Accident handling method, device and equipment and storage medium

Abstract

The invention relates to an accident processing method and device, equipment and a storage medium, and relates to the technical field of communication. The method comprises the following steps: acquiring vehicle data of an accident vehicle through V2X under the condition that a traffic accident occurs; according to the vehicle data, a simulation track video is generated, and the simulation track video is used for restoring the motion track of the accident vehicle on the accident road section; and sending the simulation track video to a responsibility determination platform, so that the responsibility determination platform performs responsibility determination on the accident vehicle based on the simulation track video. Therefore, the traffic accident handling efficiency can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of communication, in particular to the technical field of intelligent transportation, and specifically relates to an accident processing method and device, equipment and a storage medium. BACKGROUND

[0002] In the development process of intelligent transportation systems, traffic fast processing and fast compensation systems, as a mature technology that has been applied, aim to handle minor traffic accidents online quickly, reduce traffic congestion and improve road traffic efficiency. However, although these technologies have improved the efficiency of traffic accident handling to some extent, there are still some problems in actual application.

[0003] The main challenges faced by traffic fast processing and fast compensation systems in actual application include the limitations of evidence collection, the difficulty of reaching an agreement between the two parties, and the frequent occurrence of wrong judgments. These problems not only affect the efficiency and fairness of traffic accident handling, but also limit the application of the system in a wider range. SUMMARY

[0004] The present application provides an accident processing method, device, equipment and storage medium to at least solve the technical problem of low efficiency of accident handling in related technologies. The technical solution of the present application is as follows:

[0005] According to a first aspect of the present application, an accident processing method is provided, applied to a cloud server, the method comprising: in the case of a traffic accident, obtaining vehicle data of an accident vehicle through vehicle to everything (V2X) information exchange with the outside world; generating a simulation trajectory video according to the vehicle data, the simulation trajectory video being used to restore the motion trajectory of the accident vehicle on the accident road section; sending the simulation trajectory video to a responsibility determination platform, so that the responsibility determination platform determines the responsibility of the accident vehicle based on the simulation trajectory video.

[0006] According to the technical means, in the case of a traffic accident, the cloud server obtains vehicle data of the accident vehicle through V2X, wherein the vehicle data obtained through V2X directly comes from sensors and control systems of the vehicle, and does not depend on reports of third parties or descriptions of witnesses. Through the V2X technology, the position, speed, acceleration, direction and other key information of the vehicle can be collected and transmitted in real time, and comprehensive and accurate data support is provided. Further, according to the vehicle data, the cloud server generates a simulated trajectory video, and the generation of the simulated trajectory video is based on objective data, which can reduce the influence of human factors and improve the fairness and accuracy of accident responsibility determination. Finally, the cloud server sends the simulated trajectory video to the responsibility determination platform, so that the responsibility determination platform determines the responsibility of the accident vehicle based on the simulated trajectory video. Through the simulated trajectory video, the motion trajectory of the accident vehicle on the accident section can be restored, and intuitive evidence for accident analysis is provided. Further, the responsibility determination platform can quickly complete the responsibility determination, and the efficiency of accident handling is improved.

[0007] In a possible implementation, the accident vehicle includes a first vehicle and a second vehicle. In the case that both the first vehicle and the second vehicle are equipped with the V2X on-board device, the vehicle data of the accident vehicle includes the self-vehicle data of the first vehicle and the self-vehicle data of the second vehicle. In the case that the first vehicle is equipped with the V2X on-board device and the perception device, the vehicle data of the accident vehicle includes the self-vehicle data of the first vehicle and the perception data of the first vehicle perceived through the perception device. In the case that the second vehicle is equipped with the V2X on-board device and the perception device, the vehicle data of the accident vehicle includes the self-vehicle data of the second vehicle and the perception data of the second vehicle perceived through the perception device.

[0008] According to the technical means, when the accident vehicle is equipped with the V2X on-board device, the self-vehicle data of the accident vehicle can be directly obtained. When the first vehicle is equipped with the V2X on-board device and the perception device, the self-vehicle data and the perception data of the first vehicle can be obtained, and the perception data can be used as the vehicle data of the second vehicle. The same is true when the second vehicle is equipped with the V2X on-board device and the perception device. By considering the case of different vehicles equipped with devices, comprehensive collection of the vehicle data of the accident vehicle is achieved.

[0009] In a possible implementation, the self-vehicle data includes at least one of the following: vehicle identification, heading, speed, latitude and longitude, gear position, brake state, four-way acceleration, historical trajectory, vehicle length and width, vehicle light state, and vehicle accident event.

[0010] According to the technical means, by comprehensively collecting the self-vehicle data of the accident vehicle, rich basic information can be provided for accident restoration, which helps to deeply analyze the cause of the accident and improves the accuracy and efficiency of the accident analysis.

[0011] In a possible implementation, according to the vehicle data, a historical motion trajectory of the accident vehicle is determined; and the historical motion trajectory is dynamically mapped onto a lane of the accident road section according to time to obtain a simulation trajectory video.

[0012] According to the technical means described above, the simulation trajectory video can be generated by dynamically mapping the historical motion trajectory of the accident vehicle onto the lane of the accident road section. This visual method can help users more intuitively understand the process and cause of the accident, and also make the accident analysis more intuitive and easy to understand.

[0013] In a possible implementation, the lane of the accident road section is determined based on the following methods, including:

[0014] The lane of the accident road section is determined based on map data of the accident road section; or

[0015] In a case where the vehicle data includes perception data, the surrounding vehicles of the accident vehicle are determined based on the perception data, and the lane of the accident road section is determined based on the surrounding vehicles of the accident vehicle.

[0016] According to the technical means described above, the lane determination method of the accident road section considers both the map data and the perception data. In a case where the accident road section has map data, the lane information provided by the map data is directly used. In a case where the accident road section does not have map data, the lane can be determined based on the perception results of the surrounding vehicles, which improves the accuracy and reliability of the simulation trajectory video.

[0017] In a possible implementation, the identity identifier of the accident vehicle is sent to a V2X authentication platform, so that the V2X authentication platform confirms the identity of the accident vehicle based on the identity identifier of the accident vehicle; wherein the identity identifier of the accident vehicle includes at least one of the following: a pseudonym certificate signature of the accident vehicle, and license plate information of the accident vehicle.

[0018] According to the technical means described above, the identity of the accident vehicle can be confirmed by sending the identity identifier of the accident vehicle to the V2X authentication platform, which helps to ensure the authenticity and reliability of the accident vehicle data and prevent identity fraud and fraudulent behavior. At the same time, this identity confirmation mechanism can also provide a basis for subsequent accident liability determination and insurance claims.

[0019] According to a second aspect provided in the present application, an accident handling device is provided, applied to a cloud server, comprising an acquisition module, a generation module and a sending module. The acquisition module is configured to acquire vehicle data of an accident vehicle through V2X in the case of a traffic accident; the generation module is configured to generate a simulation trajectory video according to the vehicle data, the simulation trajectory video being used to restore the motion trajectory of the accident vehicle on an accident road section; and the sending module is configured to send the simulation trajectory video to a responsibility determination platform, so that the responsibility determination platform determines the responsibility of the accident vehicle based on the simulation trajectory video.

[0020] In a possible implementation, the accident vehicle comprises a first vehicle and a second vehicle; in the case that both the first vehicle and the second vehicle are equipped with a V2X on-board device, the vehicle data of the accident vehicle comprises self-vehicle data of the first vehicle and self-vehicle data of the second vehicle; in the case that the first vehicle is equipped with a V2X on-board device and a perception device, the vehicle data of the accident vehicle comprises self-vehicle data of the first vehicle and perception data perceived by the first vehicle through the perception device; and in the case that the second vehicle is equipped with a V2X on-board device and a perception device, the vehicle data of the accident vehicle comprises self-vehicle data of the second vehicle and perception data perceived by the second vehicle through the perception device.

[0021] In a possible implementation, the self-vehicle data comprises at least one of the following: vehicle identification, heading, speed, latitude and longitude, gear position, brake state, four-way acceleration, historical trajectory, vehicle length and width, vehicle light state, and vehicle accident event.

[0022] In a possible implementation, the generation module is specifically configured to determine a historical motion trajectory of the accident vehicle according to the vehicle data, and dynamically map the historical motion trajectory onto a lane of the accident road section according to time to obtain the simulation trajectory video.

[0023] In a possible implementation, the lane of the accident road section is determined based on the following methods, comprising:

[0024] determining the lane of the accident road section based on map data of the accident road section; or

[0025] in the case that the vehicle data comprises perception data, determining surrounding vehicles of the accident vehicle based on the perception data, and determining the lane of the accident road section based on the surrounding vehicles of the accident vehicle.

[0026] In a possible implementation, the sending module is further configured to send an identity identifier of the accident vehicle to a V2X authentication platform, so that the V2X authentication platform confirms the identity of the accident vehicle based on the identity identifier of the accident vehicle; wherein the identity identifier of the accident vehicle comprises at least one of the following: a pseudonym certificate signature of the accident vehicle and license plate information of the accident vehicle.

[0027] According to a third aspect of the present application, an electronic device is provided, comprising: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to execute the instructions to implement the method of the first aspect and any possible implementation thereof.

[0028] According to a fourth aspect of the present application, a computer-readable storage medium is provided, when the instructions in the computer-readable storage medium are executed by the processor of an electronic device, the electronic device can execute the method of the first aspect and any possible implementation thereof.

[0029] According to a fifth aspect of the present application, a computer program product is provided, the computer program product comprising computer instructions, when the computer instructions are executed on an electronic device, the electronic device executes the method of the first aspect and any possible implementation thereof.

[0030] Therefore, the above technical features of the present application have the following beneficial effects:

[0031] (1) In the case of a traffic accident, the cloud server obtains vehicle data of the accident vehicle through V2X, wherein the vehicle data obtained by V2X directly comes from the sensors and control systems of the vehicle, and does not depend on the reports of third parties or the descriptions of witnesses. Through V2X technology, the position, speed, acceleration, direction and other key information of the vehicle can be collected and transmitted in real time, providing comprehensive and accurate data support. Further, according to the vehicle data, the cloud server generates a simulated trajectory video, and the generation of the simulated trajectory video is based on objective data, which can reduce the influence of human factors and improve the fairness and accuracy of accident responsibility determination. Finally, the cloud server sends the simulated trajectory video to the responsibility determination platform, so that the responsibility determination platform determines the responsibility of the accident vehicle based on the simulated trajectory video. Through the simulated trajectory video, the motion trajectory of the accident vehicle on the accident section can be restored, providing intuitive evidence for accident analysis. Further, the responsibility determination platform can quickly complete the responsibility determination, improving the efficiency of accident handling.

[0032] (2) When the accident vehicles are all equipped with V2X on-board devices, the vehicle data of the accident vehicles can be directly obtained. When the first vehicle is equipped with a V2X on-board device and a perception device, the vehicle data and perception data of the first vehicle can be obtained, and the perception data can be used as the vehicle data of the second vehicle. The same applies when the second vehicle is equipped with a V2X on-board device and a perception device. By considering the case of different vehicles equipped with equipment, comprehensive collection of accident vehicle data is achieved.

[0033] (3) By comprehensively collecting the vehicle data of the accident vehicles, rich basic information can be provided for accident restoration, which helps to deeply analyze the causes of the accident and improves the accuracy and efficiency of the accident analysis.

[0034] (4) By dynamically mapping the historical motion trajectory of the accident vehicle onto the lanes of the accident road section, a simulation trajectory video can be generated. This visualization method can help users more intuitively understand the process and cause of the accident, and also make the accident analysis more intuitive and easy to understand.

[0035] (5) The lane determination method for the accident road section takes into account both map data and perception data. In the case where map data exists for the accident road section, the lane information provided by the map data is directly utilized. In the case where map data does not exist for the accident road section, the perception results of surrounding vehicles based on perception data can be used to determine the lane, thereby improving the accuracy and reliability of the simulation trajectory video.

[0036] (6) By sending the identity of the accident vehicle to the V2X authentication platform, the identity of the accident vehicle can be confirmed, which helps to ensure the authenticity and reliability of the accident vehicle data and prevent identity fraud and fraudulent behavior. At the same time, this identity confirmation mechanism can also provide a basis for subsequent accident liability determination and insurance claims.

[0037] It should be noted that the technical effects brought about by any one of the implementation manners of the second aspect to the fifth aspect can be referred to the technical effects brought about by the corresponding implementation manners in the first aspect, which will not be repeated here.

[0038] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present application. BRIEF DESCRIPTION OF DRAWINGS

[0039] The accompanying drawings, which are incorporated into and form part of the specification, illustrate embodiments consistent with the present application and, together with the specification, serve to explain the principles of the present application, and do not constitute an improper limitation on the present application.

[0040] Figure 1 is a structural schematic diagram of an accident handling system according to an exemplary embodiment;

[0041] Figure 2 is a flowchart of an accident handling method according to an exemplary embodiment;

[0042] Figure 3 is a flowchart of another accident handling method according to an exemplary embodiment;

[0043] Figure 4 is a flowchart of another accident handling method according to an exemplary embodiment;

[0044] Figure 5 is a flowchart of another accident handling method according to an exemplary embodiment;

[0045] Figure 6 is a block diagram of an accident handling device according to an exemplary embodiment;

[0046] Figure 7 is a block diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0047] In order for those skilled in the art to better understand the technical solutions of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings.

[0048] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0049] As described in the background, the challenges faced by the traffic fast compensation system in practical application include: first, there are limitations in evidence collection. At present, field photos and car recorders are mainly relied on as evidence sources. However, the shooting quality of field photos is affected by many factors, and it is difficult to be used as comprehensive and reliable evidence; while car recorders can record the accident process, but their recording range is limited, and there are cases where the owner refuses to provide or tamper with evidence due to fear of being against himself. Secondly, due to the complexity of the accident scene, the different perspectives of the parties involved in the accident, and the different familiarity with traffic regulations, it is difficult to reach a consensus on the accident liability, which not only affects the efficiency of accident handling, but also increases the contradictions and disputes between the two parties. Finally, whether the parties involved in the accident judge themselves or the police arrive at the scene to judge, the judgment result may be inaccurate due to various factors. This not only affects the fairness of the accident handling, but also causes unnecessary losses to both parties.

[0050] The related technology 1 discloses a system for traffic accident fast reporting and fast compensation, the system comprises a user end and a service end, the system sets an alarm scene according to an application scene, the alarm supports video and graphic text alarm, a user reports a traffic accident online through an application program; after the user end reports information and does verification, the service end sends a user information to a corresponding jurisdiction traffic police online fast responsibility distribution platform according to current positioning information of the user, intelligently distributes a traffic accident report video request and a self-service graphic text case, and sends the user information to the traffic police online fast responsibility distribution platform; the user end selects a suitable report mode and data uploading matching according to an actual scene of the user end, and realizes fast online traffic accident reporting and compensation. However, the system has the problems of limitation of evidence collection, difficulty in reaching an agreement between the two parties, and frequent wrong judgment.

[0051] The related technology 2 discloses an accident scene restoration method and device and a motion monitoring equipment, the method collects road conditions through a UAV, and then combines a sensing device of a vehicle to restore an accident scene. However, in the capture of key information such as red light running in an accident, the UAV collection of road conditions may be missed, and the complete situation of the accident cannot be fully reflected. In addition, the high cost of the UAV makes it difficult to be widely deployed for accident scene restoration.

[0052] To solve the above problems, the application provides an accident handling method. In the case of a traffic accident, the cloud server obtains vehicle data of the accident vehicle through V2X. The vehicle data obtained by V2X directly comes from the sensors and control system of the vehicle, and does not depend on the report of a third party or the description of a witness. Through V2X technology, the position, speed, acceleration, direction and other key information of the vehicle can be collected and transmitted in real time, providing comprehensive and accurate data support. Further, the cloud server generates a simulated trajectory video based on the vehicle data. The generation of the simulated trajectory video is based on objective data, which can reduce the influence of human factors and improve the fairness and accuracy of accident responsibility determination. Finally, the cloud server sends the simulated trajectory video to the responsibility determination platform, so that the responsibility determination platform determines the responsibility of the accident vehicle based on the simulated trajectory video. Through the simulated trajectory video, the motion trajectory of the accident vehicle on the accident section can be restored, providing intuitive evidence for accident analysis. Further, the responsibility determination platform can quickly complete the responsibility determination and improve the efficiency of accident handling.

[0053] Before the fault detection method provided by the application is described in detail, the implementation environment (implementation architecture) involved in the application will be briefly introduced.

[0054] Figure 1 A structural schematic diagram of an accident handling system is shown. As Figure 1As shown, the accident handling system includes a cloud platform, a vehicle equipped with a V2X on-board device, an authentication platform, and a liability determination platform. The cloud platform can be connected to the vehicle through V2X, the cloud platform, the authentication platform, and the liability determination platform can be connected through wired or wireless networks, and the authentication platform and the liability determination platform can be connected through wired or wireless networks.

[0055] In some embodiments, the cloud platform can be a separate server, or it can also be a server cluster composed of multiple servers. In some embodiments, the server cluster can also be a distributed cluster. Optionally, the cloud platform can include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an inter-cloud, a multi-cloud, etc., or any combination thereof. The embodiments of the present application do not limit this.

[0056] For example, the cloud platform is used to interact with the vehicle equipped with the V2X on-board device. Through V2X, the cloud platform can send and receive messages and interact with the vehicle. The vehicle can upload vehicle data to the cloud platform through V2X, the cloud platform processes the vehicle data to obtain a simulated trajectory video of the vehicle, further uploads the identity of the vehicle to the authentication platform, and sends the vehicle data and the simulated trajectory video of the vehicle to the liability determination platform.

[0057] For example, the authentication platform is used to receive the identity of the vehicle sent by the cloud platform. The authentication platform can confirm the identity of the vehicle based on the identity of the vehicle, and then send the vehicle registration information to the liability determination platform. Optionally, the authentication platform is a V2X authentication platform with V2X authentication qualifications, and the ability to register identity certificates and issue pseudonym certificates.

[0058] For example, the liability determination platform is used to receive the vehicle data and the simulated trajectory video of the vehicle, and the vehicle registration information sent by the authentication platform, and then the liability determination platform can determine the accident liability of the vehicle. Optionally, the liability determination platform is a cloud platform designated by the traffic police and has the ability to preliminarily judge the accident according to the evidence.

[0059] For ease of understanding, the accident handling method provided by the present application is specifically introduced below in conjunction with the drawings.

[0060] Figure 2 is a flowchart of an accident handling method according to an exemplary embodiment, as shown in Figure 2 The accident handling method is applied to a cloud server, and includes the following steps:

[0061] S201, in the case of a traffic accident, obtaining vehicle data of an accident vehicle through V2X.

[0062] In some embodiments, V2X is a kind of city road self-driving technical solution of vehicle-road cooperation, which can realize data interaction between vehicles and clouds through cellular network. Therefore, the vehicle equipped with V2X vehicle-mounted device will upload the vehicle data of the vehicle, such as basic safety message (BSM), to the cloud server through V2X at a certain frequency. At the same time, the V2X vehicle-mounted device can identify abnormal information in the vehicle data, such as airbag opening, abnormal speed, abnormal displacement, etc., and further identify the occurrence of traffic accidents. Further, in the case of traffic accidents, the cloud server can obtain the vehicle data of the accident vehicle through V2X and master the state of the accident vehicle in real time.

[0063] In some embodiments, the accident vehicle includes a first vehicle and a second vehicle; in the case that both the first vehicle and the second vehicle are equipped with V2X vehicle-mounted devices, the vehicle data of the accident vehicle includes the vehicle data of the first vehicle and the vehicle data of the second vehicle; in the case that the first vehicle is equipped with V2X vehicle-mounted device and sensing device, the vehicle data of the accident vehicle includes the vehicle data of the first vehicle and the sensing data sensed by the first vehicle through the sensing device, for example, the sensing data sensed by the first vehicle through the sensing device includes the speed data, vehicle feature data, position data, etc. of the second vehicle; in the case that the second vehicle is equipped with V2X vehicle-mounted device and sensing device, the vehicle data of the accident vehicle includes the vehicle data of the second vehicle and the sensing data sensed by the second vehicle through the sensing device, for example, the sensing data sensed by the second vehicle through the sensing device includes the speed data, vehicle feature data, position data, etc. of the first vehicle.

[0064] It should be noted that the vehicle data includes at least one of the following: vehicle identification, heading, speed, latitude and longitude, gear position, brake state, four-way acceleration, historical trajectory, vehicle length and width, vehicle light state, vehicle accident event.

[0065] It should be understood that the V2X vehicle-mounted device can be used to upload the vehicle data of the vehicle, and the sensing device can be used to sense the vehicle data of the accident vehicle without V2X vehicle-mounted device and upload to the cloud server.

[0066] S202, generating a simulation trajectory video according to the vehicle data.

[0067] The simulation trajectory video is used to restore the motion trajectory of the accident vehicle on the accident road section.

[0068] In some embodiments, after obtaining the vehicle data of the accident vehicle, the cloud server can simulate the motion trajectory of the vehicle on the accident road section according to the position, speed, direction, etc. of the vehicle. At the same time, combined with the environmental data sensed by the sensor, the cloud server can also simulate the interaction between the vehicle and other traffic participants.

[0069] In some embodiments, a three-dimensional model of the accident scene is created using computer graphics technology, such as 3D modeling software, and a physics simulation engine. The collected vehicle data is input into the simulation environment to simulate the vehicle's movement trajectory before and after the accident. Further, animation software is used to convert the simulation results into a visual video format, showing the vehicle's movement trajectory and dynamic changes on the accident section.

[0070] It should be understood that when the cloud server generates the simulation trajectory video, it can obtain on-site data such as the lane in which the vehicle is located, whether there is a lane change, whether there is a red light violation, whether there is a solid line violation, etc. At the same time, the cloud server saves a period of original data, which can be used for police investigation and subsequent analysis.

[0071] In one implementation, to make the accident analysis more intuitive and easy to understand, specifically, as shown in Figure 3 S202 can be implemented as S202a-S202b as follows:

[0072] S202a, determining the historical movement trajectory of the accident vehicle according to the vehicle data.

[0073] In some embodiments, the vehicle data not only records the current running state of the vehicle, but also includes historical driving data of the vehicle, such as driving path, speed change record, etc. The cloud server can obtain the movement trajectory of the accident vehicle before and after the accident by analyzing the position data of the vehicle, such as latitude, longitude, and heading angle. At the same time, combined with the speed and acceleration data, the dynamic changes of the accident vehicle, such as acceleration, deceleration, turning, etc. can be further analyzed, and finally the historical movement trajectory of the accident vehicle can be determined.

[0074] It should be understood that the sensor data also provides a basis for determining the historical movement trajectory. For example, the video and images captured by the camera can determine the interaction between the accident vehicle and the surrounding environment, and the obstacles detected by the radar can determine the potential risks encountered by the accident vehicle during driving.

[0075] S202b, dynamically mapping the historical movement trajectory to the lane of the accident section according to time to obtain a simulation trajectory video.

[0076] In some embodiments, the position information of the accident vehicle at each time point is mapped onto the corresponding lane. After matching the historical motion trajectory of the accident vehicle with the lane, a simulation trajectory video is generated using computer graphics technology. The simulation trajectory video intuitively shows the motion of the accident vehicle at the time of the accident and clearly shows the behavior of the accident vehicle before and after the accident, including any actions or reactions that may have caused the accident. In addition, during the generation of the simulation trajectory video, other information such as dynamic data such as the speed and acceleration of the vehicle, as well as background information such as the sound of the surrounding environment and weather conditions, can be added as needed. These information can be displayed in the video in the form of text, icons or animations, so as to more intuitively understand the process and details of the accident.

[0077] In some embodiments, the lanes of the accident road section are determined based on the following methods, including: determining the lanes of the accident road section based on the map data of the accident road section; or, in the case that the vehicle data includes perception data, determining the surrounding vehicles of the accident vehicle based on the perception data, and determining the lanes of the accident road section based on the surrounding vehicles of the accident vehicle, for example, determining the lanes of the accident road section based on the positions, speeds, driving directions, etc. of the surrounding vehicles.

[0078] It should be understood that in the case that there is map data for the accident road section, the lane information provided by the map data is directly used, and in the case that there is no map data for the accident road section, the lanes are determined based on the perception results of the surrounding vehicles in the perception data in the vehicle data, which improves the accuracy and reliability of the simulation trajectory video.

[0079] S203, sending the simulation trajectory video to the liability determination platform, so that the liability determination platform determines the liability of the accident vehicle based on the simulation trajectory video.

[0080] In some embodiments, the cloud server sends the generated simulation trajectory video to the liability determination platform, and after the liability determination platform receives the video, it uses professional analysis tools to analyze the content of the video in detail. According to the information of the vehicle motion trajectory, speed change, interaction with other vehicles, etc. in the video and the traffic rules, the liability determination platform will give a preliminary liability judgment.

[0081] Optionally, an artificial intelligence algorithm (such as a deep learning model) is used to analyze the content of the simulation trajectory video, identify key events, and assist in determining liability.

[0082] In some embodiments, the attribution platform sends the accident handling result to the accident related party, which can view the simulation trajectory video and the attribution reason. If the accident related party has no objection, the accident is closed; if the accident related party has objection, the accident related party can submit supplementary evidence such as on-site photos, a driving recorder, etc. within a specified time, and the police will handle it online and make a review decision based on the simulation trajectory video, the supplementary evidence and the original data saved in the cloud server.

[0083] In some embodiments, in order to realize the confirmation of the identity of the accident vehicle, as shown in Figure 4 The accident handling method provided by the embodiments of the present application further includes the following steps:

[0084] S204, sending the identity identifier of the accident vehicle to the V2X authentication platform, so that the V2X authentication platform confirms the identity of the accident vehicle based on the identity identifier of the accident vehicle.

[0085] The identity identifier of the accident vehicle includes at least one of the following: pseudonym certificate signature of the accident vehicle, license plate number information of the accident vehicle.

[0086] It can be understood that the V2X authentication platform is an authoritative agency specially used for verifying the identity of the vehicle, has V2X authentication qualification, and has the ability of registering identity certificate and issuing pseudonym certificate. When the accident related party handles the accident, the identity authentication will be performed first, at this time the cloud server sends the identity identifier of the accident vehicle to the V2X authentication platform, and by comparing the pseudonym certificate signature of the vehicle, the license plate number information, etc. with the data stored in the platform, the V2X authentication platform can quickly confirm the identity of the accident vehicle. This identity confirmation mechanism helps to prevent false reports and false reports, and ensures the accuracy and fairness of the accident handling. At the same time, it can also provide strong support for subsequent accident investigation and responsibility pursuit.

[0087] In some embodiments, in the case that the accident related party's accident vehicle is equipped with a V2X on-board device, the identity identifier of the accident vehicle sent by the cloud server to the V2X authentication platform can include the pseudonym certificate signature of the accident related party's accident vehicle; then, the V2X authentication platform acquires vehicle registration information according to the pseudonym certificate signature of the accident vehicle after receiving the pseudonym certificate signature of the accident vehicle, and sends it to the attribution platform for identity confirmation.

[0088] For example, in the case of an accident involving only one vehicle equipped with a V2X device, the party with the V2X device needs to upload photos of the accident scene. The cloud server identifies the license plate number based on the photos of the accident scene and sends it to the V2X authentication platform for identity verification. The V2X authentication platform then sends the vehicle registration information obtained after identity verification (identity verification result) to the liability determination platform. Further, the liability determination platform notifies the parties involved in the accident of the identity verification result through SMS, website or APP, etc. After the parties involved in the accident confirm the identity information, they return a receipt to the liability determination platform. Then, the parties involved in the accident upload their own evidence, such as photos of the accident scene and videos from the vehicle event data recorder, etc.

[0089] Optionally, the vehicle identity can be transmitted and verified securely through encryption technology (such as public key infrastructure, PKI) to ensure the integrity and authenticity of the data.

[0090] Optionally, the cloud server can also be integrated with existing vehicle registration databases and insurance databases to achieve identity verification of the accident vehicle.

[0091] It should be understood that the cloud server can first send the identity of the accident vehicle to the V2X authentication platform and then send the simulated trajectory video to the liability determination platform. Alternatively, the cloud server can first send the simulated trajectory video to the liability determination platform and then send the identity of the accident vehicle to the V2X authentication platform. Alternatively, the cloud server can send the identity of the accident vehicle to the V2X authentication platform and send the simulated trajectory video to the liability determination platform at the same time. That is, the above step S204 can be performed before step S203, or after step S203, or step S203 and step S204 can be performed at the same time, and the present application embodiment does not limit this.

[0092] For example, in the case of an accident involving only one vehicle equipped with a V2X device, the party with the V2X device needs to upload photos of the accident scene. The cloud server identifies the license plate number based on the photos of the accident scene and sends it to the V2X authentication platform for identity verification. The V2X authentication platform then sends the vehicle registration information obtained after identity verification (identity verification result) to the liability determination platform. Further, the liability determination platform notifies the parties involved in the accident of the identity verification result through SMS, website or APP, etc. After the parties involved in the accident confirm the identity information, they return a receipt to the liability determination platform. Then, the parties involved in the accident upload their own evidence, such as photos of the accident scene and videos from the vehicle event data recorder, etc. Figure 5As shown, according to the flowchart of the accident handling method shown in an exemplary embodiment, first, the cloud server obtains the vehicle data of the accident vehicles (vehicle 1 and vehicle 2), and the vehicle data includes the vehicle data and the perception data. The specific description can refer to the related description of S201 described above, and the present application will not be described here. Then, in the case that the accident vehicles are all equipped with V2X vehicle-mounted devices, the cloud server can send the vehicle pseudonym certificate signature of the accident vehicles to the authentication platform (V2X authentication platform), the authentication platform determines the vehicle registration information according to the vehicle pseudonym certificate signature, and sends it to the liability determination platform. The identity confirmation result is notified to the mobile phone of the accident related party through SMS, website or APP and the like, and the accident related party confirms the identity information and sends the receipt to the liability determination platform. The specific description can refer to the related description of S204 described above, and the present application will not be described here. Further, the cloud server determines the simulation trajectory video of the accident vehicles according to the map data, road data, traffic light data and the like. The specific description can refer to the related description of S202 described above, and the present application will not be described here. Finally, the cloud server sends the simulation trajectory video of the accident vehicles to the liability determination platform for preliminary liability determination, and the liability determination platform sends the liability determination result (accident handling result) to the mobile phone of the accident related party. In addition, the accident related party can also upload supplementary evidence to the liability determination platform through the mobile phone and apply for reconsideration, and the liability determination platform makes a reconsideration decision. The specific description can refer to the related description of S203 described above, and the present application will not be described here.

[0093] The above mainly introduces the scheme provided by the embodiments of the present application from the perspective of method. In order to realize the above functions, the accident handling device or electronic equipment contains the corresponding hardware structure and / or software module for executing each function. Those skilled in the art should easily realize that the units and algorithm steps of each example described in combination with the embodiments disclosed in the present application can be realized in the form of hardware or combination of hardware and computer software. Whether a certain function is realized in the form of hardware or computer software driven hardware depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to realize the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0094] The embodiments of the present application can divide the functional modules of the accident handling device or electronic equipment according to the above method. For example, the accident handling device or electronic equipment can include functional modules corresponding to each functional division, or two or more functions can be integrated into one processing module. The above integrated module can be realized in the form of hardware or software functional module. It should be noted that the division of modules in the embodiments of the present application is illustrative, and is only a logical functional division. Actual implementation can have another division method.

[0095] Figure 6 is a block diagram of an accident processing apparatus according to an exemplary embodiment. Referring to Figure 6 , the accident processing apparatus 600 comprises an obtaining module 601, a generating module 602, and a sending module 603.

[0096] The obtaining module 601 is configured to obtain vehicle data of an accident vehicle through V2X in the case of a traffic accident.

[0097] The generating module 602 is configured to generate a simulation trajectory video according to the vehicle data, the simulation trajectory video being used to restore a motion trajectory of the accident vehicle on an accident road section.

[0098] The sending module 603 is configured to send the simulation trajectory video to a liability determination platform, so that the liability determination platform determines liability of the accident vehicle based on the simulation trajectory video.

[0099] Optionally, the accident vehicle comprises a first vehicle and a second vehicle; in the case that both the first vehicle and the second vehicle are equipped with a V2X on-board device, the vehicle data of the accident vehicle comprises self-vehicle data of the first vehicle and self-vehicle data of the second vehicle; in the case that the first vehicle is equipped with a V2X on-board device and a perception device, the vehicle data of the accident vehicle comprises self-vehicle data of the first vehicle and perception data of the first vehicle perceived through the perception device; in the case that the second vehicle is equipped with a V2X on-board device and a perception device, the vehicle data of the accident vehicle comprises self-vehicle data of the second vehicle and perception data of the second vehicle perceived through the perception device.

[0100] Optionally, the self-vehicle data comprises at least one of the following: vehicle identification, heading, speed, latitude and longitude, gear position, brake state, four-way acceleration, historical trajectory, vehicle length and width, vehicle light state, and vehicle accident event.

[0101] Optionally, in order to make the accident analysis more intuitive, as shown in Figure 6 , the generating module 602 is specifically configured to: determine a historical motion trajectory of the accident vehicle according to the vehicle data; and dynamically map the historical motion trajectory onto a lane of the accident road section according to time to obtain the simulation trajectory video.

[0102] Optionally, the lane of the accident road section is determined based on the following manners, comprising:

[0103] determining the lane of the accident road section based on map data of the accident road section; or

[0104] in the case that the vehicle data comprises perception data, determining surrounding vehicles of the accident vehicle based on the perception data, and determining the lane of the accident road section based on the surrounding vehicles of the accident vehicle.

[0105] Optionally, in order to confirm the identity of the vehicle involved in the accident, such as Figure 6 As shown, the sending module 603 is further configured to: send the identification identifier of the accident vehicle to the V2X authentication platform so that the V2X authentication platform can confirm the identity of the accident vehicle based on the identification identifier of the accident vehicle; wherein, the identification identifier of the accident vehicle includes at least one of the following: the pseudonym certificate signature of the accident vehicle and the license plate number information of the accident vehicle.

[0106] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0107] Figure 7 This is a block diagram illustrating an electronic device according to an exemplary embodiment. Figure 7 As shown, the electronic device 700 includes, but is not limited to, a processor 701 and a memory 702.

[0108] The memory 702 described above is used to store the executable instructions of the processor 701. It is understood that the processor 701 is configured to execute instructions to implement the accident handling method in the above embodiments.

[0109] It should be noted that those skilled in the art will understand that Figure 7 The electronic device structure shown does not constitute a limitation on the electronic device; the electronic device may include, but is not limited to, other electronic devices. Figure 7 This may indicate more or fewer components, or combinations of certain components, or different component arrangements.

[0110] Processor 701 is the control center of the electronic device. It connects various parts of the electronic device via various interfaces and lines. By running or executing software programs and / or modules stored in memory 702, and by calling data stored in memory 702, it performs various functions and processes data, thereby providing overall monitoring of the electronic device. Processor 701 may include one or more processing units. Optionally, processor 701 may integrate an application processor and a modem processor. The application processor mainly handles the operating system, user interface, and applications, while the modem processor mainly handles wireless communication. It is understood that the modem processor may not be integrated into processor 701.

[0111] The memory 702 can be used to store software programs and various data. The memory 702 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, application programs (such as a determination unit, a processing unit, etc.) required by at least one function module, and the like. In addition, the memory 702 can include a high-speed random access memory, and can also include a non-volatile memory, for example, at least one magnetic disk storage device, a flash memory device, or other volatile solid-state memory device.

[0112] In an example embodiment, a computer readable storage medium including instructions, for example, the memory 702 including instructions, is also provided, which can be executed by the processor 701 of the electronic device 700 to implement the accident processing method in the above embodiments.

[0113] In actual implementation, Figure 6 The functions of the acquisition module 601, the generation module 602, and the sending module 603 in the above embodiment can be implemented by the processor 701 calling the computer program stored in the memory 702. Figure 7 The specific execution process can refer to the description of the accident processing method part in the above embodiment, which will not be described here.

[0114] Alternatively, the computer readable storage medium can be a non-transitory computer readable storage medium, for example, the non-transitory computer readable storage medium can be a read-only memory (Read-Only Memory, ROM), a random access memory (Random Access Memory, RAM), a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device, etc.

[0115] In an example embodiment, the embodiments of the present application also provide a computer program product including one or more instructions, which can be executed by the processor 701 of the electronic device to complete the accident processing method in the above embodiments.

[0116] It should be noted that the instructions in the above computer readable storage medium or the one or more instructions in the computer program product are executed by the processor of the electronic device to implement each process of the above accident processing method embodiments, and can achieve the same technical effect as the above accident processing method. To avoid repetition, it will not be described here.

[0117] Through the description of the above embodiments, those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above functional modules is taken as an example for illustration, and in actual application, the above functions can be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete the full classification part or part of the functions described above.

[0118] In several embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented by other manners. For example, the apparatus embodiments described above are merely illustrative, for example, the division of the modules or units is merely a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another apparatus, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units or components shown or discussed can be indirect coupling or communication connection through some interfaces, apparatuses or units, and can be electrical, mechanical or other forms.

[0119] The units described as separate components can or can not be physically separate, and the components shown as units can be one physical unit or a plurality of physical units, that is, can be located in one place, or can be distributed to a plurality of different places. Part or all of the classification units can be selected according to actual needs to achieve the purpose of the embodiment scheme.

[0120] In addition, the function units in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present alone, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of software function unit.

[0121] If the integrated unit is realized in the form of software function unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical scheme of the embodiment of the present application or the part of the prior art or the whole classification or part of the technical scheme can be embodied in the form of software product stored in a storage medium, including a plurality of instructions for making an apparatus (which can be a single chip microcomputer, chip, etc.) or processor execute the whole classification or part of the steps of the embodiment method. The foregoing storage medium includes: U disk, mobile hard disk, ROM, RAM, magnetic disk or optical disk and various program code storage media.

[0122] The above is only a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, any change or replacement within the technical scope disclosed in the present application should be covered in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. An accident handling method, characterized by, The method applied to a cloud server comprises: In the case of a traffic accident, vehicle data of an accident vehicle is acquired through V2X; According to the vehicle data, a simulation trajectory video is generated, which is used to restore the motion trajectory of the accident vehicle on an accident road section; The simulation trajectory video is sent to a liability determination platform, so that the liability determination platform determines the liability of the accident vehicle based on the simulation trajectory video.

2. The method of claim 1, wherein, The accident vehicle comprises a first vehicle and a second vehicle; In the case that both the first vehicle and the second vehicle are equipped with a V2X on-board device, the vehicle data of the accident vehicle comprises self-vehicle data of the first vehicle and self-vehicle data of the second vehicle; In the case that the first vehicle is equipped with the V2X on-board device and a perception device, the vehicle data of the accident vehicle comprises self-vehicle data of the first vehicle and perception data perceived by the first vehicle through the perception device; In the case that the second vehicle is equipped with the V2X on-board device and a perception device, the vehicle data of the accident vehicle comprises self-vehicle data of the second vehicle and perception data perceived by the second vehicle through the perception device.

3. The method of claim 2, wherein, The self-vehicle data comprises at least one of the following: vehicle identification, heading, speed, latitude and longitude, gear position, brake state, four-way acceleration, historical trajectory, vehicle length and width, vehicle light state, and vehicle accident event.

4. The method of claim 1, wherein, The method further comprises: According to the vehicle data, the historical motion trajectory of the accident vehicle is determined; The historical motion trajectory is dynamically mapped onto the lane of the accident road section according to time, to obtain the simulation trajectory video.

5. The method of claim 4, wherein, The lane of the accident road section is determined based on map data of the accident road section, or In the case that the vehicle data comprises perception data, the surrounding vehicles of the accident vehicle are determined based on the perception data, and the lane of the accident road section is determined based on the surrounding vehicles of the accident vehicle. The method further comprises:

6. The method of claim 1, wherein, The identity of the accident vehicle is sent to a V2X authentication platform, so that the V2X authentication platform confirms the identity of the accident vehicle based on the identity of the accident vehicle; wherein the identity of the accident vehicle comprises at least one of the following: pseudonym certificate signature of the accident vehicle and license plate number information of the accident vehicle. The device applied to a cloud server comprises an acquisition module, a generation module, and a sending module; 7. An accident handling apparatus characterized by comprising: The acquisition module is configured to acquire vehicle data of an accident vehicle through V2X in the case of a traffic accident; The generation module is configured to generate a simulation trajectory video according to the vehicle data, which is used to restore the motion trajectory of the accident vehicle on an accident road section; The sending module is configured to send the simulation trajectory video to a liability determination platform, so that the liability determination platform determines the liability of the accident vehicle based on the simulation trajectory video. The accident vehicle comprises a first vehicle and a second vehicle; 8. The apparatus of claim 7, wherein, ​ In a case where the first vehicle and the second vehicle are both equipped with a V2X on-board device, the vehicle data of the accident vehicle includes self-vehicle data of the first vehicle and self-vehicle data of the second vehicle; In a case where the first vehicle is equipped with the V2X on-board device and a perception device, the vehicle data of the accident vehicle includes self-vehicle data of the first vehicle and perception data perceived by the first vehicle through the perception device; In a case where the second vehicle is equipped with the V2X on-board device and a perception device, the vehicle data of the accident vehicle includes self-vehicle data of the second vehicle and perception data perceived by the second vehicle through the perception device.

9. An electronic device, comprising: comprise: a processor; a memory for storing instructions executable by the processor; wherein the processor is configured to execute the instructions to implement the method of any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that, When computer-executable instructions stored in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device can perform the method of any one of claims 1 to 6.

Images