Vehicle porcelain collision prevention method and device

Abstract

The invention discloses a vehicle porcelain collision prevention method and device, and belongs to the technical field of intelligent driving. One specific implementation mode of the method comprises the steps that behavior data of one or more pedestrians in the surrounding environment of a vehicle can be obtained in real time through a vehicle-mounted sensor; analyzing whether the behavior of the pedestrian meets a porcelain bumping behavior according to the behavior data; and under the condition that the behavior of any pedestrian meets the porcelain bumping behavior through analysis, the vehicle is controlled to stop immediately or keep still. According to the embodiment of the invention, the safety of pedestrians is improved, the collision risk between the vehicle and the pedestrians is reduced, and the real-time performance, the accuracy and the automation control degree of vehicle collision prevention are improved.

Description

Technical Field

[0001] This invention relates to the field of intelligent driving technology, and in particular to a method and device for preventing vehicle collision fraud. Background Technology

[0002] During vehicle operation, there may be sudden incidents of pedestrians staging accidents to extort money. Current methods usually rely on the driver's judgment of such behavior, and if the risk of such an incident is detected, the driver will brake.

[0003] Existing methods suffer from low real-time performance and accuracy in identifying staged accidents, resulting in a high risk of vehicles being targeted by such schemes. Summary of the Invention

[0004] In view of this, the present invention provides a method and apparatus for preventing vehicle-related staged accidents, which can utilize onboard sensors to acquire real-time behavioral data of one or more pedestrians in the environment surrounding the vehicle; analyze the behavioral data to determine whether the pedestrian's behavior meets the criteria for staged accidents; and, if it is determined that any pedestrian's behavior meets the criteria for staged accidents, control the vehicle to immediately stop or remain stationary. The embodiments of the present invention improve pedestrian safety, reduce the risk of collisions between vehicles and pedestrians, and enhance the real-time performance, accuracy, and automation of vehicle-related staged accident prevention.

[0005] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0006] In a first aspect, the present invention provides a method for preventing vehicle-related staged accidents, comprising: using onboard sensors to acquire in real time behavioral data of one or more pedestrians in the environment surrounding the vehicle; analyzing the behavioral data to determine whether the pedestrians' behavior satisfies one or more staged accident behaviors; and controlling the vehicle to stop immediately or remain stationary if the analysis determines that the behavior of any pedestrian satisfies a staged accident behavior.

[0007] Optionally, the analysis of pedestrian behavior based on behavioral data may determine whether the pedestrian's behavior satisfies one or more acts of staged accidents, including: determining the relative acceleration of the pedestrian moving towards the vehicle based on the pedestrian's behavioral data, and determining that the pedestrian's behavior satisfies the act of staged accidents if the relative acceleration exceeds a set acceleration threshold.

[0008] Optionally, the analysis of pedestrian behavior based on behavioral data may determine whether the pedestrian's behavior constitutes one or more acts of staged accidents, including: determining the height of the pedestrian's posture based on the pedestrian's behavioral data, and determining that the pedestrian's behavior constitutes staged accidents if the height is lower than a set height threshold.

[0009] Optionally, if the analysis shows that the behavior of any pedestrian satisfies the behavior of staged accidents, the method further includes: storing target behavior data of pedestrians related to staged accidents.

[0010] Optionally, the vehicle anti-collision method further includes: providing an inquiry option that instructs the transfer of target behavior data to the vehicle's dashcam; upon receiving a trigger operation indicating "yes" for the inquiry option, performing the step of transferring the target behavior data to the vehicle's dashcam; otherwise, deleting the target behavior data.

[0011] Optionally, the vehicle anti-collision method further includes: upon receiving an instruction from a passenger to transfer the target behavior data to the vehicle's dashcam, transferring the target behavior data to the vehicle's dashcam.

[0012] Optionally, the vehicle anti-fraud method further includes: generating an alarm message containing information about a pedestrian's fraudulent behavior.

[0013] Secondly, embodiments of the present invention provide a vehicle anti-collision device, comprising:

[0014] The data acquisition module is used to acquire real-time behavioral data of one or more pedestrians in the environment surrounding the vehicle using onboard sensors.

[0015] The feature analysis module is used to analyze whether a pedestrian's behavior meets one or more fraudulent behavior criteria based on behavioral data.

[0016] The vehicle control module is used to control the vehicle to stop immediately or remain stationary if the analysis shows that the behavior of any pedestrian meets the criteria for staged accidents.

[0017] Optionally, the vehicle anti-collision device is used to analyze whether a pedestrian's behavior meets one or more of the criteria for staged collisions based on behavioral data, including: determining the relative acceleration of the pedestrian moving towards the vehicle based on the pedestrian's behavioral data, and determining that the pedestrian's behavior meets the criteria for staged collisions if the relative acceleration exceeds a set acceleration threshold.

[0018] Optionally, the vehicle anti-collision device is used to analyze whether a pedestrian's behavior meets one or more of the criteria for staged collisions based on behavioral data, including: determining the height of the pedestrian's posture based on the pedestrian's behavioral data, and determining that the pedestrian's behavior meets the criteria for staged collisions if the height is lower than a set height threshold.

[0019] Optionally, the vehicle anti-collision device, when it is determined that the behavior of any pedestrian meets the criteria for staged collision, further includes: storing target behavior data of the pedestrian related to the staged collision.

[0020] Optionally, the vehicle anti-collision device is further configured to provide an inquiry option instructing the transfer of target behavior data to the vehicle's dashcam; upon receiving a trigger operation indicating yes for the inquiry option, the step of transferring the target behavior data to the vehicle's dashcam is executed; otherwise, the target behavior data is deleted.

[0021] Optionally, the vehicle anti-collision device is further configured to transfer the target behavior data to the vehicle's dashcam upon receiving an instruction from the occupant to transfer the target behavior data to the dashcam.

[0022] Optionally, the vehicle anti-collision device can be further used to generate warning information that includes information about pedestrians engaging in staged collisions.

[0023] Thirdly, embodiments of the present invention provide an electronic device, comprising:

[0024] One or more processors;

[0025] Storage device, which is used to store one or more programs.

[0026] When one or more programs are executed by one or more processors, the one or more processors implement the vehicle anti-collision method as described in the above embodiments of the present invention.

[0027] Fourthly, embodiments of the present invention provide a computer-readable storage medium storing a computer program that implements a method for preventing vehicle collision fraud. When the computer program is executed by an onboard processor, it implements the method for preventing vehicle collision fraud according to embodiments of the present invention.

[0028] Fifthly, embodiments of the present invention provide a vehicle capable of implementing the vehicle anti-collision method described in the embodiments of the present invention above.

[0029] The technical solution of the above invention has the following advantages or beneficial effects: it can use on-board sensors to acquire real-time behavioral data of one or more pedestrians in the environment surrounding the vehicle; analyze the behavioral data to determine whether the pedestrian's behavior meets the criteria for staged accidents; and, if it is determined that any pedestrian's behavior meets the criteria for staged accidents, control the vehicle to stop immediately or remain stationary. The embodiments of this invention improve pedestrian safety, reduce the risk of collisions between vehicles and pedestrians, and enhance the real-time performance, accuracy, and automation of vehicle anti-staged accident control. Attached Figure Description

[0030] Figure 1 This is a flowchart illustrating a method for preventing vehicle insurance fraud according to an embodiment of the present invention;

[0031] Figure 2A This is a schematic diagram of a vehicle anti-collision scenario provided by an embodiment of the present invention;

[0032] Figure 2B This is a schematic diagram of another vehicle anti-collision scenario provided by an embodiment of the present invention;

[0033] Figure 3This is an interactive schematic diagram of a vehicle anti-collision method provided according to an embodiment of the present invention;

[0034] Figure 4 This is a structural schematic diagram of a vehicle anti-collision device provided according to an embodiment of the present invention;

[0035] Figure 5 This is a schematic diagram of the structure of a computer system suitable for implementing embodiments of the present invention. Detailed Implementation

[0036] The following description, in conjunction with the accompanying drawings, illustrates exemplary embodiments of the present invention, including various details to aid understanding. These details should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the invention. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0037] It should be noted that, unless otherwise specified, the embodiments of the present invention and the technical features thereof can be combined with each other.

[0038] Furthermore, the terms "first," "second," and "third," etc., included in the terminology of this invention are used to distinguish similar objects and are not necessarily used to describe a specific number or order. It should be understood that such terms can be used interchangeably where appropriate; this is merely a distinguishing method used in the embodiments of this invention when describing objects with the same attributes.

[0039] Furthermore, the vehicles involved in the embodiments of the present invention may be internal combustion engine vehicles that use an engine as a power source, hybrid vehicles that use an engine and an electric motor as power sources, electric vehicles that use an electric motor as a power source, etc.

[0040] Figure 1 The following diagram illustrates the main steps of the vehicle anti-collision method provided by the embodiments of the present invention:

[0041] Step S101: Use onboard sensors to acquire real-time behavioral data of one or more pedestrians in the environment surrounding the vehicle.

[0042] Step S102: Analyze the pedestrian's behavior based on the behavioral data to determine whether it meets one or more criteria for staged accidents.

[0043] Step S103: If the analysis shows that the behavior of any pedestrian meets the criteria for staged accident, control the vehicle to stop immediately or keep it stationary.

[0044] Specifically, cameras installed at multiple locations on the vehicle can capture images of pedestrians in the environment surrounding the vehicle (e.g., a designated area centered on the vehicle). Alternatively, radar equipment can be used to acquire the distance or movement status of pedestrians within the designated area around the vehicle (i.e., the surrounding environment). By analyzing the pedestrian movement indicated in the images and combining it with the pedestrian's distance or movement status (speed, acceleration, direction of movement, etc.), behavioral data for one or more pedestrians can be determined. For example, analysis can determine whether a pedestrian's behavior is standing, walking at low speed, rushing at high speed, or falling. Understandably, the camera and radar equipment can be used together, or one can be used independently.

[0045] Furthermore, behavioral data analysis is used to determine whether pedestrian behavior constitutes one or more types of staged accidents.

[0046] In embodiments of the present invention, the analyzed staged accident behavior includes the following types:

[0047] The first type: targeting situations where the staged accident involves a collision.

[0048] The analysis of pedestrian behavior data determines whether it constitutes one or more acts of staged accidents (or "insurance fraud"). This includes determining the relative acceleration of the pedestrian moving towards the vehicle based on the pedestrian's behavior data. If the relative acceleration exceeds a set acceleration threshold, the pedestrian's behavior is deemed to constitute staged accidents. Specifically, during vehicle operation, if the pedestrian's movement is determined to be a collision towards the vehicle, the relative acceleration between the pedestrian and the vehicle is further determined based on the pedestrian's acceleration and the vehicle's acceleration. It is then determined whether the relative acceleration exceeds a set acceleration threshold. If it does, the pedestrian is deemed to be engaging in staged accidents, and the vehicle is immediately stopped or brought to a standstill to improve pedestrian safety, vehicle safety, and the level of automation in this scenario. The set acceleration threshold can be determined based on data obtained from experimental scenarios involving pedestrians and vehicles.

[0049] Figure 2A This diagram illustrates a vehicle anti-collision scenario provided by an embodiment of the present invention; as shown. Figure 2A The diagram shows a vehicle V and a pedestrian P. The arrows above the pedestrian and the vehicle indicate their respective directions of movement. Vehicle sensors (such as cameras and radar) are used to detect the movement of pedestrian P towards vehicle V and calculate the relative acceleration between pedestrian P and vehicle V to determine whether there is a staged accident where pedestrian P "collides" with vehicle V.

[0050] The second approach addresses situations where the pedestrian falls to the ground during a staged accident. This involves analyzing behavioral data to determine if the pedestrian's behavior meets one or more criteria for staged accidents. This includes determining the height of the pedestrian's posture based on the behavioral data. If the height is below a set height threshold, the pedestrian's behavior is deemed to meet the criteria for staged accidents. The height threshold can be determined based on experimental data measured after adults fall to the ground.

[0051] Specifically, when the vehicle is stationary or traveling at a low speed, the system analyzes the pedestrian's posture and direction as indicated in the pedestrian image, as well as the motion state indicated by radar data. If the analysis results indicate that the height of the pedestrian's posture is below a set height threshold, it is determined that the pedestrian is in a fallen state. In this case, the pedestrian's behavior is determined to meet the criteria for staged accidents, and the vehicle is controlled to stop immediately or remain stationary. This improves pedestrian safety, vehicle safety, and the degree of automation control for this scenario.

[0052] Figure 2B This diagram illustrates another vehicle anti-collision scenario provided by an embodiment of the present invention; as shown. Figure 2B The vehicle V shown above, and one of the multiple pedestrians P, use onboard sensors (such as cameras, radar, etc.) to sense the posture and speed of one or more pedestrians P to determine whether there is a staged accident where the pedestrian "falls down".

[0053] The third type: a combination of the first and second types, or other custom-designed acts of extortion.

[0054] Preferably, an alarm message containing information about a pedestrian's staged accident behavior is generated. This alarm message, indicating "staged accident behavior exists," can be displayed on the vehicle's display device, or it can be sent using various methods such as sound, vibration, or light. Alternatively, the alarm message can be reported to the vehicle management platform; or it can be sent to surrounding vehicles.

[0055] By sensing and analyzing whether pedestrians around a vehicle are engaging in staged accidents, and immediately stopping or keeping the vehicle stationary, the level of harm to pedestrians is reduced, while the risk of the vehicle being the victim of staged accidents is also reduced, thus improving the precision and automation of vehicle anti-staged accident measures.

[0056] Furthermore, in an embodiment of the present invention, when the behavior of any pedestrian is found to meet the criteria for staged accidents, the vehicle anti-staged accident method further includes: storing target behavior data of pedestrians related to staged accidents.

[0057] Furthermore, in this embodiment of the invention, target behavioral data related to pedestrian staged accidents can be transferred to the vehicle's dashcam. Specifically, by transferring pedestrian behavioral data (e.g., images, videos, text, etc.) to the dashcam, the dashcam can reconstruct the scene of a pedestrian staging an accident by playing back the pedestrian data.

[0058] Furthermore, in embodiments of the present invention, the method of triggering the transfer of pedestrian target behavior data to the dashcam includes:

[0059] The first method: Provide an option to instruct the target behavior data to be transferred to the vehicle's dashcam; if a trigger operation is received indicating "yes" for the inquiry option, execute the step of transferring the target behavior data to the vehicle's dashcam; otherwise, delete the target behavior data.

[0060] Specifically, a page with inquiry options can be displayed on the vehicle's central control screen. The inquiry option is about automatically triggering the transfer of target behavior data to the vehicle's dashcam. If the passenger selects the "yes" option on the page, the target behavior data will be automatically transferred to the vehicle's dashcam; otherwise, the target behavior data will be deleted. By providing inquiry options to the passenger, the flexibility of transferring target behavior data to the dashcam is improved, as is the flexibility of managing the dashcam's storage space.

[0061] The second method: Upon receiving an instruction from the passenger to transfer the target behavior data to the dashcam, the target behavior data is transferred to the vehicle's dashcam.

[0062] Specifically, passengers can directly send a command to transfer the target behavior data to the vehicle's dashcam through the vehicle's central control screen. Upon receiving the storage command from the passenger to transfer the target behavior data, the target behavior data will be transferred to the vehicle's dashcam.

[0063] Figure 3 This diagram illustrates an interactive schematic of a vehicle anti-collision method provided by an embodiment of the present invention; as shown. Figure 3 As shown, it includes an in-vehicle central control system S1 and an autonomous driving system S2.

[0064] Step S301: The onboard sensors are controlled by the autonomous driving system S2 to acquire real-time behavioral data of one or more pedestrians in the surrounding environment of the vehicle.

[0065] Step S302: The autonomous driving system S2 analyzes the pedestrian's behavior based on the behavioral data to determine whether it meets one or more criteria for staged accidents.

[0066] Step S303: If the analysis shows that the behavior of any pedestrian meets the criteria for staged accident fraud, the autonomous driving system S2 controls the vehicle to stop immediately or remain stationary.

[0067] Step S304: In response to storing the behavior data corresponding to the pedestrian's staged accident behavior, store the behavior data in the storage module of the autonomous driving system S2.

[0068] Steps S301 to S304 are described as follows: The autonomous driving system S2 controls the on-board sensors to acquire the behavior data of one or more pedestrians in the surrounding environment of the vehicle in real time; then, based on the behavior data monitored by the on-board sensors, it is analyzed whether the pedestrian's behavior meets one or more of the behaviors of staged accidents; if it is determined that the behavior meets the criteria of staged accidents, the vehicle is controlled to stop immediately or remain stationary.

[0069] Specifically, the analysis of pedestrian behavior data determines whether it constitutes one or more staged accident fraud behaviors. This includes: determining the relative acceleration of the pedestrian moving towards the vehicle based on the pedestrian's behavior data; if the relative acceleration exceeds a set acceleration threshold, the pedestrian's behavior is determined to constitute a "collision" staged accident fraud behavior. Furthermore, the analysis of pedestrian behavior data also determines the height of the pedestrian's posture; if the height is below a set height threshold, the pedestrian's behavior is determined to constitute a "falling" staged accident fraud behavior.

[0070] Step S305: The autonomous driving system S2 sends an instruction signal to the vehicle central control system S1, wherein the instruction information storage module contains the target behavior data corresponding to the newly added pedestrian staged accident behavior; after receiving the instruction signal, the vehicle central control system S1 triggers the operation of transferring the target behavior data corresponding to the pedestrian staged accident behavior to the driving recorder.

[0071] Step S306: The autonomous driving system S2 transfers the target behavior data in its storage module to the driving recorder included in the vehicle central control system S1.

[0072] This invention improves the flexibility of processing target behavioral data related to staged accidents by performing trigger operations such as storage and transfer of behavioral data related to staged accidents through the interaction between the vehicle central control system and the autonomous driving system.

[0073] Figure 4 A schematic diagram of the structure of a vehicle anti-collision device 400 applicable to embodiments of the present invention is shown. It includes:

[0074] The data acquisition module 401 is used to acquire real-time behavioral data of one or more pedestrians in the environment surrounding the vehicle using onboard sensors.

[0075] The feature analysis module 402 is used to analyze whether the pedestrian's behavior meets one or more of the behaviors of staged accidents based on behavioral data.

[0076] The vehicle control module 403 is used to control the vehicle to stop immediately or remain stationary if the analysis shows that the behavior of any pedestrian meets the criteria for staged accident.

[0077] The following is for reference. Figure 5 It shows a schematic diagram of the structure of a computer system 500 suitable for implementing embodiments of the present invention. Figure 5 The computer system shown is merely an example and should not be construed as limiting the functionality and scope of the embodiments of the present invention.

[0078] like Figure 5 As shown, the computer system 500 includes a central processing unit (CPU) 501, which can perform various appropriate actions and processes based on programs stored in read-only memory (ROM) 502 or programs loaded from storage section 508 into random access memory (RAM) 503. The RAM 503 also stores various programs and data required for the operation of the system 500. The CPU 501, ROM 502, and RAM 503 are interconnected via a bus 504. An input / output (I / O) interface 505 is also connected to the bus 504.

[0079] The following components are connected to I / O interface 505: an input section 506; an output section 507 including devices such as cathode ray tubes (CRTs), liquid crystal displays (LCDs), and speakers; a storage section 508 including devices such as hard disks; and a communication section 509 including network interface cards such as LAN cards and modems. The communication section 509 performs communication processing via a network such as the Internet. A drive 510 is also connected to I / O interface 505 as needed. A removable medium 511, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on drive 510 as needed so that computer programs read from it can be installed into storage section 508 as needed.

[0080] In particular, according to the embodiments disclosed in this invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this invention include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 509, and / or installed from removable medium 511. When the computer program is executed by central processing unit (CPU) 501, it performs the functions defined above in the system of this invention.

[0081] It should be noted that the computer-readable medium shown in this invention can be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this invention, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In this invention, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media can also be any computer-readable medium other than computer-readable storage media, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.

[0082] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, may be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0083] In another aspect, the present invention also provides a computer-readable medium, which may be included in the device described in the above embodiments; or it may exist independently and not assembled into the device. The computer-readable medium carries one or more programs that, when executed by the device, cause the device to: acquire in real time behavioral data of one or more pedestrians in the environment surrounding the vehicle using onboard sensors; analyze whether the pedestrians' behavior satisfies one or more acts of staged accidents based on the behavioral data; and, if the analysis determines that any pedestrian's behavior satisfies the act of staged accidents, control the vehicle to immediately stop or remain stationary.

[0084] Those skilled in the art will understand that various modifications, combinations, sub-combinations, and substitutions can occur depending on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for preventing vehicle insurance fraud, characterized in that, include: The vehicle uses onboard sensors to acquire real-time behavioral data of one or more pedestrians in the environment surrounding the vehicle. Based on the behavioral data, analyze whether the pedestrian's behavior meets one or more of the criteria for staged accidents. If the analysis determines that the behavior of any of the pedestrians constitutes a staged accident, the vehicle shall be brought to an immediate stop or kept stationary.

2. The vehicle anti-collision fraud method according to claim 1, characterized in that, The step of analyzing whether the pedestrian's behavior, based on the behavioral data, meets one or more of the criteria for staged accidents includes: Based on the pedestrian's behavior data, the relative acceleration of the pedestrian moving towards the vehicle is determined. If the relative acceleration exceeds a set acceleration threshold, the pedestrian's behavior is determined to constitute staged accident fraud.

3. The vehicle anti-collision fraud method according to claim 1, characterized in that, The step of analyzing whether the pedestrian's behavior, based on the behavioral data, meets one or more of the criteria for staged accidents includes: Based on the pedestrian's behavioral data, the height of the pedestrian's posture is determined. If the height is determined to be lower than a set height threshold, the pedestrian's behavior is determined to meet the criteria for staged accident fraud.

4. The vehicle anti-collision fraud method according to claim 1, characterized in that, If the analysis determines that the behavior of any of the pedestrians constitutes a staged accident scam, the vehicle anti-staged accident scam method further includes: Store the target behavior data of the pedestrian and the staged accident.

5. The vehicle anti-collision fraud method according to claim 4, characterized in that, Further includes: Provides an option to instruct the transfer of the target behavior data to the vehicle's dashcam; Upon receiving a trigger operation indicating "yes" for the query option, the step of transferring the target behavior data to the vehicle's dashcam is executed. Otherwise, delete the target behavior data.

6. The vehicle anti-collision fraud method according to claim 4, characterized in that, Further includes: Upon receiving an instruction from the occupant to transfer the target behavior data to the dashcam, The target behavior data is transferred to the vehicle's dashcam.

7. The vehicle anti-collision fraud method according to claim 1, characterized in that, Further includes: Generate an alarm message containing the pedestrian's staged accident behavior.

8. A vehicle anti-collision device, characterized in that, include: The data acquisition module is used to acquire real-time behavioral data of one or more pedestrians in the environment surrounding the vehicle using onboard sensors. The feature analysis module is used to analyze whether the pedestrian's behavior meets one or more fraudulent behavior criteria based on the behavioral data. The vehicle control module is used to control the vehicle to stop immediately or remain stationary if the analysis determines that the behavior of any of the pedestrians constitutes a staged accident.

9. A vehicle anti-collision electronic device, characterized in that, The electronic device includes: One or more processors; Storage device, which is used to store one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the method as described in any one of claims 1-7.

10. A computer-readable storage medium storing thereon a computer program for implementing a method for preventing vehicle insurance fraud, characterized in that, include: When the computer program is executed by a processor, it implements the method as described in any one of claims 1-7.

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