KR20180087530A - A car accident handling system based on mobile devices - Google Patents

Abstract

The present invention relates to a mobile-based vehicle accident processing system, which is capable of automatically classifying an accident location and an accident type in a processing server and supporting writing of a traffic accident agreement when an accident site is photographed by a mobile device in a vehicle accident site and transmitted to the processing server. The mobile-based vehicle accident processing system comprises: a field data receiving unit which receives a photographed accident site image and a photographing position from a service app; a relationship information extracting unit which recognizes a vehicle number from the accident site image and extracts vehicle information and driver information of the corresponding vehicle number by searching for insurance information with the recognized vehicle number; a rough map extracting unit which extracts a rough map of an accident site from the photographing position and sets an accident point on the rough map; an accident type classifying unit which classifies an accident type form from the accident site image; and an agreement writing unit which writes a traffic accident rapid processing agreement. According to the system of the present invention, it is possible to automatically create a rapid processing agreement by receiving an image and a location of an accident site from a mobile device and extracting an accident location rough map and an accident type in which two vehicles have a collision.

Description

[0001] The present invention relates to a mobile-based vehicle accident handling system,

The present invention relates to a mobile-based vehicle accident handling system that supports the creation of a traffic accident agreement by automatically classifying an accident location and an accident type at a processing server when an accident site is photographed with a mobile device at a vehicle accident site and transmitted to a processing server .

In recent years, the rate of car accidents has increased remarkably as vehicle penetration rate has been rapidly increasing. In general, when a traffic accident occurs, the driver uses a spray to judge the responsibility The police are taking urgent measures such as leaving a mark on the scene of an accident or taking a picture of an accident scene or a car with a camera (Camara). In addition, . A processing procedure when a general vehicle accident has occurred is shown in Fig.

However, due to the lack of accurate data on the accident situation, sometimes it is difficult to determine whether there is an error between the aggrieved person and the victim, so that it is difficult to obtain a satisfactory consensus. As a result, The reason for this is the lack of accurate data to accurately assess and assess the accident situation. In addition, it can take a long time to report an accident and the insurance company's compensation staff to arrive at the accident site, which can cause rapid traffic congestion because it is impossible to arrange the accident quickly.

In order to solve such a problem, techniques for quickly processing a vehicle accident process using a portable terminal or the like are being proposed. As an example, a traffic accident application service is executed in a portable terminal, a traffic accident site drawing is created in a portable terminal, and related data such as a scene photograph is transmitted to a server to receive a traffic accident [Patent Document 1]. In addition, when an image of an accident scene or a state of an accident vehicle is transmitted to a server in a customer terminal, a technique is disclosed in which a call center or a compensation employee reports the insurance transaction or performs a compensation process [Patent Document 2]. In addition, there is also a technique of creating an agreement or the like through a web phone and submitting it through a communication network to receive an accident [Patent Document 3]. In addition, techniques for accepting a vehicle accident reception through a mobile communication terminal have been proposed (Patent Document 4).

Such prior art supports the accident parties to immediately receive an accident in the field. In particular, there is a problem that it is not easy to prepare such a consultation document because a contract for the prompt handling of a traffic accident must be prepared.

FIG. 1 shows an example of a standard agreement for expediting a commonly used traffic accident. As shown in FIG. 1, the traffic accident standard processing standard agreement includes accident person information, damage status information, and accident map. Each item of the agreement should be written to fit the accident site.

However, the data for securing the accident site information is very difficult, and it is very difficult for ordinary people, not experts, to write it. Therefore, the insurer's employees are dispatched directly to the site to prepare the above-mentioned agreements and carry out accident handling.

Korean Registered Patent No. 10-1418534 (Announcement No.13, 2014) Korean Patent Laid-Open No. 10-2006-0095000 (published on August 30, 2006) Korean Patent Laid-Open No. 10-2011-0132645 (Dec. 9, 2011) Korean Patent Laid-Open No. 10-2006-0035516 (published on 26.04.2006)

An object of the present invention is to solve the above-mentioned problems, and an object of the present invention is to solve the above-mentioned problems, A mobile-based vehicle accident handling system that automatically generates an agreement.

It is also an object of the present invention to divide the perimeter of a vehicle into sections based on the front and rear sides, sides, and corners, and to classify the type of accident into two sections, , And a mobile-based vehicle accident handling system.

In order to achieve the above object, the present invention provides a mobile-based vehicle accident processing system for performing data communication with a service app installed in a smart mobile terminal through a network, the mobile-based vehicle accident handling system comprising: A field data receiving unit for receiving; An interest information extracting unit for recognizing the vehicle number from the accident scene image, searching insurance information by the recognized vehicle number, and extracting vehicle information and driver information of the vehicle number; A map extracting unit for extracting a map of an accident site from the photographing position and setting an accident point on the map; An accident type classifying unit for classifying an accident type from the accident scene image; And a negotiating section for creating a traffic accident rapid processing agreement.

According to another aspect of the present invention, there is provided a mobile-based vehicle accident processing system, wherein the accident type classification unit recognizes the corners of each vehicle in the accident scene image, projects each recognized corner on a two- Searching for and selecting an accident type corresponding to the contact state of the two projected vehicle objects, replacing the projected vehicle object with the vehicle object of the selected accident type, and replacing the front and rear surfaces of the vehicle object .

Further, the present invention is characterized in that in the mobile-based vehicle accident processing system, the two-dimensional plane is used as the plane of the extracted map.

According to the present invention, in the mobile-based vehicle accident processing system, the accident type classification unit divides the perimeter of each vehicle object into sections and is divided into front and rear faces, side faces, and corners, And an accident type group is classified according to whether it is a front, a back, a side, and an edge.

Further, the present invention provides a mobile-based vehicle accident handling system, wherein the accident type classifier includes a plurality of accident types within the accident type group, wherein each accident type includes a section in which two vehicle objects are in contact with each other, Whether one vehicle object is classified by the inclination angle with the other vehicle object,

Further, the present invention provides a mobile-based vehicle accident handling system, wherein the accident type group includes an FF group in which two vehicle objects are in contact with each other on the front and rear sides (F), front and rear faces of a single vehicle object The FE group in which the front side F of the first vehicle object and the edge E of the second vehicle object are in contact with each other and the side S of the other vehicle object A group of SSs in which the side S of the first vehicle object and the side S of the second vehicle object contact, the side S of the first vehicle object and the edge E of the second vehicle object contact SE Group, and the EE group of the first and second vehicle objects are in contact with each other.

According to another aspect of the present invention, there is provided a mobile-based vehicle accident processing system, wherein the negotiating section creating section defines an incident related item of the agreement as the related information, determines a damaged part item of the agreement as an accident scene image, And a vehicle object of an accident type projected on the map.

Further, the present invention is characterized in that in the mobile-based vehicle accident handling system, the accident scene image is at least two images each taken at different angles.

According to the present invention, in the mobile-based vehicle accident processing system, the map extracting unit sets an average value or an intermediate point of each photographing position corresponding to a plurality of accident scene images as an accident point.

As described above, according to the mobile-based vehicle accident processing system of the present invention, by receiving the image and position of the accident scene from the mobile device, extracting the accident location map and the accident type in which the two vehicles are in contact, An effect that can be automatically generated is obtained.

Further, according to the mobile-based vehicle accident processing system according to the present invention, by classifying the contact state by dividing the periphery of the vehicle into rectangular basic sections, it is possible to more easily and accurately select the type of accident type The effect can be obtained.

1 is a block diagram of a configuration of an overall system for implementing the present invention;
Fig. 2 is an exemplary view showing a configuration of an evaluation item according to the present invention; Fig.
3 is a block diagram of a configuration of a mobile-based vehicle accident handling system according to an embodiment of the present invention;
FIG. 4 is an example of a question item of an evaluation item according to an embodiment of the present invention; FIG.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, the present invention will be described in detail with reference to the drawings.

In the description of the present invention, the same parts are denoted by the same reference numerals, and repetitive description thereof will be omitted.

First, an example of the overall system configuration for implementing the present invention will be described with reference to FIG. That is, the mobile-based vehicle accident processing system according to the present invention can be implemented as a server system on a network.

As shown in FIG. 2, the overall system for implementing the present invention includes a smart mobile terminal 10 owned by a user or a customer, a service application 30 installed in a smart mobile terminal 10, (40), and a processing server (50) for carrying out a traffic accident rapid processing reporting job. In addition, the processing server 50 may further include a database 60 for storing necessary data. The smart mobile terminal 10 or the employee terminal 40 performs data communication with the processing server 50 through the network 20 such as the communication network 21 and the Internet.

First, the smart mobile terminal 10 is a general mobile terminal such as a smart phone, a tablet, or a tablet PC used by a user or a customer. The smart mobile terminal 10 has a computing function and can install and operate a mobile application (or an app or an application) Lt; / RTI > In particular, the smart mobile terminal 10 is a terminal equipped with a position sensor such as a GPS (Global Positioning System), a direction sensor such as a gyroscope, a camera, and a mobile communication device.

Next, the service application 30 is a mobile application (or app, application) installed in the smart mobile terminal 10 and provides a service for reporting a traffic accident rapid process. In particular, the service app 30 performs a rapid processing reporting service in cooperation with the processing server 50. [

Specifically, the service application 30 transmits a traffic accident scene image photographed according to a command of the user or the customer to the processing server 50. At this time, the service application 30 obtains the position information and the photographing direction at the time of photographing through the position sensor or the direction sensor of the smart mobile terminal 10, and transmits it to the processing server 50 together. In addition, the service app 30 can receive the traffic accident rapid processing result from the processing server 50 and display the result.

Next, the contact person terminal 40 is a terminal used by an employee in charge of report processing of an insurance company, and is a terminal having ordinary computing functions such as a PC, a smart phone, a tablet PC, and a pavlete. The person in charge refers to the person or the person in charge of the insurance company who handles the request of the user or the customer for prompt handling of the traffic accident. The person in charge can finally confirm the prompt processing agreement prepared by the processing server 50 through the contact person terminal 40 or create a quick processing agreement by receiving it from the processing server 50. [ Hereinafter, the description of the work performed by the worker means that the job is performed through the worker terminal 40.

Next, the processing server 50 is connected to the network 20 as a normal server, and receives a traffic accident scene image (or a scene photograph) and its photographing position and direction. In addition, the processing server 50 creates a traffic accident rapid processing agreement form from the scene image and the shooting location, and calculates the fault ratio of the party (or customer) and the other party of the traffic accident.

Specifically, the processing server 50 extracts the vehicle number of each vehicle from the accident scene image, searches the vehicle insurance database by the extracted vehicle number, and obtains vehicle information, driver information, or insurance information of each vehicle. At this time, the processing server 50 can additionally receive the passenger information directly input by the user from the service app 30 (passenger except the driver). From this information, the incident information of the agreement is generated.

In addition, the processing server 50 regards the photographing position as a position of an accident scene, extracts a scene map for the position, and identifies an accident place where the two vehicles contacted. In addition, the processing server 50 determines a portion where the two vehicles contact each other from the accident scene image, and extracts an accident type (or a contact type) from the discriminated contact portion. Then, the processing server 50 arranges an image of an accident vehicle (or an accident vehicle object) on the scene map to generate an accident map of the agreement.

In addition, the processing server 50 uses the accident site image (or photograph) as a document of the damage state (or damage state) of the agreement. Therefore, the processing server 50 analyzes the photograph of the scene of the accident, and creates the incident information, the damage state, and the accident map of the meeting.

Next, the database 60 is a conventional storage medium for storing necessary data in the processing server 50, and stores personal information of each user or a customer, vehicle information, accident type, map, and the like.

Next, before describing the configuration of the present invention, an accident type (or a contact type) for distinguishing the contact state of the two vehicles used in the present invention will be described with reference to Figs. 3 to 10. Fig.

First, as shown in FIG. 3, the circumference of the vehicle is classified into three types according to sections such as front and rear (F, Front), side (S, Side), and corner (E, Edge). The previous three sections can be easily and accurately distinguished from the accident scene image. That is, since the vehicle has a rectangular shape as shown in FIG. 3, the front and rear surfaces F and S can be clearly distinguished by the long and short length. Since the edge E is a portion where two faces (or lines) meet, it is clearly distinguished from the front and rear face F or the side face S, respectively.

On the other hand, the front and rear of the front and rear faces F can be divided into a light or a headlight shape, the presence or absence of a muffler, and the like. However, there are cases where there is no muffler such as an electric car, and the light shape of the vehicle may be different for each type of vehicle. Therefore, the classification analysis before and after the front and rear faces (F) from the scene of the accident may be error-prone. Therefore, in the present invention, the front surface and the rear surface are classified into a single portion.

An accident type (contact type) in which two vehicles contact can be grouped as shown in FIG. The number of cases in which two vehicles are in contact with each other can be grouped into six groups.

For example, an FF group is a group of accident types that collide, collide, or collide with each other at the front or rear of both vehicles. Also, the FE group is a group of accident types in which the front or rear section of one vehicle collides or collides with another corner section of another vehicle. The EE group is also a group of accident types in which both vehicles are in contact with each other between corner sections.

On the other hand, each type of accident type is classified into a plurality of types of accidents depending on which section the detailed section of the corresponding section in contact with is in contact with.

First, FIG. 5 shows accident types of the FF group. FIG. 5 (a) is a view illustrating an accident site image of an FF accident type and an accident map indicating the same, and FIG. 5 (b) is a model showing FF accident types.

As shown in FIG. 5, there are three types of accident types (collision / collision) between the front and rear faces F of the vehicle. The first type of accident is a type in which the entirety of the front and rear surfaces F of the first vehicle (blue vehicle) and the entire front and rear surface F of the second vehicle (red vehicle) are in contact with each other. The second type of accident is a type in which the left side of the front and rear faces F of the first vehicle (blue vehicle) is in contact with the right side of the front and rear faces F of the second vehicle (red vehicle). The third type of accident is a type in which the right side of the front and rear faces F of the first vehicle (blue vehicle) is in contact with the left side of the front and rear faces F of the second vehicle (red vehicle).

Next, FIG. 6 shows the types of thinking of the FS group. FIG. 6 (a) is a view illustrating an accident scene image of the FS accident type and an accident map indicating the same, and FIG. 6 (b) is a model showing the FS accident types.

As shown in Fig. 6, there are five types of accident (collision / collision) between the front and rear surfaces F of the first vehicle and the side surfaces S of the second vehicle. The first type of accident is a type in which the entirety of the front and rear sides F of the first vehicle and the left side of the side surface S of the second vehicle are in contact with each other and the second type of accident is a type in which, S) is in contact with the right side instead of the left side. Also, the third type of accident is a type in which the entire side S of the second vehicle contacts in the first accident type. In addition, the fourth and fifth accident types are a type in which the left or right part of the front and rear faces F of the first vehicle come into contact with the right or left side of the side face S of the second vehicle.

Next, Fig. 7 shows the types of thinking of the FE group. Fig. 7 (a) is a view illustrating an accident site image of the FE accident type and an accident map showing the same, and Fig. 7 (b) is a diagram showing models of FE accident types.

As shown in Fig. 7, there are two types of accident (collision / collision) between the front and rear sides F of the first vehicle and the corners E of the second vehicle. The first accident type is of the type that comes into contact with the front and rear sides (F) of the first vehicle and the edge E of the second vehicle, the second vehicle is leaning to the left, the second accident type is the second vehicle It is tilted to the right.

Next, FIG. 8 shows the types of thinking of the SS group. FIG. 8 (a) is a view illustrating an accident site image of the SS accident type and an accident map indicating the same, and FIG. 8 (b) is a model showing SS accident types.

As shown in FIG. 8, the types of accidents that the side surfaces S of the vehicle contact with each other are classified into three types. The first type of accident is a type in which the whole of the side surface S of the first vehicle (blue vehicle) and the entire side surface S of the second vehicle (red vehicle) are in contact with each other. The second accident type and the third accident type are types in which the right side or left side of the side surface S of the first vehicle comes into contact with the left or right side of the side surface S of the second vehicle.

Next, FIG. 9 shows the accident types of the SE group. FIG. 9A is a view showing an accident scene image of an SE accident type and an accident map showing the same, and FIG. 9B is a diagram showing models of SE accident types.

As shown in Fig. 9, the accident type in which the side S of the first vehicle and the edge E of the second vehicle are in contact with each other is classified into two types. The first accident type is of the type that comes into contact with the side S of the first vehicle and the edge E of the second vehicle, the second vehicle is leaning to the left, As well.

Next, FIG. 10 shows the accident types of the EE group. 10 (a) is a view illustrating an accident site image of an EE accident type and an accident map indicating the same, and FIG. 10 (b) is a diagram showing models of EE accident types.

As shown in Fig. 10, there are nine types of accidental contact between the corner E of the first vehicle and the corner E of the second vehicle. The first, second and third accident types are of a type in which the right side of the edge E of the first vehicle and the left side of the edge E of the second vehicle are in contact with each other and the second vehicle is inclined. The third, fourth and sixth accident types are of the type in which the right side of the edge E of the first vehicle and the right side of the edge E of the second vehicle are in contact with each other and the second vehicle is inclined. Also, the 7th, 8th, 9th accident type is a type in which the left side of the edge E of the first vehicle and the left side of the edge E of the second vehicle are in contact with each other, .

Next, a configuration of a mobile-based vehicle accident processing system according to an embodiment of the present invention will be described with reference to FIG.

11, the mobile-based vehicle accident processing system 50 according to the present invention includes a field data receiving unit 51 for receiving an accident scene image or a photographing position photographed from the smart mobile terminal 10 or the service application 30 An interest information extracting unit 52 for recognizing the vehicle number from the accident scene image, a map extracting unit 53 for extracting the map of the accident site from the photographing location and setting the accident point on the map, An accident type classification unit 54 for sorting, and an agreement preparation unit 55 for creating a consultation document. In addition, it may further comprise an accident ratio calculation unit 56 for calculating an accident ratio or an editor unit 57 for editing an agreement or the like by a person in charge.

First, the field data receiving unit 51 receives an accident site image or a photographing position photographed from the smart mobile terminal 10 or the service application 30.

The accident site image is an image captured by a camera of the smart mobile terminal 10 in a state in which two vehicles are in contact with each other. Preferably, the accident scene image is photographed at at least two different angles, and a plurality of numbers are photographed.

When the camera is photographed, the service application 30 acquires the position and direction at the time of photographing through the position sensor or the direction sensor of the smart mobile terminal 10. Each accident site image has a photographing position and photographing direction information, respectively.

The field data receiving unit 51 receives the accident site image photographed from the service application 30 and the photographing position and direction of each image.

On the other hand, the field data receiving unit 51 can additionally receive real drivers, out-of-driver passengers, etc. from the service app 30. The service application 30 asks the user whether the actual driver is different from the vehicle owner or the insured person, and when the insured person is different or the same as the insured person, requests the actual driver information and receives the input. In addition, the service app 30 receives the passengers or personal information of the passengers outside the driver.

Next, the related-information extracting unit 52 recognizes the vehicle number from the accident scene image, and searches the insurance information by the recognized vehicle number to extract the driver information and the occupant information of the vehicle number.

The party information extracting unit 52 recognizes the license plate in the accident scene image and automatically recognizes the car number in the license plate. The license plate recognition and the car number recognition technology are well known in the art, so a detailed description thereof will be omitted.

The participant information extracting unit 52 searches the insurance information database 61 using the recognized car number, and extracts the driver information of the vehicle. The insurance information can be built in the database itself, and can be retrieved from the insurance company server in cooperation with an insurance company server (not shown).

In addition, the related information extracting unit 52 extracts the driver information using the received actual driver information when the actual driver and the vehicle owner (or the insurance contractor) are different, or when there are several persons to be covered.

The participant information extracting unit 52 extracts passenger information of the participant information by using the number of passengers or personal information of the received passenger.

Next, the map extracting unit 53 extracts the map of the accident scene from the photographing position and sets an accident point on the map.

The map extracting unit 53 retrieves map information corresponding to the received photographing position from the database, and extracts the map information as a map. Preferably, the map information is a map within a predetermined range at the photographing position.

Further, the map extracting unit 53 sets or displays the photographing position on the extracted map as an incident point. Preferably, since there are many accident scene images, and there are a plurality of photographing positions, an average value or an intermediate point of these photographing positions is set as an accident point.

Next, the accident type classification unit 54 classifies the accident type from the accident scene image. A concrete classification method of the accident type classification unit 54 is shown in Fig.

As shown in FIG. 12, first, the accident type classification unit 54 recognizes the corners of each vehicle in the accident scene image (S41). At this time, the edge recognition may be automatically recognized by the image analysis technique or may be recognized by the input of the person in charge.

Next, the accident type classification unit 54 projects each recognized corner on a two-dimensional plane to generate a vehicle object on the two-dimensional plane (S42). Preferably, the two-dimensional plane is the plane of the extracted map. The conversion matrix from the accident site image to the map is obtained by matching the feature points of the road, the sidewalk, and the building (or milestone) appearing in the accident scene image with the road, Then, using the corresponding matrix, each corner is projected onto a map, which is a two-dimensional plane. Then, the rectangle connecting each corner is set as a vehicle object.

Next, an accident type corresponding to the contact state of two vehicle objects is searched and selected, and replaced with a vehicle object of the selected accident type (S43). At this time, an accident type group is selected by selecting which of the front, rear, side, and edge sections the two vehicle objects contact with each other. For example, if it is recognized that the front and rear sides of the first vehicle object and the side of the second vehicle object are in contact, the accident type group is selected as the group FS.

And selects the most similar type of thinking against each type of thinking in the selected group. When judging whether or not the contact state of the vehicle object in the selected group is similar to each of the accident types, whether or not the similarity is determined using the left and right sides and the inclination angle of the vehicle object in a section in which the front, rear, side, .

Further, as another embodiment, the type of the accident can be finally selected by the person in charge. That is, the accident type classification unit 54 may present a plurality of similar accident types and finally select an accident type based on the input of the person in charge. Alternatively, the person in charge can select an accident type group from the beginning and finally select an accident type from among the accident types within the selected type of accident type group.

And replaces the projected vehicle object with the vehicle object of the selected accident type.

Next, the accident type classifying unit 54 distinguishes between the front surface and the rear surface of the vehicle of the replaced accident type (S44). By recognizing the front and rear sides of the vehicle in the accident scene image, the front and back sides can be distinguished. Alternatively, the front and back sides can be selected by the operator's input.

Next, the agreement writing section 55 prepares a traffic accident quick handling agreement. In particular, the consultation writing section 55 determines the related person information of the agreement as the previously determined person information, sets the damaged part item of the agreement as the accident scene image, and maps the accident map item to the previously obtained map and the accident type projected on the map Of the vehicle.

Finally, the accident rate calculation unit 56 calculates the accident rate.

The accident rate calculation unit 56 refers to the previously stored accident rate database and estimates the accident rate. At this time, the accident rate database is stored with the accident rate set according to each type of accident. The accident rate calculation unit 56 searches the accident rate corresponding to the accident type, and estimates the accident rate based on the retrieved value.

The invention made by the present inventors has been described concretely with reference to the embodiments. However, it is needless to say that the present invention is not limited to the embodiments, and that various changes can be made without departing from the gist of the present invention.

10: smart mobile terminal 20: network
30: service application 40: contact terminal
50: processing server 51: field data receiver
52: Relevant information extracting unit 53: Map extracting unit
54: Accident type classification section 55:
56: Accident Rate Estimation Government 60: Database

Claims (9)

A mobile-based vehicle accident processing system for performing data communication with a service app installed in a smart mobile terminal through a network,
A field data receiving unit for receiving an accident site image photographed from the service application and a photographing position;
An interest information extracting unit for recognizing the vehicle number from the accident scene image, searching insurance information by the recognized vehicle number, and extracting vehicle information and driver information of the vehicle number;
A map extracting unit for extracting a map of an accident site from the photographing position and setting an accident point on the map;
An accident type classifying unit for classifying an accident type from the accident scene image; And
And a negotiation section for creating a traffic accident quick handling agreement.
The method according to claim 1,
The accident type classification unit recognizes the corners of each vehicle in the accident scene image, and projects the recognized corners on a two-dimensional plane to generate a projected vehicle object. Searching for and selecting an accident type, replacing the projected vehicle object with a vehicle object of the selected accident type, and distinguishing between the front and back of the vehicle object of the replaced accident type.
3. The method of claim 2,
Wherein the two-dimensional plane is used as a plane of the extracted map.
3. The method of claim 2,
The accident type classifying unit classifies the perimeter of each vehicle object as a section and is divided into front and rear faces, side faces, and corners, and is classified according to whether the two vehicle objects are in contact with each other, Wherein the group of the accident type group is classified into the group of the accident type type.
5. The method of claim 4,
The accident type classifier includes a plurality of accident types in the accident type group, wherein each type of accident is classified into two types, that is, whether or not a section in which two vehicle objects touch is left or right on the front or rear surface or side, Wherein the mobile object is classified according to a tilt angle with respect to a vehicle object.
5. The method of claim 4,
The accident type group includes an FF group in which two vehicle objects are in contact with each other between front and rear faces F, a front and rear faces F of one vehicle object (hereinafter referred to as a first vehicle object) The FE group in which the front and rear sides F and F of the first vehicle object contact the edge S of the first vehicle object and the side group S of the second vehicle object, An SE group with which the side S of the vehicle object contacts, a side group S of the first vehicle object and an edge E of the second vehicle object contact, an edge E of the first and second vehicle objects, Wherein the EE group is divided into an EE group and an EE group.
The method according to claim 1,
The negotiating section creating section determines the incident related item of the agreement as the related person information, determines the damaged part item of the agreement as the accident scene image, maps the extracted accident map items of the agreement and the vehicle of the accident type projected on the map Wherein the object is determined as an object.
The method according to claim 1,
Wherein the accident scene image is at least two and each image is taken at a different angle.
The method according to claim 1,
Wherein the map extracting unit sets an average value or an intermediate point of each photographing position corresponding to a plurality of accident scene images as an accident point.

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