Displacement guiding method after vehicle collision accident and related product

Abstract

The embodiment of the invention discloses a displacement guiding method after a vehicle collision accident and a related product, the method is applied to diagnosis equipment, the method comprises the following steps: obtaining accident data when a target vehicle has a vehicle collision accident, the accident data being used for reflecting the accident occurrence condition of the vehicle collision accident; obtaining fault code data of the target vehicle, wherein the fault code data is used for reflecting fault conditions of internal elements of the target vehicle; determining the accident grade of the vehicle collision accident based on the accident data and the fault code data, wherein the accident grade is used for reflecting the severity of the vehicle collision accident; when the accident level is lower than a preset first level, determining whether the target vehicle has a shifting demand or not; and when the target vehicle has the displacement demand, generating a first displacement guiding scheme, and guiding the target vehicle to move to a first target position corresponding to the first displacement guiding scheme according to the first displacement guiding scheme.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicles, and in particular to a displacement guidance method and related products after a vehicle collision accident. Background Art

[0002] As the number of cars continues to increase, the frequency of vehicle collision accidents on the road has also increased accordingly. After a vehicle collision accident occurs, the current handling process often relies on the driver of the accident vehicle or related personnel to make a preliminary judgment on the accident and further decide whether to maintain the accident scene to wait for the insurance company or traffic police to come and handle it.

[0003] However, when an accident occurs on a road with heavy traffic, the user's inaccurate judgment or the long time required for judgment often leads to road congestion, reducing the transportation efficiency of the road after the accident.

[0004] Therefore, there is an urgent need for a displacement guidance method after a vehicle collision accident, so as to provide displacement guidance for the vehicle as needed after the accident occurs, so as to improve the transportation efficiency of the road where the accident occurs. Summary of the invention

[0005] In order to solve the above problems, an embodiment of the present invention provides a displacement guidance method and related products after a vehicle collision accident. After a vehicle collision accident occurs, the vehicle can be displaced as needed to improve the transportation efficiency of the road where the accident occurred.

[0006] In a first aspect, an embodiment of the present invention provides a displacement guidance method after a vehicle collision accident, the method is applied to a diagnostic device, and the method includes:

[0007] Acquiring accident data when a vehicle collision accident occurs to a target vehicle, wherein the accident data is used to reflect the accident situation of the vehicle collision accident;

[0008] Acquiring fault code data of the target vehicle, wherein the fault code data is used to reflect the fault condition of the internal components of the target vehicle;

[0009] Determining an accident level of the vehicle collision accident based on the accident data and the fault code data, wherein the accident level is used to reflect the severity of the vehicle collision accident;

[0010] When the accident level is lower than a preset first level, determining whether the target vehicle needs to be moved;

[0011] When the target vehicle has the displacement requirement, a first displacement guidance scheme is generated, and the target vehicle is guided to be displaced to a first target position corresponding to the first displacement guidance scheme according to the first displacement guidance scheme.

[0012] In a second aspect, an embodiment of the present invention provides a displacement guidance device after a vehicle collision accident, the device is applied to a diagnostic device; the device includes an acquisition unit and a processing unit;

[0013] The acquisition unit is used to acquire accident data when a vehicle collision accident occurs to the target vehicle, and the accident data is used to reflect the accident situation of the vehicle collision accident;

[0014] Acquiring fault code data of the target vehicle, wherein the fault code data is used to reflect the fault condition of the internal components of the target vehicle;

[0015] The processing unit is used to determine the accident level of the vehicle collision accident based on the accident data and the fault code data, wherein the accident level is used to reflect the severity of the vehicle collision accident;

[0016] When the accident level is lower than a preset first level, determining whether the target vehicle needs to be moved;

[0017] When the target vehicle has the displacement requirement, a first displacement guidance scheme is generated, and the target vehicle is guided to be displaced to a first target position corresponding to the first displacement guidance scheme according to the first displacement guidance scheme.

[0018] In a third aspect, an embodiment of the present invention provides a diagnostic device, comprising a processor and a memory, wherein the processor is connected to the memory, the memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory so that the diagnostic device performs the method described in the first aspect.

[0019] Implementing the embodiments of the present application has the following beneficial effects:

[0020] In the implementation mode of the present application, the accident data of the target vehicle when the vehicle collision accident occurs is first obtained, and the accident data is used to reflect the accident situation of the vehicle collision accident, and the fault code data of the target vehicle is obtained, and the fault code data is used to reflect the fault situation of the internal components of the target vehicle. Then, the accident level of the vehicle collision accident is determined based on the accident data and the fault code data, and the accident level is used to reflect the severity of the vehicle collision accident. When the accident level is lower than the preset first level, it is determined whether the target vehicle has a displacement demand. When the target vehicle has a displacement demand, a first displacement guidance scheme is generated, and the target vehicle is guided to shift to the first target position corresponding to the first displacement guidance scheme according to the first displacement guidance scheme. Thus, firstly, by determining the accident level of the vehicle collision accident, it is possible to quickly determine whether the current vehicle collision accident is a small accident, and secondly determine whether the current accident vehicle has a displacement demand, and finally guide the vehicle to quickly shift when there is a displacement demand, thereby improving the transportation efficiency of the road where the accident occurred. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the background technology, the drawings required for use in the embodiments of the present invention or the background technology will be described below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0022] Figure 1 It is a schematic diagram of the architecture of a displacement guidance system after a vehicle collision accident provided by an embodiment of the present application;

[0023] Figure 2 is a flow chart of a displacement guidance method after a vehicle collision accident provided by an embodiment of the present application;

[0024] Figure 3 It is a structural schematic diagram of a displacement guiding device after a vehicle collision accident provided by an embodiment of the present application;

[0025] Figure 4 It is a schematic diagram of the structure of a diagnostic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0026] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0027] The terms "first", "second", "third" and "fourth" etc. in the specification and claims of the present application and the drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or modules is not limited to the listed steps or modules, but optionally includes steps or modules that are not listed, or optionally includes other steps or modules inherent to these processes, methods, products or devices.

[0028] Reference to "embodiments" herein means that a particular feature, result, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0029] In the traditional vehicle collision accident handling method, after a vehicle collision accident occurs, it is necessary to conduct a vehicle appearance inspection, a vehicle function inspection, and a vehicle interior inspection to detect the deformation of the vehicle body, the degree of damage to parts, the power system, the braking system, the steering system, and the dashboard warning lights, etc., and then determine whether it is necessary to maintain the accident scene or whether the vehicle can be moved. The judgment process is complicated, resulting in a long judgment time and low accuracy of the judgment result. In the case of heavy traffic on the road where the accident occurred, it may cause road congestion. For example, when the vehicle is stationary, it is necessary to turn the steering wheel left and right to determine whether the force of the steering wheel is uniform, whether the rotation is smooth, and whether there is any jamming, and to determine whether the front wheels of the vehicle turn normally following the rotation of the steering wheel, and to determine whether the various warning lights on the vehicle dashboard are on. If the steering wheel turns smoothly and the front wheels turn normally, it means that the steering system is basically normal and the vehicle can be moved away. However, if the steering wheel is difficult to turn, there is obvious jamming, or the front wheel steering is not sensitive, and is inconsistent with the steering wheel turning angle, then the vehicle may not be able to control the direction normally during the removal process, which is dangerous. At this time, it is not appropriate to move the vehicle. If no warning lights are on on the dashboard or only some warning lights that do not affect the driving safety of the vehicle are on, the vehicle can be moved away. However, if the warning lights of key systems such as the engine fault light and the brake system fault light are on, it means that there may be a fault in the vehicle-related system, and further inspection is required before deciding whether to move the vehicle. In order to enable the accident vehicle to be quickly relocated in the event of a relatively small vehicle collision accident to avoid traffic congestion, the embodiment of the present application provides a method for guiding the relocation after a vehicle collision accident. First, it can quickly determine whether the current vehicle collision accident is a small accident, and secondly determine whether the current accident vehicle has a need for relocation. Finally, when there is a need for relocation, the vehicle is guided to relocate quickly.

[0030] The displacement guidance method after a vehicle collision accident provided in the embodiment of the present application can be applied to an autonomous driving scenario or a manual driving scenario. The displacement guidance method after a vehicle collision accident provided in the embodiment of the present application is applied to a diagnostic device, see Figure 1 , Figure 1 1 is a schematic diagram of the structure of a displacement guidance system after a vehicle collision accident provided by an embodiment of the present application. The displacement guidance system after a vehicle collision accident includes a diagnostic device 10 and a target vehicle 11. The diagnostic device 10 is arranged on the target vehicle 11 and can be connected to the target vehicle 11 to obtain accident-related data of the target vehicle 11. The diagnostic device 10 is connected to the electronic control unit of the target vehicle 11 to read the data of the internal system of the vehicle, such as data information and fault codes of the engine, transmission, brake system, etc., so as to detect and diagnose the internal electronic system of the target vehicle 11, so as to determine the health status of the mechanical and electronic systems of the target vehicle 11.

[0031] See also Figure 2 , Figure 2 This is a flow chart of a method for guiding displacement after a vehicle collision accident provided in an embodiment of the present application.

[0032] like Figure 2 As shown, the method includes but is not limited to the following steps:

[0033] Step S101: Acquire accident data when a vehicle collision accident occurs to a target vehicle;

[0034] Among them, accident data is used to reflect the occurrence of vehicle collision accidents;

[0035] Step S102: Obtaining fault code data of the target vehicle;

[0036] Among them, the fault code data is used to reflect the fault conditions of the internal components of the target vehicle;

[0037] Step S103: determining the accident level of the vehicle collision accident based on the accident data and the fault code data;

[0038] Among them, the accident level is used to reflect the severity of the vehicle collision accident;

[0039] Step S104: when the accident level is lower than a preset first level, determining whether the target vehicle has a need to be relocated;

[0040] Step S105: When the target vehicle has a displacement requirement, a first displacement guidance scheme is generated, and the target vehicle is guided to be displaced to a first target position corresponding to the first displacement guidance scheme according to the first displacement guidance scheme.

[0041] In a possible embodiment, after a vehicle collision accident occurs in a target vehicle, accident data for the target vehicle when the vehicle collision accident occurs is obtained. The accident data may be the position of the target vehicle, the vehicle collision angle, and the damaged part of the vehicle. The accident data may also be the degree of damage to the collision object and the surrounding environment of the accident. The accident data is used to reflect the accident situation of the vehicle collision accident. The accident data can be obtained through a vehicle-mounted driving recorder. If the vehicle is equipped with a driving recorder and its lens angle is adjustable, after an accident occurs, the lens angle can be adjusted through the control button of the driving recorder, and the collision situation and surrounding environment outside the vehicle can be photographed or recorded, thereby obtaining the accident data. The accident data can also be obtained through a 360-degree panoramic imaging system. The 360-degree panoramic imaging system can obtain a full range of viewing angles around the vehicle, and can determine the damage situation of the vehicle in all directions and the positional relationship with surrounding objects.

[0042] In a possible embodiment, the fault code data of the target vehicle is obtained, and the fault code data is used to reflect the fault condition of the internal components of the target vehicle. The fault codes stored in each electronic control unit of the target vehicle can be read by connecting the diagnostic device to the on-board diagnostic system interface of the target vehicle. These fault codes are specific codes generated by the vehicle electronic system when an abnormality is detected, and each fault code corresponds to specific fault information. After the vehicle collides, these fault codes can be read by the diagnostic device to quickly determine whether there is a related fault, such as a collision sensor fault. The data of various sensors on the target vehicle can be monitored in real time by the diagnostic device, such as the data of the vehicle speed sensor, wheel speed sensor, acceleration sensor, etc. The various parameters of the engine can be detected and analyzed by the diagnostic device, such as engine speed, intake volume, fuel injection volume, ignition timing, etc. The diagnostic device can communicate with the vehicle's body stability system to obtain the working status information, sensor data and related fault codes of the body stability system. The body stability system includes multiple sensors, such as a yaw angular velocity sensor, a lateral acceleration sensor, etc., and the data of these sensors can be read and analyzed by the diagnostic device. After a vehicle collision, if the diagnostic equipment detects abnormal data from the yaw rate sensor of the body stability system or related fault codes, this may indicate that the vehicle's body structure has been deformed in the collision, affecting the installation position or signal transmission of the body stability system sensor, thereby assisting in determining the extent of damage to the vehicle body.

[0043] Thus, the accident level of the vehicle collision accident can be determined based on the accident data and the fault code data. The accident level is used to reflect the severity of the vehicle collision accident, and the accident level can be divided into four levels: minor, general, serious and major. The preset first level is used to judge the severity of the vehicle collision accident. When the accident level is lower than the preset first level, it means that the severity of the vehicle collision accident is low. At this time, the accident scene can be kept, or the traffic congestion of the road where the accident occurred can be used to determine whether the target vehicle has a displacement demand, and whether the target vehicle needs to be displaced according to the displacement demand. When the target vehicle has a displacement demand, a first displacement guidance scheme is generated, and the target vehicle is guided to displace to the first target position corresponding to the first displacement guidance scheme according to the first displacement guidance scheme. When generating the first displacement guidance scheme, according to the specific situation of the accident scene, a suitable displacement target position is determined, such as a roadside parking space, an open area or a nearby parking lot. If the accident occurs on a city road, the vehicle can be moved to the nearest roadside parking space. If a minor accident occurs on a highway, the vehicle can be moved to an emergency parking strip.

[0044] In the embodiment of the present application, the accident data reflects the accident situation, and the fault code data reflects the fault situation of the internal components of the target vehicle, so that the property damage and personal injury of the vehicle collision accident can be determined, and then the accident level of the vehicle collision accident can be quickly and accurately determined, and the decision basis for the subsequent displacement decision can be provided. When there is a displacement demand, by timely displacing the target vehicle, the target vehicle can be prevented from staying on the road for a long time, which can effectively reduce traffic congestion and improve road traffic efficiency. Especially in busy traffic sections, timely displacement can avoid subsequent vehicles queuing and waiting, and reduce traffic pressure. The target vehicle is moved to a safe position through a displacement guidance scheme, which can reduce the risk of secondary accidents. By generating a detailed displacement guidance scheme and guiding it, the safety of the accident vehicle during the displacement process can be ensured. The operating steps and precautions in the guidance scheme can help the driver to operate the vehicle correctly, avoiding further damage to the vehicle or secondary accidents caused by improper operation.

[0045] Optionally, step S101, obtaining accident data when a vehicle collision accident occurs to a target vehicle, may include the following steps:

[0046] Step S201: Acquire vehicle driving data of a target vehicle, where the vehicle driving data is used to reflect the driving speed and driving path of the target vehicle;

[0047] Step S202: Determine the credibility of vehicle driving data;

[0048] Step S203: judging the vehicle state of the target vehicle based on the vehicle driving data and the credibility, where the vehicle state includes a normal driving state and an accident occurrence state;

[0049] Step S204: when the vehicle state of the target vehicle is an accident state, determining the time period of the accident based on the vehicle driving data;

[0050] Step S205: Acquire vehicle image data within the time period when the accident occurred;

[0051] Step S206: The vehicle image data and the vehicle driving data within the time period when the accident occurred are used as accident data.

[0052] In a possible embodiment, the vehicle driving data is used to reflect the driving speed and driving path of the target vehicle. The vehicle driving data of the target vehicle can be obtained through the on-board computer system and on-board sensors equipped by the target vehicle. The vehicle driving data may include the vehicle's driving speed, mileage, engine speed, accelerator pedal position, brake pedal position, etc. The driving path information of the target vehicle can be obtained through the positioning system. The driving path information includes the location coordinates, driving direction, driving speed and other data of the target vehicle. The key data of the target vehicle before and after the accident can be obtained through the event data recorder, including the vehicle's driving speed, acceleration, braking status, airbag deployment time, etc.

[0053] In a possible embodiment, there may be error data in the vehicle driving data that deviates from the actual situation due to special weather conditions, complex road conditions or unstable vehicle driving state. For example, under severe weather conditions such as heavy rain, fog, and snow, the refraction and scattering of light and the attenuation of suspended particles in the air on some sensor signals of the target vehicle will affect the credibility of the vehicle driving data. When the target vehicle is driving in a road construction area, there are temporary obstacles or in an area with strong light and shadow interlacing, these complex road conditions may affect the credibility of the vehicle driving data. When the target vehicle accelerates, brakes suddenly or drives on a rough road, the posture and speed of the vehicle will change dramatically. This unstable driving state may affect the credibility of the vehicle driving data. Therefore, after obtaining the vehicle driving data of the target vehicle, the credibility of the vehicle driving data is determined, and the vehicle state of the target vehicle is judged based on the vehicle driving data and the credibility, and the vehicle driving data with a credibility higher than the preset credibility threshold is used to judge the vehicle state of the target vehicle. When determining the credibility of the vehicle driving data, the data source is verified and the consistency of the data is tested to determine whether the data is reasonable, and the vehicle driving data from different sources are compared for consistency. For example, the speed data obtained by the on-board diagnostic system is compared with the speed data obtained by the positioning system. If the difference between the two is large, the accuracy of the data needs to be further determined. The data of different time periods can also be compared to see if there are abnormal fluctuations, such as sudden changes in speed or unreasonable driving paths. The vehicle driving data can be analyzed to see if it is reasonable based on factors such as the vehicle model, performance and road conditions. For example, the maximum speed of an ordinary car on a highway generally does not exceed its designed maximum speed. If the driving data shows that the vehicle speed exceeds a reasonable range, then the credibility of the data is low.

[0054] In a possible embodiment, the vehicle state includes a normal driving state and an accident state. The vehicle state of the target vehicle is judged based on the vehicle driving data and credibility. If the vehicle driving data shows that the speed of the vehicle fluctuates within a reasonable range, the driving path is stable, there is no sudden acceleration, deceleration or lane change behavior, and the data credibility is high, then it can be judged that the vehicle is in a normal driving state. If the vehicle driving data is abnormal, such as a sudden drop in speed, a sharp change in acceleration, the brake pedal is stepped on for a long time, etc., and a comprehensive judgment is made in combination with the credibility of the data, it may indicate that the vehicle is in an accident state. For example, the speed of the vehicle drops from the normal driving speed to zero in a short period of time, or the acceleration has a large negative value, which may be a sign of a collision or sudden braking of the vehicle. In addition, if the event data recorder shows that the airbag is deployed, it can also be used as a basis for judging whether the vehicle has an accident. For example, the driving trajectory of the target vehicle is obtained through the vehicle driving data. During the normal straight driving process of the target vehicle according to the driving trajectory, if the target vehicle is obtained to suddenly deviate to the left or right, it may be caused by a collision of a certain part of the target vehicle, then the vehicle state of the target vehicle can be judged as an accident state. Alternatively, the target vehicle's driving speed can be obtained through vehicle driving data. If the target vehicle's speed suddenly drops significantly while driving, and the driver does not brake, or the target vehicle's speed is detected to fluctuate abnormally, this may be due to the impact of the power system or transmission system after the vehicle collides. In this case, the target vehicle's vehicle state can be determined to be an accident state. In addition, the target vehicle's driving sound data during driving can be obtained through vehicle driving data. If the driving sound data is a collision sound, the target vehicle's vehicle state can be determined to be an accident state. The target vehicle's driving trajectory, driving speed, and driving sound data during driving can also be comprehensively analyzed to determine whether the target vehicle's vehicle state is an accident state.

[0055] In a possible embodiment, for acceleration data, the acceleration change of the vehicle during normal driving is relatively stable, mainly due to small changes caused by acceleration, deceleration and road undulations, etc., while at the moment of a collision accident, a sharp acceleration change may be obtained, which may be an instantaneous positive or negative acceleration peak. If the acceleration sensor of the vehicle detects an instantaneous high-amplitude acceleration change that exceeds the normal driving range and lasts for a short time, then the target vehicle may have a collision accident. For speed data, the change of vehicle speed during normal driving is usually relatively smooth, and the speed is gradually changed by the driver's operation of the accelerator pedal and the brake pedal. When a collision occurs, the speed of the vehicle will suddenly change significantly, which may be a sharp drop or a change in speed vector caused by an instantaneous change in direction. If the speed data of the monitored vehicle drops significantly in a very short time, then a collision accident may occur, or if the speed direction of the vehicle suddenly changes, such as from straight driving to rotation or lateral movement, it may also be caused by the collision causing the vehicle to lose control.

[0056] In a possible embodiment, the vehicle driving data is analyzed to determine the time point when the data is abnormal, for example, by changing the speed curve, the time point when the speed suddenly drops is determined, or by analyzing the acceleration data, the time point when the acceleration changes sharply is determined. According to the change and credibility of the data, the possible time period of the accident is determined, and this time period can start from the time before the data is abnormal and end when the data is stable.

[0057] In a possible embodiment, the vehicle image data and the vehicle driving data are integrated into accident data, and the vehicle image data and the vehicle driving data can be synchronized in time to ensure the temporal consistency of the two.

[0058] In the embodiment of the present application, the accuracy and reliability of the data can be ensured by determining the credibility of the vehicle driving data, avoiding erroneous analysis and judgment of the vehicle status of the target vehicle due to data errors. The vehicle driving data can provide quantitative information such as the speed and acceleration of the vehicle, while the vehicle image data can intuitively display the process and on-site conditions of the accident. Combining the vehicle image data and the vehicle driving data as accident data can more comprehensively determine the occurrence of the accident.

[0059] Optionally, the vehicle image data includes: first vehicle image data taken by a satellite and second vehicle image data taken by a driving recorder; Step S103, determining the accident level of the vehicle collision accident based on the accident data and the fault code data, may include the following steps:

[0060] Step S301: acquiring the vehicle appearance damage degree of the target vehicle based on the first vehicle image data;

[0061] Step S302: determining a first vehicle damage score based on the degree of damage to the vehicle appearance;

[0062] Step S303: obtaining the degree of vehicle function damage of the target vehicle based on the fault code data;

[0063] Step S304: determining a second vehicle damage score based on the degree of damage to the vehicle function;

[0064] Step S305: Acquire the degree of personal injury in the vehicle collision accident based on the first vehicle image data and the second vehicle image data;

[0065] Step S306: determining a personnel injury score based on the degree of personnel injury;

[0066] Step S307: determining an additional property damage score based on the first vehicle image data, the second vehicle image data, and the vehicle driving data within the time period of the accident;

[0067] Step S308: Determine the accident level of the vehicle collision accident based on the first vehicle damage score, the second vehicle damage score, the personal damage score, and the additional property damage score.

[0068] In a possible embodiment, the accident level is mainly determined by the degree of property damage and the degree of personal injury, and the degree of damage to the vehicle appearance, as a component of the degree of property damage, is one of the important factors in determining the accident level. Image analysis is performed based on the first vehicle image data to obtain the degree of damage to the vehicle appearance of the target vehicle, and the degree of damage to the vehicle appearance is compared with the preset damage level standard. The degree of damage can be divided into different levels such as slight, medium, and severe according to factors such as the type, area, and depth of damage. A scoring standard based on the degree of damage to the vehicle appearance can be established, and different scores can be determined according to factors such as the type, degree, and area of ​​damage. During the scoring process, adjustments and corrections can be made according to actual conditions. For example, if factors such as the brand, model, and value of the vehicle have a greater impact on the appearance damage, the scoring standard can be adjusted. Through the first vehicle damage score, the degree of damage to the vehicle appearance can be quantified into a specific score, and the severity of the damage to the vehicle appearance can be more intuitively understood.

[0069] In a possible embodiment, the damage degree of the power system function, brake system function and steering system function of the target vehicle is determined through the fault code data, and a scoring standard based on the damage degree of the vehicle function is established, and different scores can be determined according to factors such as the type and degree of damage and the impact on vehicle performance. The second vehicle damage score quantifies the damage degree of the vehicle function into a specific score, which is combined with the first vehicle damage score to more comprehensively reflect the overall damage of the vehicle.

[0070] In a possible embodiment, whether there are relevant persons in the first vehicle image data and the second vehicle image data, the injury degree of the relevant persons is determined by the position and posture of the relevant persons, and a scoring standard based on the injury degree of the persons is established. Different scores can be assigned according to factors such as the type and severity of the injury, and the impact on the life safety of the persons. If there are no relevant persons in the first vehicle image data and the second vehicle image data, the injury score of the persons is 0. The injury degree of the persons can be quantified into a specific score through the injury score of the persons, so as to facilitate comprehensive evaluation in combination with the vehicle injury score.

[0071] In a possible embodiment, the property damage around the accident scene in the first vehicle image data and the second vehicle image data is determined, including whether there is damage to roadside traffic facilities, buildings, other vehicles, etc., and the type, degree and amount of property damage are determined. Combined with the vehicle driving data during the time period of the accident, the impact of the accident on the additional property damage is analyzed. For example, if the driving data shows that the vehicle was at a high speed before the accident, it may cause a greater impact force, resulting in more serious property damage. Based on the property damage and the analysis results of the driving data, an additional property damage score is determined, and a scoring standard for the additional property score is established, and different scores are assigned according to factors such as the type, degree, and value of the property damage. The additional property damage score can be used to determine the impact of the accident on other property other than vehicles and personnel, and to more comprehensively evaluate the severity of the accident.

[0072] In a possible embodiment, the various contents in the accident data are compared with the individual indicators in the accident grade classification standard. On the basis of the individual comparison, the first vehicle damage score, the second vehicle damage score, the personal damage score and the additional property damage score are comprehensively calculated. The weighted average method can be used to determine different weights according to the importance of different factors. For example, vehicle damage and personal damage may be relatively more important, and a higher weight can be set, while the weight of additional property damage can be relatively low. By integrating multiple factors such as vehicle damage, personal damage and additional property damage, and performing quantitative scoring, the accident grade of the vehicle collision accident can be determined more accurately, avoiding the one-sidedness and inaccuracy that may be caused by a single factor evaluation.

[0073] Optionally, in step S104, determining whether the target vehicle has a need to move may include the following steps:

[0074] Step S401: determining the lane where the vehicle collision occurred and the location where the accident occurred;

[0075] Step S402: determining the first traffic flow and the second traffic flow of the target vehicle at the current moment on the first reference line and the second reference line respectively; the first reference line is perpendicular to the lane where the accident occurred and the distance between the first reference line and the target vehicle is the first distance; the second reference line is perpendicular to the lane where the accident occurred and the distance between the second reference line and the target vehicle is the second distance;

[0076] Step S403: obtaining a first relative position relationship between the target vehicle and the lane where the accident occurred, the first relative position relationship being used to reflect the degree of obstruction to the waiting vehicle; the waiting vehicle is in the same direction as the lane where the accident occurred, is located behind the target vehicle, and the distance between the waiting vehicle and the target vehicle is less than a preset distance;

[0077] Step S404: Determine whether the target vehicle has a need to move based on the first vehicle flow, the second vehicle flow, the accident location and the first relative position relationship.

[0078] In a possible embodiment, the location of the accident is determined by a positioning system, and the lane where the accident occurred is determined by the relative position of the target vehicle and the lane marking, the position of the wheels, and the traffic signs around the vehicle. The first reference line is perpendicular to the lane where the accident occurred, and the distance between it and the target vehicle is the first distance. The second reference line is perpendicular to the lane where the accident occurred, and the distance between it and the target vehicle is the second distance. The first distance and the second distance can be set according to the actual conditions of the lane length and lane width of the lane where the accident occurred. The traffic volume is related to time factors and location factors. By determining the first traffic volume and the second traffic volume, the traffic conditions around the accident scene can be quantified. Different traffic volumes reflect different levels of traffic congestion. The range of waiting vehicles is determined. The waiting vehicles are vehicles that are in the same direction as the lane where the accident occurred, are located behind the target vehicle, and the distance between them and the target vehicle is less than a preset distance. The preset distance can be set according to the actual situation. The number, position, and driving status of the waiting vehicles are determined, and it is judged whether there are waiting vehicles blocked by the target vehicle. The first relative position relationship between the target vehicle and the lane where the accident occurred is determined according to the position and posture of the target vehicle in the lane where the accident occurred, so as to determine whether the target vehicle blocks the waiting vehicles. The degree of obstruction can be divided into several levels, such as slight obstruction, medium obstruction, severe obstruction, etc. For example, if there are only a small number of waiting vehicles, and the first position relationship provides enough travel distance for them to slowly bypass the target vehicle, then the degree of obstruction of the waiting vehicles by the target vehicle can be determined to be slight obstruction. If there are more waiting vehicles, and they cannot bypass and can only wait for the target vehicle to move away, then the degree of obstruction of the waiting vehicles by the target vehicle can be determined to be severe obstruction. Obtaining the first relative position relationship between the target vehicle and the lane where the accident occurred can accurately assess the impact of the target vehicle on traffic. Different degrees of obstruction have different impacts on traffic. Severe obstruction may cause complete traffic jams, while slight obstruction may only cause a certain degree of traffic delays.

[0079] In a possible embodiment, factors such as the first traffic volume, the second traffic volume, the location of the accident, and the first relative position relationship are comprehensively analyzed to determine the degree of influence of each factor on the displacement demand, and different weights are determined according to actual conditions. For example, the greater the traffic volume, the more important the location of the accident, and the greater the degree of obstruction to waiting vehicles, the higher the displacement demand of the target vehicle. According to the results of the comprehensive analysis, the standard for judging whether the target vehicle has a displacement demand is determined, and the displacement demand can be divided into several levels, such as a strong need for displacement, no need for displacement, etc. For example, if the first traffic volume and the second traffic volume are both large, the accident occurs on the main road, and the degree of obstruction of the target vehicle to the waiting vehicle is severe, then it can be judged that the target vehicle strongly needs to be displaced. If the traffic volume is small, the accident occurs on the branch road, and the degree of obstruction to the waiting vehicle is slight, then it can be judged that the target vehicle does not need to be displaced.

[0080] Optionally, step S404, determining whether the target vehicle has a need to be moved based on the first vehicle flow, the second vehicle flow, the accident location, and the first relative position relationship, may include the following steps:

[0081] Step S501: obtaining a reference congestion value at the current moment of the accident occurrence location;

[0082] Step S502: determining a first congestion value corresponding to a first vehicle flow;

[0083] Step S503: determining a second congestion value corresponding to a second vehicle flow rate;

[0084] Step S504: determining a target weight pair corresponding to the first relative position relationship, the target weight pair comprising a first weight and a second weight, the sum of the first weight and the second weight being 1, the first weight corresponding to the first vehicle flow, and the second weight corresponding to the second vehicle flow;

[0085] Step S505: determining a current congestion value according to the first congestion value, the second congestion value and the target weight;

[0086] Step S506: when the current congestion value is greater than the reference congestion value, it is determined that the target vehicle has a need to move;

[0087] Step S507: When the current congestion value is less than or equal to the reference congestion value, it is determined that there is no displacement demand for the target vehicle.

[0088] In a possible embodiment, the historical traffic congestion data of the lane where the accident occurred is obtained, and the reference congestion value of the current moment of the accident location is determined based on the historical traffic congestion data. The historical traffic congestion data includes the traffic volume, average driving speed, congestion index and other information of the lane in different time periods. The reference congestion value is used to determine whether the target vehicle needs to be displaced. By comparing the current congestion value with the reference congestion value, the impact of the accident on traffic can be determined, so as to determine whether the target vehicle needs to be displaced. For example, if the current congestion value is much higher than the reference congestion value, it means that the traffic congestion caused by the accident is more serious than usual, and the target vehicle may need to be displaced to relieve traffic pressure. The traffic normality of the accident location is determined by the reference congestion value. The traffic congestion conditions of different sections in different time periods are different. Some sections may be often congested, while some sections are relatively unobstructed. The reference congestion value can be used to distinguish between additional congestion caused by the accident and normal traffic congestion.

[0089] In a possible embodiment, a relationship model between vehicle flow and congestion value is established based on historical traffic data to predict the corresponding congestion value based on the vehicle flow data. According to the first relative position relationship between the target vehicle and the lane where the accident occurred, the influence of the target vehicle on the first vehicle flow and the second vehicle flow is analyzed. The target weight pair can determine the different importance of the first vehicle flow and the second vehicle flow in determining the current congestion value.

[0090] In the embodiment of the present application, the traffic congestion situation at the accident scene can be more comprehensively evaluated through multiple factors such as the current congestion value, the first vehicle flow, the second vehicle flow, and the relative position relationship between the target vehicle and the waiting vehicles.

[0091] Optionally, in step S105, generating a first shift guidance scheme may include the following steps:

[0092] Step S601: determining a moving distance range corresponding to the target vehicle according to the displacement requirement;

[0093] Step S602: determining a candidate shift region based on the moving distance range;

[0094] Step S603: Obtain obstacle information between the target vehicle and the candidate displacement area at the current moment;

[0095] Step S604: determining a first target position in the candidate displacement area based on the obstacle information;

[0096] Step S605: acquiring a second relative position relationship between the target vehicle and the collision object, where the second relative position relationship is used to reflect the collision posture of the vehicle collision accident;

[0097] Step S606: determining a displacement path based on the obstacle information, the first target position, the current position of the target vehicle and the second relative position relationship;

[0098] Step S607: Acquire the current steering wheel angle and the current body angle of the target vehicle;

[0099] Step S608: determining a target steering wheel angle and a target shift direction based on the shift path, the current steering wheel angle and the current vehicle body angle;

[0100] Step S609: determining a first displacement guidance scheme based on the target steering wheel angle, the target displacement direction and the first target position.

[0101] In a possible embodiment, based on the result of determining whether the target vehicle has a need for displacement, the degree of displacement demand is further analyzed. If the target vehicle has a strong need for displacement, a larger moving distance range may be required. If the displacement demand is relatively weak, the moving distance range may be appropriately narrowed. The moving distance range is determined in combination with the traffic conditions and lane conditions at the location of the accident. For example, if the accident occurs on a busy main road, the target vehicle may need to be moved to a farther safe area to avoid causing greater impact on traffic. If the lane is narrow or there are many obstacles, the moving distance range may be limited. Based on the above factors, the moving distance range corresponding to the target vehicle is determined. The moving distance range can be expressed with a certain radius or distance interval with the current position of the target vehicle as the center. For example, the moving distance range of the target vehicle is determined to be 50 meters to 100 meters.

[0102] In a possible embodiment, obstacles may include other vehicles, traffic facilities, buildings, trees, etc. As time goes by and the situation changes, the obstacle information may change. Obtaining the obstacle information between the target vehicle and the candidate displacement area at the current moment ensures that the obstacle information is real-time when determining the displacement path and performing the displacement operation. Obtaining the obstacle information can assist in planning a safe displacement path, avoid the target vehicle from colliding with obstacles during the displacement process, ensure the smooth progress of the displacement process, and reduce the risk of injury to vehicles and personnel.

[0103] In a possible embodiment, the displacement guidance scheme is determined in combination with the environmental factors of the accident site and the performance and characteristics of the vehicle. The environmental factors of the accident site include lane conditions, which include factors that affect the difficulty and safety of vehicle displacement, such as lane width, slope, curves, and road conditions. The vehicle performance and characteristics include vehicle type, driving mode, and steering system conditions. For example, if the vehicle steering wheel is difficult to turn, the steering wheel turning angle in the corresponding displacement guidance scheme should be smaller to avoid sharp turns. The first target position is determined according to the size, turning radius, and entry angle of the target vehicle to ensure that the target vehicle can smoothly reach the position.

[0104] In a possible embodiment, an initial displacement path is planned in combination with the current position of the target vehicle, the first target position and the obstacle information, and the initial displacement path is adjusted according to the second relative position relationship between the target vehicle and the collision object. If the collision causes the vehicle to deform or some parts to be damaged, it may be necessary to select a specific displacement direction and angle to avoid causing greater damage to the vehicle. For example, if the front of the vehicle is severely damaged, reverse displacement may be required. The initial displacement path is optimized, and the target displacement path is determined based on factors such as the length of the path, the number of turns, and the slope.

[0105] In a possible embodiment, the target steering wheel angle and target shift direction are determined according to the shift path, and the steering wheel angle and shift direction corresponding to the vehicle at different positions are determined based on factors such as the turning radius, slope, and obstacle distribution of the path. The steering wheel angle and shift direction required to change from the current state to the target state are calculated in combination with the current steering wheel angle and body angle of the target vehicle, and then the target steering wheel angle and target shift direction are determined so that the target vehicle moves along the shift path to reach the first target position. In order to make the shift guidance scheme more intuitive and easy to understand, it can be displayed in a visual way, for example, drawing a shift path diagram, marking the target steering wheel angle and the first target position, or making an animation to demonstrate the shift process.

[0106] In the embodiment of the present application, the displacement path is determined based on the obstacle information, the first target position, the current position and the collision posture, which can ensure the safety of the target vehicle during the displacement process, avoid collision with obstacles, and reduce the risk of vehicle damage. The optimized displacement path can improve the efficiency of the displacement operation, reduce the displacement time and workload, and enable the target vehicle to reach the first target position quickly and smoothly. Based on the displacement path, the target steering wheel angle and the target displacement direction are determined, which can make the displacement operation more precise and controllable, so as to ensure that the vehicle moves along the predetermined path and improve the accuracy and safety of the displacement.

[0107] Optionally, the method may further include the following steps:

[0108] Step S701: Acquire accident reference data of a vehicle collision accident; when there is displacement, the accident reference data is the relevant data between the first moment before the accident and the moment when the target vehicle completes the displacement; when there is no displacement, the accident reference data is the relevant data between the first moment before the accident and the moment when the target vehicle collides; the relevant data includes the external image data, the internal operation data and the displacement data of the target vehicle;

[0109] Step S702: Determine valid data among the external image data, internal operation data and displacement data of the target vehicle, and the valid data is used for determining the liability of the vehicle collision accident.

[0110] In a possible embodiment, after a vehicle collision accident occurs, it is necessary to determine the responsibility for the accident based on the location of the collision marks and scattered objects. When there is displacement, the accident reference data is the relevant data from the first moment before the accident to the moment when the target vehicle completes the displacement. When there is no displacement, the accident reference data is the relevant data from the first moment before the accident to the moment when the target vehicle collides. The relevant data includes the external image data, the internal operation data and the displacement data of the target vehicle. The internal operation data can be obtained through the vehicle's sensors and data recording system. During the displacement of the target vehicle, the relevant displacement data is obtained. The displacement data includes the start time, end time, distance and direction of the displacement, whether obstacles are encountered, etc. In the case of displacement, the relevant data from before the accident to the completion of the displacement is obtained, so that the occurrence, development and subsequent processing of the accident can be fully obtained. In the case of no displacement, the focus is on the moment before the accident, so that the direct cause of the accident can be determined more accurately.

[0111] In a possible embodiment, the parts related to the accident responsibility determination are screened out from the external image data, such as the picture at the moment of collision, the driving trajectory of the vehicle before the accident, whether there are any violations by other vehicles, etc. The in-vehicle operation data is analyzed, for example, whether the brakes are timely, whether the steering wheel is operated correctly, whether there is overspeeding or fatigue driving, etc. The in-vehicle operation data can be compared with the external image data to verify whether the driver's operation is reasonable. If there is displacement data, its impact on the responsibility determination is evaluated, for example, whether the displacement complies with safety regulations, whether the displacement is carried out when necessary, whether further losses are caused during the displacement process, etc. The external image data, the in-vehicle operation data and the displacement data are integrated to determine the valid data, that is, the data that has a direct effect on the responsibility determination of the vehicle collision accident, and the valid data can be sorted and classified for subsequent analysis and use.

[0112] In the embodiment of the present application, by screening and determining valid data, interference from irrelevant information can be eliminated and the accuracy of responsibility determination can be improved.

[0113] Optionally, the method may further include the following steps:

[0114] Step S801: when the accident level is higher than or equal to a preset first level, obtaining road data of the road where the accident occurred;

[0115] Step S802: determining the road grade of the road where the accident occurred based on the road data;

[0116] Step S803: when the road grade is higher than the preset second grade, determining whether the shifting function of the target vehicle is normal according to the fault code data;

[0117] Step S804: when the displacement function of the target vehicle is normal, a second displacement guidance scheme is generated to enable the target vehicle to be displaced to a second target position corresponding to the second displacement guidance scheme.

[0118] In a possible embodiment, when the accident level is higher than or equal to a preset first level, it indicates that the severity of the vehicle collision accident is high and the scene should be maintained at this time. However, if the road level of the road where the accident occurred is higher than a preset second level, it indicates that the road danger level of the accident occurred is high and a secondary accident may occur at this time. Then, it is determined based on the fault code data whether the shifting function of the target vehicle is normal. When the shifting function of the target vehicle is normal, a second shifting guidance scheme is generated to shift the target vehicle to the second target position corresponding to the second shifting guidance scheme to avoid causing greater casualties and property losses.

[0119] In a possible embodiment, power system related fault codes such as engine fault codes and transmission fault codes, electronic control system fault codes such as electronic stability system fault codes and body control system fault codes, and brake system fault codes such as brake line and pressure fault codes and anti-lock braking system fault codes are obtained from the fault code data to determine whether the shifting function of the target vehicle is normal.

[0120] In the embodiment of the present application, a vehicle displacement processing step is provided when the accident level is higher than or equal to a preset first level, which can avoid the occurrence of a secondary accident.

[0121] In summary, in the implementation of the present application, the accident data of the target vehicle when the vehicle collision accident occurs is first obtained, and the accident data is used to reflect the accident situation of the vehicle collision accident, and the fault code data of the target vehicle is obtained, and the fault code data is used to reflect the fault situation of the internal components of the target vehicle, and then the accident level of the vehicle collision accident is determined based on the accident data and the fault code data, and the accident level is used to reflect the severity of the vehicle collision accident. When the accident level is lower than the preset first level, it is determined whether the target vehicle has a displacement demand. When the target vehicle has a displacement demand, a first displacement guidance scheme is generated, and the target vehicle is guided to shift to the first target position corresponding to the first displacement guidance scheme according to the first displacement guidance scheme. Thus, firstly, by determining the accident level of the vehicle collision accident, it is possible to quickly determine whether the current vehicle collision accident is a small accident, and secondly determine whether the current accident vehicle has a displacement demand, and finally guide the vehicle to quickly shift when there is a displacement demand, thereby improving the transportation efficiency of the road where the accident occurred.

[0122] The method of the embodiment of the present invention is described in detail above, and the device of the embodiment of the present invention is provided below.

[0123] See also Figure 3 , Figure 3 1 is a schematic diagram of a displacement guidance device after a vehicle collision accident provided in an embodiment of the present application. The displacement guidance device 900 after a vehicle collision accident is applied to a diagnostic device, and the displacement guidance device 900 after a vehicle collision accident includes an acquisition unit 901 and a processing unit 902;

[0124] An acquisition unit 901 is used to acquire accident data when a vehicle collision accident occurs to a target vehicle, and the accident data is used to reflect the accident situation of the vehicle collision accident;

[0125] Obtaining fault code data of the target vehicle, where the fault code data is used to reflect the fault condition of the internal components of the target vehicle;

[0126] A processing unit 902 is used to determine the accident level of the vehicle collision accident based on the accident data and the fault code data, where the accident level is used to reflect the severity of the vehicle collision accident;

[0127] When the accident level is lower than a preset first level, determining whether the target vehicle needs to be relocated;

[0128] When the target vehicle has a displacement requirement, a first displacement guidance scheme is generated, and the target vehicle is guided to be displaced to a first target position corresponding to the first displacement guidance scheme according to the first displacement guidance scheme.

[0129] In a possible embodiment, in acquiring accident data when a vehicle collision accident occurs to a target vehicle, the acquiring unit 901 is specifically configured to:

[0130] Acquire vehicle driving data of the target vehicle, where the vehicle driving data is used to reflect the driving speed and driving path of the target vehicle;

[0131] Determine the credibility of vehicle driving data;

[0132] Determine the vehicle state of the target vehicle based on vehicle driving data and credibility, the vehicle state includes normal driving state and accident occurrence state;

[0133] When the vehicle state of the target vehicle is an accident occurrence state, determining the accident occurrence time period based on the vehicle driving data;

[0134] Obtain vehicle image data within the time period of the accident;

[0135] The vehicle image data and the vehicle driving data within the time period when the accident occurred are used as accident data.

[0136] In a possible embodiment, the vehicle image data includes: first vehicle image data taken by a satellite and second vehicle image data taken by a driving recorder. In determining the accident level of the vehicle collision accident based on the accident data and the fault code data, the processing unit 902 is specifically configured to:

[0137] Acquire a vehicle appearance damage degree of the target vehicle based on the first vehicle image data;

[0138] Determining a first vehicle damage score based on the degree of damage to the exterior of the vehicle;

[0139] Obtaining the degree of vehicle function damage of the target vehicle based on the fault code data;

[0140] determining a second vehicle damage score based on the degree of functional damage to the vehicle;

[0141] Acquire the degree of personal injury in the vehicle collision accident based on the first vehicle image data and the second vehicle image data;

[0142] Determining a personnel impairment score based on the degree of personnel impairment;

[0143] Determining an additional property damage score based on the first vehicle image data, the second vehicle image data, and the vehicle driving data during the time period when the accident occurred;

[0144] An accident level of the vehicle collision accident is determined based on the first vehicle damage score, the second vehicle damage score, the personal injury score, and the additional property damage score.

[0145] In a possible embodiment, in determining whether the target vehicle has a displacement requirement, the processing unit 902 is specifically configured to:

[0146] Determine the lane and location of the accident corresponding to the vehicle collision accident;

[0147] Determine the first traffic flow and the second traffic flow of the target vehicle at the current moment on the first reference line and the second reference line respectively; the first reference line is perpendicular to the lane where the accident occurred and the distance between the first reference line and the target vehicle is the first distance; the second reference line is perpendicular to the lane where the accident occurred and the distance between the second reference line and the target vehicle is the second distance;

[0148] Obtaining a first relative position relationship between the target vehicle and the lane where the accident occurred, the first relative position relationship being used to reflect the degree of obstruction to the waiting vehicle; the waiting vehicle is in the same direction as the lane where the accident occurred, is located behind the target vehicle, and the distance between the waiting vehicle and the target vehicle is less than a preset distance;

[0149] Based on the first vehicle flow, the second vehicle flow, the accident location and the first relative position relationship, it is determined whether the target vehicle needs to be displaced.

[0150] In a possible embodiment, in determining whether the target vehicle has a displacement requirement based on the first vehicle flow, the second vehicle flow, the accident location, and the first relative position relationship, the processing unit 902 is specifically configured to:

[0151] Obtain the reference congestion value at the current moment of the accident location;

[0152] determining a first congestion value corresponding to a first vehicle flow rate;

[0153] determining a second congestion value corresponding to the second vehicle flow;

[0154] Determine a target weight pair corresponding to the first relative position relationship, the target weight pair includes a first weight and a second weight, the sum of the first weight and the second weight is 1, the first weight corresponds to the first vehicle flow, and the second weight corresponds to the second vehicle flow;

[0155] Determine a current congestion value according to the first congestion value, the second congestion value and the target weight;

[0156] When the current congestion value is greater than the reference congestion value, it is determined that the target vehicle has a need to be displaced;

[0157] When the current congestion value is less than or equal to the reference congestion value, it is determined that there is no displacement demand for the target vehicle.

[0158] In a possible embodiment, in terms of generating the first shift guidance scheme, the processing unit 902 is specifically configured to:

[0159] Determine the moving distance range corresponding to the target vehicle according to the displacement requirements;

[0160] Determine a candidate shift region based on the shift distance range;

[0161] Obtain obstacle information between the target vehicle and the candidate displacement area at the current moment;

[0162] determining a first target position in the candidate shift area based on the obstacle information;

[0163] Acquiring a second relative position relationship between the target vehicle and the collision object, the second relative position relationship being used to reflect a collision posture of a vehicle collision accident;

[0164] determining a displacement path based on the obstacle information, the first target position, the current position of the target vehicle, and the second relative position relationship;

[0165] Get the current steering wheel angle and current body angle of the target vehicle;

[0166] determining a target steering wheel angle and a target shift direction based on the shift path, the current steering wheel angle, and the current vehicle body angle;

[0167] A first displacement guidance scheme is determined based on the target steering wheel angle, the target displacement direction and the first target position.

[0168] In a possible embodiment, the processing unit 902 is further configured to:

[0169] Obtain accident reference data of the vehicle collision accident; when there is displacement, the accident reference data is the relevant data between the first moment before the vehicle collision accident and the moment when the target vehicle completes the displacement; when there is no displacement, the accident reference data is the relevant data between the first moment before the vehicle collision accident and the moment when the target vehicle collides; the relevant data includes the external image data, the internal operation data and the displacement data of the target vehicle;

[0170] Determine valid data among the target vehicle's exterior image data, interior operation data, and displacement data, and use the valid data to determine liability for vehicle collision accidents.

[0171] In a possible embodiment, the processing unit 902 is further configured to:

[0172] When the accident level is higher than or equal to a preset first level, obtaining road data of the road where the accident occurred;

[0173] Determining the road grade of the road where the accident occurred based on the road data;

[0174] When the road grade is higher than a preset second grade, determining whether the shifting function of the target vehicle is normal according to the fault code data;

[0175] When the displacement function of the target vehicle is normal, a second displacement guidance scheme is generated to enable the target vehicle to be displaced to a second target position corresponding to the second displacement guidance scheme.

[0176] See also Figure 4 , Figure 4 Schematic diagram of the structure of a diagnostic device provided in an embodiment of the present application. Figure 4 As shown, the diagnostic device 1000 includes a transceiver 1001, a processor 1002 and a memory 1003, which are connected via a bus 1004. The memory 1003 is used to store computer programs and data, and can transmit the data stored in the memory 1003 to the processor 1002. The diagnostic device can be the above-mentioned displacement guidance device after a vehicle collision accident, and the processor 1002 can be the above-mentioned acquisition unit 901 and processing unit 902.

[0177] The processor 1002 is used to read the computer program in the memory 1003 and perform the following operations:

[0178] Acquire accident data when a vehicle collision accident occurs to a target vehicle, the accident data is used to reflect the accident situation of the vehicle collision accident;

[0179] Obtaining fault code data of the target vehicle, where the fault code data is used to reflect the fault condition of the internal components of the target vehicle;

[0180] Determine the accident level of the vehicle collision accident based on the accident data and the fault code data, and the accident level is used to reflect the severity of the vehicle collision accident;

[0181] When the accident level is lower than a preset first level, determining whether the target vehicle needs to be relocated;

[0182] When the target vehicle has a displacement requirement, a first displacement guidance scheme is generated, and the target vehicle is guided to be displaced to a first target position corresponding to the first displacement guidance scheme according to the first displacement guidance scheme.

[0183] In a possible embodiment, in terms of acquiring accident data when a vehicle collision accident occurs to a target vehicle, the processor 1002 is specifically configured to perform the following operations:

[0184] Acquire vehicle driving data of the target vehicle, where the vehicle driving data is used to reflect the driving speed and driving path of the target vehicle;

[0185] Determine the credibility of vehicle driving data;

[0186] Determine the vehicle state of the target vehicle based on vehicle driving data and credibility, the vehicle state includes normal driving state and accident occurrence state;

[0187] When the vehicle state of the target vehicle is an accident occurrence state, determining the accident occurrence time period based on the vehicle driving data;

[0188] Obtain vehicle image data within the time period of the accident;

[0189] The vehicle image data and the vehicle driving data within the time period when the accident occurred are used as accident data.

[0190] In a possible embodiment, the vehicle image data includes: first vehicle image data taken by a satellite and second vehicle image data taken by a driving recorder. In determining the accident level of the vehicle collision accident based on the accident data and the fault code data, the processor 1002 is specifically configured to perform the following operations:

[0191] Acquire a vehicle appearance damage degree of the target vehicle based on the first vehicle image data;

[0192] Determining a first vehicle damage score based on the degree of damage to the exterior of the vehicle;

[0193] Obtaining the degree of vehicle function damage of the target vehicle based on the fault code data;

[0194] determining a second vehicle damage score based on the degree of functional damage to the vehicle;

[0195] Acquire the degree of personal injury in the vehicle collision accident based on the first vehicle image data and the second vehicle image data;

[0196] Determining a personnel impairment score based on the degree of personnel impairment;

[0197] Determining an additional property damage score based on the first vehicle image data, the second vehicle image data, and the vehicle driving data during the time period when the accident occurred;

[0198] An accident level of the vehicle collision accident is determined based on the first vehicle damage score, the second vehicle damage score, the personal injury score, and the additional property damage score.

[0199] In a possible embodiment, in determining whether the target vehicle has a need to move, the processor 1002 is specifically configured to perform the following operations:

[0200] Determine the lane and location of the accident corresponding to the vehicle collision accident;

[0201] Determine the first traffic flow and the second traffic flow of the target vehicle at the current moment on the first reference line and the second reference line respectively; the first reference line is perpendicular to the lane where the accident occurred and the distance between the first reference line and the target vehicle is the first distance; the second reference line is perpendicular to the lane where the accident occurred and the distance between the second reference line and the target vehicle is the second distance;

[0202] Obtaining a first relative position relationship between the target vehicle and the lane where the accident occurred, the first relative position relationship being used to reflect the degree of obstruction to the waiting vehicle; the waiting vehicle is in the same direction as the lane where the accident occurred, is located behind the target vehicle, and the distance between the waiting vehicle and the target vehicle is less than a preset distance;

[0203] Based on the first vehicle flow, the second vehicle flow, the accident location and the first relative position relationship, it is determined whether the target vehicle needs to be displaced.

[0204] In a possible embodiment, in determining whether the target vehicle has a need to move based on the first vehicle flow, the second vehicle flow, the accident location, and the first relative position relationship, the processor 1002 is specifically configured to perform the following operations:

[0205] Obtain the reference congestion value at the current moment of the accident location;

[0206] determining a first congestion value corresponding to the first vehicle flow;

[0207] determining a second congestion value corresponding to the second vehicle flow;

[0208] Determine a target weight pair corresponding to the first relative position relationship, the target weight pair includes a first weight and a second weight, the sum of the first weight and the second weight is 1, the first weight corresponds to the first vehicle flow, and the second weight corresponds to the second vehicle flow;

[0209] Determine a current congestion value according to the first congestion value, the second congestion value and the target weight;

[0210] When the current congestion value is greater than the reference congestion value, it is determined that the target vehicle has a need to be displaced;

[0211] When the current congestion value is less than or equal to the reference congestion value, it is determined that there is no displacement demand for the target vehicle.

[0212] In a possible embodiment, in terms of generating the first shift guidance scheme, the processor 1002 is specifically configured to perform the following operations:

[0213] Determine the moving distance range corresponding to the target vehicle according to the displacement requirements;

[0214] Determine a candidate shift region based on the shift distance range;

[0215] Obtain obstacle information between the target vehicle and the candidate displacement area at the current moment;

[0216] determining a first target position in the candidate shift area based on the obstacle information;

[0217] Acquiring a second relative position relationship between the target vehicle and the collision object, the second relative position relationship being used to reflect a collision posture of a vehicle collision accident;

[0218] determining a displacement path based on the obstacle information, the first target position, the current position of the target vehicle, and the second relative position relationship;

[0219] Get the current steering wheel angle and current body angle of the target vehicle;

[0220] determining a target steering wheel angle and a target shift direction based on the shift path, the current steering wheel angle, and the current vehicle body angle;

[0221] A first displacement guidance scheme is determined based on the target steering wheel angle, the target displacement direction and the first target position.

[0222] In a possible embodiment, the processor 1002 is specifically configured to perform the following operations:

[0223] Obtain accident reference data of the vehicle collision accident; when there is displacement, the accident reference data is the relevant data between the first moment before the vehicle collision accident and the moment when the target vehicle completes the displacement; when there is no displacement, the accident reference data is the relevant data between the first moment before the vehicle collision accident and the moment when the target vehicle collides; the relevant data includes the external image data, the internal operation data and the displacement data of the target vehicle;

[0224] Determine valid data among the target vehicle's exterior image data, interior operation data, and displacement data, and use the valid data to determine liability for vehicle collision accidents.

[0225] In a possible embodiment, the processor 1002 is specifically configured to perform the following operations:

[0226] When the accident level is higher than or equal to a preset first level, obtaining road data of the road where the accident occurred;

[0227] Determining the road grade of the road where the accident occurred based on the road data;

[0228] When the road grade is higher than a preset second grade, determining whether the shifting function of the target vehicle is normal according to the fault code data;

[0229] When the displacement function of the target vehicle is normal, a second displacement guidance scheme is generated to enable the target vehicle to be displaced to a second target position corresponding to the second displacement guidance scheme.

[0230] An embodiment of the present application also provides a computer-readable storage medium, which stores a computer program. The computer program is executed by a processor to implement part or all of the steps of any method for implementing displacement guidance after a vehicle collision accident as recorded in the above method embodiments.

[0231] An embodiment of the present application also provides a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute part or all of the steps of any one of the displacement guidance methods after a vehicle collision accident recorded in the above method embodiments.

[0232] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present application.

[0233] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0234] In the several embodiments provided in the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the modules, which is only a logical function division. There may be other division methods in actual implementation, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the device or module can be electrical or other forms.

[0235] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0236] In addition, each functional module in each embodiment of the present application can be integrated into a processing module, or each module can exist physically separately, or two or more modules can be integrated into one module. The above integrated modules can be implemented in the form of hardware or software program modules.

[0237] If the integrated module is implemented in the form of a software program module and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned memory includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk and other media that can store program codes.

[0238] The embodiments of the present application are introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method and core idea of ​​the present application. At the same time, for general technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A displacement guidance method after a vehicle collision accident, It is characterized in that Applied to diagnostic equipment; the method comprises: Acquiring accident data when a vehicle collision accident occurs to a target vehicle, wherein the accident data is used to reflect the accident situation of the vehicle collision accident; Acquiring fault code data of the target vehicle, wherein the fault code data is used to reflect the fault condition of the internal components of the target vehicle; Determining an accident level of the vehicle collision accident based on the accident data and the fault code data, wherein the accident level is used to reflect the severity of the vehicle collision accident; When the accident level is lower than a preset first level, determining whether the target vehicle needs to be moved; When the target vehicle has the displacement requirement, a first displacement guidance scheme is generated, and the target vehicle is guided to be displaced to a first target position corresponding to the first displacement guidance scheme according to the first displacement guidance scheme.

2. The method according to claim 1, It is characterized in that The obtaining of accident data when a vehicle collision accident occurs to the target vehicle includes: Acquiring vehicle driving data of the target vehicle, wherein the vehicle driving data is used to reflect the driving speed and driving path of the target vehicle; Determining the credibility of the vehicle driving data; Determining a vehicle state of the target vehicle based on the vehicle driving data and the credibility, the vehicle state including a normal driving state and an accident occurrence state; When the vehicle state of the target vehicle is the accident occurrence state, determining the accident occurrence time period based on the vehicle driving data; Acquire vehicle image data within the time period when the accident occurred; The vehicle image data and the vehicle driving data within the time period when the accident occurs are used as the accident data.

3. The method according to claim 2, It is characterized in that The vehicle image data includes: first vehicle image data taken by a satellite and second vehicle image data taken by a driving recorder; the accident level of the vehicle collision accident determined based on the accident data and the fault code data includes: Acquire a degree of vehicle appearance damage of the target vehicle based on the first vehicle image data; Determining a first vehicle damage score based on the degree of damage to the vehicle appearance; Acquiring a degree of damage to a vehicle function of the target vehicle based on the fault code data; determining a second vehicle damage score based on the degree of damage to the vehicle function; Acquire the degree of personal injury in the vehicle collision accident based on the first vehicle image data and the second vehicle image data; Determining a personnel injury score based on the degree of personnel injury; Determining an additional property damage score based on the first vehicle image data, the second vehicle image data, and vehicle travel data during the accident time period; An accident level of the vehicle collision accident is determined based on the first vehicle damage score, the second vehicle damage score, the personal injury score, and the additional property damage score.

4. The method according to any one of claims 1 to 3, It is characterized in that The determining whether the target vehicle has a displacement requirement includes: Determine the lane where the accident occurred and the location where the accident occurred corresponding to the vehicle collision accident; Determine the first traffic flow and the second traffic flow of the target vehicle at the current moment on the first reference line and the second reference line respectively; the first reference line is perpendicular to the lane where the accident occurred and the distance between the first reference line and the target vehicle is the first distance; the second reference line is perpendicular to the lane where the accident occurred and the distance between the second reference line and the target vehicle is the second distance; Acquiring a first relative position relationship between the target vehicle and the lane where the accident occurred, the first relative position relationship being used to reflect the degree of obstruction to the waiting vehicle; the waiting vehicle is in the same direction as the lane where the accident occurred, is located behind the target vehicle, and the distance between the waiting vehicle and the target vehicle is less than a preset distance; Based on the first vehicle flow, the second vehicle flow, the accident location and the first relative position relationship, it is determined whether the target vehicle has the displacement requirement.

5. The method according to claim 4, It is characterized in that The determining whether the target vehicle has the displacement requirement based on the first vehicle flow, the second vehicle flow, the accident location and the first relative position relationship includes: Obtaining a reference congestion value of the accident occurrence location at the current moment; determining a first congestion value corresponding to the first vehicle flow; determining a second congestion value corresponding to the second vehicle flow; Determine a target weight pair corresponding to the first relative position relationship, the target weight pair comprising a first weight and a second weight, the sum of the first weight and the second weight is 1, the first weight corresponds to the first vehicle flow, and the second weight corresponds to the second vehicle flow; determining a current congestion value according to the first congestion value, the second congestion value and the target weight; When the current congestion value is greater than the reference congestion value, determining that the target vehicle has the displacement demand; When the current congestion value is less than or equal to the reference congestion value, it is determined that the target vehicle does not have the displacement demand.

6. The method according to claim 4, It is characterized in that The generating of the first shift guidance scheme comprises: Determine the moving distance range corresponding to the target vehicle according to the displacement requirement; Determining a candidate displacement region based on the displacement distance range; Obtaining obstacle information between the target vehicle and the candidate displacement area at the current moment; determining the first target position in the candidate displacement area based on the obstacle information; Acquiring a second relative position relationship between the target vehicle and the collision object, wherein the second relative position relationship is used to reflect the collision posture of the vehicle collision accident; determining a displacement path based on the obstacle information, the first target position, the current position of the target vehicle, and the second relative position relationship; Obtaining a current steering wheel angle and a current body angle of the target vehicle; determining a target steering wheel angle and a target shift direction based on the shift path, the current steering wheel angle and the current vehicle body angle; The first shift guidance scheme is determined based on the target steering wheel angle, the target shift direction, and the first target position.

7. The method according to claim 6, It is characterized in that The method further comprises: Acquire accident reference data of the vehicle collision accident; when there is displacement, the accident reference data is the relevant data between the first moment before the vehicle collision accident and the moment when the target vehicle completes the displacement; when there is no displacement, the accident reference data is the relevant data between the first moment before the vehicle collision accident and the moment when the target vehicle collides; the relevant data includes the external image data, the internal operation data and the displacement data of the target vehicle; Determine valid data among the external image data, internal operation data and displacement data of the target vehicle, and use the valid data for determining the liability of the vehicle collision accident.

8. The method according to any one of claims 1 to 3, It is characterized in that The method further comprises: When the accident level is higher than or equal to the preset first level, acquiring road data of the road where the accident occurred; Determining the road grade of the road where the accident occurred based on the road data; When the road grade is higher than a preset second grade, determining whether the shifting function of the target vehicle is normal according to the fault code data; When the displacement function of the target vehicle is normal, a second displacement guidance scheme is generated to enable the target vehicle to be displaced to a second target position corresponding to the second displacement guidance scheme.

9. A displacement guidance device after a vehicle collision accident, It is characterized in that Applicable to diagnostic equipment; the device comprises an acquisition unit and a processing unit; The acquisition unit is used to acquire accident data when a vehicle collision accident occurs to the target vehicle, and the accident data is used to reflect the accident situation of the vehicle collision accident; Acquiring fault code data of the target vehicle, wherein the fault code data is used to reflect the fault condition of the internal components of the target vehicle; The processing unit is used to determine the accident level of the vehicle collision accident based on the accident data and the fault code data, wherein the accident level is used to reflect the severity of the vehicle collision accident; When the accident level is lower than a preset first level, determining whether the target vehicle needs to be moved; When the target vehicle has the displacement requirement, a first displacement guidance scheme is generated, and the target vehicle is guided to be displaced to a first target position corresponding to the first displacement guidance scheme according to the first displacement guidance scheme.

10. A diagnostic device, It is characterized in that include: A processor and a memory, wherein the processor is connected to the memory, the memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory so that the diagnostic device executes the method according to any one of claims 1 to 8.

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