CN103210433A - Vehicle behavior analysis device, vehicle behavior analysis program and drive recorder - Google Patents
Vehicle behavior analysis device, vehicle behavior analysis program and drive recorder Download PDFInfo
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- CN103210433A CN103210433A CN2011800466453A CN201180046645A CN103210433A CN 103210433 A CN103210433 A CN 103210433A CN 2011800466453 A CN2011800466453 A CN 2011800466453A CN 201180046645 A CN201180046645 A CN 201180046645A CN 103210433 A CN103210433 A CN 103210433A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0841—Registering performance data
- G07C5/085—Registering performance data using electronic data carriers
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/12—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to parameters of the vehicle itself, e.g. tyre models
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2520/00—Input parameters relating to overall vehicle dynamics
- B60W2520/10—Longitudinal speed
- B60W2520/105—Longitudinal acceleration
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2520/00—Input parameters relating to overall vehicle dynamics
- B60W2520/12—Lateral speed
- B60W2520/125—Lateral acceleration
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Abstract
The disclosed vehicle behavior analysis device automatically and reliably determines vehicle behavior indicated by status data, and is provided with: a status data receiving unit that receives status data at least including each kind of acceleration data (longitudinal acceleration, left and right acceleration, and vertical acceleration) acting on the vehicle; and a vehicle behavior determining unit (202) which uses the relative relations of the feature quantities of each kind of acceleration data (longitudinal acceleration, left and right acceleration, and vertical acceleration) in the received status data to determine the vehicle behavior indicated by the aforementioned status data.
Description
Technical field
The present invention relates to a kind of vehicle motion analysis device or vehicle motion analysis program etc., when described vehicle motion analysis device takes place accident or as dangerous situation (ヒ ヤ リ Ha ッ ト) though and so on the action that does not cause the vehicle but might become accident time that has an accident and peripheral situation etc. carry out record, make and can analyze the reason that causes aforesaid situation well etc. afterwards.
Background technology
In recent years, as vehicle action data gathering-device, developed the drive recorder of following vehicle boarded type, the drive recorder of this vehicle boarded type for example automatically carries out record to the outside and inner image of the vehicle in travelling (automobile), thereby can be to having an accident and objective situation when dangerous situation etc. occurring and driver's driving tendency are carried out ex-post analysis.Also occur following trend in addition, that is, for by drive routine being carried out ex-post analysis is prevented accident and for the reason that when accident has taken place, proves, find out accident objectively etc., carried aforesaid drive recorder at for example taxi etc.
Particularly, aforesaid vehicle action data gathering-device progressively is recorded to the status data such as inside and outside view data, acceleration information, speed data and position data in for example travelling in the storer in regular turn for example according to time sequencing.Then, with other devices the status data in the described storer is carried out reference afterwards, can analyze (with reference to patent documentation 1) to accident etc. objectively thus.
Yet, when desire is analyzed the status data that records in this way afterwards, since in the described status data except the vehicle of the determining action that comprises expression dangerous situation etc., also comprise the status data of representing exercises, therefore, must be from a plurality of status data classification of having collected and the status data of extracting desirable expression vehicle action out.
At this, be to carry out following operation in the past, that is, one by one a plurality of status data of having collected are confirmed by visual, with each status data for example be categorized as collision accident, dangerous situation, with dangerous situation irrelevant bring to a halt, simple noise etc.
Yet, for by the visual operation of one by one status data being confirmed and being classified, there is following problem, namely, not only can cause activity duration that a status data is confirmed long, and be difficult to correctly classify according to user's judgement arbitrarily.In addition, have following problem, that is, human body burden and mental burden that the user is caused are also big.
On the other hand, shown in patent documentation 2, can consider following device, this device automatically is categorized as status data the status data that is caused by noise and reaches the status data of analyzing for to actions such as dangerous situations in order to alleviate user's burden.Particularly, described device will be got rid of by the unwanted status data that noise causes based on wave height and the pulse width of the waveform of acceleration information.
Yet, being to use threshold value to come the unwanted status data that is caused by noise is reached under the situation of the device of distinguishing for the status data that actions such as dangerous situation are analyzed, there is following problem in device like that as described, that is, nicety of grading can differ widely because of the establishing method of threshold value.In addition, even if can use threshold value that the data that caused by noise are removed, also must one by one confirm remaining status data and classify by visual.
For example, if set the threshold to low threshold value, then the number of packages of the candidate dangerous situation example of extracting out from whole status data can increase, but the accuracy rate step-down of the dangerous situation example in the data of extracting out, and the ratio that comprises unwanted data becomes big.On the other hand, if set the threshold to high threshold, then the number of packages of the candidate dangerous situation example of extracting out from whole status data can reduce, but the accuracy rate of the dangerous situation example in the status data of extracting out uprises, the ratio that comprises unwanted data diminishes, yet in this case, the missing rate of dangerous situation example uprises.That is, for the method for utilizing threshold value to separate uniformly, there is compromise selection between accuracy rate and the missing rate.In addition, be to want to improve accuracy rate though threshold value is improved, and to compare by visual situation of classifying, described accuracy rate is quite low, thereby is unpractical.Therefore, in order correctly according to status data the dangerous situation example to be classified, present situation is still to need to carry out operation by visual.
The prior art document
Patent documentation
Patent documentation 1: Jap.P. open communique spy open 2007-11909 number
Patent documentation 2: No. the 4238293rd, Japanese patent gazette
Summary of the invention
The technical problem to be solved in the present invention
Therefore, the present invention is the result that the inventor scrutinizes, the inventor is conceived to each action at vehicle, there is distinctive relativeness in the characteristic quantity of each acceleration information, at first finished the present invention, main purpose of the present invention is: automatically and in the mode of high reliability determine vehicle action that status data represents and not only come the action of vehicle that status data is represented to classify by visual.
The technical scheme of technical solution problem
Namely, the invention provides a kind of vehicle motion analysis device, it is characterized in that comprising: the status data acceptance division, receive comprise the front and back acceleration that acts on vehicle, left and right sides acceleration and up and down each acceleration information of acceleration status data and comprise at least one status data in the status data of each angular acceleration data of the roll angle acceleration, angle of pitch acceleration and the crab angle acceleration that act on vehicle; And vehicle action determination portion, the relativeness of at least one characteristic quantity in the relativeness of the characteristic quantity of the relativeness of the described front and back acceleration in the status data that use receives, described left and right sides acceleration and the described characteristic quantity of each acceleration information of acceleration up and down and each angular acceleration data of described roll angle acceleration, described angle of pitch acceleration and described crab angle acceleration is determined the vehicle action that described status data is represented.
According to described vehicle motion analysis device, can use the characteristic quantity of each acceleration information or the characteristic quantity of each angular acceleration data, and determine vehicle action by the relativeness of described characteristic quantity, can determine that therefore vehicle that status data is represented moves and do not rely on visual.Thus, can not only get rid of user's random judgement and determine the vehicle action objectively, and can alleviate user's time burden, human body burden and mental burden.In addition, owing to can determine that vehicle moves according to the relativeness of the characteristic quantity of the relativeness of the characteristic quantity of each acceleration information or each angular acceleration data, therefore, compare with the scheme of only utilizing threshold value to distinguish, can obtain the high definite result of reliability.
Particularly, what the inventor scrutinized found that: in the action of the vehicle of following (1)～(3), front and back acceleration, left and right sides acceleration and up and down the characteristic quantity of each acceleration information of acceleration have distinctive relativeness.Namely, acceleration, left and right sides acceleration and up and down during each acceleration information of acceleration before and after the described status data that receives comprises, acceleration before and after consideration is used by described vehicle action determination portion, left and right sides acceleration and the relativeness of the characteristic quantity of each acceleration information of acceleration up and down, the vehicle action that described status data is represented is defined as any action in following (1)～(3).
(1) action such as dangerous situation, expression collision accident, the dangerous situation relevant with collision accident or this dangerous situation bringing to a halt in addition.
(2) stranded actions such as (げ on the ?り), kerbstone is ridden in the expression single-wheel or wheel is absorbed in irrigation canals and ditches.
(3) beat (バ ウ Application De) action, the expression because of two-wheeled by concavo-convex the beating of producing on the track.
More specifically, preferably, when the characteristic quantity of described front and back acceleration information during greater than the characteristic quantity of described left and right sides acceleration information and described acceleration information up and down, the vehicle action that described vehicle action determination portion is represented described status data is defined as actions such as described dangerous situation, when the characteristic quantity of described left and right sides acceleration information during greater than the characteristic quantity of described front and back acceleration information and described acceleration information up and down, the vehicle action that described vehicle action determination portion is represented described status data is defined as the described stranded action that waits, when the characteristic quantity of described up and down acceleration information during greater than the characteristic quantity of described front and back acceleration information and described left and right sides acceleration information, the vehicle action that described vehicle action determination portion is represented described status data is defined as the described action of beating.
In actions such as described dangerous situation, for bringing to a halt beyond collision accident and the dangerous situation further being segmented and being determined, preferably, described status data comprises the indicator data, the action message of the indicator of the described vehicle of this indicator data representation, when comprising described indicator data in the status data that is defined as action such as described dangerous situation, the vehicle action that the described status data that described vehicle action determination portion will comprise described indicator data is represented is defined as representing for the action of bringing to a halt near the curb parking in track.
In addition, the present invention also provides a kind of vehicle motion analysis program, it is characterized in that, make computing machine have function as status data acceptance division and vehicle action determination portion, described status data acceptance division, reception comprises the front and back acceleration that acts on vehicle, left and right sides acceleration and up and down each acceleration information of acceleration status data and comprise the roll angle acceleration that acts on vehicle, at least one status data in the status data of each angular acceleration data of angle of pitch acceleration and crab angle acceleration, described vehicle action determination portion, described front and back acceleration in the status data that use receives, described left and right sides acceleration and described relativeness and the described roll angle acceleration of the characteristic quantity of each acceleration information of acceleration up and down, the relativeness of at least one characteristic quantity in the relativeness of the characteristic quantity of each angular acceleration data of described angle of pitch acceleration and described crab angle acceleration is determined the vehicle action that described status data is represented.
Described vehicle motion analysis device is obtained status data from the drive recorder that is equipped on vehicle, and this status data is analyzed.Also can give drive recorder with the function of described vehicle motion analysis device.Namely, the present invention also provides a kind of drive recorder, it is characterized in that comprising: the status data acceptance division, receive comprise the front and back acceleration that acts on vehicle, left and right sides acceleration and up and down each acceleration information of acceleration status data and comprise at least one status data in the status data of each angular acceleration data of the roll angle acceleration, angle of pitch acceleration and the crab angle acceleration that act on vehicle; And vehicle action determination portion, the relativeness of at least one characteristic quantity in the relativeness of the characteristic quantity of the relativeness of the described front and back acceleration in the status data that use receives, described left and right sides acceleration and the described characteristic quantity of each acceleration information of acceleration up and down and each angular acceleration data of described roll angle acceleration, described angle of pitch acceleration and described crab angle acceleration is determined the vehicle action that described status data is represented.
According to described drive recorder, at drive recorder status data is stored in stage of storer, can determines the vehicle action that each status data is represented, therefore, need not to after the operation of classifying of the status data collected, this operation is alleviated.In addition, can only select specific action that it is stored in the storer of drive recorder, thereby can utilize storer efficiently.
The effect of invention
According to the present invention who constitutes in this way, can automatically and in the mode of high reliability determine the vehicle action that status data is represented and not use following method, this method refers to come the action of vehicle that status data is represented to classify by visual, or uses threshold value to come for example acceleration information contained in the status data is distinguished and classified.
Description of drawings
Fig. 1 is the figure that schematically shows the vehicle motion analysis system of present embodiment.
Fig. 2 is the figure of formation unit of the drive recorder of expression present embodiment.
Fig. 3 is the function constitution map of the vehicle motion analysis device of present embodiment.
Fig. 4 is the process flow diagram of action of the vehicle motion analysis device of expression present embodiment.
Fig. 5 is the vehicle action of expression in the present embodiment and the figure of the corresponding relation of the characteristic quantity of each acceleration.
Description of reference numerals
100 ... drive recorder
V ... vehicle
200 ... the vehicle motion analysis device
201 ... the status data acceptance division
202 ... vehicle action determination portion
Embodiment
Below, describe with reference to the embodiment of accompanying drawing to vehicle motion analysis of the present invention system.
＜1. system constitutes 〉
As shown in Figure 1, the vehicle motion analysis system of present embodiment comprises: drive recorder 100, outside the place ahead of automobile (vehicle) V is taken etc.; And vehicle motion analysis device 200, obtain dynamic image data that photographs by described drive recorder 100 etc., determine based on the represented dynamic image of this dynamic image data whether automobile V shows specified action.
＜2. drive recorder 〉
The situation that the action of 3 pairs of pick-up units and automobile V and peripheral situation etc. are relevant is carried out sensing, and the status data of the described situation of output expression, at this, uses filming apparatus 31, acceleration transducer 32 and position transducer 33 these three kinds of devices at least.Filming apparatus 31 for example is charge coupled device camera (CCD カ メ ラ), the automobile exterior state in vehicle the place ahead taken, and the status data (dynamic image data) of the image of output expression automobile exterior state.Acceleration transducer 32 for example is to utilize piezoresistance effect and the acceleration transducer that constitutes, and the acceleration that 32 pairs of this acceleration transducers act on the three-dimensional of vehicle carries out sensing, and the status data (acceleration information) of the described acceleration of output expression.Particularly, 32 pairs of acceleration transducers act on the front and back acceleration of the fore-and-aft direction of vehicle V, the left and right sides acceleration of left and right directions that acts on vehicle V and the acceleration up and down that acts on the above-below direction of vehicle V and carry out sensing.Position transducer 33 for example is GPS(GPS (Global Positioning System)) receiver, thereby the electric wave that this GPS receiver receives from a plurality of satellites carries out sensing to the position of vehicle V, and the status data (position data) of this position of output expression.In addition, in status data, also there are the indicator data etc. of action message of the indicator of the open/close brake data of opening/closing door of vehicle data, expression brake of the switching of the vehicle speed data that sends from the vehicle speed sensor of vehicle V, expression car door and expression vehicle V, receive described data via connector CN.In addition, described connector CN is also as power supply.
Notifying device 4 comprises: LED41 is the luminophor that exposes to surface of shell; And voice output bodies (not shown) such as hummer or loudspeaker, be built in the housing; Etc..
At this, so-called input media 5 refers to be arranged at the pushbutton switch of surface of shell.
At this, so-called communicator 6 refer to be built in the housing and with base station or vehicle motion analysis device 200 described later between for example WLAN (hardware of the usefulness of communicating by letter such as LAN (Local Area Network) (Local Area Network) or mobile phone of transmitting-receiving electric wave.
At this, so-called detachable pen recorder 7 refers to be installed on dismantledly for example CF(Compact Flash of slot) storage card or SD(Secure Digital) storage card, described slot is at the side of housing opening.
With regard to structure, signal conditioning package 8 is so-called computer circuits, signal conditioning package 8 comprises for example nonvolatile memory of CPU(central processing unit (Central Processing Unit) 81, internal storage 82() and I/O buffer circuit (also comprising AD(analog digital (Analog Digital) sometimes) converter etc.) 83 etc., this signal conditioning package 8 is built in the housing.In addition, described CPU81 moves according to the program in the regulation zone that is stored in storer 82, carries out control and the information processing of described each unit thus.
Describe simply, the usual limit of CPU81 is upgraded the various status data in travelling that is acceleration information, position data, dynamic image data etc. continuously, the limit temporarily is saved in the temporary realm that is set in the storer 82 (below be also referred to as temporary transient data store) with described data, and when producing when representing dangerous situation, accident, the unusual phenomenon that takes place etc. indirectly, the front and back that produce this phenomenon are fixing during in described status data transfer and store into normal region in the storer 82 (below be also referred to as regular record data storage part).
The situation etc. that the acceleration that acceleration information is represented (retarded velocity) surpasses the power-off of the situation of above situation of time remaining stipulated time of situation, acceleration (retarded velocity) of stipulated standard value, opening/closing door of vehicle and vehicle is equivalent to described phenomenon.At this, according to the phenomenon that has produced, have only when the speed of a motor vehicle be upper limit speed when above, when the speed of a motor vehicle be whether acceleration or retarded velocity other several conditions such as have braked when setting up simultaneously when following and when expression, just carry out data recording with this situation as triggering, thereby do not record useless data as much as possible.
In addition, from preventing from recording the viewpoint of useless data, described drive recorder also has learning functionality.That is, before carrying out data recording, must whether occur dangerous situation or had an accident etc. to driver report by described notifying device, and receive input (for example, the ON/OFF of described pushbutton switch 5) from driver's expression correctness.By carrying out described action repeatedly, come to grasp to a certain degree driver's driving tendency thus, for example, the stipulated standard value of degree of will speed up is changed etc., learns the peculiar phenomenon of this driver of expression accident indirectly etc.
In addition, the situation when being recorded according to the status data that has recorded is weighted this status data that has recorded, comes the status data that has recorded is classified according to the importance degree that should record.Then, for example, when memory span expires, from the low status data of importance degree, status data is deleted, then recorded new status data.
The status data that is recorded normally in this way is at particular place, be sent to analytic centre (not shown) wirelessly, perhaps be transferred to detachable pen recorder 7, this detachable pen recorder 7 is taken off, then be transported to analytic centre, be used for using vehicle motion analysis device 200 to carry out analysis afterwards.
＜3. vehicle motion analysis device 〉
Vehicle motion analysis device 200 is classified to the status data group that obtains by the drive recorder 100 that is equipped on a plurality of automobile A, thereby is supported analysis afterwards according to the vehicle action of each regulation.The concrete device structure of described vehicle motion analysis device 200 is the general or special purpose computing machines that comprise CPU, storer, IO interface and AD converter etc., this general or special purpose computing machine is according to the vehicle motion analysis program in the regulation zone that is stored in described storer, make concerted actions such as CPU, peripherals, thus as shown in Figure 3, performance is as the function of status data acceptance division 201, status data storage part D1, vehicle action determination portion 202 and analysis data store D2 etc.
Below with reference to Fig. 4, status data storage part D1, status data acceptance division 201, vehicle action determination portion 202, the action of analyzing data store D2 each several part and each several part are described in the lump.
Status data acceptance division 201 receives the status data that comprises dynamic image data and each acceleration information of storing in the regular record data storage part of drive recorder 100, and this status data is stored in status data storage part D1(Fig. 4, step S1).Status data acceptance division 201 can be made of receiver, described receiver receives the status data of utilizing WLAN etc. to send by the communicator that is arranged at drive recorder 100 (transmitter) 6, and described status data acceptance division 201 also can be by obtaining status data as for example CF card that is arranged at the detachable pen recorder 7 of drive recorder 100.
Status data storage part D1 storage and accumulation have the status data (Fig. 4, step S2) that comprises the taken dynamic image data of described drive recorder 100 etc.In addition, in the present embodiment, status data storage part D1 systematically stores a plurality of status data that many automobile V obtain for example according to each automobile V.
Vehicle action determination portion 202 obtains the status data that is stored among the described status data storage part D1, calculates front and back acceleration contained in each described status data, left and right sides acceleration and the characteristic quantity of each acceleration information of acceleration (Fig. 4, step S3) up and down.The vehicle of present embodiment action determination portion 202 calculates the amplitude of the acceleration waveform that each acceleration information represents or as for example standard deviation of fluctuation (ば ら つ I) yardstick, as the characteristic quantity of each acceleration information.
Then, vehicle action determination portion 202 is used the relative size relation as for example standard deviation of the characteristic quantity of each acceleration information, determines the vehicle action (Fig. 4, step S4) that status data is represented.Particularly, acceleration before and after vehicle action determination portion 202 is used, left and right sides acceleration and the relative size relation of the standard deviation of each acceleration information of acceleration up and down, the vehicle action that status data is represented is defined as any action in following (1)～(3) at least.
(1) action such as dangerous situation, expression collision accident, the dangerous situation relevant with collision accident or this dangerous situation bringing to a halt in addition.
(2) action such as stranded grade, the expression single-wheel rides up on the kerbstone or wheel is absorbed in irrigation canals and ditches.
(3) action of beating, expression because of two-wheeled by concavo-convex the beating of producing on the track.
More specifically, as shown in Figure 5, the standard deviation of the acceleration waveform of current post-acceleration data reaches the standard deviation interval of the acceleration waveform of acceleration information up and down greater than the standard deviation of the acceleration waveform of left and right sides acceleration information, and the vehicle action that vehicle action determination portion 202 is represented described status data is defined as actions such as described dangerous situation.This is based on following reason: because the impact in when collision or the impact when bringing to a halt, the front and back acceleration in each acceleration can amplitude peak ground change, and is maximum thereby the fluctuation of front and back acceleration waveform becomes.In addition, Fig. 5 is when will being categorized as described (1)～(3) by a plurality of status data that described drive recorder 100 obtains and when according to each described action status data being arranged by visual, represents the mode chart of standard deviation of each acceleration waveform of each status data.The transverse axis of Fig. 5 is represented each status data, and the longitudinal axis is represented the standard deviation of each acceleration waveform.
In addition, when the standard deviation of the acceleration waveform of described left and right sides acceleration information greater than the standard deviation of the acceleration waveform of front and back acceleration information and the standard deviation interval of the acceleration waveform of acceleration information up and down, the vehicle action that vehicle action determination portion 202 is represented described status data is defined as the described stranded action (with reference to Fig. 5) that waits.This is based on following reason: waits in the action stranded, and the only single-wheel meeting change sharp in the front-wheel of vehicle V, the left and right sides acceleration meeting amplitude peak ground change in each acceleration is maximum thereby the fluctuation of left and right sides acceleration waveform becomes thus.
In addition, when the standard deviation of the acceleration waveform of the acceleration information up and down standard deviation interval greater than the acceleration waveform of the standard deviation of the acceleration waveform of front and back acceleration information and described left and right sides acceleration information, the vehicle action that vehicle action determination portion 202 is represented described status data is defined as the described action (with reference to Fig. 5) of beating.This is based on following reason: in the action of beating, the roughly change side by side of two front-wheels of vehicle V namely, roughly side by side moves up and down, therefore the meeting of the acceleration up and down amplitude peak ground change in each acceleration, thus the fluctuation of acceleration waveform becomes maximum up and down.
In addition, when comprising described indicator data in the status data that is defined as actions such as described dangerous situation, vehicle action determination portion 202 will comprise the vehicle action that the status data of described indicator data is represented, be defined as representing for the action of bringing to a halt (roadside stops action) (with reference to Fig. 5) near the curb parking in track.Determine in this way, can further automatically carry out the refinement classification to actions such as dangerous situations thus.In addition, in Fig. 5, represent having or not of indicator in the bottom of figure with vertical fine rule.In addition, utilize hachure to represent the intensive part of indicator signal.
Then, vehicle action determination portion 202 will obtain related as the action specified data of determining the result and the status data of having determined the vehicle action in this way, and described status data and described action specified data are stored in analysis data store D2(Fig. 4, step S5).
Analyze data store D2 according to each action of each vehicle, systematically the status data that action has been determined by described vehicle action determination portion 202 and the action specified data corresponding with this status data are classified and are stored.Particularly, analyze data store D2 with the status data of correspondence and action specified data, be stored in according to actions such as dangerous situation, action such as stranded and beat and move and in the storage folder of setting.For example, in analyzing data store, be set with motion file such as dangerous situation folder, motion file folder and the motion file folder of beating such as stranded, motion file such as described dangerous situation folder stores the status data that is confirmed as actions such as dangerous situation, described motion file folder such as stranded stores and is confirmed as the stranded status data that waits action, the described motion file folder of beating stores the status data of the action that is confirmed as beating, and in each file, stores corresponding status data and action specified data.
In addition, analyze data store D2 motion file such as described dangerous situation folder is carried out sectionalization or form a social stratum, stop the motion file folder thereby set the roadside, this roadside stops the motion file folder and stops action and store this roadside stopping action for further sort out described roadside from actions such as dangerous situations.
The operator operates for example input media such as keyboard or mouse, only select to be stored in this way the status data that is classified as definite vehicle action in the status data of analyzing data store D2 thus, and this status data for example exported to output unit such as display.Perhaps, similarly only select to be classified as the status data of definite vehicle action, and this status data is passed to other analytical equipments or storer etc.
The effect of＜present embodiment 〉
Vehicle motion analysis system according to the present embodiment that constitutes in this way, can determine that vehicle moves according to front and back acceleration information, left and right sides acceleration information and standard deviation and the magnitude relationship of the standard deviation of acceleration waveform up and down of standard deviation, the left and right sides acceleration waveform of the represented front and back acceleration waveform of acceleration information up and down.Therefore, can determine the vehicle action that status data represents and do not rely on visual, thereby can not only get rid of user's random judgement and determine the vehicle action objectively, and can alleviate user's time burden, human body burden and mental burden.In addition, can according to the standard deviation of the standard deviation of front and back acceleration waveform, left and right sides acceleration waveform and up and down the magnitude relationship of the standard deviation of acceleration waveform determine the vehicle action and do not use threshold value, therefore can obtain the high definite result of reliability.
＜other are out of shape embodiment 〉
In addition, the invention is not restricted to described embodiment.
For example, used each acceleration information in said embodiment, if but drive recorder 100 comprises gyro sensor, then also can use the characteristic quantity of each angular acceleration data of the roll angle acceleration, angle of pitch acceleration and the crab angle acceleration that act on vehicle to determine the vehicle action.
In addition, in said embodiment, analyze data store and comprise according to actions such as dangerous situation, action such as stranded and beat and move and the storage folder of setting, afterwards, can select compulsory exercise simply, but be not limited thereto.For example, the vehicle motion analysis device also may further include the status data extraction unit, and this status data extraction unit is extracted the status data of the vehicle action of expression regulation out from be stored in the status data of analyzing in the data store.In addition, the status data extraction unit also can be based on the action specified data of giving status data, extract the status data of the vehicle action of expression regulation out, the vehicle action of described regulation is operated and is selected for example input media such as keyboard or mouse by the operator.
In addition, in said embodiment, the status data that drive recorder 100 is obtained is collected into after the vehicle motion analysis device, determine the vehicle action that status data is represented by this vehicle motion analysis device, but similarly, also can utilize drive recorder 100 to determine the vehicle action that status data is represented.For example, also can be following proposal: drive recorder 100 comprises status data acceptance division and vehicle action determination portion, only will be defined as the status data of specified action actions such as (for example) dangerous situations by described vehicle action determination portion, transfer and be recorded to the normal region (regular record data storage part) in the storer.
In addition, also can use the threshold value of regulation, the status data that is classified as actions such as dangerous situation is carried out sectionalization.For example, can consider to deduct the relation of the resulting value of acceleration maximal value and threshold value up and down according to the maximal value from three resultant accelerations obtaining by acceleration transducer, described status data is carried out sectionalization.
In addition, for in actions such as dangerous situation, further collision accident is segmented and determined, preferably, it is the action of expression collision accident that the vehicle action of status data being represented by following manner is defined as, that is: when left and right sides acceleration information, the characteristic quantity of acceleration information and front and back acceleration information is during significantly greater than the value of the characteristic quantity of the friction force of the ground plane of the road surface that is caused by common brake and tire up and down, being defined as is the action of expression collision accident.
In addition, the vehicle motion analysis device also can link status data and cartographic information.Particularly, contained position data in the vehicle motion analysis device behaviour in service data links cartographic information and status data.Thus, can infer according to the status data of the action that is confirmed as beating road information (for example the deterioration state on road surface etc.), thereby carry out the road analysis.
In addition, the evolutionary mode of acceleration information before and after also can using, to the collision in the collision accident action under the situations such as other vehicles or structure, and classified by the action of other vehicle collisions.That is, for actions such as described dangerous situation, in order to determine rear-end collision or by rear-end collision, preferably, according to left and right sides acceleration information, the positive and negative of characteristic quantity of acceleration information and front and back acceleration information determined up and down.
In addition, except described embodiment, also can use and represent the stranded contained indicator data in the status data of moving that wait, come in such a way this status data is handled.That is, also can come the turning left or turn right and distinguish of vehicle according to the indicator data, confirm when vehicle V turns left or whether when turning right has ridden kerbstone etc.
In addition, when turning right, to ride kerbstone in order judging, still when turning left, to have ridden kerbstone, under the situation that does not have the indicator data, observe by the positive and negative order to the waveform of left and right sides acceleration, therefore the stranded order of the tire about distinguishing can be judged.
Thus, can easily analyze driver's driving tendency, this driver's driving tendency for example refers to ride easily kerbstone when turning left, still ride kerbstone when turning right easily.
In addition, also can be by the waveform of left and right sides acceleration be observed to judge u turn, whether therefore, for example also can judge is accident or dangerous situation when carrying out u turn.
The characteristic quantity of the acceleration information of described embodiment is the standard deviation of acceleration waveform, but in addition, also can use the discrete of acceleration waveform, can also use the mean value of acceleration.In addition, for each acceleration, also can use expression respectively to move the calculated value of distinctive magnitude relationship.
In addition, the invention is not restricted to described embodiment, in the scope that does not break away from the technology of the present invention thought, can carry out various distortion certainly.
Industrial applicibility
The present invention of Gou Chenging as described above is not only to classify by the action of the visual vehicle that status data is represented, but can automatically and in the mode of high reliability determine the vehicle action that status data is represented.
Claims (7)
1. vehicle motion analysis device is characterized in that comprising:
The status data acceptance division, receive comprise the front and back acceleration that acts on vehicle, left and right sides acceleration and up and down each acceleration information of acceleration status data and comprise at least one status data in the status data of each angular acceleration data of the roll angle acceleration, angle of pitch acceleration and the crab angle acceleration that act on vehicle; And
Vehicle action determination portion, the relativeness of at least one characteristic quantity in the relativeness of the characteristic quantity of the relativeness of the described front and back acceleration in the status data that use receives, described left and right sides acceleration and the described characteristic quantity of each acceleration information of acceleration up and down and each angular acceleration data of described roll angle acceleration, described angle of pitch acceleration and described crab angle acceleration is determined the vehicle action that described status data is represented.
2. vehicle motion analysis device according to claim 1 is characterized in that,
When the described status data that receives comprises each acceleration information of described front and back acceleration, described left and right sides acceleration and described acceleration up and down,
Described vehicle action determination portion is used described front and back acceleration, described left and right sides acceleration and the described relativeness of the characteristic quantity of each acceleration information of acceleration up and down, the vehicle action that described status data is represented is defined as actions such as dangerous situation, any action in action such as stranded and the action of beating, action such as described dangerous situation expression collision accident, bringing to a halt beyond the dangerous situation relevant with described collision accident or this dangerous situation, kerbstone is ridden in described action expression single-wheel such as stranded or wheel is absorbed in irrigation canals and ditches, described beat the action expression because of two-wheeled by concavo-convex the beating of producing on the track.
3. vehicle motion analysis device according to claim 2 is characterized in that,
When the characteristic quantity of described front and back acceleration information during greater than the characteristic quantity of described left and right sides acceleration information and described acceleration information up and down, the vehicle action that described vehicle action determination portion is represented described status data is defined as actions such as described dangerous situation,
When the characteristic quantity of described left and right sides acceleration information during greater than the characteristic quantity of described front and back acceleration information and described acceleration information up and down, the vehicle action that described vehicle action determination portion is represented described status data is defined as the described stranded action that waits,
When the characteristic quantity of described up and down acceleration information during greater than the characteristic quantity of described front and back acceleration information and described left and right sides acceleration information, the vehicle action that described vehicle action determination portion is represented described status data is defined as the described action of beating.
4. vehicle motion analysis device according to claim 3 is characterized in that,
Described status data comprises the indicator data, the action message of the indicator of the described vehicle of this indicator data representation,
When comprising described indicator data in the status data that is defined as action such as described dangerous situation, the vehicle action that the described status data that described vehicle action determination portion will comprise described indicator data is represented is defined as representing for the action of bringing to a halt near the curb parking in track.
5. vehicle motion analysis device according to claim 1 is characterized in that,
The characteristic quantity of described each acceleration information or described each angular acceleration data is the standard deviation value of the acceleration waveform represented of described each acceleration information or described each angular acceleration data.
6. a vehicle motion analysis program is characterized in that,
Make computing machine have function as status data acceptance division and vehicle action determination portion,
Described status data acceptance division, reception comprise the front and back acceleration that acts on vehicle, left and right sides acceleration and up and down each acceleration information of acceleration status data and comprise at least one status data in the status data of each angular acceleration data of the roll angle acceleration, angle of pitch acceleration and the crab angle acceleration that act on vehicle
Described vehicle action determination portion, the relativeness of at least one characteristic quantity in the relativeness of the characteristic quantity of the relativeness of the described front and back acceleration in the status data that use receives, described left and right sides acceleration and the described characteristic quantity of each acceleration information of acceleration up and down and each angular acceleration data of described roll angle acceleration, described angle of pitch acceleration and described crab angle acceleration is determined the vehicle action that described status data is represented.
7. drive recorder is characterized in that comprising:
The status data acceptance division, receive comprise the front and back acceleration that acts on vehicle, left and right sides acceleration and up and down each acceleration information of acceleration status data and comprise at least one status data in the status data of each angular acceleration data of the roll angle acceleration, angle of pitch acceleration and the crab angle acceleration that act on vehicle; And
Vehicle action determination portion, the relativeness of at least one characteristic quantity in the relativeness of the characteristic quantity of the relativeness of the described front and back acceleration in the status data that use receives, described left and right sides acceleration and the described characteristic quantity of each acceleration information of acceleration up and down and each angular acceleration data of described roll angle acceleration, described angle of pitch acceleration and described crab angle acceleration is determined the vehicle action that described status data is represented.
Applications Claiming Priority (3)
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| JP2010-215479 | 2010-09-27 | ||
| JP2010215479 | 2010-09-27 | ||
| PCT/JP2011/071646 WO2012043388A1 (en) | 2010-09-27 | 2011-09-22 | Vehicle behavior analysis device, vehicle behavior analysis program and drive recorder |
Publications (1)
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| CN103210433A true CN103210433A (en) | 2013-07-17 |
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| CN2011800466453A Pending CN103210433A (en) | 2010-09-27 | 2011-09-22 | Vehicle behavior analysis device, vehicle behavior analysis program and drive recorder |
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| JP (1) | JP6027743B2 (en) |
| CN (1) | CN103210433A (en) |
| SG (1) | SG188578A1 (en) |
| TW (1) | TWI490496B (en) |
| WO (1) | WO2012043388A1 (en) |
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| TW201219789A (en) | 2012-05-16 |
| TWI490496B (en) | 2015-07-01 |
| WO2012043388A1 (en) | 2012-04-05 |
| SG188578A1 (en) | 2013-04-30 |
| JP6027743B2 (en) | 2016-11-16 |
| JPWO2012043388A1 (en) | 2014-02-06 |
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