WO2021024495A1 - Système, procédé et programme de notification des incidents pendant la conduite - Google Patents
Système, procédé et programme de notification des incidents pendant la conduite Download PDFInfo
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- WO2021024495A1 WO2021024495A1 PCT/JP2019/031527 JP2019031527W WO2021024495A1 WO 2021024495 A1 WO2021024495 A1 WO 2021024495A1 JP 2019031527 W JP2019031527 W JP 2019031527W WO 2021024495 A1 WO2021024495 A1 WO 2021024495A1
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- 238000000034 method Methods 0.000 title claims description 11
- 230000006399 behavior Effects 0.000 claims description 81
- 238000001514 detection method Methods 0.000 claims description 32
- 238000004891 communication Methods 0.000 description 16
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- 238000010586 diagram Methods 0.000 description 6
- 230000001133 acceleration Effects 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 4
- 230000036772 blood pressure Effects 0.000 description 4
- 230000036760 body temperature Effects 0.000 description 4
- 238000010191 image analysis Methods 0.000 description 4
- 206010012289 Dementia Diseases 0.000 description 3
- 210000004556 brain Anatomy 0.000 description 3
- 206010016256 fatigue Diseases 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 206010020751 Hypersensitivity Diseases 0.000 description 2
- 208000026935 allergic disease Diseases 0.000 description 2
- 230000007815 allergy Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000000172 allergic effect Effects 0.000 description 1
- 208000010668 atopic eczema Diseases 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000003825 pressing Methods 0.000 description 1
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams
- G08G1/127—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams to a central station ; Indicators in a central station
- G08G1/13—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams to a central station ; Indicators in a central station the indicator being in the form of a map
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
Definitions
- the present invention relates to a driving incident notification system, method and program for notifying an administrator of an incident considering the physical condition of a driver while driving.
- the present invention is related to IoT (Internet of Things), and the technical field corresponds to G06Q or the like in the IPC classification.
- Patent Document 1 cannot notify the administrator of an incident in consideration of the physical condition of the driver while driving.
- an object of the present invention is to provide a driving incident notification system, method and program for notifying an administrator of an incident considering the physical condition of a driver while driving.
- the first acquisition means for acquiring the biological information of the driver during driving, the first detection means for analyzing the acquired biological information to detect the physical condition of the driver, and the detected physical condition are When a predetermined condition is satisfied, the first determination means for determining the first incident, the second acquisition means for acquiring the operation information of the driver, and the acquired operation information are analyzed to operate the driver.
- the second detecting means for detecting the above, the second determining means for determining the second incident when the detected operation satisfies a predetermined condition, and the behavior information of the vehicle driven by the driver are acquired.
- the third acquisition means and the third detection means that analyzes the acquired behavior information of the vehicle to detect the behavior of the vehicle and the detected behavior are collated with the road sign information to comply with the law.
- a serious incident occurs when the combination of the third determination means for determining the third incident, the first incident, the second incident and / or the third incident, if not present, satisfies a predetermined condition.
- an in-driving incident notification system (the system may be a single computer) including a determination means for determining that the event has occurred and a notification means for notifying the administrator of related information regarding the occurrence of the serious incident. ..
- the step of acquiring the biological information of the driver during driving, the step of analyzing the acquired biological information to detect the physical condition of the driver, and the detected physical condition satisfy predetermined conditions.
- a step of determining the first incident, a step of acquiring the operation information of the driver, a step of analyzing the acquired operation information to detect the operation of the driver, and the detected step When the operation satisfies a predetermined condition, the step of determining the second incident, the step of acquiring the behavior information of the vehicle being driven by the driver, and the analysis of the acquired behavior information of the vehicle are performed.
- a step of determining that a serious incident has occurred and a step of notifying the administrator of relevant information regarding the occurrence of the serious incident when the combination of and / or the third incident meets a predetermined condition. Provide a driving incident notification method.
- a step of acquiring the biological information of the driver while driving, a step of analyzing the acquired biological information to detect the physical condition of the driver, and the detected physical condition are predetermined.
- the step of detecting the behavior of the vehicle the step of collating the detected behavior with the road sign information, and determining the third incident when the vehicle does not comply with the law, the first incident, and the like.
- the step of determining that a serious incident has occurred and the relevant information regarding the occurrence of the serious incident are notified to the administrator.
- the biological information of the driver during driving is acquired, the biological information is analyzed, the physical condition is detected, and when the detected physical condition satisfies a predetermined condition, it is determined as the first incident and the driver
- the motion information is acquired, the motion information is analyzed, the motion is detected, and when the detected motion satisfies a predetermined condition, it is determined as a second incident, the vehicle behavior information is acquired, and the behavior information is analyzed. , If the behavior is detected and the detected behavior is collated with the road sign information and the law is not complied with, it is determined as the third incident, and the combination of the first incident and the second incident and / or the third incident is determined.
- the present invention acquires the biological information of the driver during driving, analyzes the biological information, detects the physical condition, and if the detected physical condition satisfies a predetermined condition, determines that it is the first incident and operates the driver.
- Information is acquired, motion information is analyzed, motion is detected, and when the detected motion satisfies a predetermined condition, it is determined as a second incident, vehicle behavior information is acquired, and the behavior information is analyzed. If the behavior is detected and the detected behavior is collated with the road sign information and the law is not complied with, it is determined as the third incident, and the combination of the first incident and the second incident and / or the third incident is predetermined. If the above conditions are met, it is determined that a serious incident has occurred, and the administrator is notified of the relevant information of the serious incident.
- FIG. 1 is a conceptual diagram showing an outline of the in-operation incident notification system according to the present embodiment.
- the server 50 the terminal 20 mounted on the vehicle 10
- the terminal of the administrator 90 preferably a mobile terminal such as a smartphone or tablet
- the vehicle 10 is equipped with a driver biometric information sensing unit 40, a vehicle information sensing unit 42, and a driver motion sensing unit 44, and the information detected by these is transmitted to the terminal 20 by short-range wireless communication, and the terminal 20 Sends the received information to the server 50 via the communication unit and the network.
- the driver biometric information sensing unit 40 includes, for example, a handle cover type electrocardiograph 22 and a seat cover type electrocardiograph 24, whereby an electrocardiographic waveform which is biometric information of the driver 12 can be obtained. Further, the driver biological information sensing 40 may acquire biological information such as pulse wave, electroencephalogram, blood pressure, and body temperature in addition to the electrocardiographic waveform.
- the acquired biometric information of the driver during driving is transmitted to the server 50 via the terminal 20, for example (step S1).
- the server 50 analyzes the acquired biological information to detect the physical condition of the driver 12 (for example, fatigue, drowsiness, dementia, depression, concentration, possibility of sudden change, allergic symptom, etc.), and the detected physical condition is determined. When a predetermined condition is satisfied (for example, it is better not to drive because the degree of fatigue is high), it is determined as the first incident.
- the driver motion sensing unit 44 includes, for example, IoT (Internet of Things) drive recorders 30A and 30B including a camera for the outside of the vehicle and a camera for the inside of the vehicle, and an image of the camera for the vehicle interior, which is operation information of the driver 12, can be obtained. Further, the driver motion sensing unit 44 may acquire motion information of the driver 12 from a handle sensor, a motion sensor, or the like (not shown) in addition to the image for the inside of the vehicle. The acquired operation information of the driver 12 may be transmitted to the server 50 via the communication unit of the IoT drive recorders 30A and 30B, or may be transmitted to the server 50 via the terminal 20 (step S2). ).
- IoT Internet of Things
- the server 50 analyzes the acquired operation information, detects the operation of the driver 12, and when the detected operation satisfies a predetermined condition (for example, inattentive driving or driving while operating a mobile terminal). Is off for 2 seconds or more, sleepy movement, etc.), it is judged as a second incident.
- a predetermined condition for example, inattentive driving or driving while operating a mobile terminal. Is off for 2 seconds or more, sleepy movement, etc.), it is judged as a second incident.
- the IoT drive recorders 30A and 30B are also used for vehicle behavior detection as will be described later, and also perform constant recording and video cutting.
- the vehicle behavior sensing unit 42 includes, for example, an outward drive recorder 26, a danger notification button 28, and the IoT drive recorders 30A and 30B, which perform inter-vehicle distance, lane departure, pressing date and time, constant recording, video cutting, and the like.
- the behavior information of the vehicle 10 (for example, speed, acceleration, brake, position information, etc.) is acquired (step S3).
- the acquired behavior information of the vehicle 10 may be transmitted to the server 50 via the terminal 20, or may be transmitted directly from the sensors to the server 50 when the sensors have a communication function. Good.
- the server 50 analyzes the acquired behavior information, detects the behavior of the vehicle 10, and collates the detected behavior with the road sign information (for example, image analysis of the external cameras of the IoT drive recorders 30A and 30B). If the road sign is specified by the camera, the road sign is specified from the map information, etc.) and the law is not complied with, it is judged as the third incident.
- the road sign information for example, image analysis of the external cameras of the IoT drive recorders 30A and 30B.
- the server 50 determines that a serious incident has occurred when the combination of the first incident and the second incident and / or the third incident meets a predetermined condition, and the related information regarding the occurrence of the serious incident.
- the administrator 90 is notified (occurrence time, occurrence location, occurrence driver, occurrence vehicle, incident content, drive recorder image (moving image or still image), etc.) (step S4).
- the notification to the administrator 90 is preferably a notification to a mobile terminal such as a smartphone or tablet.
- the administrator 90 can quickly obtain the incident occurrence information of the driver 12 and take the next action.
- the notification to the PC of the administrator 90 may also be performed.
- the server 50 analyzes the vehicle behavior information acquired in step S3, detects a dangerous driving degree (for example, sudden start, sudden braking, sudden steering, etc.), and determines the detected dangerous driving degree. If the condition of the above is satisfied, it may be determined as the fourth incident. In this case, when the combination of the first incident, the second incident and / or the third incident, and the fourth incident meets the predetermined conditions, it is determined that the incident is a serious incident, and a serious incident has occurred. Notify administrator 90 of relevant information regarding.
- a dangerous driving degree for example, sudden start, sudden braking, sudden steering, etc.
- the server 50 may learn the individual difference of the driver 12 and optimize a predetermined condition for determining each incident for each driver 12, and may optimize the predetermined conditions according to the physical condition of the driver 12 before departure. Predetermined conditions may be optimized.
- the server 50 described above may be a single computer, for example, a terminal. Further, the functional configuration described later may be a computer system (cloud) executed by different computers. Further, in the present embodiment, although many processes are executed on the server 50, information acquisition, analysis / detection, and incident determination may be performed on the edge (sensors, etc.) side. By performing a lot of processing on the edge side, the amount of data transmitted to the server 50 can be reduced.
- the vehicle 10 obtains the driver biometric information sensing unit 40 for obtaining the biometric information of the driver 12, the vehicle information sensing unit 42 for obtaining the behavior information of the vehicle 10 being driven by the driver 12, and the operation information of the driver 12. It is provided with a driver motion sensing unit 44 for obtaining.
- the driver biometric information sensing unit 40 includes a steering wheel type electrocardiograph 22 and a seat cover type electrocardiograph 24.
- the vehicle behavior sensing unit 42 includes a vehicle outward drive recorder 26, a danger notification button 28, and the like.
- the danger notification button 28 is a button that can be pressed when an incident occurs that the driver 12 notices inside or outside the vehicle regardless of various sensing devices, and is for obtaining incident occurrence information at the discretion of the driver 12. For example, when there is an interruption in front of the driving vehicle, when there is a falling object or a scattered object, or when there is an event that may lead to a danger that cannot be detected by the in-vehicle device, the driver 12 himself determines and presses the button. When the danger notification button 28 is pressed, the time and position are recorded as incident occurrence information, and for example, an image (moving image or still image) captured by the drive recorder is cut out and transmitted to the server 50.
- the IoT drive recorders 30A and 30B also sense the behavior of the vehicle 10 together with these.
- the driver motion sensing unit 44 includes IoT drive recorders 30A and 30B provided with a camera for the outside of the vehicle and a camera for the inside of the vehicle.
- the communication unit 46 transmits information obtained by various sensors and an image (moving image or still image) captured by the drive recorder to the server 50 and provides the information via the network. Of course, other information may be provided as needed.
- the server 50 includes a processor 52, a memory 54, a storage 56, and a communication unit 68, which are connected by a bus (not shown).
- the processor 52 is configured by, for example, a CPU (Central Processing Unit), and performs various processes by reading and executing various programs stored in the memory 54.
- the memory 54 stores a program to be executed by the processor 52, and is composed of, for example, a ROM (Read Only Memory) or a RAM (Random Access Memory). For example, various means shown in FIG. 4 are stored.
- the storage 56 includes acquired information 58, first incident determination condition 50, second incident determination condition 62, road sign information 63, fourth incident determination condition 64, serious incident determination condition 65, incident-related information 66, map information 67, and the like. It stores a control program (not shown).
- the acquired information 58 includes, for example, biological information (electrocardiogram, pulse wave, brain wave, blood pressure, body temperature, etc.) of the driver 12 while driving, operation information of the driver 12 (vehicle inward camera image, handle sensor information, motion sensor information, etc.). ) And the behavior information (speed, acceleration, brake, position information, etc.) of the vehicle 10 driven by the driver 12.
- biological information electrocardiogram, pulse wave, brain wave, blood pressure, body temperature, etc.
- operation information of the driver 12 vehicle inward camera image, handle sensor information, motion sensor information, etc.
- behavior information speed, acceleration, brake, position information, etc.
- the first incident determination condition 60 is a determination standard for analyzing the acquired biological information to detect the physical condition of the driver 12 and determining whether or not the detected physical condition corresponds to the first incident. For example, if the driver 12 has a high degree of fatigue, there is a standard that it is better not to drive.
- the second incident determination condition 62 is a determination criterion for analyzing the acquired operation information of the driver 12 to detect the operation of the driver 12 and determining whether or not the detected operation corresponds to the second incident. is there. For example, if the line of sight is off for 2 seconds or more during inattentive driving or driving while using a mobile terminal, or if the driver behaves in a sleepy manner, a standard is set to correspond to the second incident.
- the road sign information 63 analyzes the acquired behavior information of the driver 12 to detect the behavior of the vehicle 10, and determines whether or not the detected behavior corresponds to the third incident depending on whether or not the detected behavior complies with the law. It is a standard to do. For example, it is determined whether or not the behavior of the vehicle 10 complies with the law by specifying the road sign from the image analysis of the vehicle outward camera, specifying the road sign from the map information, and the like.
- the fourth incident determination condition 64 is a determination criterion for analyzing the acquired behavior information of the vehicle 10 to detect the dangerous driving degree and determining whether or not the dangerous driving degree corresponds to the fourth incident. .. For example, it can be determined by using a reference in which the behavior information of the vehicle 10 and the driving content are associated with each other. Specifically, the behavior information is analyzed and the vehicle collides with the vehicle in front when traveling at the same vehicle speed. If there is a high possibility that an accident will occur if you continue driving, such as when the occurrence of G is extremely large in any of the top, bottom, left, right, front and back, or if it is judged to be in a dangerous state If this is the case, there is a standard that it corresponds to the fourth incident.
- the serious incident determination condition 65 is a criterion for determining whether or not the combination of the first incident and the second incident and / or the third incident corresponds to a serious incident. Further, when the determination of the fourth incident is performed, in order to determine whether or not the combination of the first incident, the second incident and / or the third incident, and the fourth incident corresponds to a serious incident. Is the standard of.
- Incident-related information 67 is related information regarding the occurrence of a serious incident (for example, occurrence time, occurrence location, occurrence driver, occurrence vehicle, incident content, drive recorder image (moving image or still image), etc.).
- Map information 67 is information used when the terminal of the administrator 90 is shown with a map related information regarding the occurrence of a serious incident. Further, as described above, the map information 67 may be used to specify the road sign information 63. In addition, when information on traffic is added, such as a place where an accident or traffic jam is likely to occur, it can also be used when selecting an operation route.
- the communication unit 68 receives and acquires the information obtained by the various sensors of the vehicle 10 and the image (moving image or still image) captured by the drive recorder via the network. Of course, other information may be acquired as needed.
- the server 50 includes the first acquisition means 70, the first detection means 71, the first determination means 72, the second acquisition means 73, the second detection means 74, the second determination means 76, and the third acquisition means. 77, a third detection means 78, a third determination means 80, a fourth detection means 81, a fourth determination means 82, a determination means 84, a notification means 86, and a learning means 88 are provided.
- the first acquisition means 70 acquires biological information (electrocardiogram, pulse wave, brain wave, blood pressure, body temperature, etc.) of the driver 12 while driving.
- biological information electronic information
- the biometric information obtained by the driver biometric information sensing unit 40 of the vehicle 10 is transmitted to the server 50 via the terminal 20, and the server 50 acquires the biometric information by receiving the transmitted information.
- the acquired biometric information is stored in the acquired information 58 of the storage 56.
- the first detection means 71 analyzes the biological information acquired by the first acquisition means 70 and detects the physical condition of the driver 12 (fatigue, drowsiness, dementia, depression, concentration, possibility of sudden change, allergy determination, etc.). To do.
- the first determination means 72 determines that the physical condition detected by the first detection means 71 is a first incident when a predetermined condition (high degree of fatigue and better not to drive, etc.) is satisfied. The determination of whether or not it is the first incident is performed depending on whether or not the first incident determination condition 60 is satisfied.
- the second acquisition means 73 acquires the operation information of the driver 12 (image of the inward camera, handle sensor information, motion sensor information, etc.). For example, the operation information of the driver 12 obtained by the driver operation sensing unit 44 of the vehicle 10 is transmitted to the server 50 directly by the IoT drive recorders 30A and 30B or via the terminal 20, and the server 50 transmits the transmitted information. The operation information of the driver 12 is acquired by receiving. The acquired operation information is stored in the acquired information 58 of the storage 56.
- the second detection means 74 analyzes the operation information acquired by the second acquisition means 73 and detects the operation of the driver 12.
- the second determination means 76 seems to be sleepy when the operation detected by the second detection means 74 satisfies a predetermined condition (when the line of sight is off for 2 seconds or more during inattentive driving / driving while operating the mobile terminal). It is determined to be a second incident when an operation is performed. Whether or not it is a second incident is determined based on whether or not the second incident determination condition 62 is satisfied.
- the third acquisition means 77 acquires behavior information (speed, acceleration, brake, position information, etc.) of the vehicle 10 being driven by the driver 12.
- the behavior information of the vehicle 10 obtained by the vehicle behavior sensing unit 42 of the vehicle 10 is transmitted to the server 50 via the terminal 20.
- the behavior information of the vehicle 10 may be transmitted directly from the edge side to the server 50.
- the server 50 acquires the behavior information of the vehicle 10 by receiving the transmitted information.
- the acquired behavior information is stored in the acquired information of the storage 56.
- the third detection means 78 analyzes the behavior information acquired by the third acquisition means 77 to detect the behavior of the vehicle 10.
- the third determination means 80 collates the behavior detected by the third detection means 78 with the road sign information 63 (identification of the road sign by image analysis of the vehicle outward camera, identification of the road sign from the map information, etc.) and complies with the law. If this is not the case, it is determined to be a third incident.
- the fourth detection means 81 analyzes the behavior information of the vehicle 10 acquired by the third acquisition means 77 to detect the degree of dangerous driving (sudden start, sudden braking, sudden steering, etc.).
- the fourth determination means 82 determines the fourth incident when the degree of dangerous driving detected by the fourth detection means 81 satisfies a predetermined condition. The determination as to whether or not it is the fourth incident is performed depending on whether or not the fourth incident determination condition 64 is satisfied.
- the determination means 84 determines that a serious incident has occurred when the combination of the first incident and the second incident and / or the third incident satisfies a predetermined condition. Whether or not it is a serious incident is determined based on whether or not the serious incident determination condition 65 is satisfied. When the fourth incident is determined, the combination of the first incident, the second incident and / or the third incident, and the fourth incident satisfies a predetermined condition (serious incident determination condition 65). In addition, it is judged as a serious incident.
- the notification means 86 notifies the administrator 90 of related information (occurrence time, occurrence location, occurrence driver, occurrence vehicle, incident content, drive recorder image (video or still image), etc.) regarding the occurrence of a serious incident. is there.
- the incident-related information 66 is transmitted to the administrator terminal 92 via the communication unit 68 and displayed on the display unit 94 of the administrator terminal 92 to give a notification.
- the means of notification is not limited to this.
- the learning means 88 learns the individual difference of the driver 12, and among the predetermined conditions (first incident determination condition 60, second incident determination condition 62, fourth incident determination condition 64, serious incident determination condition 65) for each driver. One or more of the conditions) are optimized. By reflecting the individual differences of the drivers 12 in the incident determination conditions, more accurate incident determination can be performed. Further, the learning means 88 is among the predetermined conditions (first incident determination condition 60, second incident determination condition 62, fourth incident determination condition 64, serious incident determination condition 65) according to the physical condition of the driver 12 before departure. One or more of the conditions) may be optimized. By reflecting the physical condition of the driver 12 before departure in the incident determination condition, it is possible to make a more accurate determination of the incident by taking into account the physical condition of the driver 12 on the day.
- the administrator terminal 92 is preferably a mobile terminal such as a smartphone or tablet. This is to make it easier for the administrator 90 to quickly obtain the incident occurrence information of the driver 12 and take the next action.
- the administrator terminal 92 includes a display unit 94, an input unit 96, and a communication unit 98.
- the display unit 94 and the input unit 96 are, for example, a touch panel, but the present invention is not limited thereto.
- the communication unit 98 receives the incident-related information 66 from the server 50 via the network. Of course, other information may be received, or information may be provided (transmitted) to the server 50. It should be noted that the administrator terminal 92 does not prevent the use of a PC or the like in combination with the above-mentioned mobile terminal such as a smartphone or tablet.
- the first acquisition means 70 of the server 50 acquires the biological information (electrocardiogram, pulse wave, brain wave, blood pressure, body temperature, etc.) of the driver 12 during driving (step S10).
- the biometric information obtained by the driver biometric information sensing unit 40 of the vehicle 10 is transmitted to the server 50 via the terminal 20, and the server 50 receives the transmitted information to acquire the biometric information.
- the acquired biometric information is stored in the acquired information 58 of the storage 56.
- the first detection means 71 of the server 50 analyzes the biological information acquired by the first acquisition means 70, and the physical condition of the driver 12 (fatigue, drowsiness, dementia, depression, concentration, possibility of sudden change, etc. (Allergy determination, etc.) is detected (step S12).
- the first determination means 72 of the server 50 determines that the physical condition detected by the first detection means 71 is the first incident when the predetermined condition is satisfied (the degree of fatigue is high and it is better not to drive). (Step S14). The determination of whether or not it is the first incident is performed depending on whether or not the first incident determination condition 60 is satisfied.
- the second acquisition means 73 acquires the operation information of the driver 12 (image of the inward camera, handle sensor information, motion sensor information, etc.) (step S20). ).
- the operation information of the driver 12 obtained by the driver operation sensing unit 44 of the vehicle 10 is transmitted to the server 50 directly by the IoT drive recorders 30A and 30B or via the terminal 20, and the information transmitted by the server 50.
- the operation information of the driver 12 is acquired by receiving.
- the acquired operation information is stored in the acquired information 58 of the storage 56.
- the second detection means 74 of the server 50 analyzes the operation information acquired by the second acquisition means 73 and detects the operation of the driver 12 (step S22).
- the second determination means 76 fell asleep when the operation detected by the second detection means 74 satisfied a predetermined condition (distracted driving, driving while operating the mobile terminal and deviating from the line of sight for 2 seconds or more). When such an operation is performed), it is determined as a second incident (step S24). Whether or not it is a second incident is determined based on whether or not the second incident determination condition 62 is satisfied.
- the third acquisition means 77 of the server 50 provides behavior information (speed, acceleration, brake, position information, etc.) of the vehicle 10 driven by the driver 12.
- the behavior information of the vehicle 10 obtained by the vehicle behavior sensing unit 42 of the vehicle 10 is transmitted to the server 50 via the terminal 20.
- the behavior information of the vehicle 10 may be transmitted directly from the edge side to the server 50.
- the server 50 acquires the behavior information of the vehicle 10 by receiving the transmitted information.
- the acquired behavior information is stored in the acquired information 58 of the storage 56.
- the third detection means 78 of the server 50 analyzes the behavior information acquired by the third acquisition means 77 and detects the behavior of the vehicle 10 (step S32).
- the third determination means 80 of the server 50 collates the behavior detected by the third detection means 78 with the road sign information 63 (road sign identification by image analysis of the vehicle outward camera, road sign from map information). (Specification, etc.), if it does not comply with the law, it is determined as a third incident (step S34).
- the determination means 84 of the server 50 determines that a serious incident has occurred when the combination of the first incident and the second incident and / or the third incident satisfies a predetermined condition (step S40). ). Whether or not it is a serious incident is determined based on whether or not the serious incident determination condition 65 is satisfied.
- the notification means 86 of the server 50 provides the administrator 90 with related information (occurrence time, occurrence location, occurrence driver, occurrence vehicle, incident content, drive recorder image (video or still image), etc.) regarding the occurrence of a serious incident.
- related information occurrence time, occurrence location, occurrence driver, occurrence vehicle, incident content, drive recorder image (video or still image), etc.
- the incident-related information 66 is transmitted to the administrator terminal 92 via the communication unit 68 and displayed on the display unit 94 of the administrator terminal 92 to give a notification.
- the means of notification is not limited to this.
- FIG. 7 shows a display example of serious incident-related information displayed on the administrator terminal 92.
- the display unit 94 of the administrator terminal 92 As shown in FIG. 7, on the display unit 94 of the administrator terminal 92, as "serious event notification", “vehicle number: a 111”, “employee number: BB123456", “occurrence event: forward collision warning", " The map 101 is displayed together with the text information such as "occurrence time: 2019/04/19 13:27:30".
- the icon 102 is shown at the point where the serious event occurred.
- a screen for playing a moving image is displayed below the map 101.
- the image 106 shown on the right side of FIG. 6 is shown, the outside image 106A is shown in the upper row, and the outside image 106A is shown in the lower row.
- the inside image 106B is shown in 106B, and the state outside the car and the state inside the car (the state of the driver) can be confirmed. Note that these images may be still images or moving images.
- the terminal of the administrator 90 is notified, which helps to perform appropriate follow-up and prevent an accident. ..
- the administrator 90 can quickly obtain the incident occurrence information of the driver 12 and take the next action.
- the fourth server 50 when the occurrence of the fourth incident is taken into consideration in the determination of the serious incident, the fourth server 50 is performed in parallel with steps S10 to 14, steps S20 to 24, and steps S30 to 34 described above.
- the detection means 81 analyzes the behavior information of the vehicle 10 acquired by the third acquisition means 77 to detect the degree of dangerous driving (sudden start, sudden braking, sudden steering, etc.).
- the fourth determination means 82 of the server 50 determines that it is a fourth incident when the dangerous driving degree detected by the fourth detection means 81 satisfies a predetermined condition. The determination as to whether or not it is the fourth incident is performed depending on whether or not the fourth incident determination condition 64 is satisfied.
- the determination means of the server 50 is that the combination of the first incident, the second incident and / or the third incident, and the fourth incident is a predetermined condition (serious incident determination).
- the condition 65) is satisfied, it is determined as a serious incident.
- the individual difference of the driver 12 is learned by the learning means 88, and predetermined conditions (first incident determination condition 60, second incident determination condition 62, fourth incident determination condition 64, seriousness) are learned for each driver.
- predetermined conditions first incident determination condition 60, second incident determination condition 62, fourth incident determination condition 64, seriousness
- One or more of the incident determination conditions 65 may be optimized. By reflecting the individual differences of the drivers 12 in the incident determination conditions, more accurate incident determination can be performed.
- the learning means 88 is among the predetermined conditions (first incident determination condition 60, second incident determination condition 62, fourth incident determination condition 64, serious incident determination condition 65) according to the physical condition of the driver 12 before departure.
- One or more of the conditions may be optimized. By reflecting the physical condition of the driver 12 before departure in the incident determination condition, it is possible to make a more accurate determination of the incident by taking into account the physical condition of the driver 12 on the day.
- the server 50 may be a single computer, for example, a terminal.
- the above-mentioned functional configuration may be a computer system (cloud) executed by different computers.
- information acquisition, analysis / detection, and incident determination may be performed on the edge (sensors, etc.) side. By performing a lot of processing on the edge side, the amount of data transmitted to the server 50 can be reduced.
- the present invention may be provided as a program executed by the server 50.
- the program may be provided as recorded on a computer-readable recording medium or may be downloaded over a network.
- the present invention may also be provided as an invention of the method.
- the biometric information of the driver during driving is acquired, the biometric information is analyzed, the physical condition is detected, and if the detected physical condition satisfies a predetermined condition, it is determined as the first incident and the driver.
- the motion information of the vehicle is acquired, the motion information is analyzed, the motion is detected, and the detected motion satisfies a predetermined condition, it is determined as a second incident, the vehicle behavior information is acquired, and the behavior information is analyzed.
- the behavior is detected and the detected behavior is collated with the road sign information and the law is not complied with, it is determined as the third incident, and the combination of the first incident and the second incident and / or the third incident.
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Abstract
Le problème décrit par la présente invention est de notifier à un administrateur des incidents en tenant compte de l'état physique d'un conducteur pendant la conduite. À cet effet, l'acquisition d'informations biologiques concerne le conducteur pendant la conduite (étape S1). Les informations biologiques sont analysées, une condition physique est détectée, un premier incident est évalué comme ayant eu lieu si la condition physique détectée satisfait des conditions prescrites, et des informations de fonctionnement concernant le conducteur sont acquises (étape S2). Les informations de fonctionnement sont analysées, une opération est détectée, un second incident est évalué comme ayant eu lieu si l'opération détectée satisfait des conditions prescrites, et des informations de comportement se rapportant à un véhicule sont acquises (étape S3). Les informations de comportement sont analysées, le comportement est détecté, le comportement détecté est collationné avec un système de reconnaissance des panneaux de signalisation, et un troisième incident est évalué comme ayant eu lieu si le comportement trouvé ne doit pas être en conformité légale. Si la combinaison de ces incidents satisfait des conditions prescrites, il est déterminé qu'un grave incident s'est produit, et l'administrateur est informé d'informations relatives à l'incident grave.
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PCT/JP2019/031527 WO2021024495A1 (fr) | 2019-08-08 | 2019-08-08 | Système, procédé et programme de notification des incidents pendant la conduite |
JP2021537552A JP7369775B2 (ja) | 2019-08-08 | 2019-08-08 | 運転中インシデント通知システム、方法及びプログラム |
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PCT/JP2019/031527 WO2021024495A1 (fr) | 2019-08-08 | 2019-08-08 | Système, procédé et programme de notification des incidents pendant la conduite |
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JP2004234260A (ja) * | 2003-01-29 | 2004-08-19 | Hitachi Ltd | 安全運転診断方法および省燃費運転診断方法、ならびに装置、安全運転診断プログラムおよび省燃費運転診断プログラム |
JP2008234414A (ja) * | 2007-03-22 | 2008-10-02 | Equos Research Co Ltd | データベース作成装置、及びデータベース作成プログラム |
JP2016126755A (ja) * | 2014-12-26 | 2016-07-11 | パナソニック インテレクチュアル プロパティ コーポレーション オブ アメリカPanasonic Intellectual Property Corporation of America | 危険情報処理方法およびサーバ装置 |
US20170061222A1 (en) * | 2015-08-31 | 2017-03-02 | Lytx, Inc. | Detecting risky driving with machine vision |
JP2017191368A (ja) * | 2016-04-11 | 2017-10-19 | 株式会社デンソー | 運転支援システム、運転支援装置及び運転支援プログラム |
WO2019146488A1 (fr) * | 2018-01-25 | 2019-08-01 | 日本電気株式会社 | Dispositif, procédé et système de surveillance d'état de conduite |
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JP7255490B2 (ja) | 2017-10-06 | 2023-04-11 | ソニーグループ株式会社 | 情報処理装置、および情報処理方法、並びにプログラム |
-
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- 2019-08-08 JP JP2021537552A patent/JP7369775B2/ja active Active
- 2019-08-08 WO PCT/JP2019/031527 patent/WO2021024495A1/fr active Application Filing
Patent Citations (6)
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JP2004234260A (ja) * | 2003-01-29 | 2004-08-19 | Hitachi Ltd | 安全運転診断方法および省燃費運転診断方法、ならびに装置、安全運転診断プログラムおよび省燃費運転診断プログラム |
JP2008234414A (ja) * | 2007-03-22 | 2008-10-02 | Equos Research Co Ltd | データベース作成装置、及びデータベース作成プログラム |
JP2016126755A (ja) * | 2014-12-26 | 2016-07-11 | パナソニック インテレクチュアル プロパティ コーポレーション オブ アメリカPanasonic Intellectual Property Corporation of America | 危険情報処理方法およびサーバ装置 |
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WO2019146488A1 (fr) * | 2018-01-25 | 2019-08-01 | 日本電気株式会社 | Dispositif, procédé et système de surveillance d'état de conduite |
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