a decrease value is generated. Hereinafter, the signal intensity feature increase / decrease information is referred to as signal intensity increase / decrease information, and the height information feature increase / decrease information is referred to as height increase / decrease information.
そして、特徴検出情報生成部181は、信号強度増減情報と、高さ増減情報と、受け付けた検出信号に含まれていた検出時刻と、検出装置の識別番号と、を含む特徴検出情報を生成する(ステップS602)。特徴検出情報生成部181は、検出信号を入力するたびに、この特徴検出情報を生成する。そして特徴検出情報生成部181は、生成した特徴検出情報を、順次、関数導出部182へ出力する。
Then, the feature detection information generation unit 181 generates feature detection information including the signal intensity increase / decrease information, the height increase / decrease information, the detection time included in the received detection signal, and the identification number of the detection device. (Step S602). The feature detection information generation unit 181 generates this feature detection information every time a detection signal is input. Then, the feature detection information generation unit 181 sequentially outputs the generated feature detection information to the function derivation unit 182.
次に関数導出部182は、入力した特徴検出情報の中から、進入側検出装置21において車両30を最初に検出したことを示す特徴検出情報を特定する。当該特定の処理において関数導出部182は、まず進入側検出装置21の識別番号と、通過側検出装置22の識別番号とに基づいて、進入側検出装置21の検出信号により生成された特徴検出情報と、通過側検出装置22の検出信号により生成された特徴検出情報とに分類する。そして関数導出部182は、進入側検出装置21の検出信号により生成された特徴検出情報に含まれる高さ情報を順次比較して、路面高さを示す高さ情報を示す特徴検出情報の入力の後に、路面高さから閾値以上高い高さ情報を示す特徴検出情報を所定数以上、連続して入力したかを判定する。そして、路面の高さから閾値以上高い高さ情報を示す特徴検出情報を所定数以上、連続して入力した場合には、それら路面の高さから閾値以上高い高さ情報を示す特徴検出情報のうちの最も早い検出時刻を含む特徴検出情報を、進入側検出装置21において車両30を最初に検出したことを示す特徴検出情報として特定する。
Next, the function deriving unit 182 identifies feature detection information indicating that the vehicle 30 is first detected by the approach side detection device 21 from the input feature detection information. In the specific processing, the function deriving unit 182 first generates the feature detection information generated from the detection signal of the entry side detection device 21 based on the identification number of the entry side detection device 21 and the identification number of the passage side detection device 22. And feature detection information generated by the detection signal of the passage side detection device 22. Then, the function deriving unit 182 sequentially compares the height information included in the feature detection information generated by the detection signal of the approach side detection device 21, and inputs the feature detection information indicating the height information indicating the road surface height. Thereafter, it is determined whether a predetermined number or more of feature detection information indicating height information higher than the threshold value from the road surface height is continuously input. When the feature detection information indicating the height information higher than the threshold from the road surface is continuously input a predetermined number or more, the feature detection information indicating the height information higher than the threshold from the road height The feature detection information including the earliest detection time is identified as feature detection information indicating that the vehicle 30 is first detected by the approach side detection device 21.
次に関数導出部182は、進入側検出装置21において車両30を最初に検出したことを示す特徴検出情報の次に、当該進入側検出装置21から入力した特徴検出情報から順に、前回入力した特徴検出情報に含まれる高さ情報と、今回入力した特徴検出情報に含まれる高さ情報とを比較する。そして、前回入力した特徴検出情報に含まれる高さ情報と、今回入力した特徴検出情報に含まれる高さ情報との差が、閾値以上である場合に、今回入力した特徴検出情報を、進入側検出装置21において検出した車両30の特徴点(高さ情報が変化した点)を示す特徴検出情報と判定する。そして、関数導出部182は、当該進入側検出装置21において検出した車両30の特徴点を示す特徴検出情報を順次特定する。
Next, the function deriving unit 182 sequentially inputs the previous feature sequentially from the feature detection information input from the approach side detection device 21 next to the feature detection information indicating that the vehicle 30 is first detected by the approach side detection device 21. The height information included in the detection information is compared with the height information included in the feature detection information input this time. If the difference between the height information included in the feature detection information input last time and the height information included in the feature detection information input this time is equal to or greater than a threshold value, the feature detection information input this time is It is determined as feature detection information indicating a feature point (a point at which height information has changed) of the vehicle 30 detected by the detection device 21. Then, the function deriving unit 182 sequentially specifies feature detection information indicating the feature points of the vehicle 30 detected by the approach side detection device 21.
なお本実施形態においては、車両30の特徴点を示す特徴検出情報の特定の方法は、前回入力した特徴検出情報に含まれる高さ情報と、今回入力した特徴検出情報に含まれる高さ情報との差が閾値以上である場合に、今回入力した特徴検出情報を車両30の特徴点を示す特徴検出情報と判定している。しかしながら、これに限らず、他の方法によって、車両30の特徴点を示す特徴検出情報を特定するようにしてもよい。
In the present embodiment, the method for specifying the feature detection information indicating the feature points of the vehicle 30 is the height information included in the feature detection information input last time, and the height information included in the feature detection information input this time. When the difference is equal to or greater than the threshold, the feature detection information input this time is determined as feature detection information indicating the feature point of the vehicle 30. However, the present invention is not limited to this, and feature detection information indicating the feature points of the vehicle 30 may be specified by other methods.
また関数導出部182は、車両30を最初に検出したことを示す特徴検出情報を特定した後は、その後に入力した特徴検出情報が、車両30を最後に検出したことを示す特徴検出情報であるかを判定する。この処理においては、入力した特徴検出情報に含まれる高さ情報が、予め記憶する路面の高さ情報と一致するかどうかを判定する。そして、誤差を考慮しても一致すると判定できる場合には、関数導出部182は、その特徴検出情報を、車両30を最後に検出したことを示す特徴検出情報であると判定する。なお路面の高さ情報と一致すると判定できる特徴検出情報を複数入力した場合には、そのうち最も早い特徴検出時刻を含む特徴検出情報を、車両30を最後に検出したことを示す特徴検出情報であると判定する。そして、関数導出部182は、車両30を最初に検出したことを示す特徴検出情報と、車両30を最後に検出したことを示す特徴検出情報と、それら特徴検出情報の間に特定した車両30の特徴点を示す特徴検出情報を、進入側検出装置21において検出した1台の車両30についての複数の特徴を示す特徴検出情報と決定する。
Further, after specifying the feature detection information indicating that the vehicle 30 has been detected first, the function deriving unit 182 is the feature detection information indicating that the vehicle 30 has been detected last. Determine whether. In this process, it is determined whether or not the height information included in the input feature detection information matches the road surface height information stored in advance. If it can be determined that the values match even when the error is taken into consideration, the function deriving unit 182 determines that the feature detection information is feature detection information indicating that the vehicle 30 was detected last. In addition, when a plurality of feature detection information that can be determined to match the road surface height information is input, the feature detection information including the earliest feature detection time is feature detection information indicating that the vehicle 30 was detected last. Is determined. Then, the function deriving unit 182 includes feature detection information indicating that the vehicle 30 has been detected first, feature detection information indicating that the vehicle 30 has been detected last, and the vehicle 30 specified between these feature detection information. The feature detection information indicating the feature points is determined as feature detection information indicating a plurality of features for one vehicle 30 detected by the approach side detection device 21.
ここで、進入側検出装置21において検出した車両30の特徴点を示す特徴検出情報は、図4で示すような特徴検出時刻tE1,tE2,tE3,tE4,をそれぞれ含む4つの特徴検出情報FE1,FE2,FE3,FE4であるとする。また、関数導出部182は同様の処理により、通過側検出装置22において検出した車両30の特徴点を示す特徴検出情報を決定する。通過側検出装置22において検出した車両30の特徴点を示す特徴検出情報は、図4で示すような特徴検出時刻tP1,tP2,tP3,tp4,tP5,tP6,tP7,tp8,をそれぞれ含む8つの特徴検出情報FP1,FP2,FP3,FP4,FP5,FP6,FP7,FP8であるとする。
Here, the feature detection information indicating the feature points of the vehicle 30 detected by the approach side detection device 21 includes four features including feature detection times t E1 , t E2 , t E3 , and t E4 as shown in FIG. 4. It is assumed that the detection information is F E1 , F E2 , F E3 , and F E4 . Further, the function deriving unit 182 determines feature detection information indicating the feature point of the vehicle 30 detected by the passing side detection device 22 by the same process. The feature detection information indicating the feature points of the vehicle 30 detected by the passing side detection device 22 is the feature detection times t P1 , t P2 , t P3 , t p4 , t P5 , t P6 , t P7 , as shown in FIG. t p8, and a is an eight feature detection information including each F P1, F P2, F P3 , F P4, F P5, F P6, F P7, F P8.
次に関数導出部182は、進入側検出装置21と通過側検出装置22の2つの検出装置それぞれにおける最初の特徴検出時刻を成分とする点(tE1,tP1)と、該2つの検出装置における車両30に対する最後の特徴検出時刻を成分とする点(tE4,tP8)とを通る関数を導出する(ステップS603)。当該関数は、進入側検出装置21で車両30についての検出信号を最初に検出した後の時間軸で当該進入側検出装置21が車両30の特徴を検出した際の特徴検出時刻と、当該時間軸で通過側検出装置22が車両30の特徴を検出した際の特徴検出時刻と、の関係を表す二次元の座標系における関数である。また当該関数は、進入側検出装置21と通過側検出装置22の間を走行した車両30の平均加速度による、各進入側検出装置21と通過側検出装置22での車両30の各特徴の通過時刻を示している。
より具体的には当該導出した関数は、
tp={(tP8-tP1)÷(tE4-tE1)}tE+tP1である。 Next, the function deriving unit 182 includes a point (t E1 , t P1 ) having the first feature detection time as a component in each of the two detection devices of the approach side detection device 21 and the passageside detection device 22, and the two detection devices. A function that passes through a point (t E4 , t P8 ) whose component is the last feature detection time for the vehicle 30 is derived (step S603). The function includes a feature detection time when the entry side detection device 21 detects a feature of the vehicle 30 on the time axis after the detection signal for the vehicle 30 is first detected by the entry side detection device 21, and the time axis. 2 is a function in a two-dimensional coordinate system representing the relationship with the feature detection time when the passage-side detection device 22 detects the feature of the vehicle 30. In addition, the function is the passing time of each feature of the vehicle 30 in each of the approaching side detection device 21 and the passing side detection device 22 based on the average acceleration of the vehicle 30 traveling between the approaching side detection device 21 and the passing side detection device 22. Is shown.
More specifically, the derived function is
t p = {(t P8 −t P1 ) ÷ (t E4 −t E1 )} t E + t P1 .
より具体的には当該導出した関数は、
tp={(tP8-tP1)÷(tE4-tE1)}tE+tP1である。 Next, the function deriving unit 182 includes a point (t E1 , t P1 ) having the first feature detection time as a component in each of the two detection devices of the approach side detection device 21 and the passage
More specifically, the derived function is
t p = {(t P8 −t P1 ) ÷ (t E4 −t E1 )} t E + t P1 .
そして、関数導出部182は、導出した関数の情報と、車両30の特徴点を示す特徴検出情報FE1~FE4,FP1~FP8とを仮定時刻算出部184へ出力し、また車両30の特徴点を示す特徴検出情報FE1~FE4,FP1~FP8を基準検出装置特定部183と、検出信号対応関係判定部187へ出力する。なおこのとき、特徴検出情報FE1,FP1は、進入側検出装置21と通過側検出装置22の2つの検出装置それぞれにおける車両30の最初の特徴検出時刻を示す特徴検出情報であることが通知される。また同様に、特徴検出情報FE4,FP8は、進入側検出装置21と通過側検出装置22の2つの検出装置それぞれにおける車両30の最後の特徴検出時刻を示す特徴検出情報であることが通知される。また関数導出部182は、導出した関数の情報と、車両30の特徴点を示す特徴検出情報FE1~FE4,FP1~FP8とを、対応関係判定停止部188へ出力する。
Then, the function deriving unit 182 outputs the derived function information and feature detection information F E1 to F E4 and F P1 to F P8 indicating the feature points of the vehicle 30 to the assumed time calculation unit 184, and also the vehicle 30. The feature detection information F E1 to F E4 and F P1 to F P8 indicating the feature points are output to the reference detection device specifying unit 183 and the detection signal correspondence determination unit 187. At this time, it is notified that the feature detection information F E1 and FP1 is feature detection information indicating the first feature detection time of the vehicle 30 in each of the two detection devices of the approach side detection device 21 and the passage side detection device 22. Is done. Similarly, the feature detection information F E4 and FP 8 is feature detection information indicating the last feature detection time of the vehicle 30 in each of the two detection devices of the approach side detection device 21 and the passage side detection device 22. Is done. Further, the function deriving unit 182 outputs the derived function information and feature detection information F E1 to F E4 and F P1 to F P8 indicating the feature points of the vehicle 30 to the correspondence determination stop unit 188.
次に基準検出装置特定部183は、入力した特徴検出情報FE1~FE4,FP1~FP8に基づいて、進入側検出装置21において車両30の最初の特徴検出時刻から最後の特徴検出時刻までの間に車両30の特徴を検出した回数と、通過側検出装置22において車両30の最初の特徴検出時刻から最後の特徴検出時刻までの間に当該車両30の特徴を検出した回数とを比較する。つまり、進入側検出装置21において車両30の最初の特徴検出時刻から最後の特徴検出時刻までの間に車両30の特徴を検出した回数は、特徴検出情報FE2,FE3の2回である。また、通過側検出装置22において車両30の最初の特徴検出時刻から最後の特徴検出時刻までの間に当該車両30の特徴を検出した回数は、特徴検出情報FE2~FE7の6回である。そして、基準検出装置特定部183は、進入側検出装置21と通過側検出装置22のうち、車両30の特徴を検出した回数が少ない検出装置を、基準検出装置と特定する(ステップS604)。本実施形態においては、車両30の特徴を検出した回数の少ない、進入側検出装置21を基準検出装置と特定する。そして基準検出装置特定部183は、基準検出装置と特定した進入側検出装置21の識別番号を、仮定時刻算出部184へ出力する。
Next, the reference detection device specifying unit 183, based on the input feature detection information F E1 to F E4 and F P1 to F P8 , uses the approach side detection device 21 from the first feature detection time to the last feature detection time. The number of times that the feature of the vehicle 30 has been detected is compared with the number of times that the feature of the vehicle 30 has been detected between the first feature detection time and the last feature detection time of the vehicle 30 in the passage side detection device 22. To do. That is, the number of times the feature of the vehicle 30 is detected between the first feature detection time and the last feature detection time of the vehicle 30 in the approach side detection device 21 is twice of the feature detection information F E2 and F E3 . In addition, the number of times the feature of the vehicle 30 is detected between the first feature detection time and the last feature detection time of the vehicle 30 in the passage side detection device 22 is six times of feature detection information F E2 to F E7. . And the reference | standard detection apparatus specific | specification part 183 specifies the detection apparatus with few frequency | counts which detected the characteristic of the vehicle 30 among the approach side detection apparatus 21 and the passage side detection apparatus 22 with a reference | standard detection apparatus (step S604). In this embodiment, the approach side detection device 21 with a small number of times of detecting the characteristics of the vehicle 30 is specified as the reference detection device. Then, the reference detection device specifying unit 183 outputs the identification number of the entry side detection device 21 specified as the reference detection device to the assumed time calculation unit 184.
仮定時刻算出部184は、基準検出装置となる進入側検出装置21の識別番号を入力すると、当該進入側検出装置21において検出した車両30の特徴点を示す特徴検出情報FE1~FE4のうち、車両30を最初に検出したことを示す特徴検出情報FE1と、最後に検出したことを示す特徴検出情報FE4とを除いた特徴検出情報FE2,FE3を抽出する。そして仮定時刻算出部184は、特徴検出情報FE2に含まれる特徴検出時刻tE2を、関数導出部182によって導出された関数の変数tEに代入し、当該関数の変数tPについて算出することにより仮定時刻T1を算出する(ステップS605)。当該仮定時刻T1は、車両30が平均加速度で進入側検出装置21と通過側検出装置22の間を走行したと仮定した場合に、進入側検出装置21から入力した検出信号に基づいて生成された特徴検出情報の示す特徴が通過側検出装置22で検出される可能性のある仮定時刻である。
When the assumed time calculation unit 184 inputs the identification number of the approach side detection device 21 serving as the reference detection device, the assumed time calculation unit 184 includes feature detection information F E1 to F E4 indicating feature points of the vehicle 30 detected by the approach side detection device 21. Then, feature detection information F E2 and F E3 excluding the feature detection information F E1 indicating that the vehicle 30 is detected first and the feature detection information F E4 indicating that it is detected last are extracted. Then, the assumed time calculation unit 184 substitutes the feature detection time t E2 included in the feature detection information F E2 for the variable t E of the function derived by the function deriving unit 182 and calculates the variable t P of the function. To calculate an assumed time T1 (step S605). The assumed time T1 is generated based on a detection signal input from the approach side detection device 21 when it is assumed that the vehicle 30 travels between the approach side detection device 21 and the passage side detection device 22 with an average acceleration. This is an assumed time at which the feature indicated by the feature detection information may be detected by the passage side detection device 22.
また仮定時刻算出部184は、仮定時刻T1の算出と同様に、特徴検出情報FE3に含まれる特徴検出時刻tE3を、関数導出部182によって導出された関数の変数tEに代入し、当該関数の変数tPについて算出することにより仮定時刻T2を算出する。そして、仮定時刻算出部184は仮定時刻T1と、当該仮定時刻T1の算出に用いた特徴検出情報FE2を、特徴検出情報候補特定部185へ出力する。また、仮定時刻算出部184は仮定時刻T2と、当該仮定時刻T2の算出に用いた特徴検出情報FE3を、特徴検出情報候補特定部185へ出力する。
Similarly to the calculation of the assumed time T1, the assumed time calculation unit 184 substitutes the feature detection time t E3 included in the feature detection information F E3 for the variable t E of the function derived by the function deriving unit 182. calculating the assumed time T2 by calculating the function of the variable t P. Then, the assumed time calculation unit 184 outputs the assumed time T1 and the feature detection information FE2 used to calculate the assumed time T1 to the feature detection information candidate specifying unit 185. Also, the assumed time calculation unit 184 outputs the assumed time T2 and the feature detection information FE3 used for calculating the assumed time T2 to the feature detection information candidate specifying unit 185.
特徴検出情報候補特定部185は、仮定時刻T1と、当該仮定時刻T1の算出に用いた特徴検出情報FE2を入力すると、特徴検出情報FE2に含まれる高さ増減情報を抽出する。当該特徴検出情報FE2に含まれる高さ増減情報は、その特徴検出情報FE2に含まれる特徴検出時刻tE2について図4で「↑」と表すように“増”を示している。従って、特徴検出情報候補特定部185は、通過側検出装置22において検出した車両30の特徴点を示す特徴検出情報FP1~FP8のうち車両30を最初に検出したことを示す特徴検出情報FP1と、最後に検出したことを示す特徴検出情報FP8とを除いた特徴検出情報FP2~FP7中から、高さ増減情報が“増”を示している特徴検出情報の候補FP2,FP4,FP6を抽出する(ステップS606)。そして、特徴検出情報候補特定部185は、進入側検出装置21において検出した車両30の特徴点を示す特徴検出情報FE2と、当該特徴検出情報を用いて算出した仮定時刻T1と、当該特徴検出情報FE2に対応する通過側検出装置22側の候補を、特徴検出情報特定部186へ出力する。通過側検出装置22側の候補は、通過側検出装置22において検出した車両30の特徴点を示す特徴検出情報の候補として特徴検出情報候補特定部185が特定した特徴検出情報FP2,FP4,FP6である。
When the feature detection information candidate specifying unit 185 receives the assumed time T1 and the feature detection information FE2 used to calculate the assumed time T1, the feature detection information candidate specifying unit 185 extracts height increase / decrease information included in the feature detection information FE2 . The height decrease information included in the feature detection information F E2 indicates "increase" as represented as "↑" in Figure 4 for the feature detection time t E2 contained in the feature detection information F E2. Accordingly, the feature detection information candidate specifying unit 185 includes feature detection information F indicating that the vehicle 30 is first detected among the feature detection information F P1 to F P8 indicating the feature points of the vehicle 30 detected by the passage side detection device 22. Among the feature detection information F P2 to F P7 excluding P1 and the feature detection information FP8 indicating the last detection, feature detection information candidates F P2 , whose height increase / decrease information indicates “increased”, F P4 and F P6 are extracted (step S606). Then, the feature detection information candidate specifying unit 185 includes feature detection information FE2 indicating the feature point of the vehicle 30 detected by the approach side detection device 21, the assumed time T1 calculated using the feature detection information, and the feature detection candidates passing side detection device 22 side corresponding to information F E2, and outputs it to the feature detection information identification unit 186. The candidates on the passing side detection device 22 are the feature detection information F P2 , F P4 , and the feature detection information specified by the feature detection information candidate specifying unit 185 as feature detection information candidates indicating the feature points of the vehicle 30 detected by the passing side detection device 22. FP6 .
そして特徴検出情報特定部186は、仮定時刻T1と、特徴検出情報FP2,FP4,FP6とを比較して、特徴検出情報FP2,FP4,FP6の中から、特徴検出情報FE2に含まれる特徴検出時刻tE2によって算出した仮定時刻T1に最も近い特徴検出時刻を含む特徴検出情報を抽出する(ステップS607)。つまり、特徴検出情報FE2に含まれる特徴検出時刻tE2によって算出した仮定時刻T1と、特徴検出情報FP2,FP4,FP6それぞれに含まれる特徴検出時刻tP2,tP4,tP6を用いて、「tP2-T1」、「tP4-T1」、「tP6-T1」をそれぞれ算出する。そして特徴検出情報特定部186は、特徴検出時刻tP2,tP4,tP6を用いた当該算出について、最も時刻差の小さくなる場合となる特徴検出時刻を含む特徴検出情報を、特徴検出情報FP2,FP4,FP6の中から抽出する。本実施形態においては、特徴検出情報FP2が抽出される。そして特徴検出情報特定部186は、特徴検出情報FE2とその特徴検出情報FE2に対応する特徴検出情報FP2の組みを、検出信号対応関係判定部187へ出力する。
Then, the feature detection information specifying unit 186 compares the assumed time T1 with the feature detection information F P2 , F P4 , and FP 6, and from the feature detection information F P2 , F P4 , and FP 6 , the feature detection information F extracting the feature detection information including the nearest feature detection time on the assumption time T1 calculated by the feature detection time t E2 contained in E2 (step S607). That is, assume the time T1 calculated by the feature detection time t E2 included in the feature detection information F E2, the feature detection information F P2, F P4, F P6 feature detection time t P2 contained in each, t P4, t P6 Then, “t P2 −T1”, “t P4 −T1”, and “t P6 −T1” are respectively calculated. Then, the feature detection information specifying unit 186 calculates the feature detection information including the feature detection time at which the time difference becomes the smallest for the calculation using the feature detection times t P2 , t P4 , and t P6. Extracted from P2 , F P4 and FP6 . In the present embodiment, feature detection information FP2 is extracted. The feature detecting information identifying unit 186, a set of feature detection information F P2 corresponding to the feature detection information F E2 to the feature detection information F E2, and outputs the detection signal corresponding relation determining unit 187.
なお最も時刻差の小さくなる場合の特徴検出時刻tP2と仮定時刻T1との差が所定の閾値以上である場合には、それら特徴検出情報FE2とその特徴検出情報FE2に対応する特徴検出情報FP2の組みを破棄するようにしてもよい。進入側検出装置21と通過側検出装置22の間を走行する車両30の加速や減速は、ある程度想定範囲内であると考えられる。しかしながら特徴検出時刻tP2と仮定時刻T1との差が所定の閾値以上である場合には、進入側検出装置21と通過側検出装置22の間において、その想定を超える加速や減速が行われた可能性が高く、信頼性の低い特徴点の情報となる。従って、そのような情報を採用しないことを目的として、特徴検出情報FE2とその特徴検出情報FE2に対応する特徴検出情報FP2の組みが破棄されることとなる。
If the difference between the feature detection time tP2 and the assumed time T1 when the time difference is the smallest is equal to or greater than a predetermined threshold value, the feature detection information F E2 and feature detection corresponding to the feature detection information F E2 The set of information FP2 may be discarded. It is considered that acceleration and deceleration of the vehicle 30 traveling between the approach side detection device 21 and the passage side detection device 22 are within a certain range to some extent. However, when the difference between the feature detection time tP2 and the assumed time T1 is equal to or greater than a predetermined threshold value, acceleration or deceleration exceeding the assumption is performed between the approach side detection device 21 and the passage side detection device 22. This is information on feature points with high possibility and low reliability. Therefore, for the purpose not to adopt such information, and thus the set of feature detection information F E2, wherein detection information F P2 corresponding to the feature detection information F E2 is discarded.
また特徴検出情報特定部186は、特徴検出情報FE2とその特徴検出情報FE2に対応する特徴検出情報FP2の組みを特定したのと同様に、特徴検出情報FE3とその特徴検出情報FE3に対応する特徴検出情報FP7の組みを特定し、検出信号対応関係判定部187へ出力する。
The feature detection information specifying unit 186, feature detection information F E2 and in a way analogous to that specified a set of feature detection information F P2 corresponding to the feature detection information F E2, feature detection information F E3 and its feature detection information F A set of feature detection information FP7 corresponding to E3 is specified and output to the detection signal correspondence determination unit 187.
次に検出信号対応関係判定部187は、関数導出部182より入力した車両30の特徴点を示す特徴検出情報FE1~FE4,FP1~FP8に基づいて、進入側検出装置21において車両30を最初に検出したことを示す特徴検出情報FE1の生成に用いた検出信号E1と、通過側検出装置22において車両30を最初に検出したことを示す特徴検出情報FP1の生成に用いた検出信号P1とを、車両30の特徴点を検出した際の対応する検出信号と判定する(ステップS608)。
Next, based on the feature detection information F E1 to F E4 and F P1 to F P8 indicating the feature points of the vehicle 30 input from the function deriving unit 182, the detection signal correspondence determination unit 187 determines the vehicle in the approach side detection device 21. The detection signal E1 used to generate the feature detection information FE1 indicating that the vehicle 30 is detected first, and the feature detection information FP1 that indicates that the vehicle 30 is detected first in the passage side detection device 22 are used. The detection signal P1 is determined as a corresponding detection signal when the feature point of the vehicle 30 is detected (step S608).
また、検出信号対応関係判定部187は、関数導出部182より入力した車両30の特徴点を示す特徴検出情報FE1~FE4,FP1~FP8に基づいて、進入側検出装置21において車両30を最後に検出したことを示す特徴検出情報FE4の生成に用いた検出信号E4と、通過側検出装置22において車両30を最後に検出したことを示す特徴検出情報FP8の生成に用いた検出信号P8とを、車両30の特徴点を検出した際の対応する検出信号と判定する。
Further, the detection signal correspondence determination unit 187 determines whether the vehicle on the approach side detection device 21 is based on the feature detection information F E1 to F E4 and F P1 to F P8 indicating the feature points of the vehicle 30 input from the function deriving unit 182. The detection signal E4 used to generate the feature detection information FE4 indicating that the vehicle 30 was detected last, and the feature detection information FP8 indicating that the vehicle 30 was detected last in the passage side detection device 22 were used. The detection signal P8 is determined as a corresponding detection signal when the feature point of the vehicle 30 is detected.
また、検出信号対応関係判定部187は、特徴検出情報特定部186より入力した、特徴検出情報FE2とその特徴検出情報FE2に対応する特徴検出情報FP2の組みに基づいて、進入側検出装置21において当該特徴検出情報FE2の生成に用いた検出信号E2と、通過側検出装置22において当該特徴検出情報FP2の生成に用いた検出信号P2とを、車両30の特徴点を検出した際の対応する検出信号と判定する。
The detection signal correspondence determination unit 187, and input from the feature detection information specifying unit 186, based on the set of feature detection information F P2 corresponding to the feature detection information F E2 to the feature detection information F E2, entry side detection the apparatus 21 and the detection signal E2 used for generating of the feature detection information F E2, and a detection signal P2 used for generating of the feature detection information F P2 in the pass-side detection device 22 to detect the feature points of the vehicle 30 The corresponding detection signal is determined.
また、検出信号対応関係判定部187は、特徴検出情報特定部186より入力した、特徴検出情報FE3とその特徴検出情報FE3に対応する特徴検出情報FP7の組みに基づいて、進入側検出装置21において当該特徴検出情報FE3の生成に用いた検出信号E3と、通過側検出装置22において当該特徴検出情報FP7の生成に用いた検出信号P7とを、車両30の特徴点を検出した際の対応する検出信号と判定する。
Further, the detection signal correspondence determination unit 187 detects the approach side based on the combination of the feature detection information FE3 and the feature detection information FP7 corresponding to the feature detection information FE3 input from the feature detection information specifying unit 186. A feature point of the vehicle 30 is detected using the detection signal E3 used for generating the feature detection information FE3 in the device 21 and the detection signal P7 used for generating the feature detection information FP7 in the passing side detection device 22. The corresponding detection signal is determined.
そして、処理結果出力部189は、検出信号対応関係判定部187によって判定された車両30の特徴点を検出した際の対応する検出信号E1,P1、検出信号E2,P2、検出信号E3,P7、検出信号E4,P8に含まれる各情報を、高さ対応関係判定部13と信号強度対応関係判定部14へ出力する(ステップS609)。
より具体的には、処理結果出力部189は、検出信号対応関係判定部187によって判定された各検出信号から、高さ情報,反射光量,検出時刻や検出装置の識別番号を読み取って、高さ情報と検出時刻およびそれらを検出した検出装置の識別番号(進入側検出装置21または通過側検出装置22の何れかを識別する識別番号)との組合せの情報を高さ対応関係判定部13へ出力する。また処理結果出力部189は、入力した検出信号から、高さ情報,反射光量,検出時刻を読み取って、反射光量と検出時刻およびそれらを検出した検出装置の識別番号(進入側検出装置21または通過側検出装置22の何れかを識別する識別番号)との組合せの情報を信号強度対応関係判定部14へ出力する。 Then, the processing result output unit 189 detects detection points E1, P1, detection signals E2, P2, detection signals E3, P7 when detecting the feature points of thevehicle 30 determined by the detection signal correspondence determination unit 187, Each information included in the detection signals E4 and P8 is output to the height correspondence determination unit 13 and the signal strength correspondence determination unit 14 (step S609).
More specifically, the processing result output unit 189 reads the height information, the reflected light amount, the detection time, and the identification number of the detection device from each detection signal determined by the detection signal correspondence determination unit 187 to obtain the height. Information on the combination of the information, the detection time, and the identification number of the detection device that detected them (identification number identifying either the entry side detection device 21 or the passage side detection device 22) is output to the heightcorrespondence determination unit 13 To do. The processing result output unit 189 reads the height information, the reflected light amount, and the detection time from the input detection signal, and the reflected light amount, the detection time, and the identification number of the detection device that has detected them (the entry side detection device 21 or the passage). Information of the combination with the identification number for identifying one of the side detection devices 22 is output to the signal strength correspondence determination unit 14.
より具体的には、処理結果出力部189は、検出信号対応関係判定部187によって判定された各検出信号から、高さ情報,反射光量,検出時刻や検出装置の識別番号を読み取って、高さ情報と検出時刻およびそれらを検出した検出装置の識別番号(進入側検出装置21または通過側検出装置22の何れかを識別する識別番号)との組合せの情報を高さ対応関係判定部13へ出力する。また処理結果出力部189は、入力した検出信号から、高さ情報,反射光量,検出時刻を読み取って、反射光量と検出時刻およびそれらを検出した検出装置の識別番号(進入側検出装置21または通過側検出装置22の何れかを識別する識別番号)との組合せの情報を信号強度対応関係判定部14へ出力する。 Then, the processing result output unit 189 detects detection points E1, P1, detection signals E2, P2, detection signals E3, P7 when detecting the feature points of the
More specifically, the processing result output unit 189 reads the height information, the reflected light amount, the detection time, and the identification number of the detection device from each detection signal determined by the detection signal correspondence determination unit 187 to obtain the height. Information on the combination of the information, the detection time, and the identification number of the detection device that detected them (identification number identifying either the entry side detection device 21 or the passage side detection device 22) is output to the height
なお、上述の検出信号抽出部18の各処理部における処理では、高さ情報や、高さ増減情報に基づいて、車両30の幾何学的な特徴点を検出した際の検出信号を、高さ対応関係判定部13と信号強度対応関係判定部14へ出力する場合の例を示している。しかしながら、更に、検出信号抽出部18は、車両30へ照射した光照射信号に対応する光反射信号の強度である反射光量や、信号強度増減情報に基づいて、車両30の光学的な特徴点を検出した際の検出信号を、高さ対応関係判定部13と信号強度対応関係判定部14へ出力する。
または、幾何学的な特徴点を検出した際の検出信号と、光学的な特徴点を検出した際の検出信号の何れか一方のみを、高さ対応関係判定部13と信号強度対応関係判定部14へ出力するようにしてもよい。 In the processing in each processing unit of the detectionsignal extraction unit 18 described above, the detection signal when the geometric feature point of the vehicle 30 is detected based on the height information and the height increase / decrease information is set to the height. The example in the case of outputting to the correspondence determination part 13 and the signal strength correspondence determination part 14 is shown. However, the detection signal extraction unit 18 further determines the optical feature points of the vehicle 30 based on the reflected light amount that is the intensity of the light reflection signal corresponding to the light irradiation signal irradiated to the vehicle 30 and the signal intensity increase / decrease information. The detection signal at the time of detection is output to the height correspondence determination unit 13 and the signal strength correspondence determination unit 14.
Alternatively, only one of the detection signal when the geometric feature point is detected and the detection signal when the optical feature point is detected is used as the heightcorrespondence determination unit 13 and the signal strength correspondence determination unit. 14 may be output.
または、幾何学的な特徴点を検出した際の検出信号と、光学的な特徴点を検出した際の検出信号の何れか一方のみを、高さ対応関係判定部13と信号強度対応関係判定部14へ出力するようにしてもよい。 In the processing in each processing unit of the detection
Alternatively, only one of the detection signal when the geometric feature point is detected and the detection signal when the optical feature point is detected is used as the height
ここで、上述の処理が行われている間に、対応関係判定停止部188が、車両30についての特徴点の対応関係の判定を停止するようにしてもよい。この場合、具体的には、対応関係判定停止部188は、進入側検出装置21より車両30について最初に入力した検出信号に含まれる特徴検出時刻tE1と、通過側検出装置22より車両30について最初に入力した検出信号に含まれる特徴検出時刻tP1の前後関係を判定する。また対応関係判定停止部188は、進入側検出装置21より車両30について最後に入力した検出信号に含まれる特徴検出時刻tE4と、通過側検出装置22より車両30について最後に入力した検出信号に含まれる特徴検出時刻tP8の前後関係を判定する。そして対応関係判定停止部188は、それら2つの前後関係を比較して、それら前後関係が異なる場合には、進入側検出装置21と通過側検出装置22とから入力する検出信号の対応関係の判定を停止すると決定する。
Here, while the above-described processing is being performed, the correspondence determination stop unit 188 may stop the determination of the feature point correspondence for the vehicle 30. In this case, specifically, the correspondence determination stop unit 188 includes the feature detection time t E1 included in the detection signal first input about the vehicle 30 from the approach side detection device 21 and the vehicle 30 from the passage side detection device 22. The front-rear relation of the feature detection time t P1 included in the detection signal input first is determined. In addition, the correspondence determination stop unit 188 uses the feature detection time t E4 included in the detection signal last input for the vehicle 30 from the approach side detection device 21 and the detection signal input for the vehicle 30 last from the passage side detection device 22. The anteroposterior relationship of included feature detection time tP8 is determined. Then, the correspondence determination stop unit 188 compares the two anteroposterior relationships, and if the anteroposterior relationships are different, the correspondence relationship determination of the detection signals input from the approach side detection device 21 and the passage side detection device 22 is performed. Decide to stop.
ここで、これら2つの前後関係が異なるということは、車両30の最初の検出は通過側検出装置22より進入側検出装置21が早かったにもかかわらず、車両30の最後の検出は進入側検出装置21より通過側検出装置22の方が早かったこととなる。このような現象はありえないため、進入側検出装置21と通過側検出装置22とから入力する検出信号の対応関係の判定を停止することとなる。
Here, the fact that these two front-rear relations are different means that the first detection of the vehicle 30 is earlier than the passage-side detection device 22, but the last detection of the vehicle 30 is the detection of the entry-side. This means that the passing side detection device 22 is earlier than the device 21. Since such a phenomenon is not possible, the determination of the correspondence relationship between the detection signals input from the approach side detection device 21 and the passage side detection device 22 is stopped.
以上の処理によれば、進入側検出装置21において車両30の特徴を検出した検出信号と、通過側検出装置22において車両30の特徴を検出した検出信号の中から、同一の特徴を示す検出信号の対を判定することができる。これにより車両30の車長を測定するにあたり、適切な車両30の検出信号を、距離を隔てて設置された2つの検出装置より入力した検出信号の中から抽出することができる。
According to the above processing, the detection signal indicating the same feature from the detection signal that detects the feature of the vehicle 30 in the approach side detection device 21 and the detection signal that detects the feature of the vehicle 30 in the passage side detection device 22. Can be determined. Thereby, in measuring the vehicle length of the vehicle 30, an appropriate detection signal of the vehicle 30 can be extracted from detection signals input from two detection devices installed at a distance.
図7は入力部の入力した情報に基づく計測結果データを示す図である。
この図は、測定対象物測定装置10が、進入側検出装置21または通過側検出装置22より入力した情報に基づいた計測結果データである。当該計測結果データは、t1,t2,t3,t4・・・tnの各検出時刻におけるx1,x2,x3,x4,・・・,xnの計測点における高さ情報を示している。当該計測結果データは、進入側検出装置21より入力した情報、または、通過側検出装置22より入力した情報の何れの情報によっても作成することができる。例えば、図7に示す計測結果データは、進入側検出装置21より入力した高さ情報を、図3で示すデータテーブルから読み取って作成したものである場合、t1,t2,t3,t4・・・tnの各検出時刻におけるx1,x2,x3,x4,・・・,xnの計測点について進入側検出装置21が検出した高さ情報を示す。なお、計測点とは、図7に示す計測結果データが、進入側検出装置21より入力した高さ情報によって作成したものである場合には、進入側検出装置21が計測するA地点での道路上の幅方向(道路の進行方向に直交する方向)に平行な複数の各計測点を示す。 FIG. 7 is a diagram illustrating measurement result data based on information input by the input unit.
This figure shows measurement result data based on information input from the entry side detection device 21 or the passageside detection device 22 by the measurement object measurement device 10. The measurement result data indicates height information at measurement points x1, x2, x3, x4,..., Xn at detection times t1, t2, t3, t4. The measurement result data can be generated by any information of information input from the approach side detection device 21 or information input from the passage side detection device 22. For example, when the measurement result data shown in FIG. 7 is created by reading the height information input from the approach side detection device 21 from the data table shown in FIG. 3, t1, t2, t3, t4. The height information which the approach side detection apparatus 21 detected about the measurement point of x1, x2, x3, x4, ..., xn in each detection time of tn is shown. Note that the measurement point is the road at the point A measured by the entry side detection device 21 when the measurement result data shown in FIG. 7 is created based on the height information input from the entry side detection device 21. A plurality of measurement points parallel to the upper width direction (direction perpendicular to the traveling direction of the road) are shown.
この図は、測定対象物測定装置10が、進入側検出装置21または通過側検出装置22より入力した情報に基づいた計測結果データである。当該計測結果データは、t1,t2,t3,t4・・・tnの各検出時刻におけるx1,x2,x3,x4,・・・,xnの計測点における高さ情報を示している。当該計測結果データは、進入側検出装置21より入力した情報、または、通過側検出装置22より入力した情報の何れの情報によっても作成することができる。例えば、図7に示す計測結果データは、進入側検出装置21より入力した高さ情報を、図3で示すデータテーブルから読み取って作成したものである場合、t1,t2,t3,t4・・・tnの各検出時刻におけるx1,x2,x3,x4,・・・,xnの計測点について進入側検出装置21が検出した高さ情報を示す。なお、計測点とは、図7に示す計測結果データが、進入側検出装置21より入力した高さ情報によって作成したものである場合には、進入側検出装置21が計測するA地点での道路上の幅方向(道路の進行方向に直交する方向)に平行な複数の各計測点を示す。 FIG. 7 is a diagram illustrating measurement result data based on information input by the input unit.
This figure shows measurement result data based on information input from the entry side detection device 21 or the passage
それぞれの計測点に対応する情報として測定対象物測定装置10が入力した各情報は、それぞれ、各計測点に対応して設置された複数の進入側検出装置21それぞれが計測した情報であってもよい。または、それぞれの計測点に対応する情報として測定対象物測定装置10が入力した各情報は、1つまたは複数の道路上方に設置された進入側検出装置21が、下鉛直方向を中心とする道路の幅方向の広角な範囲のそれぞれの角度で照射信号を照射して計測した情報であってもよい。
Each piece of information input by the measurement object measuring device 10 as information corresponding to each measurement point may be information measured by each of the plurality of entry side detection devices 21 installed corresponding to each measurement point. Good. Alternatively, each piece of information input by the measurement object measuring device 10 as information corresponding to each measurement point is obtained by the approach-side detection device 21 installed above one or more roads centering on the lower vertical direction. The information measured by irradiating the irradiation signal at each angle in the wide angle range in the width direction may be used.
なお、測定対象物測定装置10は、進入側検出装置21または通過側検出装置22より入力した情報に基づいて、図7で示した計測結果データのほか、進入側検出装置21が検出した検出時刻、各計測点での反射光量を示す計測結果データや、通過側検出装置22が検出した検出時刻、各計測点の高さ情報を示す計測結果データや、通過側検出装置22が検出した検出時刻、各計測点の反射光量を示す計測結果データ、を記憶する。
The measurement object measuring device 10 detects the detection time detected by the approach side detection device 21 in addition to the measurement result data shown in FIG. 7 based on the information input from the approach side detection device 21 or the passage side detection device 22. Measurement result data indicating the amount of reflected light at each measurement point, detection time detected by the passage side detection device 22, measurement result data indicating height information of each measurement point, detection time detected by the passage side detection device 22 Measurement result data indicating the amount of reflected light at each measurement point is stored.
図7で示す計測結果データでは、時刻t3~時刻t29において、x4~x20の範囲の各計測点において、進入側検出装置21が高さ情報を計測したことを示している。また、この計測結果データは、測定対象物測定装置10が、進入側検出装置21において時刻t3~時刻t10の間、x4~x20の各計測点について計測されたほぼ同一の高さ情報A1を入力し、進入側検出装置21において時刻t11~時刻t22の間、x4~x20の各計測点について計測されたほぼ同一の高さ情報B1を入力し、進入側検出装置21において時刻t23~時刻t29の間、x4~x20の各計測点について計測されたほぼ同一の高さ情報C1を入力したことを示している。
The measurement result data shown in FIG. 7 indicates that the entry side detection device 21 measured height information at each measurement point in the range of x4 to x20 from time t3 to time t29. As the measurement result data, the measurement object measuring apparatus 10 inputs almost the same height information A1 measured at the measurement points x4 to x20 between the time t3 and the time t10 in the approach side detection apparatus 21. Then, approximately the same height information B1 measured for each of the measurement points x4 to x20 is input from the time t11 to the time t22 in the approach side detection device 21, and the time t23 to the time t29 is input in the approach side detection device 21. In the meantime, it shows that almost the same height information C1 measured for each measurement point of x4 to x20 is inputted.
また、図7の計測結果データは、高さ情報A1,B1,C1の各高さ情報を示しており、これにより、車両30が、高さ情報A1、高さ情報B1、高さ情報C1の3つの特徴を持つものであることを認識することができる。
また同様に、測定対象物測定装置10は、計測結果データで示される進入側検出装置21から入力した反射光量の情報に基づいて、車両30が、ボディーの色や部位(サンルーフやトラック荷台など)の光学的に違う複数の特徴を持つものであることを認識することができる。 Moreover, the measurement result data of FIG. 7 has shown each height information of height information A1, B1, C1, and, thereby, thevehicle 30 is the height information A1, height information B1, and height information C1. It can be recognized that it has three characteristics.
Similarly, the measuringobject measuring apparatus 10 is configured so that the vehicle 30 can change the body color and part (sunroof, truck bed, etc.) based on the information on the amount of reflected light input from the approach side detection apparatus 21 indicated by the measurement result data. It can be recognized that it has a plurality of optically different characteristics.
また同様に、測定対象物測定装置10は、計測結果データで示される進入側検出装置21から入力した反射光量の情報に基づいて、車両30が、ボディーの色や部位(サンルーフやトラック荷台など)の光学的に違う複数の特徴を持つものであることを認識することができる。 Moreover, the measurement result data of FIG. 7 has shown each height information of height information A1, B1, C1, and, thereby, the
Similarly, the measuring
また同様に、測定対象物測定装置10は、計測結果データで示される通過側検出装置22から入力した高さ情報に基づいて、車両30が、ボンネットや他の部位(ルーフやトラック荷台など)の幾何学的な複数の特徴を持つものであることを認識することができる。
また同様に、測定対象物測定装置10は、計測結果データで示される通過側検出装置22から入力した反射光量の情報に基づいて、車両30が、ボディーの色や部位の光学的に違う複数の特徴を持つものであることを認識することができる。 Similarly, the measuringobject measuring apparatus 10 is configured such that the vehicle 30 is connected to a hood or other part (roof, truck bed, etc.) based on the height information input from the passing side detection apparatus 22 indicated by the measurement result data. It can be recognized that it has a plurality of geometric features.
Similarly, the measuringobject measuring apparatus 10 is configured so that the vehicle 30 has a plurality of optically different body colors and parts based on information on the amount of reflected light input from the passing side detection apparatus 22 indicated by the measurement result data. It can be recognized that it has characteristics.
また同様に、測定対象物測定装置10は、計測結果データで示される通過側検出装置22から入力した反射光量の情報に基づいて、車両30が、ボディーの色や部位の光学的に違う複数の特徴を持つものであることを認識することができる。 Similarly, the measuring
Similarly, the measuring
そして、測定対象物測定装置10は、進入側検出装置21より入力した車両30の高さ情報に基づく幾何学的な特徴と、反射光量に基づく光学的な特徴、また、通過側検出装置22からより入力した車両30の高さ情報に基づく幾何学的な特徴と、反射光量に基づく光学的な特徴を用いて、車両30の車長を算出する。
Then, the measuring object measuring device 10 includes a geometric feature based on the height information of the vehicle 30 input from the approach side detection device 21, an optical feature based on the reflected light amount, and the passage side detection device 22. The vehicle length of the vehicle 30 is calculated using the geometric feature based on the input height information of the vehicle 30 and the optical feature based on the amount of reflected light.
図8は、検出信号抽出部から出力された情報のデータ例を示す図である。
次に、具体的な車両30の車長の算出手法を説明する。
測定対象物測定装置10は、進入側検出装置21より入力した高さ情報に基づいて、時刻t3に高さ情報A1を検出したと判定する。また測定対象物測定装置10は高さ情報A1よりも所定の閾値以上高さの異なる高さ情報B1を時刻t11に検出したと判定する。
また測定対象物測定装置10は高さ情報B1よりも所定の閾値以上高さの異なる高さ情報C1を時刻t23に検出したと判定する。すると、測定対象物測定装置10は、進入側検出装置21より入力した高さ情報に基づいて、高さ情報A1,B1,C1の各特徴それぞれを初めて検出した各時刻を、特徴検出時刻t3、特徴検出時刻t11、特徴検出時刻t23と特定する。また測定対象物測定装置10は、進入側検出装置21より入力した高さ情報に基づいて、車両30の高さを検出した後に、次に路面を検出したと判定した時刻を検出し、その時刻を特徴検出時刻t30と判定する。 FIG. 8 is a diagram illustrating a data example of information output from the detection signal extraction unit.
Next, a specific method for calculating the vehicle length of thevehicle 30 will be described.
The measuringobject measuring apparatus 10 determines that the height information A1 is detected at time t3 based on the height information input from the approach side detection apparatus 21. Further, the measuring object measuring apparatus 10 determines that the height information B1 having a height different from the height information A1 by a predetermined threshold or more is detected at time t11.
Further, the measuringobject measuring apparatus 10 determines that the height information C1 having a height different from the height information B1 by a predetermined threshold or more is detected at time t23. Then, based on the height information input from the approach side detection device 21, the measurement object measuring device 10 detects each time when each feature of the height information A1, B1, C1 is detected for the first time as a feature detection time t3, The feature detection time t11 and the feature detection time t23 are specified. Further, the measurement object measuring device 10 detects the time when it is determined that the road surface is detected next after detecting the height of the vehicle 30 based on the height information input from the approach side detection device 21, and the time Is determined as a feature detection time t30.
次に、具体的な車両30の車長の算出手法を説明する。
測定対象物測定装置10は、進入側検出装置21より入力した高さ情報に基づいて、時刻t3に高さ情報A1を検出したと判定する。また測定対象物測定装置10は高さ情報A1よりも所定の閾値以上高さの異なる高さ情報B1を時刻t11に検出したと判定する。
また測定対象物測定装置10は高さ情報B1よりも所定の閾値以上高さの異なる高さ情報C1を時刻t23に検出したと判定する。すると、測定対象物測定装置10は、進入側検出装置21より入力した高さ情報に基づいて、高さ情報A1,B1,C1の各特徴それぞれを初めて検出した各時刻を、特徴検出時刻t3、特徴検出時刻t11、特徴検出時刻t23と特定する。また測定対象物測定装置10は、進入側検出装置21より入力した高さ情報に基づいて、車両30の高さを検出した後に、次に路面を検出したと判定した時刻を検出し、その時刻を特徴検出時刻t30と判定する。 FIG. 8 is a diagram illustrating a data example of information output from the detection signal extraction unit.
Next, a specific method for calculating the vehicle length of the
The measuring
Further, the measuring
また測定対象物測定装置10は、進入側検出装置21より入力した反射光量に基づいて、時刻t3に道路の反射光量から所定の閾値以上変化した反射光量m1を検出したと判定する。また測定対象物測定装置10は反射光量m1よりも所定の閾値以上光量の変化した反射光量n1を時刻tn1に検出したと判定する。また測定対象物測定装置10は反射光量n1よりも所定の閾値以上光量の変化した反射光量o1を時刻tn2に検出したと判定する。すると、測定対象物測定装置10は、進入側検出装置21より入力した反射光量に基づいて、先に検出していた反射光量よりも所定の閾値以上光量の変化した反射光量m1,n1,o1の各特徴それぞれを初めて検出した各時刻を、特徴検出時刻t3、特徴検出時刻tn1、特徴検出時刻tn2と特定する。
なお、時刻の関係は、特徴検出時刻t3<特徴検出時刻tn1<特徴検出時刻tn2<特徴検出時刻t11<特徴検出時刻t23<特徴検出時刻t30、であるとする。 Further, the measuringobject measuring apparatus 10 determines that the reflected light quantity m1 that has changed from the reflected light quantity on the road by a predetermined threshold or more at time t3 is detected based on the reflected light quantity input from the approach side detection apparatus 21. The measuring object measuring device 10 determines that it has detected the time tn 1 the reflected light amount n1 has changed the predetermined threshold value or higher amount than the amount of reflected light m1. The measuring object measuring device 10 determines that it has detected the time tn 2 the amount of reflected light o1 that the variation of the predetermined threshold value or higher amount than the amount of reflected light n1. Then, the measuring object measuring apparatus 10 uses the reflected light quantity m1, n1, and o1 whose light quantity has changed by a predetermined threshold or more than the previously detected reflected light quantity based on the reflected light quantity input from the entry side detection device 21. Each time when each feature is detected for the first time is identified as feature detection time t3, feature detection time tn 1 , and feature detection time tn 2 .
The time relationship is assumed to be feature detection time t3 <feature detection time tn 1 <feature detection time tn 2 <feature detection time t11 <feature detection time t23 <feature detection time t30.
なお、時刻の関係は、特徴検出時刻t3<特徴検出時刻tn1<特徴検出時刻tn2<特徴検出時刻t11<特徴検出時刻t23<特徴検出時刻t30、であるとする。 Further, the measuring
The time relationship is assumed to be feature detection time t3 <feature detection time tn 1 <feature detection time tn 2 <feature detection time t11 <feature detection time t23 <feature detection time t30.
また測定対象物測定装置10は、通過側検出装置22より入力した高さ情報に基づいて、時刻tn3に高さ情報A1を検出したと判定する。また測定対象物測定装置10は高さ情報A1よりも所定の閾値以上高さの異なる高さ情報B1を時刻tn6に検出したと判定する。また測定対象物測定装置10は高さ情報B1よりも所定の閾値以上高さの異なる高さ情報C1を時刻tn7に検出したと判定する。すると、測定対象物測定装置10は、通過側検出装置22より入力した高さ情報に基づいて、高さ情報A1,B1,C1の各特徴それぞれを初めて検出した各時刻を、特徴検出時刻tn3、特徴検出時刻tn6、特徴検出時刻tn7と特定する。また測定対象物測定装置10は、通過側検出装置22より入力した高さ情報に基づいて、車両30の高さを検出した後に、次に路面を検出したと判定した時刻を検出し、その時刻を特徴検出時刻tn8と判定する。
Further, the measurement object measuring apparatus 10 determines that the height information A1 is detected at time tn 3 based on the height information input from the passage side detection apparatus 22. The measuring object measuring device 10 determines that it has detected more than a predetermined threshold level different height information B1 to the time tn 6 than the height information A1. Further determines that detects a measuring object measuring apparatus 10 is height information height information C1 of different predetermined threshold or higher than B1 at time tn 7. Then, based on the height information input from the passage side detection device 22, the measurement object measuring device 10 detects each time when each feature of the height information A1, B1, and C1 is detected for the first time as a feature detection time tn 3. , Feature detection time tn 6 and feature detection time tn 7 . Further, the measuring object measuring device 10 detects the time when it is determined that the road surface has been detected next after detecting the height of the vehicle 30 based on the height information input from the passing side detection device 22, and the time It determines that the feature detection time tn 8 a.
また測定対象物測定装置10は、通過側検出装置22より入力した反射光量に基づいて、時刻tn3に道路の反射光量から所定の閾値以上変化した反射光量m1を検出したと判定する。また測定対象物測定装置10は反射光量m1よりも所定の閾値以上光量の変化した反射光量n1を時刻tn4に検出したと判定する。また測定対象物測定装置10は反射光量n1よりも所定の閾値以上光量の変化した反射光量o1を時刻tn5に検出したと判定する。すると、測定対象物測定装置10は、通過側検出装置22より入力した反射光量に基づいて、先に検出していた反射光量よりも所定の閾値以上光量の変化した反射光量m1,n1,o1の各特徴それぞれを初めて検出した各時刻を、特徴検出時刻tn3、特徴検出時刻tn4、特徴検出時刻tn5と特定する。
なお、時刻の関係は、特徴検出時刻tn3<特徴検出時刻tn4<特徴検出時刻tn5<特徴検出時刻tn6<特徴検出時刻tn7<特徴検出時刻tn8、であるとする。 The measuringobject measuring device 10 determines that based on the amount of reflected light input from the pass side detector 22, detects the reflected light amount m1 has changed more than a predetermined threshold value from the reflected light amount of the road at the time tn 3. The measuring object measuring device 10 determines that it has detected the time tn 4 the reflected light quantity n1 has changed the predetermined threshold value or higher amount than the amount of reflected light m1. The measuring object measuring device 10 determines that it has detected the time tn 5 the amount of reflected light o1 that the variation of the predetermined threshold value or higher amount than the amount of reflected light n1. Then, the measurement object measuring apparatus 10 uses the reflected light amounts m1, n1, and o1 whose light amounts have changed by a predetermined threshold or more than the previously detected reflected light amount based on the reflected light amount input from the passage side detection device 22. Each time when each feature is detected for the first time is identified as feature detection time tn 3 , feature detection time tn 4 , and feature detection time tn 5 .
The time relationship is assumed to be feature detection time tn 3 <feature detection time tn 4 <feature detection time tn 5 <feature detection time tn 6 <feature detection time tn 7 <feature detection time tn 8 .
なお、時刻の関係は、特徴検出時刻tn3<特徴検出時刻tn4<特徴検出時刻tn5<特徴検出時刻tn6<特徴検出時刻tn7<特徴検出時刻tn8、であるとする。 The measuring
The time relationship is assumed to be feature detection time tn 3 <feature detection time tn 4 <feature detection time tn 5 <feature detection time tn 6 <feature detection time tn 7 <feature detection time tn 8 .
そして、測定対象物測定装置10は、進入側検出装置21や通過側検出装置22より入力した高さ情報によって特定した特徴検出時刻と、進入側検出装置21と通過側検出装置22の設置間隔Dに基づいて、進入側検出装置21または通過側検出装置22の何れか一方または両方における特徴検出時刻での車両30の速度を、高さ情報の対応関係ごとに算出する。つまり、測定対象物測定装置10は、高さ情報A1については、その特徴検出時刻の差(tn3-t3)と設置間隔Dとを用いて、「車両30の速度V1=D÷(tn3-t3)」により算出する。また測定対象物測定装置10は、高さ情報B1については、その特徴検出時刻の差(tn6-t11)と設置間隔Dとを用いて、「車両30の速度V2=D÷(tn6-t11)」により算出する。また測定対象物測定装置10は、高さ情報C1については、その特徴検出時刻の差(tn7-t23)と設置間隔Dとを用いて、「車両30の速度V3=D÷(tn7-t23)」により算出する。また測定対象物測定装置10は、進入側検出装置21と通過側検出装置22とで路面が検出された特徴検出時刻の差(tn8-t30)と設置間隔Dとを用いて、「車両30の速度V7=D÷(tn8-t30)」により算出する。
Then, the measuring object measuring device 10 includes the feature detection time specified by the height information input from the approach side detection device 21 and the passage side detection device 22, and the installation interval D between the approach side detection device 21 and the passage side detection device 22. Based on the above, the speed of the vehicle 30 at the feature detection time in either one or both of the approach side detection device 21 and the passage side detection device 22 is calculated for each correspondence relationship of the height information. In other words, the measuring object measuring apparatus 10 uses the difference in the characteristic detection times (tn 3 -t3) and the installation interval D for the height information A1, and determines that "the speed V1 of the vehicle 30 = D ÷ (tn 3 -T3) ". Further, the measuring object measuring apparatus 10 uses the difference in the characteristic detection times (tn 6 -t11) and the installation interval D for the height information B1, and determines "the speed V2 of the vehicle 30 = D ÷ (tn 6- t11) ". The measuring object measuring device 10, for height information C1, by using the the installation distance D difference between the feature detection time (tn 7 -t23), speed V3 = D ÷ a "vehicle 30 (tn 7 - t23) ". Further, the measuring object measuring apparatus 10 uses the difference between the characteristic detection times (tn 8 -t30) when the road surface is detected by the approach-side detection apparatus 21 and the passage-side detection apparatus 22 and the installation interval D, and the “vehicle 30 Speed V7 = D ÷ (tn 8 −t30) ”.
また、測定対象物測定装置10は、進入側検出装置21や通過側検出装置22より入力した反射光量によって特定した特徴検出時刻と、進入側検出装置21と通過側検出装置22の設置間隔Dに基づいて、進入側検出装置21または通過側検出装置22の何れか一方または両方における特徴検出時刻での車両30の速度を、反射光量の変化の対応関係ごとに算出する。つまり、測定対象物測定装置10は、反射光量m1については、その特徴検出時刻の差(tn3-t3)と設置間隔Dとを用いて、「車両30の速度V4=D÷(tn3-t3)」により算出する。また測定対象物測定装置10は、反射光量n1については、その特徴検出時刻の差(tn4-tn1)と設置間隔Dとを用いて、「車両30の速度V5=D÷(tn4-tn1)」により算出する。また測定対象物測定装置10は、反射光量o1については、その特徴検出時刻の差(tn5-tn2)と設置間隔Dとを用いて、「車両30の速度V6=D÷(tn5-tn2)」により算出する。
なお、本実施形態においては、高さ情報A1によって特定した特徴検出時刻を用いて算出した速度V1と、反射光量m1によって特定した特徴検出時刻を用いて算出した速度V4とは、同じ特徴検出時刻を用いて算出しているため、一致する。従って速度V4については以降、処理に用いないこととする。 In addition, the measurementobject measuring apparatus 10 determines the feature detection time specified by the amount of reflected light input from the approach side detection device 21 or the passage side detection device 22 and the installation interval D between the approach side detection device 21 and the passage side detection device 22. Based on this, the speed of the vehicle 30 at the feature detection time in either one or both of the entry side detection device 21 and the passage side detection device 22 is calculated for each correspondence of the change in the amount of reflected light. In other words, the measurement object measuring apparatus 10 uses the difference in characteristic detection time (tn 3 −t3) and the installation interval D for the reflected light amount m1, and “the speed of the vehicle 30 V4 = D ÷ (tn 3 − t3) ". Further, the measurement object measuring apparatus 10 uses the difference in the characteristic detection time (tn 4 −tn 1 ) and the installation interval D for the reflected light amount n 1 , “Vehicle 30 speed V 5 = D ÷ (tn 4 − tn 1 ) ". Further, the measurement object measuring apparatus 10 uses the difference in characteristic detection time (tn 5 −tn 2 ) and the installation interval D for the reflected light amount o 1 , “Vehicle 30 speed V 6 = D ÷ (tn 5 − tn 2 ) ".
In this embodiment, the speed V1 calculated using the feature detection time specified by the height information A1 and the speed V4 calculated using the feature detection time specified by the reflected light amount m1 are the same feature detection time. Since they are calculated using Therefore, the speed V4 will not be used for the processing thereafter.
なお、本実施形態においては、高さ情報A1によって特定した特徴検出時刻を用いて算出した速度V1と、反射光量m1によって特定した特徴検出時刻を用いて算出した速度V4とは、同じ特徴検出時刻を用いて算出しているため、一致する。従って速度V4については以降、処理に用いないこととする。 In addition, the measurement
In this embodiment, the speed V1 calculated using the feature detection time specified by the height information A1 and the speed V4 calculated using the feature detection time specified by the reflected light amount m1 are the same feature detection time. Since they are calculated using Therefore, the speed V4 will not be used for the processing thereafter.
そして、以上の処理により測定対象物測定装置10は、高さ情報A1が検出された特徴検出時刻を用いて算出した速度V1、高さ情報B1が検出された特徴検出時刻を用いて算出した速度V2、高さ情報C1が検出された特徴検出時刻を用いて算出した速度V3、反射光量n1が検出された特徴検出時刻を用いて算出した速度V5、反射光量o1が検出された特徴検出時刻を用いて算出した速度V6、路面が検出された特徴検出時刻を用いて算出した速度V7が算出される。
And by the above process, the measuring object measuring apparatus 10 uses the speed V1 calculated using the feature detection time when the height information A1 is detected, and the speed calculated using the feature detection time when the height information B1 is detected. V2, velocity V3 calculated using the feature detection time when the height information C1 was detected, velocity V5 calculated using the feature detection time when the reflected light amount n1 was detected, and feature detection time when the reflected light amount o1 was detected A speed V6 calculated using the feature detection time at which the road surface is detected and a speed V7 calculated using the road surface are calculated.
図9は、各特徴検出時刻と特徴検出時刻を用いて算出した速度との関係を示す図である。
図9は、高さ情報A1が検出された特徴検出時刻t3とその特徴検出時刻t3を用いて測定対象物測定装置10が算出した速度V1との関係、
反射光量n1が検出された特徴検出時刻tn1とその特徴検出時刻tn1を用いて測定対象物測定装置10が算出した速度V5との関係、
反射光量o1が検出された特徴検出時刻tn2とその特徴検出時刻tn2を用いて測定対象物測定装置10が算出した速度V6との関係、
高さ情報B1が検出された特徴検出時刻t11とその特徴検出時刻t11を用いて測定対象物測定装置10が算出した速度V2との関係、
高さ情報C1が検出された特徴検出時刻t23とその特徴検出時刻t23を用いて測定対象物測定装置10が算出した速度V3との関係、
路面が検出された特徴検出時刻t30とその特徴検出時刻t30を用いて測定対象物測定装置10が算出した速度V7との関係、
を示している。 FIG. 9 is a diagram illustrating the relationship between each feature detection time and the speed calculated using the feature detection time.
FIG. 9 shows the relationship between the feature detection time t3 when the height information A1 is detected and the velocity V1 calculated by the measurementobject measuring apparatus 10 using the feature detection time t3.
The relationship between the feature detection time tn 1 at which the reflected light amount n1 was detected and the velocity V5 calculated by the measurementobject measuring device 10 using the feature detection time tn 1 ;
The relationship between the feature detection time tn 2 at which the reflected light amount o1 is detected and the velocity V6 calculated by the measurementobject measuring apparatus 10 using the feature detection time tn 2 ;
The relationship between the feature detection time t11 when the height information B1 is detected and the velocity V2 calculated by the measurementobject measuring apparatus 10 using the feature detection time t11;
The relationship between the feature detection time t23 when the height information C1 is detected and the velocity V3 calculated by the measurementobject measuring apparatus 10 using the feature detection time t23;
The relationship between the feature detection time t30 when the road surface is detected and the velocity V7 calculated by the measurementobject measuring apparatus 10 using the feature detection time t30.
Is shown.
図9は、高さ情報A1が検出された特徴検出時刻t3とその特徴検出時刻t3を用いて測定対象物測定装置10が算出した速度V1との関係、
反射光量n1が検出された特徴検出時刻tn1とその特徴検出時刻tn1を用いて測定対象物測定装置10が算出した速度V5との関係、
反射光量o1が検出された特徴検出時刻tn2とその特徴検出時刻tn2を用いて測定対象物測定装置10が算出した速度V6との関係、
高さ情報B1が検出された特徴検出時刻t11とその特徴検出時刻t11を用いて測定対象物測定装置10が算出した速度V2との関係、
高さ情報C1が検出された特徴検出時刻t23とその特徴検出時刻t23を用いて測定対象物測定装置10が算出した速度V3との関係、
路面が検出された特徴検出時刻t30とその特徴検出時刻t30を用いて測定対象物測定装置10が算出した速度V7との関係、
を示している。 FIG. 9 is a diagram illustrating the relationship between each feature detection time and the speed calculated using the feature detection time.
FIG. 9 shows the relationship between the feature detection time t3 when the height information A1 is detected and the velocity V1 calculated by the measurement
The relationship between the feature detection time tn 1 at which the reflected light amount n1 was detected and the velocity V5 calculated by the measurement
The relationship between the feature detection time tn 2 at which the reflected light amount o1 is detected and the velocity V6 calculated by the measurement
The relationship between the feature detection time t11 when the height information B1 is detected and the velocity V2 calculated by the measurement
The relationship between the feature detection time t23 when the height information C1 is detected and the velocity V3 calculated by the measurement
The relationship between the feature detection time t30 when the road surface is detected and the velocity V7 calculated by the measurement
Is shown.
測定対象物測定装置10は、図8で示す特徴検出時刻とその特徴検出時刻を用いて測定対象物測定装置10が算出した速度との関係を表す式を、t3~t30まで積分することで、車両30の車長を算出することができる。
このように、測定対象物測定装置10は、測定対象物である車両30の幾何学的特徴(高さ情報による特徴)と、光学的特徴(反射光量)の、各特徴を検出した特徴検出時刻それぞれにおける各速度を用いて、車両30の車長Lを算出する。 The measurementobject measurement apparatus 10 integrates an expression representing the relationship between the feature detection time shown in FIG. 8 and the speed calculated by the measurement object measurement apparatus 10 using the feature detection time from t3 to t30. The vehicle length of the vehicle 30 can be calculated.
As described above, the measurementobject measuring apparatus 10 detects the feature detection time when each of the geometric feature (feature based on the height information) and the optical feature (reflected light amount) of the vehicle 30 that is the measurement target is detected. The vehicle length L of the vehicle 30 is calculated using each speed.
このように、測定対象物測定装置10は、測定対象物である車両30の幾何学的特徴(高さ情報による特徴)と、光学的特徴(反射光量)の、各特徴を検出した特徴検出時刻それぞれにおける各速度を用いて、車両30の車長Lを算出する。 The measurement
As described above, the measurement
ここで、通常、車両30の車長を算出する場合には、進入側検出装置21における車両30の検出時刻T1と、進入側検出装置21における車両30の通過時刻(検出終了時刻)T2および、車両30が進入側検出装置21で検出されてから通過側検出装置22で検出されるまでの時間間隔tと、進入側検出装置21と通過側検出装置22の設置間隔をDとを用いると、車両30の速度vはv=D÷tで算出されるので、
車両30の車長L=(D÷t)・(T2-T1)
の式を用いて算出することができる。
しかしながら、このような式により算出した車長Lは、車両30の速度vで等速運動をしている場合にはほぼ正しい値となるが、進入側検出装置21と通過側検出装置22の間で速度を変化させながら通過する場合には、正確な値とならない。 Here, normally, when calculating the vehicle length of thevehicle 30, the detection time T1 of the vehicle 30 in the entry side detection device 21, the passage time (detection end time) T2 of the vehicle 30 in the entry side detection device 21, and When the time interval t from when the vehicle 30 is detected by the approach side detection device 21 until it is detected by the passage side detection device 22 and the installation interval between the approach side detection device 21 and the passage side detection device 22 are D, Since the speed v of the vehicle 30 is calculated by v = D ÷ t,
The length of the vehicle 30 L = (D ÷ t) · (T2-T1)
It can be calculated using the following formula.
However, the vehicle length L calculated by such an expression is almost correct when thevehicle 30 is moving at a constant speed v, but the distance between the approach side detection device 21 and the passage side detection device 22 is approximately the same. If you pass while changing the speed at, it will not be an accurate value.
車両30の車長L=(D÷t)・(T2-T1)
の式を用いて算出することができる。
しかしながら、このような式により算出した車長Lは、車両30の速度vで等速運動をしている場合にはほぼ正しい値となるが、進入側検出装置21と通過側検出装置22の間で速度を変化させながら通過する場合には、正確な値とならない。 Here, normally, when calculating the vehicle length of the
The length of the vehicle 30 L = (D ÷ t) · (T2-T1)
It can be calculated using the following formula.
However, the vehicle length L calculated by such an expression is almost correct when the
従って、本実施形態による測定対象物測定装置10が行うように、多くの特徴検出時刻における車両30の速度Vを用いて、時間経過に応じた速度の変化を考慮した車長Lの算出を行い、これにより精度良く車両30の車長Lを算出することができる。なお、車両30の特徴が多いほど算出する車長Lの精度は増すため、幾何学的特徴だけでなく、光学的特徴を用いている。光学的特徴を用いることで、幾何学的特徴、例えば車高などの変化量の少ないバスなどのボックスタイプの車両30であっても、その車両部位の材質等の変化により反射光量が変化するので、より多くの特徴点変化を検出することができ、車両30の車速や車長Lをより正確に測定することができる。
Therefore, as the measurement object measuring apparatus 10 according to the present embodiment performs, the vehicle length L is calculated in consideration of the change in speed according to the passage of time using the speed V of the vehicle 30 at many feature detection times. Thus, the vehicle length L of the vehicle 30 can be calculated with high accuracy. Since the accuracy of the vehicle length L to be calculated increases as the number of features of the vehicle 30 increases, not only geometric features but also optical features are used. By using optical features, even in a box type vehicle 30 such as a bus with a small amount of change in geometric features such as vehicle height, the amount of reflected light changes due to changes in the material of the vehicle part. More characteristic point changes can be detected, and the vehicle speed and the vehicle length L of the vehicle 30 can be measured more accurately.
次に、本実施形態による測定対象物測定装置10の処理フローについて説明する。
図10は本実施形態による測定対象物測定装置の処理フローを示す図である。
検出信号抽出部18は、高さ情報,反射光量,検出時刻等を含む検出信号を、時間の経過にともない、所定の時間間隔で順次入力する(ステップS101)。そして上述したように、検出信号抽出部18は、進入側検出装置21または通過側検出装置22から入力した検出信号から、高さ情報,反射光量,検出時刻を読み取って、高さ情報と検出時刻およびそれらを検出した検出装置の識別番号(進入側検出装置21または通過側検出装置22の何れかを識別する識別番号)との組合せの情報を高さ対応関係判定部13へ出力する。
また入力部11は、入力した検出信号から、高さ情報,反射光量,検出時刻を読み取って、反射光量と検出時刻およびそれらを検出した検出装置の識別番号(進入側検出装置21または通過側検出装置22の何れかを識別する識別番号)との組合せの情報を信号強度対応関係判定部14へ出力する。 Next, a processing flow of the measuringobject measuring apparatus 10 according to the present embodiment will be described.
FIG. 10 is a diagram showing a processing flow of the measuring object measuring apparatus according to the present embodiment.
The detectionsignal extraction unit 18 sequentially inputs detection signals including height information, reflected light amount, detection time, etc. at predetermined time intervals as time passes (step S101). As described above, the detection signal extraction unit 18 reads the height information, the amount of reflected light, and the detection time from the detection signal input from the entry side detection device 21 or the passage side detection device 22 to obtain the height information and the detection time. And the information of the combination with the identification number (identification number which identifies either the approach side detection apparatus 21 or the passage side detection apparatus 22) of the detection apparatus which detected them is output to the height corresponding | compatible relationship determination part 13. FIG.
Theinput unit 11 reads the height information, the reflected light amount, and the detection time from the input detection signal, and the reflected light amount, the detection time, and the identification number of the detection device that detects them (the entry side detection device 21 or the passage side detection). The information of the combination with the identification number for identifying one of the devices 22 is output to the signal strength correspondence determining unit 14.
図10は本実施形態による測定対象物測定装置の処理フローを示す図である。
検出信号抽出部18は、高さ情報,反射光量,検出時刻等を含む検出信号を、時間の経過にともない、所定の時間間隔で順次入力する(ステップS101)。そして上述したように、検出信号抽出部18は、進入側検出装置21または通過側検出装置22から入力した検出信号から、高さ情報,反射光量,検出時刻を読み取って、高さ情報と検出時刻およびそれらを検出した検出装置の識別番号(進入側検出装置21または通過側検出装置22の何れかを識別する識別番号)との組合せの情報を高さ対応関係判定部13へ出力する。
また入力部11は、入力した検出信号から、高さ情報,反射光量,検出時刻を読み取って、反射光量と検出時刻およびそれらを検出した検出装置の識別番号(進入側検出装置21または通過側検出装置22の何れかを識別する識別番号)との組合せの情報を信号強度対応関係判定部14へ出力する。 Next, a processing flow of the measuring
FIG. 10 is a diagram showing a processing flow of the measuring object measuring apparatus according to the present embodiment.
The detection
The
これにより高さ対応関係判定部13は、図8で示す「進入側検出装置21より入力した情報」のデータ例における高さ情報と検出時刻に対応する各情報と、「通過側検出装置22より入力した情報」のデータ例における高さ情報と検出時刻に対応する各情報と、を入力する。
また信号強度対応関係判定部14は、図8で示す「進入側検出装置21より入力した情報」のデータ例における反射光量と検出時刻に対応する各情報と、「通過側検出装置22より入力した情報」のデータ例における反射光量と検出時刻に対応する各情報と、を入力する。 As a result, the heightcorrespondence determination unit 13 obtains the height information in the data example “information input from the approaching side detection device 21” shown in FIG. In the data example “input information”, the height information and each information corresponding to the detection time are input.
The signal intensitycorrespondence determining unit 14 also includes information corresponding to the amount of reflected light and the detection time in the data example “information input from the entry side detection device 21” illustrated in FIG. Each information corresponding to the amount of reflected light and the detection time in the “information” data example is input.
また信号強度対応関係判定部14は、図8で示す「進入側検出装置21より入力した情報」のデータ例における反射光量と検出時刻に対応する各情報と、「通過側検出装置22より入力した情報」のデータ例における反射光量と検出時刻に対応する各情報と、を入力する。 As a result, the height
The signal intensity
そして、高さ対応関係判定部13は、進入側検出装置21から送信された検出信号に含まれる高さ情報を入力するたびに、例えば1つ前に入力した高さ情報(進入側検出装置21から送信された検出信号に含まれる高さ情報)と比較して閾値以上変化したかを判定する。そして、高さ対応関係判定部13は、高さ情報の変化が閾値以内となる高さ情報を所定の回数以上続けて入力した場合、その閾値以内に収まる各高さ情報のうち、最も早く入力した高さ情報に対応する検出時刻を、その高さ情報を進入側検出装置21において最初に検出した特徴検出時刻と判定する(ステップS102)。図8の例においては高さ情報A1を進入側検出装置21において最初に検出した時刻を特徴検出時刻t3と判定する。
また同様に、高さ情報B1を進入側検出装置21において最初に検出した時刻を特徴検出時刻t11と、高さ情報C1を進入側検出装置21において最初に検出した時刻を特徴検出時刻t23と、その後、路面の高さ情報を進入側検出装置21において最初に検出した時刻を特徴検出時刻t30と判定する。なお路面の高さを最初に検出した特徴検出時刻は、車両30の最後尾の高さ情報を最後に検出した時刻に一致するものとなる。 And whenever the height corresponding |compatible determination part 13 inputs the height information contained in the detection signal transmitted from the approach side detection apparatus 21, for example, the height information (entrance side detection apparatus 21 previously input) is input. (Height information included in the detection signal transmitted from) to determine whether or not the threshold value has changed. Then, when the height information whose change in height information is within the threshold is continuously input for a predetermined number of times or more, the height correspondence determination unit 13 inputs the earliest among the pieces of height information that fall within the threshold. The detection time corresponding to the height information thus determined is determined as the feature detection time at which the height information is first detected by the approach side detection device 21 (step S102). In the example of FIG. 8, the time when the height information A1 is first detected by the approach side detection device 21 is determined as the feature detection time t3.
Similarly, the time when the height information B1 is first detected by the approach side detection device 21 is the feature detection time t11, and the time when the height information C1 is first detected by the approach side detection device 21 is the feature detection time t23. Thereafter, the time at which the road surface height information is first detected by the approach side detection device 21 is determined as the feature detection time t30. The feature detection time when the road surface height is first detected coincides with the time when the last height information of thevehicle 30 is detected last.
また同様に、高さ情報B1を進入側検出装置21において最初に検出した時刻を特徴検出時刻t11と、高さ情報C1を進入側検出装置21において最初に検出した時刻を特徴検出時刻t23と、その後、路面の高さ情報を進入側検出装置21において最初に検出した時刻を特徴検出時刻t30と判定する。なお路面の高さを最初に検出した特徴検出時刻は、車両30の最後尾の高さ情報を最後に検出した時刻に一致するものとなる。 And whenever the height corresponding |
Similarly, the time when the height information B1 is first detected by the approach side detection device 21 is the feature detection time t11, and the time when the height information C1 is first detected by the approach side detection device 21 is the feature detection time t23. Thereafter, the time at which the road surface height information is first detected by the approach side detection device 21 is determined as the feature detection time t30. The feature detection time when the road surface height is first detected coincides with the time when the last height information of the
また同様に、高さ対応関係判定部13は、通過側検出装置22から送信された検出信号に含まれる高さ情報を入力するたびに、例えば1つ前に入力した高さ情報(通過側検出装置22から送信された検出信号に含まれる高さ情報)と比較して閾値以上変化したかを判定する。そして、高さ対応関係判定部13は、高さ情報の変化が閾値以内となる高さ情報を所定の回数以上続けて入力した場合、その閾値以内に収まる各高さ情報のうち、最も早く入力した高さ情報に対応する検出時刻を、その高さ情報を通過側検出装置22において最初に検出した特徴検出時刻と判定する(ステップS103)。図8の例においては高さ情報A1を通過側検出装置22において最初に検出した時刻を特徴検出時刻tn3と判定する。また同様に、高さ情報B1を通過側検出装置22において最初に検出した時刻を特徴検出時刻tn6と、高さ情報C1を通過側検出装置22において最初に検出した時刻を特徴検出時刻tn7と、その後、路面の高さ情報を通過側検出装置22において最初に検出した時刻を特徴検出時刻tn8と判定する。
Similarly, each time the height correspondence determination unit 13 inputs the height information included in the detection signal transmitted from the passage side detection device 22, for example, the height information (passage side detection) that has been input one time before is input. It is determined whether or not the threshold value has changed by more than a threshold value compared with height information included in the detection signal transmitted from the device 22. Then, when the height information whose change in height information is within the threshold is continuously input for a predetermined number of times or more, the height correspondence determination unit 13 inputs the earliest among the pieces of height information that fall within the threshold. The detection time corresponding to the height information is determined as the feature detection time at which the height information is first detected by the passage side detection device 22 (step S103). Determines that the feature detection time tn 3 initially detected time in the pass-side detecting device 22 the height information A1 in the example of FIG. 8. Similarly, the time at which the height information B1 is first detected by the passage side detection device 22 is the feature detection time tn 6 and the time at which the height information C1 is first detected by the passage side detection device 22 is the feature detection time tn 7. Then, the time when the road surface height information is first detected by the passage side detection device 22 is determined as the feature detection time tn 8 .
そして、高さ対応関係判定部13は、進入側検出装置21について判定した特徴検出時刻t3,特徴検出時刻t11,特徴検出時刻t23,特徴検出時刻t30と、通過側検出装置22について判定した特徴検出時刻tn3,特徴検出時刻tn6,特徴検出時刻tn7,特徴検出時刻tn8を、それら検出時刻に対応する高さ情報の値に基づいて、車両30の同一部位を示す高さ情報の対応関係ごとに分類する(ステップS104)。つまり、高さ対応関係判定部13は、特徴検出時刻t3に進入側検出装置21で検出した高さ情報の値と、特徴検出時刻tn3に通過側検出装置22で検出した高さ情報の値の差が閾値以下であるため、同じ分類と判定する。そして高さ対応関係判定部13は、特徴検出時刻t3と、当該特徴検出時刻t3に進入側検出装置21で検出した高さ情報A1、また、特徴検出時刻tn3と、特徴検出時刻tn3に通過側検出装置22で検出した高さ情報A1とを、同じ分類に属する分類情報として対応付けて、第2速度算出部15に備わるキューに書き込む。
Then, the height correspondence determination unit 13 determines the feature detection time t3, the feature detection time t11, the feature detection time t23, and the feature detection time t30 determined for the approach side detection device 21, and the feature detection determined for the passage side detection device 22. Correspondence of height information indicating the same part of the vehicle 30 based on the value of height information corresponding to the time tn 3 , feature detection time tn 6 , feature detection time tn 7 , and feature detection time tn 8. Classification is made for each relationship (step S104). In other words, the height correspondence determining unit 13 compares the value of the height information detected by the feature detection time t3 the entrance side detector 21, the value of the height detected by the passage-side detection device 22 in the feature detection time tn 3 Since the difference is less than or equal to the threshold value, it is determined that the classification is the same. The height correspondence determining unit 13, a feature detection time t3, the feature detection time t3 height information detected by the entrance side detection device 21 to A1, also a feature detection time tn 3, the feature detection time tn 3 The height information A1 detected by the passage-side detection device 22 is associated with the classification information belonging to the same classification, and is written in the queue provided in the second speed calculation unit 15.
また同様に、高さ対応関係判定部13は、特徴検出時刻t11に進入側検出装置21で検出した高さ情報の値と、特徴検出時刻tn6に通過側検出装置22で検出した高さ情報の値の差が閾値以下であるため、同じ分類と判定する。そして高さ対応関係判定部13は、特徴検出時刻t11と、当該特徴検出時刻t11に進入側検出装置21で検出した高さ情報B1、また、特徴検出時刻tn6と、特徴検出時刻tn6に通過側検出装置22で検出した高さ情報B1とを、同じ分類に属する分類情報として対応付けて、第2速度算出部15に備わるキューに書き込む。
また同様に、高さ対応関係判定部13は、特徴検出時刻t23に進入側検出装置21で検出した高さ情報の値と、特徴検出時刻tn7に通過側検出装置22で検出した高さ情報の値の差が閾値以下であるため、同じ分類と判定する。そして高さ対応関係判定部13は、特徴検出時刻t23と、当該特徴検出時刻t23に進入側検出装置21で検出した高さ情報C1、また、特徴検出時刻tn7と、特徴検出時刻tn7に通過側検出装置22で検出した高さ情報C1とを、同じ分類に属する分類情報として対応付けて、第2速度算出部15に備わるキューに書き込む。 Similarly, the heightcorrespondence determination unit 13 determines the height information value detected by the approach side detection device 21 at the feature detection time t11 and the height information detected by the passage side detection device 22 at the feature detection time tn 6. Since the difference between the values is equal to or less than the threshold value, the same classification is determined. The height correspondence determining unit 13, a feature detection time t11, the feature detection time t11 height information detected by the entrance side detection device 21 to B1, also a feature detection time tn 6, the feature detection time tn 6 The height information B1 detected by the passage side detection device 22 is associated with the classification information belonging to the same classification, and is written in a queue provided in the second speed calculation unit 15.
Similarly, the heightcorrespondence determining unit 13 compares the value of the height detected by the entrance side detection device 21 in the feature detection time t23, the height information detected by the passage-side detection device 22 in the feature detection time tn 7 Since the difference between the values is equal to or less than the threshold value, the same classification is determined. The height correspondence determining unit 13, a feature detection time t23, the feature detection time t23 the entrance side detector 21 height information C1 detected in addition, a feature detection time tn 7, the feature detection time tn 7 The height information C1 detected by the passage side detection device 22 is associated with the classification information belonging to the same classification, and is written in the queue provided in the second speed calculation unit 15.
また同様に、高さ対応関係判定部13は、特徴検出時刻t23に進入側検出装置21で検出した高さ情報の値と、特徴検出時刻tn7に通過側検出装置22で検出した高さ情報の値の差が閾値以下であるため、同じ分類と判定する。そして高さ対応関係判定部13は、特徴検出時刻t23と、当該特徴検出時刻t23に進入側検出装置21で検出した高さ情報C1、また、特徴検出時刻tn7と、特徴検出時刻tn7に通過側検出装置22で検出した高さ情報C1とを、同じ分類に属する分類情報として対応付けて、第2速度算出部15に備わるキューに書き込む。 Similarly, the height
Similarly, the height
また同様に、高さ対応関係判定部13は、特徴検出時刻t30に進入側検出装置21で検出した高さ情報(路面)の値と、特徴検出時刻tn8に通過側検出装置22で検出した高さ情報(路面)の値の差が閾値以下であるため、同じ分類と判定する。そして高さ対応関係判定部13は、特徴検出時刻t30と、当該特徴検出時刻t30に進入側検出装置21で検出した路面高さ、また、特徴検出時刻tn8と、特徴検出時刻tn8に通過側検出装置22で検出した路面高さとを、同じ分類に属する分類情報として対応付けて、第2速度算出部15に備わるキューに書き込む。
Similarly, the height correspondence determination unit 13 detects the value of the height information (road surface) detected by the approach side detection device 21 at the feature detection time t30 and the passage side detection device 22 at the feature detection time tn 8 . Since the difference in the value of the height information (road surface) is equal to or less than the threshold value, the classification is determined to be the same. The height correspondence determining unit 13, a feature detection time t30, the feature detection time t30 the entrance side detection device 21 with the detected road surface height, also a feature detection time tn 8, passed through a feature detection time tn 8 The road surface height detected by the side detection device 22 is associated with classification information belonging to the same classification, and written in a queue provided in the second speed calculation unit 15.
そして、高さ対応関係判定部13は、上述のように、進入側検出装置21や通過側検出装置22で検出した高さ情報に基づく特徴検出時刻の判定と、特徴検出時刻の分類とを繰り返す。そして高さ対応関係判定部13は、入力した高さ情報と、予め記憶する道路の高さとを比較して、入力した高さ情報が道路の高さであると判定した場合には、車両30が進入側検出装置21と通過側検出装置22を通過したことを示す車両通過情報を、第2速度算出部15と第1速度算出部16に備わるキューに書き込む。
Then, the height correspondence determination unit 13 repeats the determination of the feature detection time based on the height information detected by the approach side detection device 21 and the passage side detection device 22 and the classification of the feature detection time as described above. . The height correspondence determination unit 13 compares the input height information with the road height stored in advance, and determines that the input height information is the road height. Vehicle passing information indicating that the vehicle has passed through the approach side detection device 21 and the passage side detection device 22 is written in a queue provided in the second speed calculation unit 15 and the first speed calculation unit 16.
次に、第2速度算出部15は、キューから最初の分類情報を読み出す。当該分類情報には、特徴検出時刻t3と、当該特徴検出時刻t3に進入側検出装置21で検出した高さ情報A1、また、特徴検出時刻tn3と、特徴検出時刻tn3に通過側検出装置22で検出した高さ情報A1とが格納されている。そして第2速度算出部15は、読み出した分類情報に含まれる特徴検出時刻t3と特徴検出時刻tn3とを取得し、それら取得した時刻と設置間隔Dとを用いて、特徴検出時刻t3または特徴検出時刻tn3における車両30の速度V1を、V1=D÷(tn3-t3)により算出し(ステップS105)、特徴検出時刻t3または特徴検出時刻tn3の何れか一方と対応付けて、長さ算出部17に備わるキューに書き込む。本実施形態においては、速度V1と特徴検出時刻t3とを対応付けて、長さ算出部17に備わるキューに書き込むとする。
Next, the second speed calculation unit 15 reads the first classification information from the queue. The Classification information, wherein detection time t3, the feature detection time t3 height information detected by the entrance side detection device 21 to A1, also a feature detection time tn 3, the feature detection time tn 3 to the passage side detection device The height information A1 detected at 22 is stored. Then, the second speed calculation unit 15 acquires the feature detection time t3 and the feature detection time tn 3 included in the read classification information, and uses the acquired time and the installation interval D to detect the feature detection time t3 or the feature. The speed V1 of the vehicle 30 at the detection time tn 3 is calculated by V1 = D ÷ (tn 3 −t3) (step S105), and is associated with either the feature detection time t3 or the feature detection time tn 3 and is long. The data is written in the queue provided in the length calculation unit 17. In the present embodiment, it is assumed that the speed V1 and the feature detection time t3 are associated with each other and written to a queue provided in the length calculation unit 17.
ここで、第2速度算出部15は、次にキューから読み出した情報が車両通過情報であるかを判定する(ステップS106)。そして、車両通過情報でない場合には、分類情報に含まれる特徴検出時刻を用いた車両30の速度の算出を繰り返す。つまり、第2速度算出部15は、キューから次の分類情報を読み出す。当該分類情報には、特徴検出時刻t11と、当該特徴検出時刻t11に進入側検出装置21で検出した高さ情報B1、また、特徴検出時刻tn6と、特徴検出時刻tn6に通過側検出装置22で検出した高さ情報B1とが格納されている。そして第2速度算出部15は、読み出した分類情報に含まれる特徴検出時刻t11と特徴検出時刻tn6とを取得し、それら取得した時刻と設置間隔Dとを用いて、特徴検出時刻t11または特徴検出時刻tn6における車両30の速度V2を、V2=D÷(tn6-t11)により算出し、特徴検出時刻t11または特徴検出時刻tn6の何れか一方と対応付けて、長さ算出部17に備わるキューに書き込む。本実施形態においては、速度V2と特徴検出時刻t11とを対応付けて、長さ算出部17に備わるキューに書き込むとする。
Here, the second speed calculation unit 15 determines whether the information read from the queue next is vehicle passage information (step S106). If it is not vehicle passage information, the calculation of the speed of the vehicle 30 using the feature detection time included in the classification information is repeated. That is, the second speed calculation unit 15 reads the next classification information from the queue. The Classification information, wherein detection time t11, the feature detection time t11 height information detected by the entrance side detection device 21 to B1, also a feature detection time tn 6, the feature detection time tn 6 to the passage side detection device The height information B1 detected at 22 is stored. Then, the second speed calculation unit 15 acquires the feature detection time t11 and the feature detection time tn 6 included in the read classification information, and uses the acquired time and the installation interval D to detect the feature detection time t11 or the feature. The speed V2 of the vehicle 30 at the detection time tn 6 is calculated by V2 = D ÷ (tn 6 −t11), and is associated with either the feature detection time t11 or the feature detection time tn 6 and the length calculation unit 17 Write to queue in In the present embodiment, it is assumed that the speed V2 and the feature detection time t11 are associated with each other and written to a queue provided in the length calculation unit 17.
また、同様に、第2速度算出部15は、キューから次の分類情報を読み出す。当該分類情報には、特徴検出時刻t23と、当該特徴検出時刻t23に進入側検出装置21で検出した高さ情報C1、また、特徴検出時刻tn7と、特徴検出時刻tn7に通過側検出装置22で検出した高さ情報C1とが格納されている。そして第2速度算出部15は、読み出した分類情報に含まれる特徴検出時刻t23と特徴検出時刻tn7とを取得し、それら取得した時刻と設置間隔Dとを用いて、特徴検出時刻t23または特徴検出時刻tn7における車両30の速度V3を、V3=D÷(tn7-t23)により算出し、特徴検出時刻t23または特徴検出時刻tn7の何れか一方と対応付けて、長さ算出部17に備わるキューに書き込む。本実施形態においては、速度V3と特徴検出時刻t23とを対応付けて、長さ算出部17に備わるキューに書き込むとする。
Similarly, the second speed calculation unit 15 reads the next classification information from the queue. The Classification information, wherein detection time t23, the feature detection time t23 the entrance side detector 21 height information C1 detected in addition, a feature detection time tn 7, feature detection time tn 7 to the passage side detection device The height information C1 detected at 22 is stored. The second speed calculation unit 15 acquires the feature detection time t23 and the feature detection time tn 7 included in the read classification information, and uses the acquired time and the installation interval D to detect the feature detection time t23 or the feature. The speed V3 of the vehicle 30 at the detection time tn 7 is calculated by V3 = D ÷ (tn 7 −t23), and is associated with either the feature detection time t23 or the feature detection time tn 7 , and the length calculation unit 17 Write to queue in In the present embodiment, it is assumed that the speed V3 and the feature detection time t23 are associated with each other and written to the queue provided in the length calculation unit 17.
また、同様に、第2速度算出部15は、キューから次の分類情報を読み出す。当該分類情報には、特徴検出時刻t30と、当該特徴検出時刻t30に進入側検出装置21で検出した高さ情報(路面高さ)、また、特徴検出時刻tn8と、特徴検出時刻tn8に通過側検出装置22で検出した高さ情報(路面高さ)とが格納されている。そして第2速度算出部15は、読み出した分類情報に含まれる特徴検出時刻t30と特徴検出時刻tn8とを取得し、それら取得した時刻と設置間隔Dとを用いて、特徴検出時刻t30または特徴検出時刻tn8における車両30の速度V7を、V7=D÷(tn8-t30)により算出し、特徴検出時刻t23または特徴検出時刻tn8の何れか一方と対応付けて、長さ算出部17に備わるキューに書き込む。本実施形態においては、速度V7と特徴検出時刻t30とを対応付けて、長さ算出部17に備わるキューに書き込むとする。
Similarly, the second speed calculation unit 15 reads the next classification information from the queue. To the classification information, wherein the detection time t30, height information detected by the entrance side detection device 21 on the feature detection time t30 (the road surface height), also a feature detection time tn 8, the feature detection time tn 8 The height information (road surface height) detected by the passage side detection device 22 is stored. The second speed calculation unit 15 acquires the feature detection time t30 and the feature detection time tn 8 included in the read classification information, and uses the acquired time and the installation interval D to detect the feature detection time t30 or the feature. The speed V7 of the vehicle 30 at the detection time tn 8 is calculated by V7 = D ÷ (tn 8 −t30), and is associated with either the feature detection time t23 or the feature detection time tn 8 , and the length calculation unit 17 Write to queue in In the present embodiment, it is assumed that the speed V7 and the feature detection time t30 are associated with each other and written in a queue provided in the length calculation unit 17.
そして、第2速度算出部15は、キューから車両通過情報を読み出した場合には、1つの車両30についての各特徴検出時刻を用いた速度の算出を停止して、車両通過情報を、長さ算出部17に備わるキューに書き込む。
Then, when the vehicle passage information is read from the queue, the second speed calculation unit 15 stops calculating the speed using each feature detection time for one vehicle 30 and sets the vehicle passage information to the length. Write to the queue provided in the calculation unit 17.
他方、信号強度対応関係判定部14は、進入側検出装置21から送信された検出信号に含まれる反射光量を入力するたびに、例えば1つ前に入力した反射光量(進入側検出装置21から送信された検出信号に含まれる反射光量)と比較して閾値以上変化したかを判定する。そして、信号強度対応関係判定部14は、反射光量の変化が閾値以内となる反射光量を所定の回数以上続けて入力した場合、その閾値以内に収まる各反射光量のうち、最も早く入力した反射光量に対応する検出時刻を、その反射光量を進入側検出装置21において最初に検出した特徴検出時刻と判定する(ステップS107)。図8の例においては反射光量m1を進入側検出装置21において最初に検出した時刻を特徴検出時刻t3と判定する。また同様に、反射光量n1を進入側検出装置21において最初に検出した時刻を特徴検出時刻tn1と、反射光量o1を進入側検出装置21において最初に検出した時刻を特徴検出時刻tn2と判定する。
On the other hand, whenever the signal intensity correspondence determining unit 14 inputs the reflected light amount included in the detection signal transmitted from the approach side detection device 21, for example, the previously reflected light amount (transmitted from the approach side detection device 21 is transmitted). It is determined whether or not the amount of reflected light included in the detected signal has changed by a threshold value or more. Then, when the reflected light amount whose change in reflected light amount is within the threshold value is input continuously for a predetermined number of times or more, the signal intensity correspondence determining unit 14 inputs the reflected light amount that is input earliest among the reflected light amounts that fall within the threshold value. Is determined as the feature detection time when the amount of reflected light is first detected by the approach side detection device 21 (step S107). In the example of FIG. 8, the time when the reflected light amount m1 is first detected by the approach side detection device 21 is determined as the feature detection time t3. Similarly, determine the amount of reflected light n1, wherein detection time tn 1 initially detected time the entry side detector 21, the detected first time in the entry side detecting device 21 the amount of reflected light o1, wherein detection time tn 2 To do.
また同様に、信号強度対応関係判定部14は、通過側検出装置22から送信された検出信号に含まれる反射光量を入力するたびに、例えば1つ前に入力した反射光量(通過側検出装置22から送信された検出信号に含まれる反射光量)と比較して閾値以上変化したかを判定する。そして、信号強度対応関係判定部14は、反射光量の変化が閾値以内となる反射光量を所定の回数以上続けて入力した場合、その閾値以内に収まる各反射光量のうち、最も早く入力した反射光量に対応する検出時刻を、その反射光量を通過側検出装置22において最初に検出した特徴検出時刻と判定する(ステップS108)。図8の例においては反射光量m1を通過側検出装置22において最初に検出した時刻を特徴検出時刻tn3と判定する。また同様に、反射光量n1を通過側検出装置22において最初に検出した時刻を特徴検出時刻tn4と、反射光量o1を通過側検出装置22において最初に検出した時刻を特徴検出時刻tn5と判定する。
Similarly, whenever the signal intensity correspondence determining unit 14 inputs the reflected light amount included in the detection signal transmitted from the passage side detection device 22, for example, the reflected light amount (passing side detection device 22) that was input one time before is input. (Amount of reflected light included in the detection signal transmitted from) is determined whether it has changed by a threshold value or more. Then, when the reflected light amount whose change in reflected light amount is within the threshold value is input continuously for a predetermined number of times or more, the signal intensity correspondence determining unit 14 inputs the reflected light amount that is input earliest among the reflected light amounts that fall within the threshold value. Is determined as the feature detection time when the reflected light amount is first detected by the passage side detection device 22 (step S108). It determines that the feature detection time tn 3 the first time detected in the pass side detecting device 22 reflected light amount m1 in the example of FIG. 8. Similarly, the time when the reflected light amount n1 is first detected by the passage side detection device 22 is determined as a feature detection time tn 4, and the time when the reflected light amount o1 is first detected by the passage side detection device 22 is determined as a feature detection time tn 5. To do.
そして、信号強度対応関係判定部14は、進入側検出装置21について判定した特徴検出時刻t3,特徴検出時刻tn1,特徴検出時刻tn2と、通過側検出装置22について判定した特徴検出時刻tn3,特徴検出時刻tn4,特徴検出時刻tn5を、それら検出時刻に対応する反射光量の値に基づいて、車両30の同一部位を示す反射光量の対応関係ごとに分類する(ステップS109)。つまり、信号強度対応関係判定部14は、特徴検出時刻t3に進入側検出装置21で検出した反射光量の値と、特徴検出時刻tn3に通過側検出装置22で検出した反射光量の値の差が閾値以下であるため、同じ分類と判定する。そして信号強度対応関係判定部14は、特徴検出時刻t3と、当該特徴検出時刻t3に進入側検出装置21で検出した反射光量m1、また、特徴検出時刻tn3と、特徴検出時刻tn3に通過側検出装置22で検出した反射光量m1とを、同じ分類に属する分類情報として対応付けて、第1速度算出部16に備わるキューに書き込む。
Then, the signal intensity corresponding relationship determination unit 14, the feature detection time t3 which is determined for entry side detector 21, the feature detection time tn 1, wherein the detection time tn 2, wherein the detection time tn 3 was determined for passing side detector 22 , Feature detection time tn 4 and feature detection time tn 5 are classified for each correspondence relationship of the reflected light amount indicating the same part of the vehicle 30 based on the value of the reflected light amount corresponding to the detected time (step S109). That is, the signal strength correspondence determining unit 14 compares the value of the reflected light amount detected by the entrance side detection device 21 to the feature detection time t3, the difference between the values of the reflected light amount detected by the passage-side detection device 22 in the feature detection time tn 3 Are equal to or less than the threshold value, it is determined that they are the same classification. The signal intensity correspondence determining unit 14, a feature detection time t3, the feature detection time t3 reflected light amount detected by the entrance side detection device 21 to m1, also a feature detection time tn 3, passes to the feature detection time tn 3 The reflected light amount m1 detected by the side detection device 22 is associated with the classification information belonging to the same classification, and is written in the queue provided in the first speed calculation unit 16.
また同様に、信号強度対応関係判定部14は、特徴検出時刻tn1に進入側検出装置21で検出した反射光量の値と、特徴検出時刻tn4に通過側検出装置22で検出した反射光量の値の差が閾値以下であるため、同じ分類と判定する。そして信号強度対応関係判定部14は、特徴検出時刻tn1と、当該特徴検出時刻tn1に進入側検出装置21で検出した反射光量n1、また、特徴検出時刻tn4と、特徴検出時刻tn4に通過側検出装置22で検出した反射光量n1とを、同じ分類に属する分類情報として対応付けて、第1速度算出部16に備わるキューに書き込む。
また同様に、信号強度対応関係判定部14は、特徴検出時刻tn2に進入側検出装置21で検出した反射光量の値と、特徴検出時刻tn5に通過側検出装置22で検出した反射光量の値の差が閾値以下であるため、同じ分類と判定する。そして信号強度対応関係判定部14は、特徴検出時刻tn2と、当該特徴検出時刻tn2に進入側検出装置21で検出した反射光量o1、また、特徴検出時刻tn5と、特徴検出時刻tn5に通過側検出装置22で検出した反射光量o1とを、同じ分類に属する分類情報として対応付けて、第1速度算出部16に備わるキューに書き込む。 Similarly, the signal intensitycorrespondence determining unit 14 determines the value of the reflected light amount detected by the approach side detection device 21 at the feature detection time tn 1 and the reflected light amount detected by the passage side detection device 22 at the feature detection time tn 4 . Since the difference in values is equal to or less than the threshold value, it is determined that the classifications are the same. The signal intensity correspondence determining unit 14 then detects the feature detection time tn 1 , the reflected light amount n 1 detected by the entry side detection device 21 at the feature detection time tn 1 , the feature detection time tn 4, and the feature detection time tn 4. The reflected light amount n1 detected by the passage-side detection device 22 is associated with the classification information belonging to the same classification, and written to the queue provided in the first speed calculation unit 16.
Similarly, the signal strengthcorrespondence determining unit 14 determines the value of the reflected light amount detected by the approach side detection device 21 at the feature detection time tn 2 and the reflected light amount detected by the passage side detection device 22 at the feature detection time tn 5 . Since the difference in values is equal to or less than the threshold value, it is determined that the classifications are the same. The signal intensity correspondence determining unit 14 then detects the feature detection time tn 2 , the reflected light amount o 1 detected by the approach side detection device 21 at the feature detection time tn 2 , the feature detection time tn 5, and the feature detection time tn 5. The reflected light amount o1 detected by the passage side detection device 22 is associated with the classification information belonging to the same classification, and is written in the queue provided in the first speed calculation unit 16.
また同様に、信号強度対応関係判定部14は、特徴検出時刻tn2に進入側検出装置21で検出した反射光量の値と、特徴検出時刻tn5に通過側検出装置22で検出した反射光量の値の差が閾値以下であるため、同じ分類と判定する。そして信号強度対応関係判定部14は、特徴検出時刻tn2と、当該特徴検出時刻tn2に進入側検出装置21で検出した反射光量o1、また、特徴検出時刻tn5と、特徴検出時刻tn5に通過側検出装置22で検出した反射光量o1とを、同じ分類に属する分類情報として対応付けて、第1速度算出部16に備わるキューに書き込む。 Similarly, the signal intensity
Similarly, the signal strength
そして、信号強度対応関係判定部14は、上述のように、進入側検出装置21や通過側検出装置22で検出した反射光量に基づく特徴検出時刻の判定と、特徴検出時刻の分類とを繰り返す。1台の車両30についての当該繰り返しの処理が終了した時点で、上述した高さ対応関係判定部13から出力された車両通過情報が第1速度算出部16に備わるキューに書き込まれることとなる。
Then, the signal intensity correspondence determination unit 14 repeats the determination of the feature detection time based on the amount of reflected light detected by the approach side detection device 21 and the passage side detection device 22 and the classification of the feature detection time as described above. When the repeated processing for one vehicle 30 is completed, the vehicle passage information output from the height correspondence determination unit 13 described above is written in a queue provided in the first speed calculation unit 16.
次に、第1速度算出部16は、キューから最初の分類情報を読み出す。当該分類情報には、特徴検出時刻t3と、当該特徴検出時刻t3に進入側検出装置21で検出した反射光量m1、また、特徴検出時刻tn3と、特徴検出時刻tn3に通過側検出装置22で検出した反射光量m1とが格納されている。そして第1速度算出部16は、読み出した分類情報に含まれる特徴検出時刻t3と特徴検出時刻tn3とを取得し、それら取得した時刻と設置間隔Dとを用いて、特徴検出時刻t3または特徴検出時刻tn3における車両30の速度V4を、V4=D÷(tn3-t3)により算出し(ステップS110)、特徴検出時刻t3または特徴検出時刻tn3の何れか一方と対応付けて、長さ算出部17に備わるキューに書き込む。本実施形態においては、速度V4と特徴検出時刻t3とを対応付けて、長さ算出部17に備わるキューに書き込むとする。
Next, the first speed calculation unit 16 reads the first classification information from the queue. To the classification information, wherein the detection time t3, the feature detection time t3 reflected light amount detected by the entrance side detection device 21 to m1, also a feature detection time tn 3, passing side detection device, wherein the detection time tn 3 22 The amount of reflected light m1 detected in step 1 is stored. The first speed calculation unit 16 acquires the feature detection time t3 and the feature detection time tn 3 included in the read classification information, and uses the acquired time and the installation interval D to detect the feature detection time t3 or the feature. The speed V4 of the vehicle 30 at the detection time tn 3 is calculated by V4 = D ÷ (tn 3 −t3) (step S110), and is associated with either the feature detection time t3 or the feature detection time tn 3 to be long. The data is written in the queue provided in the length calculation unit 17. In the present embodiment, it is assumed that the speed V4 and the feature detection time t3 are associated with each other and written to a queue provided in the length calculation unit 17.
ここで、第1速度算出部16は、次にキューから読み出した情報が車両通過情報であるかを判定する(ステップS111)。そして、車両通過情報でない場合には、分類情報に含まれる特徴検出時刻を用いた車両30の速度の算出を繰り返す。つまり、第1速度算出部16は、キューから次の分類情報を読み出す。当該分類情報には、特徴検出時刻tn1と、当該特徴検出時刻tn1に進入側検出装置21で検出した反射光量n1、また、特徴検出時刻tn4と、特徴検出時刻tn4に通過側検出装置22で検出した反射光量n1とが格納されている。そして第1速度算出部16は、読み出した分類情報に含まれる特徴検出時刻tn1と特徴検出時刻tn4とを取得し、それら取得した時刻と設置間隔Dとを用いて、特徴検出時刻tn1または特徴検出時刻tn4における車両30の速度V5を、V5=D÷(tn4-tn1)により算出し、特徴検出時刻tn1または特徴検出時刻tn4の何れか一方と対応付けて、長さ算出部17に備わるキューに書き込む。本実施形態においては、速度V5と特徴検出時刻tn1とを対応付けて、長さ算出部17に備わるキューに書き込むとする。
Here, the first speed calculation unit 16 determines whether the information read from the queue next is vehicle passage information (step S111). If it is not vehicle passage information, the calculation of the speed of the vehicle 30 using the feature detection time included in the classification information is repeated. That is, the first speed calculation unit 16 reads the next classification information from the queue. The Classification information, wherein detection time tn 1, the feature detection time tn 1 reflected light amount detected by the entrance side detection device 21 to n1, also a feature detection time tn 4, passing side detection in the feature detection time tn 4 The amount of reflected light n1 detected by the device 22 is stored. The first speed calculation unit 16 acquires the feature detection time tn 1 and the feature detection time tn 4 included in the read classification information, and uses the acquired time and the installation interval D to detect the feature detection time tn 1. Alternatively, the speed V5 of the vehicle 30 at the feature detection time tn 4 is calculated by V5 = D ÷ (tn 4 −tn 1 ), and is associated with either the feature detection time tn 1 or the feature detection time tn 4 to be long. The data is written in the queue provided in the length calculation unit 17. In the present embodiment, in association with the speed V5 and feature detection time tn 1, and written to the queue included in the length calculating unit 17.
また、第1速度算出部16は、キューから次の分類情報を読み出す。当該分類情報には、特徴検出時刻tn2と、当該特徴検出時刻tn2に進入側検出装置21で検出した反射光量o1、また、特徴検出時刻tn5と、特徴検出時刻tn5に通過側検出装置22で検出した反射光量o1とが格納されている。そして第1速度算出部16は、読み出した分類情報に含まれる特徴検出時刻tn2と特徴検出時刻tn5とを取得し、それら取得した時刻と設置間隔Dとを用いて、特徴検出時刻tn2または特徴検出時刻tn5における車両30の速度V6を、V6=D÷(tn5-tn2)により算出し、特徴検出時刻tn2または特徴検出時刻tn5の何れか一方と対応付けて、長さ算出部17に備わるキューに書き込む。本実施形態においては、速度V6と特徴検出時刻tn2とを対応付けて、長さ算出部17に備わるキューに書き込むとする。
Further, the first speed calculation unit 16 reads the next classification information from the queue. The Classification information, wherein detection time tn 2, the feature detection time tn 2 the entrance side detector 21 the reflected light quantity o1 detected in, also a feature detection time tn 5, passing side detection in the feature detection time tn 5 The amount of reflected light o1 detected by the device 22 is stored. The first speed calculation unit 16 acquires the feature detection time tn 2 and the feature detection time tn 5 included in the read classification information, and uses the acquired time and the installation interval D to detect the feature detection time tn 2. Alternatively, the speed V6 of the vehicle 30 at the feature detection time tn 5 is calculated by V6 = D ÷ (tn 5 −tn 2 ), and is associated with either the feature detection time tn 2 or the feature detection time tn 5 to be long. The data is written in the queue provided in the length calculation unit 17. In the present embodiment, in association with the speed V6 and feature detection time tn 2, and written into the queue included in the length calculating unit 17.
そして、第1速度算出部16は、キューから車両通過情報を読み出した場合には、1つの車両30についての各特徴検出時刻を用いた速度の算出を停止して、車両通過情報を、長さ算出部17に備わるキューに書き込む。
Then, when the vehicle passage information is read from the queue, the first speed calculation unit 16 stops the calculation of the speed using each feature detection time for one vehicle 30 and sets the vehicle passage information to the length. Write to the queue provided in the calculation unit 17.
今、長さ算出部17に備わるキューには、
速度V1と特徴検出時刻t3とが対応付けられた情報、
速度V2と特徴検出時刻t11とが対応付けられた情報、
速度V3と特徴検出時刻t23とが対応付けられた情報、
速度V4と特徴検出時刻t3とが対応付けられた情報、
速度V5と特徴検出時刻tn1とが対応付けられた情報、
速度V6と特徴検出時刻tn2とが対応付けられた情報、
速度V7と通過時刻t30とが対応付けられた情報、
車両通過情報、
が記録されている。そして、長さ算出部17は、それらキューより、速度V1と特徴検出時刻t3との組合せの情報、速度V2と特徴検出時刻t11との組合せの情報、速度V3と特徴検出時刻t23との組合せの情報、速度V4と特徴検出時刻t3との組合せの情報、速度V5と特徴検出時刻tn1との組合せの情報、速度V6と特徴検出時刻tn2との組合せの情報と、速度V7と通過時刻t30との組合せの情報と、車両通過情報を順に読み取る。そして、長さ算出部17は、車両通過情報を読み取るとキューからの情報の読み取りを一時停止し、各組合せの情報の中から、特徴検出時刻を読み取り、一致する特徴検出時刻があるかを判定する。そして長さ算出部17は一致する特徴検出時刻がある場合には、時刻の遅い特徴検出時刻を含む組合せの情報を処理に利用する情報から除外すると決定する。本実施形態においては、速度V1と特徴検出時刻t3との組合せの情報と、速度V4と特徴検出時刻t3との組合せの情報において、特徴検出時刻が一致する。従って、長さ算出部17は、速度V4と特徴検出時刻t3との組合せの情報を、処理に利用する情報から除外すると決定する。なお、処理に利用する情報から除外すると決定した情報を削除するようにしてもよい。 The queue provided in thelength calculation unit 17 is now
Information in which the speed V1 and the feature detection time t3 are associated with each other;
Information in which the speed V2 is associated with the feature detection time t11,
Information in which the speed V3 and the feature detection time t23 are associated with each other;
Information in which the speed V4 and the feature detection time t3 are associated with each other;
Information in which the speed V5 and the feature detection time tn 1 are associated with each other,
Information in which the speed V6 and the feature detection time tn 2 are associated with each other,
Information in which the speed V7 and the passage time t30 are associated with each other;
Vehicle passing information,
Is recorded. Then, thelength calculation unit 17 uses the queues to obtain information about the combination of the speed V1 and the feature detection time t3, information about the combination of the speed V2 and the feature detection time t11, and the combination of the speed V3 and the feature detection time t23. information, the combination of information between the speed V4 and the feature detection time t3, the combination of information between the speed V5 and feature detection time tn 1, and the combination information of the speed V6 and feature detection time tn 2, speed V7 and passage time t30 The information on the combination and the vehicle passage information are sequentially read. Then, when the vehicle passage information is read, the length calculation unit 17 temporarily stops reading the information from the queue, reads the feature detection time from the information of each combination, and determines whether there is a matching feature detection time. To do. Then, when there is a matching feature detection time, the length calculation unit 17 determines to exclude the combination information including the later feature detection time from the information used for processing. In the present embodiment, the feature detection times coincide in the information on the combination of the speed V1 and the feature detection time t3 and the information on the combination of the speed V4 and the feature detection time t3. Therefore, the length calculation unit 17 determines to exclude the information on the combination of the speed V4 and the feature detection time t3 from the information used for processing. Note that information determined to be excluded from information used for processing may be deleted.
速度V1と特徴検出時刻t3とが対応付けられた情報、
速度V2と特徴検出時刻t11とが対応付けられた情報、
速度V3と特徴検出時刻t23とが対応付けられた情報、
速度V4と特徴検出時刻t3とが対応付けられた情報、
速度V5と特徴検出時刻tn1とが対応付けられた情報、
速度V6と特徴検出時刻tn2とが対応付けられた情報、
速度V7と通過時刻t30とが対応付けられた情報、
車両通過情報、
が記録されている。そして、長さ算出部17は、それらキューより、速度V1と特徴検出時刻t3との組合せの情報、速度V2と特徴検出時刻t11との組合せの情報、速度V3と特徴検出時刻t23との組合せの情報、速度V4と特徴検出時刻t3との組合せの情報、速度V5と特徴検出時刻tn1との組合せの情報、速度V6と特徴検出時刻tn2との組合せの情報と、速度V7と通過時刻t30との組合せの情報と、車両通過情報を順に読み取る。そして、長さ算出部17は、車両通過情報を読み取るとキューからの情報の読み取りを一時停止し、各組合せの情報の中から、特徴検出時刻を読み取り、一致する特徴検出時刻があるかを判定する。そして長さ算出部17は一致する特徴検出時刻がある場合には、時刻の遅い特徴検出時刻を含む組合せの情報を処理に利用する情報から除外すると決定する。本実施形態においては、速度V1と特徴検出時刻t3との組合せの情報と、速度V4と特徴検出時刻t3との組合せの情報において、特徴検出時刻が一致する。従って、長さ算出部17は、速度V4と特徴検出時刻t3との組合せの情報を、処理に利用する情報から除外すると決定する。なお、処理に利用する情報から除外すると決定した情報を削除するようにしてもよい。 The queue provided in the
Information in which the speed V1 and the feature detection time t3 are associated with each other;
Information in which the speed V2 is associated with the feature detection time t11,
Information in which the speed V3 and the feature detection time t23 are associated with each other;
Information in which the speed V4 and the feature detection time t3 are associated with each other;
Information in which the speed V5 and the feature detection time tn 1 are associated with each other,
Information in which the speed V6 and the feature detection time tn 2 are associated with each other,
Information in which the speed V7 and the passage time t30 are associated with each other;
Vehicle passing information,
Is recorded. Then, the
そして、長さ算出部17は、速度V1と特徴検出時刻t3との組合せの情報、速度V2と特徴検出時刻t11との組合せの情報、速度V3と特徴検出時刻t23との組合せの情報、速度V5と特徴検出時刻tn1との組合せの情報、速度V6と特徴検出時刻tn2との組合せの情報とを用いて、車両30の車長Lを算出する(ステップS112)。より具体的には、早い特徴検出時刻の順に2つの組合せの情報を特定する。ここでは、速度V1と特徴検出時刻t3との組合せの情報と、速度V5と特徴検出時刻tn1との組合せの情報を特定する。そして、長さ算出部17は、xを特徴検出時刻、yを速度とした場合の関数であって、(速度V1,特徴検出時刻t3)と(速度V5,特徴検出時刻tn1)とを通る関数が示す式を用いた、特徴検出時刻t3から特徴検出時刻tn1までの積分値を算出する。そして、最も早い特徴検出時刻を含む組合せの情報を、処理に利用する情報から除外する。除外される組合せの情報は、速度V1と特徴検出時刻t3との組合せの情報である。
Then, the length calculation unit 17 includes information on the combination of the speed V1 and the feature detection time t3, information on the combination of the speed V2 and the feature detection time t11, information on the combination of the speed V3 and the feature detection time t23, and the speed V5. The vehicle length L of the vehicle 30 is calculated using information on the combination of the vehicle speed and the feature detection time tn 1 and information on the combination of the speed V6 and the feature detection time tn 2 (step S112). More specifically, information of two combinations is specified in the order of early feature detection time. Here, identification and combination of the speed V1 and the feature detection time t3 information, the information of the combination of velocity V5 and feature detection time tn 1. The length calculation unit 17 is a function when x is a feature detection time and y is a speed, and passes through (speed V1, feature detection time t3) and (speed V5, feature detection time tn 1 ). function was using the equation shown, for calculating the integral value from the feature detection time t3 to the feature detection time tn 1. Then, the combination information including the earliest feature detection time is excluded from the information used for processing. The information on the combination to be excluded is information on the combination of the speed V1 and the feature detection time t3.
また次に、長さ算出部17は、現在除外されずに残っている組合せ情報のうち、早い特徴検出時刻の順に2つの組合せの情報を特定する。ここでは、速度V5と特徴検出時刻tn1との組合せの情報と、速度V6と特徴検出時刻tn2との組合せの情報を特定する。
そして、長さ算出部17は、xを特徴検出時刻、yを速度とした場合の関数であって、(速度V5,特徴検出時刻tn1)と(速度V6,特徴検出時刻tn2)とを通る関数が示す式を用いた、特徴検出時刻tn1から特徴検出時刻tn2までの積分値を算出する。そして、最も早い特徴検出時刻を含む組合せの情報を、処理に利用する情報から除外する。
除外される組合せの情報は、速度V5と特徴検出時刻tn1との組合せの情報である。 Next, thelength calculation unit 17 specifies information of two combinations in the order of early feature detection time among the combination information that is not currently excluded. Here, information on the combination of speed V5 and feature detection time tn 1 and information on the combination of speed V6 and feature detection time tn 2 are specified.
Thelength calculation unit 17 is a function where x is a feature detection time and y is a speed, and (speed V5, feature detection time tn 1 ) and (speed V6, feature detection time tn 2 ) An integral value from the feature detection time tn 1 to the feature detection time tn 2 is calculated using an expression indicated by the passing function. Then, the combination information including the earliest feature detection time is excluded from the information used for processing.
Information combinations are excluded, the information of the combination of the speed V5 and feature detection time tn 1.
そして、長さ算出部17は、xを特徴検出時刻、yを速度とした場合の関数であって、(速度V5,特徴検出時刻tn1)と(速度V6,特徴検出時刻tn2)とを通る関数が示す式を用いた、特徴検出時刻tn1から特徴検出時刻tn2までの積分値を算出する。そして、最も早い特徴検出時刻を含む組合せの情報を、処理に利用する情報から除外する。
除外される組合せの情報は、速度V5と特徴検出時刻tn1との組合せの情報である。 Next, the
The
Information combinations are excluded, the information of the combination of the speed V5 and feature detection time tn 1.
また次に、長さ算出部17は、現在除外されずに残っている組合せ情報のうち、早い特徴検出時刻の順に2つの組合せの情報を特定する。ここでは、速度V6と特徴検出時刻tn2との組合せの情報と、速度V2と特徴検出時刻t11との組合せの情報を特定する。
そして、長さ算出部17は、xを特徴検出時刻、yを速度とした場合の関数であって、(速度V6,特徴検出時刻tn2)と(速度V2,特徴検出時刻t11)とを通る関数が示す式を用いた、特徴検出時刻tn2から特徴検出時刻t11までの積分値を算出する。そして、最も早い特徴検出時刻を含む組合せの情報を、処理に利用する情報から除外する。
除外される組合せの情報は、速度V6と特徴検出時刻tn2との組合せの情報である。 Next, thelength calculation unit 17 specifies information of two combinations in the order of early feature detection time among the combination information that is not currently excluded. Here, identification and combination of the speed V6 and feature detection time tn 2 information, the information of the combination of the speed V2 and the feature detection time t11.
Thelength calculation unit 17 is a function when x is a feature detection time and y is a speed, and passes through (speed V6, feature detection time tn 2 ) and (speed V2, feature detection time t11). An integral value from the feature detection time tn 2 to the feature detection time t11 is calculated using an expression indicated by the function. Then, the combination information including the earliest feature detection time is excluded from the information used for processing.
Information combinations are excluded, the information of the combination of the speed V6 and feature detection time tn 2.
そして、長さ算出部17は、xを特徴検出時刻、yを速度とした場合の関数であって、(速度V6,特徴検出時刻tn2)と(速度V2,特徴検出時刻t11)とを通る関数が示す式を用いた、特徴検出時刻tn2から特徴検出時刻t11までの積分値を算出する。そして、最も早い特徴検出時刻を含む組合せの情報を、処理に利用する情報から除外する。
除外される組合せの情報は、速度V6と特徴検出時刻tn2との組合せの情報である。 Next, the
The
Information combinations are excluded, the information of the combination of the speed V6 and feature detection time tn 2.
また次に、長さ算出部17は、現在除外されずに残っている組合せ情報のうち、早い特徴検出時刻の順に2つの組合せの情報を特定する。ここでは、速度V2と特徴検出時刻t11との組合せの情報と、速度V3と特徴検出時刻t23との組合せの情報を特定する。
そして、長さ算出部17は、xを特徴検出時刻、yを速度とした場合の関数であって、(速度V2,特徴検出時刻t11)と(速度V3,特徴検出時刻t23)とを通る関数が示す式を用いた、特徴検出時刻t11から特徴検出時刻t23までの積分値を算出する。そして、最も早い特徴検出時刻を含む組合せの情報を、処理に利用する情報から除外する。
除外される組合せの情報は、速度V2と特徴検出時刻t11との組合せの情報である。 Next, thelength calculation unit 17 specifies information of two combinations in the order of early feature detection time among the combination information that is not currently excluded. Here, information on the combination of the speed V2 and the feature detection time t11 and information on the combination of the speed V3 and the feature detection time t23 are specified.
Thelength calculation unit 17 is a function when x is a feature detection time and y is a speed, and passes through (speed V2, feature detection time t11) and (speed V3, feature detection time t23). Is calculated from the feature detection time t11 to the feature detection time t23. Then, the combination information including the earliest feature detection time is excluded from the information used for processing.
The information on the excluded combination is information on the combination of the speed V2 and the feature detection time t11.
そして、長さ算出部17は、xを特徴検出時刻、yを速度とした場合の関数であって、(速度V2,特徴検出時刻t11)と(速度V3,特徴検出時刻t23)とを通る関数が示す式を用いた、特徴検出時刻t11から特徴検出時刻t23までの積分値を算出する。そして、最も早い特徴検出時刻を含む組合せの情報を、処理に利用する情報から除外する。
除外される組合せの情報は、速度V2と特徴検出時刻t11との組合せの情報である。 Next, the
The
The information on the excluded combination is information on the combination of the speed V2 and the feature detection time t11.
また次に、長さ算出部17は、現在除外されずに残っている組合せ情報のうち、早い特徴検出時刻の順に2つの組合せの情報を特定する。ここでは、速度V3と特徴検出時刻t23との組合せの情報と、速度V7と特徴検出時刻t30との組合せの情報を特定する。
そして、長さ算出部17は、xを特徴検出時刻、yを速度とした場合の関数であって、(速度V3,特徴検出時刻t23)と(速度V7,特徴検出時刻t30)とを通る関数が示す式を用いた、特徴検出時刻t23から特徴検出時刻t30までの積分値を算出する。そして、最も早い特徴検出時刻を含む組合せの情報を、処理に利用する情報から除外する。
除外される組合せの情報は、速度V3と特徴検出時刻t23との組合せの情報である。 Next, thelength calculation unit 17 specifies information of two combinations in the order of early feature detection time among the combination information that is not currently excluded. Here, information on the combination of speed V3 and feature detection time t23 and information on the combination of speed V7 and feature detection time t30 are specified.
Thelength calculation unit 17 is a function when x is a feature detection time and y is a speed, and passes through (speed V3, feature detection time t23) and (speed V7, feature detection time t30). Is calculated from the feature detection time t23 to the feature detection time t30. Then, the combination information including the earliest feature detection time is excluded from the information used for processing.
The information on the excluded combination is information on the combination of the speed V3 and the feature detection time t23.
そして、長さ算出部17は、xを特徴検出時刻、yを速度とした場合の関数であって、(速度V3,特徴検出時刻t23)と(速度V7,特徴検出時刻t30)とを通る関数が示す式を用いた、特徴検出時刻t23から特徴検出時刻t30までの積分値を算出する。そして、最も早い特徴検出時刻を含む組合せの情報を、処理に利用する情報から除外する。
除外される組合せの情報は、速度V3と特徴検出時刻t23との組合せの情報である。 Next, the
The
The information on the excluded combination is information on the combination of the speed V3 and the feature detection time t23.
そして、最後に速度V7と特徴検出時刻t30との組合せの情報が1つのみ残ると、積分の処理を終了する。そして、長さ算出部17は積分により算出した結果を合計し、これを車両30の長さLとして出力する。
Finally, when only one piece of information on the combination of the speed V7 and the feature detection time t30 remains, the integration process ends. Then, the length calculation unit 17 sums up the results calculated by integration, and outputs this as the length L of the vehicle 30.
なお、長さ算出部17は、x軸を特徴検出時刻、y軸を速度とし、(速度V1,特徴検出時刻t3)、(速度V5,特徴検出時刻tn1)、(速度V6,特徴検出時刻tn2)、(速度V2,特徴検出時刻t11)、(速度V3,特徴検出時刻t23)、(速度V7,特徴検出時刻t30)の各点を通るなめらかな近似式を求め、当該近似式を用いて、最も検出時刻の早い特徴検出時刻t3から、最も検出時刻の遅い特徴検出時刻t30までの積分値を算出し、その値を車両30の長さLとして出力するようにしてもよい。
The length calculation unit 17 uses the x-axis as the feature detection time and the y-axis as the speed, and (speed V1, feature detection time t3), (speed V5, feature detection time tn 1 ), (speed V6, feature detection time). tn 2 ), (velocity V2, feature detection time t11), (velocity V3, feature detection time t23) and (velocity V7, feature detection time t30) are obtained as smooth approximation formulas, and the approximate formulas are used. Thus, an integrated value from the feature detection time t3 with the earliest detection time to the feature detection time t30 with the latest detection time may be calculated and output as the length L of the vehicle 30.
以上、本発明の実施形態について説明したが、上述の測定対象物測定装置10の処理によれば、精度良く測定対象物の進行方向の長さを検出することができる。
As mentioned above, although embodiment of this invention was described, according to the process of the above-mentioned measuring object measuring apparatus 10, the length of the advancing direction of a measuring object can be detected accurately.
なお、上述のステップS102やステップS103の処理において、高さ対応関係判定部13は、高さ情報の変化が閾値以内となる高さ情報を所定の回数以上続けて入力した場合、その閾値以内に収まる各高さ情報のうち、最も早く入力した高さ情報に対応する検出時刻を、その高さ情報を最初に検出した特徴検出時刻と判定している。しかしながら、高さ情報の変化が閾値以内となる高さ情報を所定の回数以上続けて入力した場合において、その閾値以内に収まる各高さ情報のうち、最も早く入力した高さ情報は、測定対象物の高さが変化する部位であるため、検出される高さ情報の値の信頼性が低い。従って、高さ情報の変化が閾値以内となる高さ情報を所定の回数以上続けて入力した場合において、その閾値以内に収まる各高さ情報のうち、最も早く入力した高さ情報以外の高さ情報の検出時刻を特徴検出時刻と判定するようにしてもよい。
つまりこの場合、図7を用いて説明すると、例えば、検出時刻t4を高さ情報A1の特徴検出時刻と判定し、検出時刻t12を高さ情報B1の特徴検出時刻と判定し、検出時刻t24を高さ情報C1の特徴検出時刻と判定することとなる。 In the above-described processing of Step S102 and Step S103, the heightcorrespondence determination unit 13 falls within the threshold when the height information whose change in height information is within the threshold is continuously input a predetermined number of times or more. Among the stored height information, the detection time corresponding to the earliest input height information is determined as the feature detection time at which the height information was first detected. However, when the height information whose change in height information is within the threshold is continuously input for a predetermined number of times or more, the earliest input height information among the pieces of height information that fall within the threshold is the measurement target. Since the height of the object changes, the reliability of the detected height information value is low. Accordingly, when the height information whose change in height information is within the threshold value is input continuously for a predetermined number of times or more, the height information other than the earliest input height information among the height information that falls within the threshold value. Information detection time may be determined as feature detection time.
That is, in this case, referring to FIG. 7, for example, the detection time t4 is determined as the feature detection time of the height information A1, the detection time t12 is determined as the feature detection time of the height information B1, and the detection time t24 is set as the detection time t24. It will be determined as the feature detection time of the height information C1.
つまりこの場合、図7を用いて説明すると、例えば、検出時刻t4を高さ情報A1の特徴検出時刻と判定し、検出時刻t12を高さ情報B1の特徴検出時刻と判定し、検出時刻t24を高さ情報C1の特徴検出時刻と判定することとなる。 In the above-described processing of Step S102 and Step S103, the height
That is, in this case, referring to FIG. 7, for example, the detection time t4 is determined as the feature detection time of the height information A1, the detection time t12 is determined as the feature detection time of the height information B1, and the detection time t24 is set as the detection time t24. It will be determined as the feature detection time of the height information C1.
また、上述のステップS107やステップS108の処理において、信号強度対応関係判定部14は、反射光量の変化が閾値以内となる反射光量を所定の回数以上続けて入力した場合、その閾値以内に収まる各反射光量のうち、最も早く入力した反射光量に対応する検出時刻を、その閾値以内に収まる各反射光量を最初に検出した特徴検出時刻と判定している。しかしながら、反射光量の変化が閾値以内となる反射光量を所定の回数以上続けて入力した場合において、その閾値以内に収まる各反射光量のうち、最も早く入力した反射光量は、測定対象物の反射光量が変化する部位であるため、検出される反射光量の値の信頼性が低い。従って、反射光量の変化が閾値以内となる反射光量を所定の回数以上続けて入力した場合において、その閾値以内に収まる各反射光量のうち、最も早く入力した反射光量以外の反射光量の検出時刻を特徴検出時刻と判定するようにしてもよい。
つまりこの場合、図8を用いて説明すると、例えば、検出時刻tn1の次の検出時刻を反射光量n1の特徴検出時刻と判定し、検出時刻tn2の次の検出時刻を反射光量o1の特徴検出時刻と判定することとなる。 Further, in the processing of step S107 and step S108 described above, the signal intensitycorrespondence determination unit 14 inputs each amount of reflected light whose change in reflected light amount is within the threshold value continuously for a predetermined number of times or more. Of the reflected light amounts, the detection time corresponding to the reflected light amount input earliest is determined as the feature detection time at which each reflected light amount that falls within the threshold is first detected. However, when the amount of reflected light whose change in reflected light amount is within the threshold is continuously input for a predetermined number of times or more, the earliest reflected light amount among the reflected light amounts that fall within the threshold is the reflected light amount of the measurement object. Therefore, the reliability of the detected amount of reflected light is low. Therefore, when a reflected light amount whose change in reflected light amount is within the threshold is continuously input a predetermined number of times or more, the detection time of the reflected light amount other than the earliest input reflected light amount among the reflected light amounts that fall within the threshold value is set. The feature detection time may be determined.
That is, in this case, referring to FIG. 8, for example, the next detection time after the detection time tn 1 is determined as the feature detection time of the reflected light amount n1, and the next detection time after the detection time tn 2 is the feature of the reflected light amount o1. The detection time is determined.
つまりこの場合、図8を用いて説明すると、例えば、検出時刻tn1の次の検出時刻を反射光量n1の特徴検出時刻と判定し、検出時刻tn2の次の検出時刻を反射光量o1の特徴検出時刻と判定することとなる。 Further, in the processing of step S107 and step S108 described above, the signal intensity
That is, in this case, referring to FIG. 8, for example, the next detection time after the detection time tn 1 is determined as the feature detection time of the reflected light amount n1, and the next detection time after the detection time tn 2 is the feature of the reflected light amount o1. The detection time is determined.
なお、本実施形態においては、進行方向に設置された各検出装置における、測定対象物の幾何学的な特徴の検出時刻と、光学的な特徴の検出時刻とを用いて、測定対象物の長さを算出する場合の例を説明している。しかしながら、これに限らず、進行方向に設置された各検出装置における、測定対象物の幾何学的な特徴の検出時刻を用いずに、測定対象物の光学的な特徴の検出時刻を用いて、測定対象物の長さを算出するようにしてもよい。測定対象物に幾何学的な特徴がない場合に、その測定対象物の光学的特徴(車両30のガラス面やボディーの色の特徴など反射光量が大きく変化する特徴)を用いて、測定対象物の長さの測定を行うことができる。
In this embodiment, the length of the measurement object is determined by using the detection time of the geometric feature of the measurement object and the detection time of the optical feature in each detection device installed in the traveling direction. An example of calculating the thickness is described. However, the present invention is not limited to this, and the detection time of the optical feature of the measurement object is used instead of the detection time of the geometric feature of the measurement object in each detection device installed in the traveling direction. The length of the measurement object may be calculated. When there is no geometric feature in the measurement object, the measurement object is used by using the optical characteristics of the measurement object (characteristics in which the amount of reflected light changes greatly, such as the color of the glass surface of the vehicle 30 or the color of the body). Can be measured.
なお、上述の測定対象物測定装置10は内部に、コンピュータシステムを有している。
そして、上述した各処理の過程は、プログラムの形式でコンピュータ読み取り可能な記録媒体に記憶されており、このプログラムをコンピュータが読み出して実行することによって、上記処理が行われる。ここでコンピュータ読み取り可能な記録媒体とは、磁気ディスク、光磁気ディスク、CD-ROM、DVD-ROM、半導体メモリ等をいう。また、このコンピュータプログラムを通信回線によってコンピュータに配信し、この配信を受けたコンピュータが当該プログラムを実行するようにしても良い。 The measurementobject measuring apparatus 10 described above has a computer system inside.
Each process described above is stored in a computer-readable recording medium in the form of a program, and the above process is performed by the computer reading and executing the program. Here, the computer-readable recording medium means a magnetic disk, a magneto-optical disk, a CD-ROM, a DVD-ROM, a semiconductor memory, or the like. Alternatively, the computer program may be distributed to the computer via a communication line, and the computer that has received the distribution may execute the program.
そして、上述した各処理の過程は、プログラムの形式でコンピュータ読み取り可能な記録媒体に記憶されており、このプログラムをコンピュータが読み出して実行することによって、上記処理が行われる。ここでコンピュータ読み取り可能な記録媒体とは、磁気ディスク、光磁気ディスク、CD-ROM、DVD-ROM、半導体メモリ等をいう。また、このコンピュータプログラムを通信回線によってコンピュータに配信し、この配信を受けたコンピュータが当該プログラムを実行するようにしても良い。 The measurement
Each process described above is stored in a computer-readable recording medium in the form of a program, and the above process is performed by the computer reading and executing the program. Here, the computer-readable recording medium means a magnetic disk, a magneto-optical disk, a CD-ROM, a DVD-ROM, a semiconductor memory, or the like. Alternatively, the computer program may be distributed to the computer via a communication line, and the computer that has received the distribution may execute the program.
また、上記プログラムは、前述した機能の一部を実現するためのものであっても良い。
さらに、前述した機能をコンピュータシステムにすでに記録されているプログラムとの組み合わせで実現できるもの、いわゆる差分ファイル(差分プログラム)であっても良い。 The program may be for realizing a part of the functions described above.
Furthermore, what can implement | achieve the function mentioned above in combination with the program already recorded on the computer system, and what is called a difference file (difference program) may be sufficient.
さらに、前述した機能をコンピュータシステムにすでに記録されているプログラムとの組み合わせで実現できるもの、いわゆる差分ファイル(差分プログラム)であっても良い。 The program may be for realizing a part of the functions described above.
Furthermore, what can implement | achieve the function mentioned above in combination with the program already recorded on the computer system, and what is called a difference file (difference program) may be sufficient.
本発明の測定対象物測定装置の処理によれば、車両の車長を測定するにあたり、適切な車両の検出信号を、距離を隔てて設置された複数の検出装置より入力した検出信号の中から抽出することができる。
According to the processing of the measurement object measuring apparatus of the present invention, when measuring the vehicle length, an appropriate vehicle detection signal is selected from detection signals input from a plurality of detection apparatuses installed at a distance. Can be extracted.
10・・・測定対象物測定装置
11・・・入力部
12・・・記憶部
13・・・高さ対応関係判定部
14・・・信号強度対応関係判定部
15・・・第2速度算出部
16・・・第1速度算出部
17・・・長さ算出部
21・・・進入側検出装置
22・・・通過側検出装置
30・・・車両 DESCRIPTION OFSYMBOLS 10 ... Measuring object measuring apparatus 11 ... Input part 12 ... Memory | storage part 13 ... Height correspondence determination part 14 ... Signal strength correspondence determination part 15 ... 2nd speed calculation part 16 ... 1st speed calculation part 17 ... Length calculation part 21 ... Approaching side detection apparatus 22 ... Passing side detection apparatus 30 ... Vehicle
11・・・入力部
12・・・記憶部
13・・・高さ対応関係判定部
14・・・信号強度対応関係判定部
15・・・第2速度算出部
16・・・第1速度算出部
17・・・長さ算出部
21・・・進入側検出装置
22・・・通過側検出装置
30・・・車両 DESCRIPTION OF
Claims (10)
- 測定対象物の進行方向に所定の設置間隔を開けて設置された進入側検出装置と通過側検出装置のそれぞれより前記測定対象物の特徴を示す検出信号を入力する入力部と、
前記進入側検出装置および前記通過側検出装置より前記検出信号を入力する毎に、前記測定対象物の特徴の増加または減少の値を示す特徴増減情報と当該検出信号に含まれる特徴検出時刻とを含む特徴検出情報を、入力した検出信号に基づいて生成する特徴検出情報生成部と、
前記進入側検出装置で前記測定対象物についての前記検出信号を最初に検出した後の時間軸で前記進入側検出装置が前記測定対象物を検出した際の前記特徴検出時刻と、前記時間軸で前記通過側検出装置が前記測定対象物を検出した際の前記特徴検出時刻との関係を表す二次元の座標系において、前記進入側検出装置と前記通過側検出装置の2つの検出装置それぞれにおける最初の特徴検出時刻を成分とする点と、前記2つの検出装置における前記測定対象物に対する最後の特徴検出時刻を成分とする点とを通る関数であって、前記進入側検出装置と前記通過側検出装置の間を走行した前記測定対象物の平均加速度による、前記進入側検出装置と前記通過側検出装置での測定対象物の各特徴の通過時刻を表す関数を導く関数導出部と、
入力した検出信号に含まれる前記特徴検出時刻を一方の成分として前記関数に代入して他方の成分を算出することで、前記測定対象物が前記平均加速度で前記進入側検出装置と前記通過側検出装置の間を走行したと仮定した場合に、前記進入側検出装置または前記通過側検出装置の何れか一方の検出装置から入力した検出信号に基づいて生成された特徴検出情報の示す特徴が他方の検出装置で検出される可能性のある仮定時刻を算出する仮定時刻算出部と、
前記一方の検出装置からの一つの検出信号に基づいて生成された特徴検出情報を特定し、当該特徴検出情報から特徴増減情報を読み取って、前記他方の検出装置からの検出信号に基づいて生成された特徴検出情報のうち、前記読み取った特徴増減情報の示す増加または減少の何れかの値と同じ値を示す特徴増減情報を含む特徴検出情報を特定する特徴検出情報候補特定部と、
この特定した特徴検出情報のうち、前記一方の検出装置より入力した前記一つの検出信号に含まれる特徴検出時刻を一方の成分として前記関数に代入して他方の成分を算出して得た仮定時刻と、最も時刻の近い特徴検出時刻を含む特徴検出情報を特定する特徴検出情報特定部と、
前記一方の検出装置より入力した一つの検出信号と、前記特徴検出情報特定部が特定した特徴検出情報の生成に用いた他方の検出装置より入力した検出信号とを、前記測定対象物の特徴点を検出した際の対応する検出信号と判定する検出信号対応関係判定部と、
を備える測定対象物測定装置。 An input unit for inputting a detection signal indicating the characteristics of the measurement object from each of the entry side detection device and the passage side detection device installed with a predetermined installation interval in the traveling direction of the measurement object;
Each time the detection signal is input from the entry side detection device and the passage side detection device, feature increase / decrease information indicating an increase or decrease value of the feature of the measurement object and a feature detection time included in the detection signal are obtained. A feature detection information generation unit that generates feature detection information including the input detection signal; and
The feature detection time when the entry side detection device detects the measurement object on the time axis after the detection signal for the measurement object is first detected by the entry side detection device, and the time axis. In the two-dimensional coordinate system representing the relationship with the feature detection time when the passing side detecting device detects the measurement object, the first in each of the two detecting devices of the approaching side detecting device and the passing side detecting device A function having a feature detection time as a component and a point having the last feature detection time for the measurement object in the two detection devices as a component, the entry side detection device and the passage side detection. A function derivation unit for deriving a function representing a passage time of each feature of the measurement object in the entry side detection device and the passage side detection device according to an average acceleration of the measurement object that has traveled between devices;
By substituting the feature detection time included in the input detection signal into the function as one component and calculating the other component, the measurement object is detected by the average acceleration and the entry side detection device and the passage side detection. When it is assumed that the vehicle has traveled between devices, the feature indicated by the feature detection information generated based on the detection signal input from one of the entry side detection device and the passage side detection device is the other feature. An assumed time calculation unit for calculating an assumed time that may be detected by the detection device;
The feature detection information generated based on one detection signal from the one detection device is specified, the feature increase / decrease information is read from the feature detection information, and the feature detection information is generated based on the detection signal from the other detection device. A feature detection information candidate specifying unit that specifies feature detection information including feature increase / decrease information that indicates the same value as either the increase or decrease indicated by the read feature increase / decrease information,
Of the specified feature detection information, an assumed time obtained by substituting the feature detection time included in the one detection signal input from the one detection device into the function as one component and calculating the other component And a feature detection information specifying unit for specifying feature detection information including the feature detection time closest to the time,
One detection signal input from the one detection device and a detection signal input from the other detection device used to generate the feature detection information specified by the feature detection information specifying unit are feature points of the measurement object. A detection signal correspondence determining unit that determines a corresponding detection signal when detecting
A measuring object measuring apparatus comprising: - 前記進入側検出装置において前記最初の特徴検出時刻から前記最後の特徴検出時刻までの間に前記測定対象物を検出した回数と、
前記通過側検出装置において前記最初の特徴検出時刻から前記最後の特徴検出時刻までの間に前記測定対象物を検出した回数と、
を比較して、前記進入側検出装置と前記通過側検出装置のうち、前記測定対象物を検出した回数が少ない検出装置を、前記一方の検出装置と特定する基準検出装置特定部と、
を備える請求項1に記載の測定対象物測定装置。 The number of times the measurement object is detected between the first feature detection time and the last feature detection time in the entry side detection device;
The number of times the measurement object is detected between the first feature detection time and the last feature detection time in the passage-side detection device;
Comparing the detection device with a small number of times of detection of the measurement object among the entry-side detection device and the passage-side detection device, a reference detection device specifying unit for specifying the one detection device,
The measuring object measuring apparatus according to claim 1, comprising: - 前記入力部は、前記測定対象物へ照射した光照射信号に対応する光反射信号の強度を示す特徴とその特徴検出時刻を含む検出信号を、前記進入側検出装置と前記通過側検出装置のそれぞれより入力し、
前記特徴検出情報生成部は、当該検出信号に基づいて、前記測定対象物の光学的特徴を示す測定対象物特徴の増加または減少の値を示す特徴増減情報と前記検出信号に含まれる特徴検出時刻とを含む特徴検出情報を生成する
請求項1または請求項2に記載の測定対象物測定装置。 The input unit receives a detection signal including a characteristic indicating the intensity of a light reflection signal corresponding to the light irradiation signal irradiated to the measurement object and a characteristic detection time of each of the entry side detection device and the passage side detection device. Enter more
The feature detection information generation unit, based on the detection signal, feature increase / decrease information indicating an increase or decrease value of the measurement object feature indicating the optical characteristic of the measurement object, and a feature detection time included in the detection signal The measurement object measuring apparatus according to claim 1, wherein the feature detection information is generated. - 前記入力部は、前記光照射信号の照射時刻と前記光反射信号の受信時刻との送受信間隔を用いて検出された前記測定対象物の高さ情報を示す特徴とその特徴検出時刻を含む検出信号を、前記進入側検出装置と前記通過側検出装置のそれぞれより入力し、
前記特徴検出情報生成部は、当該検出信号に基づいて、前記測定対象物の幾何学的特徴を示す測定対象物特徴の増加または減少の値を示す特徴増減情報と前記検出信号に含まれる特徴検出時刻とを含む特徴検出情報を生成する
請求項1から請求項3の何れか一項に記載の測定対象物測定装置。 The input unit includes a feature indicating height information of the measurement object detected using a transmission / reception interval between the irradiation time of the light irradiation signal and the reception time of the light reflection signal, and a detection signal including the feature detection time Is input from each of the approach side detection device and the passage side detection device,
The feature detection information generation unit, based on the detection signal, feature increase / decrease information indicating an increase or decrease value of the measurement target feature indicating the geometric feature of the measurement target and feature detection included in the detection signal The measurement object measuring device according to any one of claims 1 to 3, wherein feature detection information including time is generated. - 前記検出信号対応関係判定部は、
前記特徴検出情報候補特定部によって特定された特徴検出情報に含まれる特徴検出時刻のうち、前記一方の検出装置より入力した前記一つの検出信号に含まれる特徴検出時刻を一方の成分として前記関数に代入して他方の成分を算出して得た仮定時刻と最も時刻の近い特徴検出時刻が、当該仮定時刻と所定の時間差以内である場合にのみ、前記一方の検出装置より入力した一つの検出信号と、前記特徴検出情報特定部が特定した特徴検出情報の生成に用いた他方の検出装置より入力した検出信号とを、前記測定対象物の特徴点を検出した際の対応する検出信号と判定する
請求項1から請求項4の何れか一項に記載の測定対象物測定装置。 The detection signal correspondence determination unit
Of the feature detection times included in the feature detection information specified by the feature detection information candidate specifying unit, the feature detection time included in the one detection signal input from the one detection device is used as one component in the function. One detection signal input from the one detection device only when the feature detection time closest to the assumed time obtained by substituting and calculating the other component is within a predetermined time difference from the assumed time And the detection signal input from the other detection device used for generating the feature detection information specified by the feature detection information specifying unit is determined as the corresponding detection signal when the feature point of the measurement object is detected. The measuring object measuring apparatus as described in any one of Claims 1-4. - 前記進入側検出装置より前記測定対象物について最初に入力した検出信号に含まれる特徴検出時刻と前記通過側検出装置より前記測定対象物について最初に入力した検出信号に含まれる特徴検出時刻の前後関係と、前記進入側検出装置より前記測定対象物について最後に入力した検出信号に含まれる特徴検出時刻と前記通過側検出装置より前記測定対象物について最後に入力した検出信号に含まれる特徴検出時刻の前後関係とを比較して、それら前後関係が異なる場合には、前記進入側検出装置と前記通過側検出装置とから入力する検出信号の対応関係の判定を停止する対応関係判定停止部と、
を備える請求項1から請求項5の何れか一項に記載の測定対象物測定装置。 The relationship between the feature detection time included in the detection signal first input for the measurement object from the entry side detection device and the feature detection time included in the detection signal first input for the measurement object from the passage side detection device And a feature detection time included in a detection signal last input for the measurement object from the entry side detection device and a feature detection time included in a detection signal last input for the measurement object from the passage side detection device. When comparing the front and back relations, if the front and rear relations are different, a correspondence determination stop unit that stops the determination of the correspondence of detection signals input from the entry side detection device and the passage side detection device,
The measuring object measuring device according to any one of claims 1 to 5, further comprising: - 前記測定対象物の特徴点を検出した際の対応する検出信号と判定された、前記一方の検出装置から入力した一つの検出信号と、前記他方の検出装置から入力した検出信号のそれぞれに含まれる特徴検出時刻の組合せ複数と、前記設置間隔とに基づいて、前記測定対象物の前記特徴点のそれぞれについての速度を算出する速度算出部と、
を備える請求項1から請求項6の何れか一項に記載の測定対象物測定装置。 Included in each of the one detection signal input from the one detection device and the detection signal input from the other detection device, which is determined as a corresponding detection signal when the feature point of the measurement object is detected A speed calculation unit that calculates a speed for each of the feature points of the measurement object based on a plurality of combinations of feature detection times and the installation interval;
A measuring object measuring apparatus according to any one of claims 1 to 6, further comprising: - 前記特徴点のそれぞれについての速度と、前記進入側検出装置から入力した検出信号に含まれる特徴検出時刻または前記通過側検出装置から入力した検出信号に含まれる特徴検出時刻の何れか一方または両方に基づいて、前記測定対象物の前記進行方向の長さを算出する長さ算出部と、
を備える請求項7に記載の測定対象物測定装置。 The speed for each of the feature points and / or the feature detection time included in the detection signal input from the entry side detection device and / or the feature detection time included in the detection signal input from the passage side detection device A length calculating unit that calculates the length of the measurement object in the traveling direction;
The measuring object measuring device according to claim 7 provided with. - 測定対象物測定装置の処理方法であって、
入力部が、測定対象物の進行方向に所定の設置間隔を開けて設置された進入側検出装置と通過側検出装置のそれぞれより前記測定対象物の特徴を示す検出信号を入力し、
特徴検出情報生成部が、前記進入側検出装置および前記通過側検出装置より前記検出信号を入力する毎に、前記測定対象物の特徴の増加または減少の値を示す特徴増減情報と当該検出信号に含まれる特徴検出時刻とを含む特徴検出情報を、入力した検出信号に基づいて生成し、
関数導出部が、前記進入側検出装置で前記測定対象物についての前記検出信号を最初に検出した後の時間軸で前記進入側検出装置が前記測定対象物を検出した際の前記特徴検出時刻と、前記時間軸で前記通過側検出装置が前記測定対象物を検出した際の前記特徴検出時刻との関係を表す二次元の座標系において、前記進入側検出装置と前記通過側検出装置の2つの検出装置それぞれにおける最初の特徴検出時刻を成分とする点と、前記2つの検出装置における前記測定対象物に対する最後の特徴検出時刻を成分とする点とを通る関数であって、前記進入側検出装置と前記通過側検出装置の間を走行した前記測定対象物の平均加速度による、前記進入側検出装置と前記通過側検出装置での測定対象物の各特徴の通過時刻を表す関数を導き、
仮定時刻算出部が、入力した検出信号に含まれる前記特徴検出時刻を一方の成分として前記関数に代入して他方の成分を算出することで、前記測定対象物が前記平均加速度で前記進入側検出装置と前記通過側検出装置の間を走行したと仮定した場合に、前記進入側検出装置または前記通過側検出装置の何れか一方の検出装置から入力した検出信号に基づいて生成された特徴検出情報の示す特徴が他方の検出装置で検出される可能性のある仮定時刻を算出し、
特徴検出情報候補特定部が、前記一方の検出装置からの一つの検出信号に基づいて生成された特徴検出情報を特定し、当該特徴検出情報から特徴増減情報を読み取って、前記他方の検出装置からの検出信号に基づいて生成された特徴検出情報のうち、前記読み取った特徴増減情報の示す増加または減少の何れかの値と同じ値を示す特徴増減情報を含む特徴検出情報を特定し、
特徴検出情報特定部が、この特定した特徴検出情報のうち、前記一方の検出装置より入力した前記一つの検出信号に含まれる特徴検出時刻を一方の成分として前記関数に代入して他方の成分を算出して得た仮定時刻と、最も時刻の近い特徴検出時刻を含む特徴検出情報を特定し、
検出信号対応関係判定部が、前記一方の検出装置より入力した一つの検出信号と、前記特徴検出情報特定部が特定した特徴検出情報の生成に用いた他方の検出装置より入力した検出信号とを、前記測定対象物の特徴点を検出した際の対応する検出信号と判定する
処理方法。 A processing method for a measuring object measuring apparatus,
The input unit inputs a detection signal indicating the characteristics of the measurement object from each of the entry side detection device and the passage side detection device installed with a predetermined installation interval in the traveling direction of the measurement object,
Each time the feature detection information generation unit inputs the detection signal from the entry side detection device and the passage side detection device, the feature increase / decrease information indicating the increase or decrease value of the feature of the measurement object and the detection signal Generate feature detection information including the feature detection time included based on the input detection signal,
The feature detection time when the entry side detection device detects the measurement object on the time axis after the function deriving unit first detects the detection signal for the measurement object with the entry side detection device; In the two-dimensional coordinate system representing the relationship with the feature detection time when the passing-side detection device detects the measurement object on the time axis, two of the approach-side detection device and the passing-side detection device A function that passes through a point having the first feature detection time in each of the detection devices as a component and a point having the last feature detection time for the measurement object in the two detection devices as components, the entry side detection device And a function representing the passage time of each feature of the measurement object in the entry side detection device and the passage side detection device, based on the average acceleration of the measurement object that has traveled between the passage side detection device and
The assumed time calculation unit calculates the other component by substituting the feature detection time included in the input detection signal into the function as one component, so that the measurement object is detected on the entry side by the average acceleration. Feature detection information generated based on a detection signal input from either the entry side detection device or the passage side detection device, assuming that the vehicle travels between the device and the passage side detection device Calculate the assumed time that the characteristic indicated by may be detected by the other detection device,
A feature detection information candidate specifying unit specifies feature detection information generated based on one detection signal from the one detection device, reads feature increase / decrease information from the feature detection information, and reads from the other detection device Identifying feature detection information including feature increase / decrease information indicating the same value as either the increase or decrease indicated by the read feature increase / decrease information among the feature detection information generated based on the detection signal of
The feature detection information specifying unit assigns the feature detection time included in the one detection signal input from the one detection device to the function as one component of the specified feature detection information, and substitutes the other component into the function. Identify the feature detection information that includes the calculated assumed time and the closest feature detection time,
The detection signal correspondence determining unit receives one detection signal input from the one detection device, and a detection signal input from the other detection device used to generate the feature detection information specified by the feature detection information specifying unit. A processing method for determining a corresponding detection signal when a feature point of the measurement object is detected. - 測定対象物測定装置のコンピュータを、
測定対象物の進行方向に所定の設置間隔を開けて設置された進入側検出装置と通過側検出装置のそれぞれより前記測定対象物の特徴を示す検出信号を入力する入力手段、
前記進入側検出装置および前記通過側検出装置より前記検出信号を入力する毎に、前記測定対象物の特徴の増加または減少の値を示す特徴増減情報と当該検出信号に含まれる特徴検出時刻とを含む特徴検出情報を、入力した検出信号に基づいて生成する特徴検出情報生成手段、
前記進入側検出装置で前記測定対象物についての前記検出信号を最初に検出した後の時間軸で前記進入側検出装置が前記測定対象物を検出した際の前記特徴検出時刻と、前記時間軸で前記通過側検出装置が前記測定対象物を検出した際の前記特徴検出時刻との関係を表す二次元の座標系において、前記進入側検出装置と前記通過側検出装置の2つの検出装置それぞれにおける最初の特徴検出時刻を成分とする点と、前記2つの検出装置における前記測定対象物に対する最後の特徴検出時刻を成分とする点とを通る関数であって、前記進入側検出装置と前記通過側検出装置の間を走行した前記測定対象物の平均加速度による、前記進入側検出装置と前記通過側検出装置での測定対象物の各特徴の通過時刻を表す関数を導く関数導出手段、
入力した検出信号に含まれる前記特徴検出時刻を一方の成分として前記関数に代入して他方の成分を算出することで、前記測定対象物が前記平均加速度で前記進入側検出装置と前記通過側検出装置の間を走行したと仮定した場合に、前記進入側検出装置または前記通過側検出装置の何れか一方の検出装置から入力した検出信号に基づいて生成された特徴検出情報の示す特徴が他方の検出装置で検出される可能性のある仮定時刻を算出する仮定時刻算出手段、
前記一方の検出装置からの一つの検出信号に基づいて生成された特徴検出情報を特定し、当該特徴検出情報から特徴増減情報を読み取って、前記他方の検出装置からの検出信号に基づいて生成された特徴検出情報のうち、前記読み取った特徴増減情報の示す増加または減少の何れかの値と同じ値を示す特徴増減情報を含む特徴検出情報を特定する特徴検出情報候補特定手段、
この特定した特徴検出情報のうち、前記一方の検出装置より入力した前記一つの検出信号に含まれる特徴検出時刻を一方の成分として前記関数に代入して他方の成分を算出して得た仮定時刻と、最も時刻の近い特徴検出時刻を含む特徴検出情報を特定する特徴検出情報特定手段、
前記一方の検出装置より入力した一つの検出信号と、前記特徴検出情報特定手段が特定した特徴検出情報の生成に用いた他方の検出装置より入力した検出信号とを、前記測定対象物の特徴点を検出した際の対応する検出信号と判定する検出信号対応関係判定手段、
として機能させるプログラム。 The computer of the measuring object measuring device
Input means for inputting a detection signal indicating the characteristics of the measurement object from each of the entry side detection device and the passage side detection device installed with a predetermined installation interval in the traveling direction of the measurement object;
Each time the detection signal is input from the entry side detection device and the passage side detection device, feature increase / decrease information indicating an increase or decrease value of the feature of the measurement object and a feature detection time included in the detection signal are obtained. Feature detection information generating means for generating feature detection information including the input based on the input detection signal;
The feature detection time when the entry side detection device detects the measurement object on the time axis after the detection signal for the measurement object is first detected by the entry side detection device, and the time axis. In the two-dimensional coordinate system representing the relationship with the feature detection time when the passing side detecting device detects the measurement object, the first in each of the two detecting devices of the approaching side detecting device and the passing side detecting device A function having a feature detection time as a component and a point having the last feature detection time for the measurement object in the two detection devices as a component, the entry side detection device and the passage side detection. A function derivation unit for deriving a function representing a passage time of each feature of the measurement object in the entry side detection device and the passage side detection device, based on an average acceleration of the measurement object that has traveled between devices;
By substituting the feature detection time included in the input detection signal into the function as one component and calculating the other component, the measurement object is detected by the average acceleration and the entry side detection device and the passage side detection. When it is assumed that the vehicle has traveled between devices, the feature indicated by the feature detection information generated based on the detection signal input from one of the entry side detection device and the passage side detection device is the other feature. Assumed time calculation means for calculating an assumed time that may be detected by the detection device;
The feature detection information generated based on one detection signal from the one detection device is specified, the feature increase / decrease information is read from the feature detection information, and the feature detection information is generated based on the detection signal from the other detection device. Feature detection information candidate specifying means for specifying feature detection information including feature increase / decrease information that indicates the same value as either the increase or decrease indicated by the read feature increase / decrease information,
Of the specified feature detection information, an assumed time obtained by substituting the feature detection time included in the one detection signal input from the one detection device into the function as one component and calculating the other component And feature detection information specifying means for specifying feature detection information including the closest feature detection time,
One detection signal input from the one detection device and a detection signal input from the other detection device used to generate the feature detection information specified by the feature detection information specifying means are feature points of the measurement object. Detection signal correspondence determination means for determining a corresponding detection signal when detecting
Program to function as.
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