Accident analysis device, accident analysis method, and program

Abstract

An accident analysis device, an accident analysis method, and a program are provided that enable accident analysis taking into account the visibility conditions of a vehicle driver. [Solution] The accident analysis device 10 comprises a memory unit 100 that stores accident case data indicating accident cases, an acquisition unit 101 that acquires vehicle data measured by a sensor equipped in the accident vehicle and including position data indicating the location of the accident site for the accident vehicle, video data captured by a camera equipped in the accident vehicle, and three-dimensional map data at the position indicated by the position data, an analysis unit 102 that analyzes the circumstances of the accident caused by the accident vehicle based on the acquired vehicle data, video data, and three-dimensional map data, and a search unit 104 that searches for accident case data based on the circumstances of the accident analyzed by the analysis unit 102.

Description

Technical Field

[0001] The present invention relates to an accident analysis device, an accident analysis method, and a program.

Background Art

[0002] When a traffic accident occurs, an insurance company calculates a loss ratio according to the accident situation. As an accident analysis device for calculating such a loss ratio and analyzing an accident, for example, Patent Document 1 discloses an accident analysis device that quickly matches an accident situation with past accident cases.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] By the way, the loss ratio calculated by an insurance company may vary depending on the perspectives of the insurance policyholder and the other party. For example, when the other party jumps out from a position that is a blind spot for the insurance policyholder and an accident occurs, the loss ratio may be advantageous for the insurance policyholder.

[0005] The accident analysis device described in Patent Document 1 analyzes an image captured by a camera provided in the vehicle of the insurance policyholder to identify surrounding objects at the accident scene and generates an image reproducing the accident situation. Therefore, it is also conceivable to apply this video analysis to reproduce the perspectives of the insurance policyholder and the other party.

[0006] However, cameras installed in the insured's vehicle typically only capture the front view, or both the front and rear, and often do not capture the left or right view. Furthermore, while the images captured by the insured's vehicle camera can provide some information about the insured's field of vision, it is difficult to obtain information about the other party's field of vision from the same images.

[0007] Therefore, analyzing only the video footage captured by cameras installed in the insured's vehicle may not adequately consider the visibility of both the insured and the other party in an accident analysis, potentially leading to an inability to properly calculate the percentage of fault.

[0008] In view of the above circumstances, the object of the present invention is to provide an accident analysis device, an accident analysis method, and a program that enable accident analysis taking into account the visibility conditions of the vehicle driver. [Means for solving the problem]

[0009] To achieve the above objective, the accident analysis apparatus according to the first aspect of the present invention is: A storage means for storing accident case data that shows accident cases, Accident data acquisition means that acquires vehicle data measured by sensors installed in the accident vehicle, including location data indicating the location of the accident site for the accident vehicle, and video data captured by a camera installed in the accident vehicle. A map data acquisition means for acquiring three-dimensional map data at the location indicated by the aforementioned location data, An analysis means for analyzing the circumstances of the accident caused by the accident vehicle based on the acquired vehicle data, video data, and three-dimensional map data, A search means for searching accident case data based on the circumstances of the accident analyzed by the analysis means, It is equipped with.

[0010] The analysis means analyzes the position of the accident vehicle at the time of the accident based on the acquired vehicle data, and analyzes the driver's field of vision of the accident vehicle based on the analyzed position and the three-dimensional map data. You may do so.

[0011] The search means searches for the accident case data based on the visibility conditions analyzed by the analysis means. You may do so.

[0012] The aforementioned accident case data includes correction information that adjusts the percentage of fault according to visibility conditions. The search means searches for the correction information contained in the accident case data based on the visibility conditions analyzed by the analysis means. You may do so.

[0013] To achieve the above objective, the accident analysis method according to the second aspect of the present invention is: Accident data acquisition step: Acquires vehicle data measured by sensors installed in the accident vehicle, including location data indicating the location of the accident site for the accident vehicle, and video data captured by a camera installed in the accident vehicle. A map data acquisition step involves acquiring three-dimensional map data at the location indicated by the aforementioned location data, An analysis step to analyze the circumstances of the accident caused by the accident vehicle based on the acquired vehicle data, video data, and three-dimensional map data, A search step in which, based on the circumstances of the accident analyzed in the above analysis step, the accident case data showing accident cases stored in the storage means is searched, Includes.

[0014] To achieve the above objective, the program according to the third aspect of the present invention is: On the computer, Accident data acquisition step of acquiring vehicle data measured by sensors equipped in the accident vehicle, including position data indicating the position of the accident scene regarding the accident vehicle, and video data captured by a camera equipped in the accident vehicle, Map data acquisition step of acquiring three-dimensional map data at the position indicated by the position data, Analysis step of analyzing the situation of the accident that occurred to the accident vehicle based on the acquired vehicle data, video data, and three-dimensional map data, Search step of searching accident case data indicating accident cases stored in the storage means based on the situation of the accident analyzed in the analysis step, To execute.

Advantages of the Invention

[0015] According to the present invention, it is possible to provide an accident analysis apparatus, an accident analysis method, and a program that enable accident analysis considering the visual field situation of a vehicle driver.

Brief Description of the Drawings

[0016] [Figure 1] It is a diagram showing an example of an accident analysis system according to the present embodiment. [Figure 2] It is a schematic diagram showing a state facing forward from inside the vehicle in the present embodiment. [Figure 3] It is a functional block diagram of a drive recorder according to the present embodiment. [Figure 4] It is a diagram showing a processing flow according to the present embodiment. [Figure 5] It is a diagram showing an example of the hardware configuration of an accident analysis apparatus according to the present embodiment. [Figure 6] It is a functional block diagram of an accident analysis apparatus according to the present embodiment. [Figure 7] It is a flowchart showing an overview of a processing procedure when an accident analysis apparatus according to the present embodiment analyzes the situation of an accident and searches for accident cases.

Modes for Carrying Out the Invention

[0017] Embodiments of the present invention will be described below with reference to the drawings. In the drawings, the same or corresponding parts are denoted by the same reference numerals.

[0018] Figure 1 shows an example of an accident analysis system according to this embodiment. In the accident analysis system 1 according to this embodiment, a drive recorder 1100 (see Figure 2) is installed in the insurance policyholder's vehicle 1000, and the drive recorder 1100 connects to a cloud storage server (not shown) via wireless communication over a network (including a public network). In this embodiment, an example is shown in which the drive recorder 1100 connects to a cloud storage server (not shown) via wireless communication over a network (including a public network), but for example, a mirror-type dedicated terminal device with similar functionality may be prepared and installed instead of the mirror 1300.

[0019] A data storage area for this system is reserved on the cloud storage server. More specifically, a data storage area accessible by the accident analysis device 10 is reserved for each drive recorder 1100 installed in the vehicle 1000.

[0020] The accident analysis device 10 has the function of acquiring vehicle data measured by sensors installed in the accident vehicle 1000 (which may be referred to as "the vehicle" for convenience in the following description) and video data captured by the camera installed in the drive recorder 1100 of the vehicle 1000 from a cloud storage server via the network, and analyzing the circumstances of the accident caused by the vehicle 1000 based on the acquired vehicle data and video data. In addition, the accident analysis device 10 has the function of matching the circumstances of the accident caused by the vehicle 1000 with accident cases by comparing the circumstances of the accident obtained through the analysis with an accident case database that associates the circumstances of past accidents with information on past accident cases (hereinafter referred to as "accident cases").

[0021] In the following explanation, "sensors equipped in vehicle 1000" do not refer to sensors directly built into vehicle 1000, but rather to sensors equipped in the drive recorder 1100 mounted on vehicle 1000. As will be described later, the drive recorder 1100 is equipped with sensors such as a positioning sensor to acquire the absolute position of vehicle 1000 and an acceleration sensor to measure the acceleration of vehicle 1000. Since the drive recorder 1100 is mounted on vehicle 1000, the various sensors equipped in the drive recorder 1100 are also considered "sensors equipped in vehicle 1000."

[0022] Terminal 20 is a terminal operated by, for example, an insurance company operator, and displays the accident situation analyzed by the accident analysis device 10, accident examples corresponding to the accident situation, and images generated by the accident analysis device 10. Terminal 20 can be any information processing device equipped with a display, such as a PC, notebook PC, tablet terminal, or smartphone. Terminal 20 is connected to the accident analysis device via a network so as to be able to communicate. When an insurance company operator receives an accident report from, for example, an insurance policyholder driving vehicle 1000, they operate Terminal 20 to grasp the accident situation, accident examples, etc., and calculate the percentage of fault based on the results of matching the accident situation with the accident examples.

[0023] Figure 2 shows the view from inside the vehicle 1000, looking forward of the vehicle 1000. The drive recorder 1100 includes a camera and, as shown in the figure, is mounted on the front of the vehicle 1000 or on the windshield so as to be able to capture images of at least the direction in which the vehicle 1000 is traveling. The camera may also be capable of capturing images of the side and rear of the vehicle 1000. As shown in Figure 2, a well-known automatic diagnostic system 1400 (for example, OBD (On-Board Diagnostic system -II)) is installed inside the vehicle 1000, and this automatic diagnostic system 1400 is connected to the drive recorder 1100.

[0024] Figure 3 shows a functional block diagram of the drive recorder 1100 according to this embodiment. The drive recorder 1100 mounted on the vehicle 1000 includes a communication unit 1120, a positioning unit 1130, a recording unit 1140, an audio recording unit 1150, an acceleration measurement unit 1160, an automatic diagnostic data acquisition unit 1170, a control unit 1180, and a data storage unit 1200.

[0025] The control unit 1180 consists of processors such as a CPU (Central Processing Unit) and a GPU (Graphical Processing Unit), and causes each component to execute processing related to this customer service.

[0026] The communication unit 1120 has the function of transmitting data to a cloud storage server via packet communication using wireless communication, for example, a public telephone network.

[0027] When instructed by the control unit 1180, the positioning unit 1130 acquires the absolute position (e.g., latitude and longitude) of the vehicle 1000 using, for example, GPS (Global Positioning System), and stores it in the data storage unit 1200. When an accident occurs, the data storage unit 1200 stores position data indicating the location of the accident site.

[0028] The recording unit 1140 stores video data (image data) captured by a camera, for example, mounted on a drive recorder 1100, in the data storage unit 1200. The sound recording unit 1150 stores sound data input from a microphone in the data storage unit 1200. The sound recording unit 1150 may be integrated with the recording unit 1140. The recording unit 1140 will also continuously record and store the data in the data storage unit 1200 when instructed to operate by, for example, the control unit 1180. The control unit 1180 will be able to extract video data from a certain period before a specific time and video data from a certain period after that specific time. The same applies to the sound recording unit 1150. The recording unit 1140 is capable of capturing video images from outside the vehicle 1000 and video images from inside the vehicle 1000.

[0029] The acceleration measurement unit 1160 measures the value of acceleration, for example, using an acceleration sensor, and outputs it to the control unit 1180. The automatic diagnostic data acquisition unit 1170 acquires automatic diagnostic data from the automatic diagnostic system 1400 installed inside the vehicle 1000 when instructed by the control unit 1180.

[0030] The data storage unit 1200 consists of a memory, an HDD (Hard Disk Drive), and / or an SSD (Solid State Drive) or other storage device, and pre-stores device data such as company name, organization name, vehicle registration number, driver identifier (ID), and telephone number, and also stores data acquired by each component in response to instructions from the control unit 1180.

[0031] Next, using Figure 4, we will explain the processing steps in the accident analysis system shown in Figure 1, from the time an accident occurs until the accident-related data is sent to the cloud storage server.

[0032] The control unit 1180 of the drive recorder 1100 mounted on the vehicle 1000 continuously causes the acceleration measuring unit 1160 to measure acceleration and determines whether the measured acceleration is above a predetermined threshold. Here, the control unit 1180 assumes that an acceleration above the threshold has been detected (Figure 4: Step S100).

[0033] When acceleration exceeding a threshold is detected, the control unit 1180 reads equipment data from the data storage unit 1200 and extracts vehicle data including impact event data, video data, etc. (step S101). The impact event data includes the date and time obtained from the clock, position data obtained by the positioning unit 1130, the detected acceleration, and automatic diagnostic data obtained by the automatic diagnostic data acquisition unit 1170. The video data includes video data captured by the recording unit 1140 and sound data recorded by the sound recording unit 1150. As mentioned above, the video data, etc. includes video data, etc. for a certain period before the point in time when acceleration exceeding the threshold is detected, and video data, etc. for a certain period after that point. The automatic diagnostic data includes data indicating whether or not there is damage to the engine, battery, fuel system, etc. Note that equipment data and impact event data are collectively referred to as vehicle data. When an accident occurs, the position data obtained by the positioning unit 1130 becomes position data indicating the location of the accident site, so the vehicle data will include position data indicating the location of the accident site.

[0034] Then, the control unit 1180 sends the extracted data (vehicle data (equipment data, impact event data) and video data, etc.) to the cloud storage server to the communication unit 1120 (step S102). After that, the control unit 1180 terminates the subsequent processing (step S103).

[0035] When the cloud storage server receives extracted data from the drive recorder 1100, it stores it in a data storage area identified by, for example, the vehicle registration number or telephone number included in the device data (step S103).

[0036] Next, using Figures 5 to 7, we will explain the analysis of accident conditions by the accident analysis device 10 in the accident analysis system shown in Figure 1, and the matching of accident conditions with accident case examples.

[0037] As described above, the accident analysis device 10 acquires vehicle data and video data from a cloud storage server via the network, analyzes the circumstances of the accident caused by vehicle 1000 based on the acquired vehicle data and video data, and has the function of matching the circumstances of the accident caused by vehicle 1000 with accident examples. Furthermore, the accident analysis device 10 has the function of generating an image showing the circumstances of the accident caused by vehicle 1000 by mapping the positions of vehicle 1000 and other vehicles obtained by analyzing the circumstances of the accident onto map data. The image showing the circumstances of the accident caused by vehicle 1000 can be of any kind, for example, an overhead view or a video.

[0038] The accident analysis device 10 may consist of one or more physical information processing devices such as a mainframe, workstation, or personal computer (PC), or it may be configured using a virtual information processing device that operates on a hypervisor, or it may be configured using a cloud server.

[0039] Figure 5 shows an example of the hardware configuration of the accident analysis device 10. The accident analysis device 10 has a processor 11 such as a CPU (Central Processing Unit) and a GPU (Graphical Processing Unit), a storage device 12 such as memory, an HDD (Hard Disk Drive) and / or an SSD (Solid State Drive), a communication interface 13 for wired or wireless communication, an input device 14 for receiving input operations, and an output device 15 for outputting information. The input device 14 is, for example, a keyboard, a touch panel, a mouse and / or a microphone. The output device 15 is, for example, a display and / or a speaker.

[0040] Figure 6 is a functional block diagram of the accident analysis device 10 according to this embodiment. The accident analysis device 10 includes a storage unit 100, an acquisition unit 101, an analysis unit 102, a generation unit 103, a search unit 104, and an output unit 105. The storage unit 100 can be realized using a storage device 12 provided by the accident analysis device 10. The acquisition unit 101, the analysis unit 102, the generation unit 103, the search unit 104, and the output unit 105 can be realized by the processor 11 of the accident analysis device 10 executing a program stored in the storage device 12. The program can be stored in a storage medium. The storage medium storing the program may be a non-transitory computer-readable medium. The non-transitory storage medium is not particularly limited, but may be a storage medium such as a USB memory or CD-ROM.

[0041] The storage unit 100 stores an accident case database (DB) that associates accident circumstances with accident case examples, a map data database, and three-dimensional map data. The accident case database may include information indicating the percentage of fault. Accident case examples and percentages of fault corresponding to the circumstances of an accident may be searchable using the information indicating the circumstances of the accident as a key. The map data database includes various data such as road data, road width, direction of travel, road type, traffic signs (stop, no entry, etc.), speed limits, traffic light locations, and the number of intersecting roads at intersections. The three-dimensional map data includes data representing roads within a city, buildings, street trees, traffic lights, signs, railway crossings, bridges, etc., in three dimensions. The storage unit 100 may be implemented as an external server capable of communicating with the accident analysis device 10. The storage unit 100 corresponds to a storage means.

[0042] As three-dimensional map data, for example, data from 3D city models provided by Project PLATEAU, promoted by the Ministry of Land, Infrastructure, Transport and Tourism, can be used. Alternatively, data obtained from Street View services provided by map information websites can also be used as three-dimensional map data.

[0043] The acquisition unit 101 has the function of acquiring vehicle data and video data measured and photographed by the vehicle 1000 (accident vehicle) from a cloud storage server. The acquisition unit 101 also has the function of acquiring three-dimensional map data of the accident site location from the storage unit 100 based on the location data included in the vehicle data. The acquisition unit 101 corresponds to the accident data acquisition means and the map data acquisition means.

[0044] The analysis unit 102 has the function of analyzing the circumstances of an accident caused by vehicle 1000 based on the vehicle data and video data acquired by the acquisition unit 101. The analysis unit 102 corresponds to the analysis means. The circumstances of the accident analyzed by the analysis unit 102 may include at least the road conditions of the accident caused by vehicle 1000 (whether the road is a public road or an expressway, whether the road is a straight road or an intersection, etc.), the color of the traffic signals when vehicle 1000 passes through an intersection, the priority relationship when passing through the intersection, and whether or not the speed of vehicle 1000 exceeds the speed limit.

[0045] Furthermore, the vehicle data of vehicle 1000 includes information indicating the absolute position of vehicle 1000 measured by the GPS of the positioning unit 1130. The analysis unit 102 may estimate the absolute position of other vehicles based on the information indicating the absolute position of vehicle 1000 (position data acquired by the positioning unit 1130) and information indicating the relative positional relationship between vehicle 1000 and other vehicles, obtained by analyzing the images of other vehicles captured in the video data. The analysis unit 102 may also estimate the absolute positions of vehicle 1000 and other vehicles in a time series. In addition, the analysis unit 102 may more precisely estimate the absolute position of its own vehicle based on the information indicating the absolute position measured by GPS and the data of each frame of the video data using SfM (Structure from Motion) technology.

[0046] Furthermore, the analysis unit 102 may analyze the circumstances of the accident by comparing the image size of the portion of the video data in which other vehicles are visible with data showing the correspondence between image size and distance, and estimating the distance between vehicle 1000 and the other vehicle, which is one of the pieces of information showing the relative positional relationship between vehicle 1000 and the other vehicle.

[0047] Furthermore, the analysis unit 102 may analyze the accident situation by comparing the difference between the coordinates of the parts of the video data in which other vehicles are visible and the center coordinates of the video data with data showing the correspondence between coordinates and angles, and estimating the angle difference between the direction of travel of vehicle 1000 and the direction in which the other vehicles are located, which is one of the pieces of information showing the relative positional relationship between vehicle 1000 and other vehicles.

[0048] Furthermore, the analysis unit 102 refers to three-dimensional map data based on the absolute position of vehicle 1000 and the estimated absolute position of other vehicles to detect obstacles such as buildings, street trees, and walls present around the accident site. Based on the absolute position (latitude and longitude) and height of the detected obstacles, the absolute position of vehicle 1000, and the estimated absolute position of other vehicles, the analysis unit 102 analyzes the visibility conditions of the policyholder and the other party. Visibility conditions refer to situations such as, for example, to what extent the policyholder or the other party could see the other party's or the policyholder's vehicle, and to what extent the policyholder or the other party could see traffic lights around the accident site.

[0049] The generation unit 103 has the function of generating an image showing the circumstances of an accident caused by vehicle 1000 by mapping the absolute position of vehicle 1000 and the absolute positions of other vehicles onto map data. The image may include an overhead view or a video. For example, the generation unit 103 may generate a video in which images showing the circumstances of the accident are arranged in chronological order. The image may also include an image showing the visibility conditions of the insurance policyholder or the other party.

[0050] The search unit 104 has the function of searching for accident cases that correspond to the circumstances of an accident caused by vehicle 1000 by comparing the circumstances of an accident caused by vehicle 1000, as analyzed by the analysis unit 102, with an accident case database (accident case data) that associates the circumstances of an accident with past accident cases. In other words, it can match the circumstances of an accident with accident cases. As described above, the analysis unit 102 analyzes the visibility conditions, so the search unit 104 can search for accident cases that take the visibility conditions into account. In addition, the search unit 104 may also search for the percentage of fault of vehicle 1000 in an accident caused by vehicle 1000 as an accident case that corresponds to the circumstances of an accident caused by vehicle 1000. The search unit 104 corresponds to the search means.

[0051] Furthermore, accident case examples may include one or more adjustment ratios (adjustment information) that modify the percentage of fault. If the search unit 104 finds that among the one or more adjustment ratios there is one that corresponds to the circumstances of the accident caused by the accident vehicle, it may adjust the percentage of fault of the accident vehicle according to that adjustment ratio. For example, accident case examples may include adjustment information that corresponds to visibility conditions. This allows the analysis unit 102 to adjust the percentage of fault according to the visibility conditions analyzed based on the three-dimensional map data.

[0052] The output unit 105 has the function of outputting to the terminal 20 information showing the accident situation analyzed by the analysis unit 102, accident cases corresponding to the accident conditions searched by the search unit 104, and images showing the accident situation generated by the generation unit 103.

[0053] Furthermore, since the functions of the accident analysis device 10 may be realized in conjunction with the terminal 20, there may also be functions provided on the terminal 20 side. Alternatively, the accident analysis device 10 and the terminal 20 may be integrated into a single information processing device.

[0054] Next, the processing procedure for analyzing accident situations and searching for accident cases by the accident analysis device 10 will be explained with reference to Figure 7. Figure 7 is a flowchart outlining the processing procedure when the accident analysis device 10 analyzes accident situations and searches for accident cases. In the following explanation, it is assumed that vehicle data and video data each contain time information or synchronization information. That is, in this embodiment, when analyzing video data at a certain point in time, it is possible to perform the analysis using vehicle data corresponding to that point in time, and conversely, when analyzing vehicle data at a certain point in time, it is possible to perform the analysis using video data corresponding to that point in time.

[0055] First, the acquisition unit 101 of the accident analysis device 10 acquires vehicle data and video data of the vehicle 1000 involved in the accident (steps S10 and S11). Specifically, the accident analysis device 10 acquires the vehicle data and video data from a cloud storage server via a network. Alternatively, the data may be recorded on a non-temporary storage medium such as an SD card or USB memory, and the vehicle data and video data may be imported into the accident analysis device 10 by connecting the recording medium to the accident analysis device 10. The processing in steps S10 and S11 corresponds to the accident data acquisition step.

[0056] Next, the acquisition unit 101 acquires three-dimensional map data at the location of the accident site from the storage unit 100 based on the location data included in the vehicle data acquired in step S10 (step S12). The process in step S12 corresponds to the map data acquisition step.

[0057] Next, the analysis unit 102 of the accident analysis device 10 analyzes the circumstances of the accident caused by vehicle 1000 based on the vehicle data acquired in step S10, the video data acquired in S11, and the three-dimensional map data acquired in step S12 (step S13). The processing in step S13 corresponds to the analysis step.

[0058] Next, the search unit 104 of the accident analysis device 10 compares the accident situation analyzed in step S13 with each accident case in the accident case database stored in the storage unit 100 to search for an accident case that corresponds to the accident situation caused by the vehicle 1000 (step S14). The process in step S14 corresponds to the search step.

[0059] Next, the generation unit 103 of the accident analysis device 10 generates an image showing the accident situation based on the analysis results obtained in step S13 (step S15). Note that the process in step S15 may be performed between the processes in steps S13 and S14, or it may be performed in parallel with these processes.

[0060] Then, the output unit 107 of the accident analysis device 10 outputs information showing the analysis results (accident situation) obtained in step S13, information showing the search results obtained in step S14, and an image showing the accident situation generated in step S15 to the terminal 20 (step S16), and the accident analysis device 10 finishes the analysis and search process.

[0061] These processes may be performed in any order, as long as no inconsistencies arise in the process.

[0062] According to the embodiments described above, the accident analysis device 10 has an analysis unit 102 that analyzes visibility conditions based on three-dimensional map data of the area around the accident site, thus enabling accident analysis that takes into account the visibility conditions of the vehicle driver. Furthermore, the accident analysis device 10 has a search unit 104 that searches for accident cases based on the visibility conditions analyzed by the analysis unit 102, so it is possible to search for accident cases that reflect the visibility conditions. For example, the accident analysis device 10 can search for fault ratios that have been modified to reflect the visibility conditions.

[0063] (modified version) Furthermore, this invention is not limited to the above embodiments, and various modifications and applications are possible. For example, the vehicle 1000, drive recorder 1100, cloud storage server, accident analysis device 10, and terminal 20 do not have to have all the technical features shown in the above embodiments, and may have some of the configurations described in the above embodiments so as to solve at least one problem in the prior art. In addition, at least some of each of the following modifications may be combined.

[0064] In the above embodiment, an example was shown in which the drive recorder 1100 is installed in the insurance policyholder's vehicle 1000, but this is just one example. Instead of the drive recorder 1100, the driver's smartphone could be used. External and internal video data could be captured using cameras mounted on the back and front of the smartphone.

[0065] In the above embodiment, the drive recorder 1100 is equipped with various sensors, but the vehicle 1000 may have the various sensors built in instead of the drive recorder 1100. In this case, the vehicle 1000 will have the same configuration as the communication unit 1120, positioning unit 1130, automatic diagnostic data acquisition unit 1170, control unit 1180, acceleration measurement unit 1160, and data storage unit 1200 in the above embodiment. The accident analysis device 10 will then acquire video data from the drive recorder 1100 and vehicle data from the vehicle 1000.

[0066] The accident analysis system 1 can be implemented using a regular computer without requiring specialized equipment. For example, the accident analysis system 1 that performs the above-mentioned processes may be configured by installing a program for executing one of the above-mentioned tasks from a recording medium into the computer. Alternatively, multiple computers may work together to form a single accident analysis system 1.

[0067] Furthermore, the method for supplying programs to computers is arbitrary. For example, they may be supplied via communication lines, communication networks, communication systems, etc.

[0068] Furthermore, if the OS (Operating System) provides some of the above-mentioned functions, then the parts not provided by the OS should be provided by the program.

[0069] The embodiments described above are provided to facilitate understanding of the present invention and are not intended to limit its interpretation. The flowcharts, sequences, elements, and their arrangement, materials, conditions, shapes, and sizes described in the embodiments are not limited to those exemplified and can be modified as appropriate. Furthermore, configurations shown in different embodiments can be partially substituted or combined. [Explanation of Symbols]

[0070] 1... Accident analysis system, 10... Accident analysis device, 11... Processor, 12... Memory device, 13... Communication interface, 14... Input device, 15... Output device, 20... Terminal, 100... Storage unit, 101... Acquisition unit, 102... Analysis unit, 103, 1200... Generation unit, 104... Search unit, 105... Output unit, 1000... Vehicle, 1100... Drive recorder, 1120... Communication unit, 1130... Positioning unit, 1140... Recording unit, 1150... Audio recording unit, 1160... Acceleration measurement unit, 1170... Automatic diagnostic data acquisition unit, 1180... Control unit, 1200... Data storage unit, 1300... Mirror, 1400... Automatic diagnostic system.

Claims

1. Accident data acquisition means that acquires vehicle data measured by sensors installed in the accident vehicle, including location data indicating the location of the accident site for the accident vehicle, and video data captured by a camera installed in the accident vehicle. A map data acquisition means for acquiring three-dimensional map data at the location indicated by the aforementioned location data, An analysis means for analyzing the circumstances of the accident caused by the accident vehicle based on the acquired vehicle data, video data, and three-dimensional map data, Equipped with, The aforementioned three-dimensional map data is three-dimensional map data that was created in advance outside the accident vehicle. The analysis means analyzes the position of the accident vehicle at the time of the accident based on the acquired vehicle data, and analyzes the driver's field of vision of the accident vehicle and the other party's field of vision in the accident based on the analyzed position and the three-dimensional map data. Accident analysis device.

2. A computer-based accident analysis method, Accident data acquisition step: Acquires vehicle data measured by sensors installed in the accident vehicle, including location data indicating the location of the accident site for the accident vehicle, and video data captured by a camera installed in the accident vehicle. A map data acquisition step involves acquiring three-dimensional map data at the location indicated by the aforementioned location data, An analysis step to analyze the circumstances of the accident caused by the accident vehicle based on the acquired vehicle data, video data, and three-dimensional map data, Includes, The aforementioned three-dimensional map data is three-dimensional map data that was created in advance outside the accident vehicle. In the analysis step, the location of the accident vehicle at the time of the accident is analyzed based on the acquired vehicle data, and the driver's field of vision of the accident vehicle and the other party's field of vision in the accident are analyzed based on the analyzed location and the three-dimensional map data. Accident analysis method.

3. On the computer, Accident data acquisition step: Acquires vehicle data measured by sensors installed in the accident vehicle, including location data indicating the location of the accident site for the accident vehicle, and video data captured by a camera installed in the accident vehicle. A map data acquisition step involves acquiring three-dimensional map data at the location indicated by the aforementioned location data, An analysis step to analyze the circumstances of the accident caused by the accident vehicle based on the acquired vehicle data, video data, and three-dimensional map data, Make it run, The aforementioned three-dimensional map data is three-dimensional map data that was created in advance outside the accident vehicle. In the analysis step, the location of the accident vehicle at the time of the accident is analyzed based on the acquired vehicle data, and the driver's field of vision of the accident vehicle and the other party's field of vision in the accident are analyzed based on the analyzed location and the three-dimensional map data. program.

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