JP2018092509A - Information processing device, information processing method, and information processing program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To derive a more accurate error rate by using biological information.SOLUTION: An information processing device comprises: a biological information acquisition part for acquiring biological information of a driver of a vehicle; a vehicle information acquisition part for acquiring vehicle information of the vehicle; a periphery image acquisition part for acquiring a periphery image of the vehicle including the vehicle from an imaging part attached to the vehicle; a timing estimation part for extracting a change in the biological information before the vehicle encounters an accident, and for estimating a timing at which the driver has sensed a danger of occurrence of the accident on the basis of the extracted change in the biological information; a driver analysis part for analyzing a driving operation of the driver and a behavior of the vehicle on the basis of the biological information, the vehicle information, and the periphery image; and an error rate correction part for correcting a basic error rate corresponding to an occurrence configuration of the accident of the driver on the basis of the timing, the driving operation and the behavior of the vehicle.SELECTED DRAWING: Figure 1

Description

  The present invention relates to an information processing apparatus, an information processing method, and an information processing program.

  In the above technical field, Patent Document 1 discloses a technique for acquiring and analyzing accident information by using a shock sensor, a speed gun, and a camera, and calculating the negligence rate based on the negligence rate calculation table using this information.

JP-A-2005-32027

  However, since the technique described in the above document does not use biological information, a more accurate error rate cannot be derived.

  The objective of this invention is providing the technique which solves the above-mentioned subject.

In order to achieve the above object, an information processing apparatus according to the present invention provides:
Biometric information acquisition means for acquiring biometric information of the driver of the vehicle;
Vehicle information acquisition means for acquiring vehicle information of the vehicle;
A surrounding image acquisition means for acquiring a surrounding image of the vehicle including the vehicle from an imaging means attached to the vehicle;
A timing estimation means for extracting a change in the biological information before encountering an accident, and estimating a timing at which the driver senses the risk of an accident based on the extracted change in the biological information;
Based on the biological information, the vehicle information, and the surrounding image, driver analysis means for analyzing the driving operation of the driver and the behavior of the vehicle;
Based on the timing, the driving operation, and the behavior of the vehicle, a negligence ratio correcting means for correcting a basic negligence ratio according to the accident occurrence mode of the driver;
Is provided.

In order to achieve the above object, an information processing method according to the present invention includes:
A biological information acquisition step for acquiring biological information of the driver of the vehicle;
Vehicle information acquisition step of acquiring vehicle information of the vehicle;
A surrounding image acquisition step of acquiring a surrounding image of the vehicle including the vehicle from an imaging means attached to the vehicle;
A timing estimation step of extracting a change in the biological information before encountering an accident, and estimating a timing at which the driver senses the risk of an accident based on the extracted change in the biological information;
A driver analysis step of analyzing the driving operation of the driver and the behavior of the vehicle based on the biological information, the vehicle information, and the surrounding image;
Based on the timing, the driving operation and the behavior of the vehicle, a negligence rate correction step of correcting a basic negligence rate according to the accident occurrence mode of the driver;
including.

In order to achieve the above object, an information processing program according to the present invention provides:
A biological information acquisition step for acquiring biological information of the driver of the vehicle;
Vehicle information acquisition step of acquiring vehicle information of the vehicle;
A surrounding image acquisition step of acquiring a surrounding image of the vehicle including the vehicle from an imaging means attached to the vehicle;
A timing estimation step of extracting a change in the biological information before encountering an accident, and estimating a timing at which the driver senses the risk of an accident based on the extracted change in the biological information;
A driver analysis step of analyzing the driving operation of the driver and the behavior of the vehicle based on the biological information, the vehicle information, and the surrounding image;
Based on the timing, the driving operation and the behavior of the vehicle, a negligence rate correction step of correcting a basic negligence rate according to the accident occurrence mode of the driver;
Is executed on the computer.

  According to the present invention, since biological information is used, a more accurate error rate can be derived.

It is a block diagram which shows the structure of the information processing apparatus which concerns on 1st Embodiment of this invention. It is a figure explaining the outline | summary of the process by the information processing apparatus which concerns on 2nd Embodiment of this invention. It is a block diagram which shows the structure of the information processing apparatus which concerns on 2nd Embodiment of this invention. It is a figure which shows an example of the correction negligence ratio table with which the information processing apparatus which concerns on 2nd Embodiment of this invention is provided. It is a block diagram which shows the hardware constitutions of the information processing apparatus which concerns on 2nd Embodiment of this invention. It is a flowchart explaining the process sequence of the information processing apparatus which concerns on 2nd Embodiment of this invention. It is a block diagram which shows the structure of the information processing apparatus which concerns on 3rd Embodiment of this invention. It is a figure which shows an example of the correction fault ratio table with which the information processing apparatus which concerns on 3rd Embodiment of this invention is provided. It is a block diagram which shows the hardware constitutions of the information processing apparatus which concerns on 3rd Embodiment of this invention. It is a flowchart explaining the process sequence of the information processing apparatus which concerns on 3rd Embodiment of this invention.

  DESCRIPTION OF EMBODIMENTS Hereinafter, embodiments for carrying out the present invention will be exemplarily described in detail with reference to the drawings. However, the configuration, numerical values, process flow, functional elements, and the like described in the following embodiments are merely examples, and modifications and changes are free, and the technical scope of the present invention is described in the following description. It is not intended to be limited.

[First Embodiment]
An information processing apparatus 100 as a first embodiment of the present invention will be described with reference to FIG. The information processing apparatus 100 is an apparatus that corrects a basic negligence rate according to an accident occurrence form using biological information.

  As shown in FIG. 1, the information processing apparatus 100 includes a biological information acquisition unit 101, a vehicle information acquisition unit 102, a surrounding image acquisition unit 103, a timing estimation unit 104, a driver analysis unit 105, and a negligence rate correction. Part 106.

  The biological information acquisition unit 101 acquires biological information of a vehicle driver. The vehicle information acquisition unit 102 acquires vehicle information of the vehicle. The surrounding image acquisition unit 103 acquires a surrounding image of the vehicle including the vehicle from an imaging unit attached to the vehicle. The timing estimation unit 104 extracts changes in biometric information before encountering an accident, and estimates the timing at which the driver senses the risk of an accident based on the extracted changes in biometric information. The driver analysis unit 105 analyzes the driving operation of the driver and the behavior of the vehicle based on the biological information, the vehicle information, and the surrounding image. The negligence ratio correcting unit 106 corrects the basic negligence ratio according to the occurrence of the driver's accident based on the timing, the driving operation, and the behavior of the vehicle.

  According to this embodiment, since biometric information is used, the basic negligence rate can be corrected, and a more accurate negligence rate can be derived.

[Second Embodiment]
Next, an information processing apparatus according to a second embodiment of the present invention will be described with reference to FIGS. FIG. 2 is a diagram for explaining an outline of the operation of the information processing apparatus 200 according to the present embodiment.

  As shown in FIG. 2, the information processing device 200 is a device that corrects the basic negligence rate when the vehicle 210 and the counterparty vehicle 220 cause an accident. The information processing apparatus 200 acquires vehicle information from the vehicle 210. In addition, the information processing apparatus 200 acquires the biological information of the driver 212 from the wearable terminal worn by the driver 212 of the vehicle 210. Furthermore, the information processing apparatus 200 acquires a surrounding image, a surrounding image, and the like of the vehicle 210 including the vehicle 210 captured by a camera of a mobile terminal such as a drive recorder 211 attached to the vehicle 210 or a smartphone owned by the driver 212. To do.

  The information processing apparatus 200 estimates the timing when the driver 212 senses the risk of occurrence of an accident from the change in biological information for an accident that requires a correction of the basic negligence ratio. The information processing apparatus 200 analyzes the driving operation of the driver 212 and the behavior of the vehicle 210 from the biological information, the vehicle information, and the surrounding image. Then, the information processing device 200 corrects the basic negligence ratio according to the accident occurrence mode of the driver 212 based on the estimated timing, the driving operation of the driver 212 and the behavior of the vehicle 210, for example, the driver The negligence ratio between 212 and the driver of the opponent vehicle 220 is derived.

  For example, if the driver 212 of the vehicle 210 performs the accident avoiding operation before the driver of the counterpart vehicle 220 performs the driving operation (accident avoiding operation) for avoiding the accident, the information processing apparatus 200 is performed. Estimates the driver 212's negligence ratio low. On the other hand, if the accident avoiding operation of the driver 212 is delayed from the accident avoiding operation of the driver of the counterpart vehicle 220, the information processing apparatus 200 estimates the driver's negligence ratio high. In this way, the information processing apparatus 200 corrects the basic negligence rate according to the accident occurrence mode of the driver 212 based on the video recorded by the drive recorder 211, the biological information of the driver 212, and the like. Automatically derives the negligence rate of. The basic negligence ratio is determined from the classification of the four-wheeled vehicle, single vehicle, bicycle, and pedestrian and the type of accident according to the certification / judgment criteria for the negligence offset rate in civil traffic lawsuits. In addition, the accident occurrence form is a combination including the road shape of the place where the accident occurred and the movement of each party. For example, an accident between a four-wheel left turn vehicle and a four-wheel straight vehicle at an intersection without a signal, a single vehicle This includes accidents in which straight roads and vehicles outside the four-wheel road enter the road.

  FIG. 3 is a block diagram illustrating a configuration of the information processing apparatus 200 according to the present embodiment. The information processing apparatus 200 includes a biological information acquisition unit 301, a vehicle information acquisition unit 302, a surrounding image acquisition unit 303, a timing estimation unit 304, a driver analysis unit 305, a counterparty analysis unit 306, and a negligence rate correction unit. 307.

  The biometric information acquisition unit 301 acquires biometric information of the driver 212 of the vehicle 210 from the wearable device. The biometric information to be acquired includes, for example, a pulse, a heart rate, a blood pressure, a sweat rate, a respiratory rate, an electroencephalogram, and a body temperature, but is not limited thereto.

  The vehicle information acquisition unit 302 acquires vehicle information of the vehicle 210 that the driver 212 drives. The vehicle information includes, but is not limited to, for example, position information, speed, acceleration, steering angle, remaining fuel, brake pedal force, accelerator release degree, engine speed, and the like of the vehicle 210. The position information of the vehicle 210 is acquired from, for example, a GPS (Global Positioning System) device attached to the vehicle 210, but the acquisition source of the position information is not limited to this. The speed, acceleration, steering angle, etc. of the vehicle 210 are acquired from, for example, OBD (On-board Diagnostics), CAN (Controller Area Network), etc., but are not limited thereto.

  The surrounding image acquisition unit 303 acquires an image (ambient image) around the vehicle 210 including the vehicle 210 (own vehicle) driven by the driver 212. That is, the surrounding image acquisition unit 303 acquires an image captured by a camera such as the drive recorder 211 attached to the vehicle 210. Moreover, the surrounding image acquisition part 303 may acquire the image imaged with cameras, such as portable terminals, such as a smart phone which the driver 212 of the vehicle 210 or the passenger owns, and a smart phone etc. use a predetermined | prescribed attachment. It is attached to the vehicle 210. The surrounding image acquisition unit 303 may acquire the surrounding image all the time, or may start acquiring when a predetermined trigger is detected. In addition, the surrounding images include videos and images of traffic accidents related to automobiles, bicycles, pedestrians, and the like.

  The timing estimation unit 304 extracts changes in biological information before encountering an accident, and estimates the timing at which the driver 212 has detected the risk of an accident based on the extracted changes in biological information. The timing estimation unit 304 estimates, for example, the timing at which the pulse, heart rate, blood pressure, respiration rate, and the like have risen as the timing when the driver 212 senses danger, but the timing estimation method is not limited to this. For example, when the driver 212 blinks at a constant rhythm, the timing estimation unit 304 may estimate the danger detection timing when the rhythm is lost. Further, for example, the timing estimation unit 304 may estimate the timing of danger detection from changes in brain waves, movements of the arm and leg muscles of the driver 212, and the like. Further, the timing estimation unit 304 may estimate a predetermined time before the timing of danger detection from the time when the change of the biological information occurs.

  The driver analysis unit 305 analyzes the driving operation of the driver 212 and the behavior of the vehicle 210 based on the biological information, the vehicle information, and the surrounding image. In other words, what kind of driving operation the driver 212 has performed and how the vehicle 210 behaves and an accident has occurred are analyzed.

  The counterparty analysis unit 306 analyzes the behavior of the counterparty vehicle 220 in the accident based on the acquired surrounding image. For example, the counterparty analysis unit 306 analyzes the traveling direction, acceleration, speed, and the like of the counterparty vehicle 220 from the acquired surrounding image.

  The negligence rate correction unit 307 corrects the basic negligence rate according to the accident occurrence mode of the driver 212 based on the estimated timing, the analyzed driving operation of the driver 212, the behavior of the vehicle 210, and the behavior of the counterpart vehicle 220. To do. Then, based on the corrected basic negligence ratio, the negligence ratio between the driver 212 of the vehicle 210 and the driver of the counterpart vehicle 220 that is the other party of the accident is calculated.

  FIG. 4 is a diagram illustrating an example of the corrected negligence ratio table 401 included in the information processing apparatus 200 according to the present embodiment. The corrected negligence ratio table 401 is associated with the classification 410 and the accident occurrence form 411, the basic negligence ratio 412, the vehicle information / ambient image 413, the biological information (timing) 414, the operation / behavior 415, the opponent vehicle behavior 416, and the corrected negligence ratio. 417 is stored. The classification 410 classifies the parties involved in the traffic accident according to the criteria such as a four-wheeled vehicle, a single vehicle, a bicycle, and a pedestrian. The accident occurrence form 411 is a combination including the road shape of the place where the accident occurred and the movement of each party. The basic negligence ratio 412 is the negligence ratio between the driver 212 and the driver of the counterpart vehicle 220 determined according to the accident occurrence mode 411. The vehicle information / ambient image 413 is the acquired vehicle information and ambient image of the vehicle 210. The biometric information (timing) 414 is a timing estimated by using the biometric information when the driver 212 detects the danger of an accident. The operation / behavior 415 is a driving operation of the driver 212, a behavior of the vehicle 210, a driving operation start time, and an operation amount of the driving operation. The opponent vehicle behavior 416 is the behavior of the opponent vehicle 220 in the accident. The corrected negligence rate 417 is a negligence rate obtained by correcting the basic negligence rate according to the mode of the traffic accident that has occurred. Then, the information processing apparatus 200 refers to the corrected negligence ratio table 401 and corrects the basic negligence ratio, for example.

  FIG. 5 is a block diagram illustrating a hardware configuration of the information processing apparatus 200 according to the present embodiment. A CPU (Central Processing Unit) 510 is a processor for arithmetic control, and realizes a functional component of the information processing apparatus 200 of FIG. 3 by executing a program. A ROM (Read Only Memory) 520 stores fixed data such as initial data and programs and other programs. The network interface 530 communicates with other devices via the network. Note that the number of CPUs 510 is not limited to one, and may be a plurality of CPUs or may include a graphics processing unit (GPU) for image processing. The network interface 530 preferably includes a CPU independent of the CPU 510 and writes or reads transmission / reception data in a RAM (Random Access Memory) 540 area. It is desirable to provide a DMAC (Direct Memory Access Controller) that transfers data between the RAM 540 and the storage 550 (not shown). Furthermore, the input / output interface 560 preferably has a CPU independent of the CPU 510 and writes or reads input / output data in the RAM 540 area. Therefore, the CPU 510 recognizes that the data has been received or transferred to the RAM 540 and processes the data. Further, the CPU 510 prepares the processing result in the RAM 540 and leaves the subsequent transmission or transfer to the network interface 530, the DMAC, or the input / output interface 560.

  The RAM 540 is a random access memory used by the CPU 510 as a work area for temporary storage. In the RAM 540, an area for storing data necessary for realizing the present embodiment is secured. The classification data / accident occurrence form data 541 is data relating to the form of occurrence of an accident. The basic negligence rate data 542 is data relating to the basic negligence rate according to the accident occurrence mode. The vehicle information / ambient image data 543 is data relating to vehicle information acquired from the vehicle 210 and an image captured by the drive recorder 211 or the like. The biometric information (timing) data 544 is data indicating the timing when the driver 212 senses danger, which is estimated from the biometric information of the driver 212. The operation / behavior data 545 is data indicating the driving operation of the driver 212 and the behavior of the vehicle 210. The opponent vehicle behavior data 546 is data indicating the behavior of the opponent vehicle 220. These data are, for example, data developed from the corrected negligence ratio table 401. Then, the information processing apparatus 200 corrects the basic negligence ratio based on these data.

  The input / output data 547 is data input / output via the input / output interface 560. The transmission / reception data 548 is data transmitted / received via the network interface 530. The RAM 540 has an application execution area 549 for executing various application modules.

  The storage 550 stores a database, various parameters, or the following data or programs necessary for realizing the present embodiment. The storage 550 stores a corrected negligence ratio table 401. The corrected negligence rate table 401 is a table for managing the relationship between the accident occurrence mode 411 and the basic negligence rate 412 shown in FIG. Further, the storage 550 may store a plurality of sets each associated with biometric information, vehicle information, and surrounding images.

  The storage 550 further stores a biological information acquisition module 551, a vehicle information acquisition module 552, a surrounding image acquisition module 553, and a timing estimation module 554. In addition, the storage 550 stores a driver analysis module 555, a counterparty analysis module 556, and a negligence rate correction module 557.

  The biometric information acquisition module 551 is a module that acquires biometric information of the vehicle driver 212. The vehicle information acquisition module 552 is a module that acquires vehicle information of the vehicle 210. The surrounding image acquisition module 553 is a module that acquires surrounding images of the vehicle 210 including the vehicle 210. The timing estimation module 554 extracts changes in biological information, and estimates the timing at which the driver 212 senses the risk of an accident based on the extracted biological information. The driver analysis module 555 is a module that analyzes the driving operation of the driver 212 and the behavior of the vehicle 210 based on biological information, vehicle information, and surrounding images. The counterparty analysis module 556 is a module that analyzes the behavior of the counterparty vehicle 220 in an accident based on the surrounding image. The negligence ratio correction module 557 is a module that corrects the basic negligence ratio according to the accident occurrence mode of the driver 212 based on the estimated timing, the driving operation, the behavior of the vehicle 210, the behavior of the counterpart vehicle 220, and the like. These modules 551 to 557 are read by the CPU 510 into the application execution area 549 of the RAM 540 and executed. The control program 558 is a program for controlling the entire information processing apparatus 200.

  The input / output interface 560 interfaces input / output data with input / output devices. A display unit 561 and an operation unit 562 are connected to the input / output interface 560. Further, a storage medium 564 may be further connected to the input / output interface 560. Furthermore, a speaker 563 that is an audio output unit, a microphone that is an audio input unit, or a GPS position determination unit may be connected. Note that the RAM 540 and the storage 550 shown in FIG. 5 do not show programs and data related to general-purpose functions and other realizable functions that the information processing apparatus 200 has.

  FIG. 6 is a flowchart for explaining the processing procedure of the information processing apparatus 200 according to this embodiment. This flowchart is executed by the CPU 510 using the RAM 540, and implements the functional components of the information processing apparatus 200 of FIG.

  In step S <b> 601, the information processing apparatus 200 acquires biological information of the driver 212 of the vehicle 210 from, for example, a wearable terminal worn by the driver 212. In step S <b> 603, the information processing apparatus 200 acquires vehicle information of the vehicle 210. In step S <b> 605, the information processing apparatus 200 acquires a surrounding image of the vehicle 210 including the vehicle 210. Note that the order of steps S601 to S605 is not limited to the order shown in FIG. 6, and the order may be changed as appropriate, or these steps may be executed simultaneously.

  In step S607, the information processing apparatus 200 extracts changes in biological information before encountering an accident, and estimates the timing when the driver 212 senses the risk of an accident based on the extracted changes in biological information.

  In step S609, the information processing apparatus 200 analyzes the driving operation of the driver 212 and the behavior of the vehicle 210 based on the biological information, the vehicle information, and the surrounding image. In step S611, the information processing apparatus 200 analyzes the behavior of the counterpart vehicle 220 based on the surrounding image. In step S <b> 613, the information processing apparatus 200 calculates the basic negligence rate according to the accident occurrence mode of the driver 212 based on the estimated timing, the driving operation of the driver 212, the behavior of the vehicle 210, and the behavior of the counterpart vehicle 220. Correct it.

  According to the present embodiment, since biometric information is used, the basic negligence rate can be corrected, and a more accurate negligence rate can be derived. In addition to the video at the time of the accident, the timing of danger detection is estimated using biological information, so that the driver can advantageously proceed with the negotiation in the negotiation after the accident.

[Third Embodiment]
Next, an information processing apparatus according to the third embodiment of the present invention will be described with reference to FIGS. FIG. 7 is a diagram for explaining the configuration of the information processing apparatus 700 according to the present embodiment. The information processing apparatus 700 according to the present embodiment is different from the second embodiment in that it includes a time operation amount analysis unit and an external information acquisition unit. Since other configurations and operations are the same as those of the second embodiment, the same configurations and operations are denoted by the same reference numerals, and detailed description thereof is omitted.

  The information processing apparatus 700 further includes a time operation amount analysis unit 701 and an external information acquisition unit 702. The time operation amount analysis unit 701 calculates the driving operation start time, which is the time from when the driver 212 senses the danger of an accident, until the start of the driving operation such as stepping on the brake for avoiding the danger. Analyzing based on vehicle information and surrounding images. Further, the time operation amount analysis unit 701 analyzes the operation amount of the driving operation for avoiding danger. The operation amount of the driving operation is, for example, an operation amount with respect to a brake depression force, an accelerator opening degree, a steering wheel steering angle, and the like.

  The time operation amount analysis unit 701 analyzes the driving operation start time from the timing of the danger perception estimated from the change of the biological information and the timing when the brake is started determined from the brake pedal force, for example. In addition, the time operation amount analysis unit 701 analyzes, for example, brake pedal force, accelerator opening, steering angle, etc. from vehicle information.

  The external information acquisition unit 702 acquires external information including weather information. Then, the driver analysis unit 305 and the counterparty analysis unit 306, for example, based on weather information as external information, biological information, vehicle information, and surrounding images, the driving operation of the driver 212 and the behavior of the vehicle 210, The behavior of the opponent vehicle 220 is analyzed. If, for example, information on rainy weather is acquired as weather information, the driver analysis unit 305 and the counterparty analysis unit 306 analyze the slip amount and braking distance of the vehicle 210 and the counterparty vehicle 220 in consideration of the weather such as rainy weather. .

  The external information is, for example, probe data such as traffic jam information, congestion prediction information, and faulty vehicle information, but is not limited thereto. The surrounding image acquisition unit 303 may also store the shooting date and time of the surrounding image, the shooting time zone (for example, morning, day and night), the region, the vehicle shape and the vehicle height of the host vehicle and the opponent vehicle.

  FIG. 8 is a diagram illustrating an example of the corrected negligence ratio table 801 included in the information processing apparatus 700 according to the present embodiment. The corrected negligence ratio table 801 further stores an operation / behavior (time / operation amount) 811 and external information 812 in association with the accident occurrence form 411. Then, the negligence rate correction unit 307 refers to the corrected negligence rate table 801, for example, and derives a corrected negligence rate obtained by correcting the basic negligence rate according to the accident occurrence mode of the driver 212. Then, the information processing apparatus 700 derives a negligence ratio between the driver 212 of the vehicle 210 and the driver of the counterpart vehicle 220.

  FIG. 9 is a block diagram illustrating a hardware configuration of the information processing apparatus 700 according to the present embodiment. The RAM 940 is a random access memory that the CPU 510 uses as a work area for temporary storage. In the RAM 940, an area for storing data necessary for realizing the present embodiment is secured. The time / operation amount data 941 is data of the time from when the driver 212 senses the risk of an accident to the start of the driving operation for avoiding the accident and the operation amount of the driving operation. The external information data 942 is data related to weather information and traffic jam information. These data are, for example, data developed from the corrected negligence ratio table 801.

  The storage 950 stores a database, various parameters, or the following data or programs necessary for realizing the present embodiment. The storage 950 stores a corrected negligence rate table 801. The corrected negligence ratio table 801 is a table for managing the relationship between the accident occurrence mode 411 and the operation / behavior (time / operation amount) 811 shown in FIG.

  The storage 950 further stores a time operation amount analysis module 951 and an external information acquisition module 952. The time operation amount analysis module 951 is a module that analyzes the time until the driver 212 starts the driving operation and the operation amount of the driving operation based on the biological information, the vehicle information, and the surrounding image. The external information acquisition module 952 is a module that acquires external information including weather information. These modules 951 to 952 are read by the CPU 510 into the application execution area 549 of the RAM 940 and executed.

  FIG. 10 is a flowchart for explaining the processing procedure of the information processing apparatus 700 according to this embodiment. This flowchart is executed by the CPU 510 using the RAM 940, and implements the functional components of the information processing apparatus 700 in FIG. In step S1001, the information processing apparatus 700 acquires external information including weather information and the like. For example, in step S607, the information processing apparatus 700 estimates the timing at which the driver 212 senses the risk of an accident based on the acquired biological information, vehicle information, surrounding images, and external information.

  In step S1003, the information processing apparatus 700 determines the time from when the driver 212 senses the risk of an accident to the start of a driving operation based on the acquired biological information, vehicle information, surrounding images, and external information and the time. Analyze the amount of operation. For example, in step S613, the information processing apparatus 700 corrects the basic negligence ratio in consideration of the driving operation start time and the driving operation amount.

  According to the present embodiment, since biometric information is used, the basic negligence rate can be corrected, and a more accurate negligence rate can be derived. In addition to the video at the time of the accident, the timing of danger detection is estimated using biological information, so that the driver can advantageously proceed with the negotiation in the negotiation after the accident. Furthermore, since the behavior of the opponent vehicle is also analyzed to correct the basic negligence rate, a more accurate negligence rate can be derived. In addition, since the basic fault ratio is corrected in consideration of the driving operation start time and the driving operation amount, a more accurate fault ratio can be derived.

[Other Embodiments]
While the present invention has been described with reference to the embodiments, the present invention is not limited to the above embodiments. Various changes that can be understood by those skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention. In addition, a system or an apparatus in which different features included in each embodiment are combined in any way is also included in the scope of the present invention.

  In addition, the present invention may be applied to a system composed of a plurality of devices, or may be applied to a single device. Furthermore, the present invention can also be applied to a case where an information processing program that implements the functions of the embodiments is supplied directly or remotely to a system or apparatus. Therefore, in order to realize the functions of the present invention on a computer, a program installed in the computer, a medium storing the program, and a WWW (World Wide Web) server that downloads the program are also included in the scope of the present invention. . In particular, at least a non-transitory computer readable medium storing a program for causing a computer to execute the processing steps included in the above-described embodiments is included in the scope of the present invention.

Claims (9)

Biometric information acquisition means for acquiring biometric information of the driver of the vehicle;
Vehicle information acquisition means for acquiring vehicle information of the vehicle;
A surrounding image acquisition means for acquiring a surrounding image of the vehicle including the vehicle from an imaging means attached to the vehicle;
A timing estimation means for extracting a change in the biological information before encountering an accident, and estimating a timing at which the driver senses the risk of an accident based on the extracted change in the biological information;
Based on the biological information, the vehicle information, and the surrounding image, driver analysis means for analyzing the driving operation of the driver and the behavior of the vehicle;
Based on the timing, the driving operation, and the behavior of the vehicle, a negligence ratio correcting means for correcting a basic negligence ratio according to the accident occurrence mode of the driver;
An information processing apparatus comprising: Based on the surrounding image, further comprising a partner analysis means for analyzing the behavior of the partner vehicle of the accident
The information processing apparatus according to claim 1, wherein the negligence ratio correcting unit further corrects the basic negligence ratio based on a behavior of the opponent vehicle. The driver analysis means further includes a driving operation start time from when the driver senses the risk of occurrence of an accident based on the biometric information, the vehicle information, and the surrounding image, until a driving operation is started. A time operation amount analysis means for analyzing the operation amount of the driving operation is provided.
The information processing apparatus according to claim 1, wherein the negligence rate correction unit further corrects the basic negligence rate based on the driving operation start time and the operation amount. An external information acquisition unit that acquires external information including weather information is further provided.
The driver analysis means analyzes the driving operation of the driver and the behavior of the vehicle based on the biological information, the vehicle information, the surrounding image, and the external information. The information processing apparatus described in 1.   5. The information processing apparatus according to claim 1, wherein the timing estimation unit estimates a predetermined time before the change of the biological information as the timing.   The information processing apparatus according to claim 1, wherein the biological information includes at least one of a pulse, a heart rate, a sweating amount, a body temperature, and a respiration rate.   The information according to any one of claims 1 to 6, wherein the vehicle information includes at least one of a speed of the vehicle, a steering angle, an accelerator opening degree, an engine speed, a brake pedal force, and an acceleration of the vehicle. Processing equipment. A biological information acquisition step for acquiring biological information of the driver of the vehicle;
Vehicle information acquisition step of acquiring vehicle information of the vehicle;
A surrounding image acquisition step of acquiring a surrounding image of the vehicle including the vehicle from an imaging means attached to the vehicle;
A timing estimation step of extracting a change in the biological information before encountering an accident, and estimating a timing at which the driver senses the risk of an accident based on the extracted change in the biological information;
A driver analysis step of analyzing the driving operation of the driver and the behavior of the vehicle based on the biological information, the vehicle information, and the surrounding image;
Based on the timing, the driving operation and the behavior of the vehicle, a negligence rate correction step of correcting a basic negligence rate according to the accident occurrence mode of the driver;
An information processing method including: A biological information acquisition step for acquiring biological information of the driver of the vehicle;
Vehicle information acquisition step of acquiring vehicle information of the vehicle;
A surrounding image acquisition step of acquiring a surrounding image of the vehicle including the vehicle from an imaging means attached to the vehicle;
A timing estimation step of extracting a change in the biological information before encountering an accident, and estimating a timing at which the driver senses the risk of an accident based on the extracted change in the biological information;
A driver analysis step of analyzing the driving operation of the driver and the behavior of the vehicle based on the biological information, the vehicle information, and the surrounding image;
Based on the timing, the driving operation and the behavior of the vehicle, a negligence rate correction step of correcting a basic negligence rate according to the accident occurrence mode of the driver;
An information processing program that causes a computer to execute.

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