Whole vehicle electromagnetic compatibility pedestrian simulation system verification method, device and equipment and storage medium

Abstract

The application discloses a whole vehicle electromagnetic compatibility pedestrian simulation system verification method and device, equipment and a storage medium, relates to the technical field of whole vehicle electromagnetic compatibility pedestrian simulation system, and comprises the following steps: acquiring simulation test scene data, the simulation test scene data is collected by building a whole vehicle electromagnetic compatibility pedestrian test scene in a whole vehicle semi-electric wave darkroom; verifying the electromagnetic compatibility whole vehicle function determination verification result based on the simulation test scene data; based on the verification result, the electromagnetic compatibility whole vehicle function item is determined, the whole vehicle intelligent driving function test tool is expanded, and the whole vehicle intelligent driving function test tool is applied to automatically match the typical road working condition. Through building a simulation test scene in a whole vehicle semi-electric wave darkroom and collecting data, the application verifies the whole vehicle electromagnetic compatibility function expansion function item, realizes automatic matching of the typical road working condition, significantly improves the performance test efficiency and accuracy of the intelligent driving system in the complex electromagnetic environment, and ensures the safety and stability of the vehicle.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of whole vehicle electromagnetic compatibility pedestrian simulation system, in particular to a whole vehicle electromagnetic compatibility pedestrian simulation system verification method, device, equipment and storage medium. BACKGROUND

[0002] With the development of intelligent and networked vehicles, modern vehicles have developed from traditional functional applications to intelligent, networked and electric vehicles. Major domestic traditional and new force vehicle manufacturers are developing intelligent driving systems for vehicles, such as adaptive cruise control, automatic emergency braking and lane departure warning. These intelligent driving functions need to be used in various complex environments, such as strong electromagnetic compatibility environments. Therefore, testing the performance of vehicle electromagnetic interference resistance is a necessary work.

[0003] Currently, the existing method is to increase intelligent auxiliary devices for activating the adaptive cruise control function and forward collision warning function of the vehicle in a semi-anechoic chamber. When the test conditions of the vehicle under test are stable, the electromagnetic immunity test of the automatic driving assistance function of the vehicle is carried out according to the test method. The signal of the vehicle under test and the test phenomenon are monitored to classify and evaluate the electromagnetic safety of the intelligent vehicle.

[0004] However, although the existing method can model the overall system of the vehicle system, for the complex electromagnetic compatibility problem in the vehicle system, the existing modeling method has slow simulation speed, which leads to the extension of the development cycle of the vehicle, and cannot fully cover the needs of intelligent driving functions in complex electromagnetic environments, such as simulating pedestrians crossing the road in various directions while the vehicle is running in the whole vehicle electromagnetic compatibility laboratory, triggering the test requirements of automatic emergency braking and automatic continuous driving, i.e. the test requirements of the function after the pedestrian moves away. Therefore, how to more efficiently and accurately verify the whole vehicle electromagnetic compatibility pedestrian simulation system has become a problem to be solved.

[0005] The above content is only used to assist in understanding the technical solutions of the present application and does not represent the acknowledgement of the above content as prior art. SUMMARY

[0006] The main purpose of the present application is to provide a whole vehicle electromagnetic compatibility pedestrian simulation system verification method, device, equipment and storage medium, which aims to solve the technical problem of how to more efficiently and accurately verify the whole vehicle electromagnetic compatibility pedestrian simulation system.

[0007] To achieve the above purpose, the present application provides a whole vehicle electromagnetic compatibility pedestrian simulation system verification method, which comprises:

[0008] Obtaining simulation test scene data, the simulation test scene data is collected by building a whole vehicle electromagnetic compatibility pedestrian test scene in a whole vehicle semi-anechoic chamber.

[0009] verify the electromagnetic compatibility vehicle function determination result based on the simulation test scene data;

[0010] extend the electromagnetic compatibility vehicle function item determination vehicle intelligent driving function test tool based on the verification result, and automatically match a typical road working condition by using the vehicle intelligent driving function test tool.

[0011] In an embodiment, the method is applied to a vehicle electromagnetic compatibility pedestrian simulation system verification device, and the vehicle electromagnetic compatibility pedestrian simulation system verification device comprises a rotating stock, a camera, a ranging radar, a pedestrian base, a simulated pedestrian guide rail, a motor, and a wallboard connector.

[0012] The rotating stock is used to fix a test vehicle to obtain electromagnetic compatibility vehicle state data, the camera, the ranging radar, the pedestrian base, the simulated pedestrian guide rail, and the motor are used to assemble a simulated pedestrian tool, and the wallboard connector is used to connect the simulated pedestrian tool to simulate a pedestrian motion mode to obtain pedestrian simulation console data.

[0013] Obtain electromagnetic compatibility vehicle state data and pedestrian simulation console data.

[0014] Determine simulation test scene data based on the electromagnetic compatibility vehicle state data and the pedestrian simulation console data.

[0015] In an embodiment, the vehicle electromagnetic compatibility pedestrian simulation system verification device further comprises a radiation interference transmitting antenna, a rotating stock, and a pedestrian simulation console.

[0016] The radiation interference transmitting antenna is used to transmit an antenna signal to obtain an electromagnetic interference state value in a vehicle radiation interference test, the rotating stock is further used to limit vehicle motion to obtain vehicle motion state data, and the pedestrian simulation console is used to connect the wallboard connector to control the motor to simulate a pedestrian motion mode to obtain device man setting information, camera information, and power switch information.

[0017] Obtain electromagnetic interference state values, vehicle motion state data, device man setting information, camera information, and power switch information.

[0018] Determine electromagnetic compatibility vehicle state data based on the electromagnetic interference state values and the vehicle motion state data.

[0019] Determine pedestrian simulation console data based on the device man setting information, the camera information, and the power switch information.

[0020] In an embodiment, the method further comprises, before the step of determining pedestrian simulation console data based on the device man setting information, the camera information, and the power switch information,

[0021] acquiring new setting information, saving setting information, deleting setting information, importing setting information, randomly setting information, starting running information, function reserving information, radar setting information, camera setting information, pedestrian distance information, pedestrian speed information, video button information, power switch information, emergency stop switch information and reset switch information;

[0022] determining device model setting information based on the new setting information, the saving setting information, the deleting setting information, the importing setting information, the randomly setting information, the starting running information and the function reserving information;

[0023] determining camera information based on the radar setting information, the camera setting information, the pedestrian distance information, the pedestrian speed information and the video button information;

[0024] determining power switch information based on the power switch information, the emergency stop switch information and the reset switch information.

[0025] In an embodiment, the step of determining a verification result based on the simulation test scene data verifying the electromagnetic compatibility of the whole vehicle function comprises:

[0026] determining pedestrian simulation data based on the simulation test scene data simulating pedestrian motion conditions, wherein the pedestrian motion conditions include uniform motion conditions, acceleration motion conditions and deceleration motion conditions of pedestrians;

[0027] verifying the electromagnetic compatibility of the whole vehicle function based on the pedestrian simulation data to obtain a verification result, wherein the electromagnetic compatibility of the whole vehicle function includes emergency brake function and cruise control function.

[0028] In an embodiment, the step of determining the intelligent driving function test tooling of the whole vehicle based on the verification result comprises:

[0029] replacing the electromagnetic compatibility pedestrian test scene of the whole vehicle based on the verification result to determine a whole vehicle model test scene, wherein the whole vehicle model test scene includes vehicle driving test scene, following test scene and pre-collision test scene;

[0030] detecting the anti-interference performance of the whole vehicle based on the whole vehicle model test scene to obtain the intelligent driving function test tooling of the whole vehicle.

[0031] In an embodiment, the step of detecting the anti-interference performance of the whole vehicle based on the whole vehicle model test scene to obtain the intelligent driving function test tooling of the whole vehicle comprises:

[0032] detecting traffic recognition conditions based on the whole vehicle model test scene to determine a detection result, wherein the traffic recognition conditions include brake recognition conditions and steering signal recognition conditions.

[0033] Based on the test results, a testing fixture for the intelligent driving function of the whole vehicle is packaged.

[0034] Furthermore, to achieve the above objectives, this application also proposes a vehicle electromagnetic compatibility pedestrian simulation system verification device, which includes:

[0035] The acquisition module is used to acquire simulated test scenario data, which is collected in a vehicle electromagnetic compatibility pedestrian test scenario built in a semi-anechoic chamber for the whole vehicle.

[0036] The processing module is used to verify the electromagnetic compatibility of the vehicle based on the simulated test scenario data and determine the verification results.

[0037] The execution module is used to expand the electromagnetic compatibility vehicle function items based on the verification results, determine the vehicle intelligent driving function test fixture, and automatically match typical road conditions using the vehicle intelligent driving function test fixture.

[0038] Furthermore, to achieve the above objectives, this application also proposes a vehicle electromagnetic compatibility pedestrian simulation system verification device, the device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the vehicle electromagnetic compatibility pedestrian simulation system verification method described above.

[0039] In addition, to achieve the above objectives, this application also proposes a storage medium, which is a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the steps of the vehicle electromagnetic compatibility pedestrian simulation system verification method described above.

[0040] One or more technical solutions proposed in this application have at least the following technical effects:

[0041] This embodiment proposes a method for verifying a vehicle electromagnetic compatibility (EMC) pedestrian simulation system. The method involves acquiring simulated test scenario data, which is collected in a semi-anechoic chamber within the vehicle by constructing an EMC pedestrian test scenario. Based on the simulated test scenario data, the EMC functionality of the entire vehicle is verified to determine the verification results. Based on the verification results, the EMC functionality of the entire vehicle is expanded to determine the testing fixture for the intelligent driving function. This intelligent driving function testing fixture is then applied to automatically match typical road conditions. This application verifies the vehicle's EMC functionality by constructing a simulated test scenario and collecting data in a semi-anechoic chamber. Based on the verification results, functional items are expanded to determine the testing fixture for the intelligent driving function, achieving automatic matching of typical road conditions. This significantly improves the efficiency and accuracy of performance testing of the intelligent driving system in complex electromagnetic environments, ensuring the safety and stability of the vehicle. Attached Figure Description

[0042] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0043] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0044] Figure 1 This is a flowchart illustrating an embodiment of the vehicle electromagnetic compatibility pedestrian simulation system verification method of this application.

[0045] Figure 2 This is a test layout diagram of the vehicle radiated immunity and pedestrian simulation system for the verification method of the vehicle electromagnetic compatibility pedestrian simulation system in this application;

[0046] Figure 3 This is a flowchart illustrating Embodiment 2 of the verification method for the whole vehicle electromagnetic compatibility pedestrian simulation system of this application.

[0047] Figure 4 This is a schematic diagram of the pedestrian simulation control and monitoring console interface and structure of the vehicle electromagnetic compatibility pedestrian simulation system verification method of this application;

[0048] Figure 5 This is a schematic diagram of the module structure of the vehicle electromagnetic compatibility pedestrian simulation system verification device according to an embodiment of this application;

[0049] Figure 6 This is a schematic diagram of the equipment structure of the hardware operating environment involved in the vehicle electromagnetic compatibility pedestrian simulation system verification method in the embodiments of this application.

[0050] The purpose, features, and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0051] It should be understood that the specific embodiments described herein are merely illustrative of the technical solutions of this application and are not intended to limit this application.

[0052] To better understand the technical solution of this application, a detailed description will be provided below in conjunction with the accompanying drawings and specific implementation methods.

[0053] The main solution of this application embodiment is: to acquire simulated test scenario data, which is collected in a semi-anechoic chamber for the whole vehicle by setting up a vehicle electromagnetic compatibility pedestrian test scenario; to verify the electromagnetic compatibility vehicle function based on the simulated test scenario data and determine the verification result; to expand the electromagnetic compatibility vehicle function items based on the verification result and determine the vehicle intelligent driving function test fixture; and to automatically match typical road conditions using the vehicle intelligent driving function test fixture.

[0054] In this embodiment, for ease of description, the following description will focus on the vehicle electromagnetic compatibility pedestrian simulation system verification device.

[0055] While existing technologies can model the overall vehicle system, they are slow to simulate complex electromagnetic compatibility issues within the vehicle system, leading to extended vehicle development cycles. Furthermore, they cannot fully cover the requirements of intelligent driving functions in complex electromagnetic environments. For example, in a vehicle electromagnetic compatibility laboratory, when simulating vehicle operation, pedestrians may cross the road from various directions, triggering automatic emergency braking, and the function of automatically continuing driving after the pedestrians have moved away is also tested.

[0056] This application provides a solution for acquiring simulated test scenario data, which is collected in a semi-anechoic chamber for a vehicle by constructing an electromagnetic compatibility (EMC) pedestrian test scenario; verifying the EMC vehicle function based on the simulated test scenario data to determine the verification result; expanding the EMC vehicle function items based on the verification result to determine the vehicle intelligent driving function test fixture; and automatically matching typical road conditions using the vehicle intelligent driving function test fixture.

[0057] As can be seen from the above embodiments, this application verifies the electromagnetic compatibility function of the vehicle by building a simulated test scenario and collecting data in a semi-anechoic chamber for the whole vehicle, and expands the functional items based on the verification results, thereby determining the test fixture for the intelligent driving function of the whole vehicle, realizing automatic matching of typical road conditions, significantly improving the efficiency and accuracy of performance testing of the intelligent driving system in complex electromagnetic environments, and ensuring the safety and stability of the vehicle.

[0058] Based on this, embodiments of this application provide a verification method for a vehicle electromagnetic compatibility pedestrian simulation system, referring to... Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of the vehicle electromagnetic compatibility pedestrian simulation system verification method of this application.

[0059] In this embodiment, the verification method for the vehicle electromagnetic compatibility pedestrian simulation system includes steps S10 to S30:

[0060] Step S10: Obtain simulated test scenario data. The simulated test scenario data is collected by constructing a vehicle electromagnetic compatibility pedestrian test scenario in a semi-anechoic chamber for the whole vehicle.

[0061] It should be noted that the simulated test scenario data reflects the specific performance parameters actually tested under electromagnetic interference.

[0062] It is understandable that, such as Figure 2 As shown, Figure 2 This document presents a test layout diagram for the vehicle radiated immunity and pedestrian simulation system of the vehicle electromagnetic compatibility (EMC) pedestrian simulation system verification method of this application. The diagram includes a radiated interference transmitting antenna, a rotating strand, a camera, a ranging radar, a pedestrian base, a simulated pedestrian guide rail, a motor, a wall panel connector, and a pedestrian simulation console. The radiated interference transmitting antenna is used to transmit antenna signals to obtain EMC status values ​​during vehicle radiated immunity testing. The rotating strand is used to fix the test vehicle to obtain EMC vehicle status data and also to limit vehicle movement to obtain vehicle movement status data. The camera, ranging radar, pedestrian base, simulated pedestrian guide rail, and motor are used to assemble the simulated pedestrian assembly. The wall panel connector is used to connect the simulated pedestrian assembly to simulate pedestrian movement modes and obtain data from the pedestrian simulation console. The pedestrian simulation console is used to connect to the wall panel connector to control the motor to simulate pedestrian movement modes and obtain device simulation settings information, camera information, and power switch information.

[0063] For ease of understanding, we will take the acquisition of simulated test scenario data as an example, where the information acquisition device is the information acquisition module and the storage device is the memory.

[0064] In a semi-anechoic chamber for the entire vehicle, a vehicle-wide electromagnetic compatibility (EMC) pedestrian test scenario is constructed. This scenario includes a radiated interference transmitting antenna, a rotating track, a camera, a ranging radar, a pedestrian base, a simulated pedestrian rail, a motor, wall panel connectors, and a pedestrian simulation control console. Simulated test scenario data is collected based on this scenario and then processed. The radiated interference transmitting antenna is a standard vehicle-wide EMC test antenna that simulates an electromagnetic interference environment and pedestrian behavior. A movable pedestrian fixture is tested, where a motor drives the rail, thereby moving the simulated pedestrian at constant speed, accelerating, decelerating, or moving away from the test vehicle, simulating triggering events on the vehicle. The system includes an emergency braking function and a cruise control mode activation function. Simultaneously, it can simulate pedestrians with cameras and ranging radars positioned on their head, torso, and legs. It simulates pedestrian speed, distance between pedestrians and vehicles, and vehicle actions such as braking, starting, and light changes. This data is transmitted via fiber optic cable to the pedestrian simulation control and monitoring console, providing control parameters and test result analysis. The pedestrian base securely connects the simulated pedestrian to a pedestrian guide rail. The movement of the guide rail moves the pedestrian. The simulated pedestrian guide rail consists of a track for the pedestrian and the guide rail. The motor can rotate forward and backward, controlling the pedestrian's movement towards or away from the vehicle under test. The wall panel connector can bridge the connection channels between the vehicle's darkroom and the external control room. The pedestrian simulation control console can control and set various movement modes for the motor and the simulated pedestrian.

[0065] Step S20: Verify the electromagnetic compatibility of the vehicle based on the simulated test scenario data and determine the verification results;

[0066] It should be noted that the verification results reflect the performance characteristics of the vehicle electromagnetic compatibility pedestrian simulation system under simulated test scenarios.

[0067] It is understood that the verification results include the verification results of the emergency braking function and the cruise function, which are used to more accurately evaluate the performance of the system in a simulated electromagnetic environment, ensure the reliability of functions such as emergency braking and cruise under electromagnetic interference, and improve the safety of the vehicle in actual use.

[0068] Additionally, it should be noted that intelligent cars equipped with adaptive cruise control systems can use radar and computers to identify bicycles, cars, and pedestrians approaching the vehicle, and control the vehicle's driving status according to road conditions, thereby completely or partially replacing the driver's operation. Furthermore, when testing the cruise function, the simulation test can be achieved by replacing the human form on the guide rail platform with the form of a car.

[0069] For ease of understanding, we will take the determination of verification results as an example, where the information acquisition device is the information acquisition module, the storage device is the memory, and the processing device is the data analysis module.

[0070] In a semi-anechoic chamber for the whole vehicle, an electromagnetic compatibility (EMC) pedestrian test scenario is constructed to obtain simulated test scenario data. Based on the simulated test scenario data, the EMC function of the whole vehicle is verified to determine the verification result, and subsequent processing is carried out based on the verification result.

[0071] In a semi-anechoic chamber within the vehicle, an electromagnetic compatibility (EMC) pedestrian test scenario was constructed to test the system's emergency braking function. The system used radar to measure the distance to the vehicle in front or an obstacle, obtaining simulated test scenario data. This data was then analyzed using a data analysis module, comparing the measured distance, warning distance, and safe distance to verify the emergency braking function. If the measured distance was less than the warning distance, an alarm was triggered. If the measured distance was less than the safe distance, the system would activate automatically, braking the vehicle to ensure safe travel, even if the driver did not have time to apply the brake pedal. The verification results were then obtained, categorized as successful or unsuccessful, and subsequent processing was performed based on these results.

[0072] In a semi-anechoic chamber, a vehicle-wide electromagnetic compatibility (EMC) pedestrian test scenario was constructed to test the system's cruise control function, specifically adaptive cruise control. Based on information detected by the vehicle distance sensor and the vehicle's driving route determined by the vehicle speed and yaw rate sensors, simulated test scenario data was obtained. The vehicle distance sensor employed microwave radar or distance radar to determine whether there were vehicles ahead in the same lane. When there were no vehicles ahead, the system maintained a set speed; when a vehicle appeared ahead, it slowed down to a lower speed to maintain a safe distance from the vehicle ahead, thus verifying the system's cruise control function. Four typical functions were tested, such as the system maintaining normal cruise control when there were no vehicles ahead. In ACC driving mode, the vehicle travels at the speed set by the driver. The driver only needs to control the direction. Alternatively, when a target vehicle appears in front of the ACC vehicle, if the target vehicle's speed is less than that of the ACC vehicle, the ACC vehicle will automatically begin deceleration control to ensure that the distance between the two vehicles is the set safe distance. Or, when the distance between the two vehicles equals the safe distance, the ACC system will follow the target vehicle, i.e., travel at the same speed as the target vehicle. Or, when the target vehicle in front changes lanes, or when the ACC vehicle changes lanes and there are no vehicles in front of the ACC vehicle, the ACC system will accelerate the ACC vehicle to restore it to the set speed, thereby obtaining the verification result. If the verification is successful or unsuccessful, subsequent processing will be carried out based on the verification result.

[0073] In one feasible implementation, step S20 may include steps A11 to A12:

[0074] Step A11: Based on the simulated test scenario data, simulate pedestrian motion conditions to determine pedestrian simulation data. The pedestrian motion conditions include pedestrian uniform motion conditions, pedestrian acceleration motion conditions, and pedestrian deceleration motion conditions.

[0075] It should be noted that the pedestrian simulation data reflects the characteristics of pedestrians' movement state in the simulated environment.

[0076] It is understood that the pedestrian simulation data may include the pedestrian's target speed, target direction, actual position, direction of movement, and interaction with others and obstacles, thereby characterizing the pedestrian's movement behavior in a specific environment, such as obstacle avoidance, path selection, speed changes, and interaction in a group, such as following, avoiding, and forming a queue.

[0077] Step A12: Verify the electromagnetic compatibility vehicle functions based on the pedestrian simulation data to obtain verification results. The electromagnetic compatibility vehicle functions include emergency braking and cruise control.

[0078] It is understandable that the pedestrian simulation data can more accurately predict the location and status of pedestrians, and can help intelligent driving systems respond better to pedestrian behavior under electromagnetic interference, thereby improving the safety and reliability of the system, saving costs and improving development efficiency.

[0079] Step S30: Based on the verification results, expand the electromagnetic compatibility vehicle function items to determine the vehicle intelligent driving function test fixture, and apply the vehicle intelligent driving function test fixture to automatically match typical road conditions.

[0080] It should be noted that the aforementioned vehicle intelligent driving function testing fixture reflects the characteristics of a testing environment adapted to simulated traffic environments and actual road conditions.

[0081] It is understandable that the aforementioned vehicle intelligent driving function testing fixture can simulate various traffic environments and conditions, comprehensively evaluate the performance of the intelligent driving system, and significantly improve the accuracy of test results.

[0082] Additionally, it should be noted that the typical road conditions may include typical road conditions for autonomous driving, typical road conditions for electromagnetic interference, and typical road conditions for functional testing in non-electromagnetic compatibility laboratories. The typical road conditions for autonomous driving are tested when, during autonomous driving, a pedestrian, motor vehicle, or non-motor vehicle runs a red light while the traffic light is green and the vehicle is permitted to drive. The typical road conditions for electromagnetic interference are tested when electromagnetic interference is applied. The typical road conditions for functional testing in non-electromagnetic compatibility laboratories are tested in functional testing scenarios in non-electromagnetic compatibility laboratories, i.e., human-vehicle interaction scenarios or road test scenarios, to assess the functional response.

[0083] For ease of understanding, we will take the test fixture for obtaining the intelligent driving function of the whole vehicle as an example. The information acquisition device is the information acquisition module, the storage device is the memory, and the execution device is the execution module.

[0084] The information acquisition module obtains the verification results. Based on these results, it replaces the vehicle electromagnetic compatibility (EMC) pedestrian test scenario to determine the vehicle model test scenario. The vehicle model test scenario includes vehicle driving test scenarios, following test scenarios, and pre-collision test scenarios. This involves replacing the simulated pedestrian with a vehicle model, simulating the test conditions required for vehicle driving, following, and pre-collision scenarios, and installing systems such as brakes and turn signals on the simulated vehicle to adapt to the vehicle model test scenario. Simultaneously, corresponding settings parameters are replaced in the pedestrian simulation settings interface, and settings are synchronized. Alternatively, vehicle EMC testing is performed. Based on the vehicle model test scenario, the vehicle's anti-interference performance is tested to obtain the vehicle intelligent driving function test fixture. This involves fixing the vehicle to a rotating platform, and the vehicle running at a certain speed on the platform. For the non-displacement state, simulated pedestrians are replaced with traffic lights, such as red, green, yellow, left turn, and right turn lights, to test the anti-interference performance of intelligent driving under traffic recognition conditions. This is adapted to whole vehicle model test scenarios. At the same time, it can also be expanded into whole vehicle intelligent driving function test fixtures for application in non-vehicle electromagnetic compatibility environments, such as typical road scenarios. That is, when the traffic light is green and motor vehicles can drive, if a pedestrian, motor vehicle, or non-motor vehicle runs a red light, the function response status is tested. The typical road conditions for electromagnetic interference test the function response status when electromagnetic interference is applied. The typical road conditions for functional testing in non-electromagnetic compatibility laboratories test the function response status in functional testing scenarios in non-electromagnetic compatibility laboratories, i.e., human-vehicle interaction scenarios or road test scenarios.

[0085] In one feasible implementation, step S30 may include steps B11 to B12:

[0086] Step B11: Based on the verification results, replace the whole vehicle electromagnetic compatibility pedestrian test scenario to determine the whole vehicle model test scenario. The whole vehicle model test scenario includes vehicle driving test scenario, following vehicle test scenario and pre-collision test scenario.

[0087] It should be noted that the vehicle model test scenario reflects the characteristics of the scenario for conducting electromagnetic compatibility testing on intelligent driving vehicles.

[0088] It is understood that the vehicle simulation test scenario can simulate various situations that a vehicle may encounter in actual driving, including driving, following other vehicles, and pre-collision, thereby measuring the response status of the function under electromagnetic interference conditions, more accurately evaluating the performance of the intelligent driving system under electromagnetic interference, and ensuring the safety and functionality of the vehicle in actual use.

[0089] Step B12: Based on the vehicle model test scenario, detect the vehicle's anti-interference performance to obtain the vehicle intelligent driving function test fixture.

[0090] Understandably, the vehicle intelligent driving function testing fixture can test the response status of the function in advance, discover potential safety issues, and thus make improvements before the vehicle is actually put into use, thereby improving vehicle safety. It also allows for multiple tests in a controlled environment, reducing the need for real vehicle testing and lowering costs and time consumption.

[0091] In another feasible implementation, step S30 may include steps C11 to C12:

[0092] Step C11: Based on the vehicle model test scenario, detect traffic recognition conditions and determine the detection results. The traffic recognition conditions include braking recognition conditions and turn signal light recognition conditions.

[0093] It should be noted that the detection results reflect the characteristics of the intelligent driving vehicle's recognition ability in actual traffic environments.

[0094] Understandably, intelligent driving vehicles can efficiently and accurately detect multiple targets in complex traffic scenarios, thereby reducing traffic accidents and improving the safety of intelligent driving systems.

[0095] Step C12: Based on the detection results, package the vehicle intelligent driving function test fixture.

[0096] Understandably, the encapsulated testing fixture for intelligent driving functions of the entire vehicle is a valuable reference, easy to implement and expand, significantly improves reusability, adapts to various environments, ensures that the function remains responsive under electromagnetic interference and other interference conditions, and significantly improves the user experience.

[0097] This embodiment proposes a method for verifying a vehicle electromagnetic compatibility (EMC) pedestrian simulation system. The method involves acquiring simulated test scenario data, which is collected in a semi-anechoic chamber within the vehicle by constructing an EMC pedestrian test scenario. Based on the simulated test scenario data, the EMC functions of the vehicle are verified to determine the verification results. Based on the verification results, the EMC functions of the vehicle are expanded to determine the intelligent driving function test fixture, which is then applied to automatically match typical road conditions. This method solves the technical problem of how to efficiently verify the performance of an intelligent driving system in complex electromagnetic environments. Compared to existing technologies, this application constructs a simulated test scenario in a semi-anechoic chamber within the vehicle and collects data. It utilizes radiated interference transmitting antennas, antennas, cameras, and other equipment to simulate real traffic and electromagnetic environments, accurately collecting simulated test scenario data. Based on this data, the EMC functions of the vehicle are verified and the verification results are determined. Based on the verification results, functional items are expanded, and the intelligent driving function test fixture is determined, enabling it to automatically match typical road conditions. This significantly improves the efficiency and accuracy of performance testing of the intelligent driving system in complex electromagnetic environments, ensuring the safety and stability of the vehicle.

[0098] Based on the first embodiment of this application, in the second embodiment of this application, the same or similar content as the first embodiment can be referred to the above description, and will not be repeated hereafter.

[0099] In this embodiment, refer to Figure 3 , Figure 3 This is a flowchart illustrating Embodiment 2 of the verification method for the vehicle electromagnetic compatibility pedestrian simulation system of this application. Step S10 specifically includes steps S11 to S12:

[0100] Step S11: Obtain electromagnetic compatibility vehicle status data and pedestrian simulation control console data;

[0101] It should be noted that the electromagnetic compatibility vehicle status data reflects the characteristics of the vehicle's working state in the electromagnetic environment, and the pedestrian simulation control console data reflects the characteristics of the simulated pedestrian's motion state and control parameters.

[0102] It is understandable that, such as Figure 4 As shown, Figure 4 This is a schematic diagram of the pedestrian simulation control and monitoring console interface and structure of the vehicle electromagnetic compatibility pedestrian simulation system verification method of this application. It includes device simulation settings, camera video display and power switch functions. The device simulation settings include adding settings, saving settings, deleting settings, importing settings, random settings, starting operation and function reservation. The camera video display includes radar settings, pedestrian distance, camera settings, pedestrian speed, video screenshot button and video save button. The power switch function includes power switch, emergency stop switch and reset switch.

[0103] For ease of understanding, we will take the acquisition of electromagnetic compatibility vehicle status data and pedestrian simulation console data as an example, where the information acquisition device is the information acquisition module and the storage device is the memory.

[0104] In a semi-anechoic chamber for the entire vehicle, an electromagnetic compatibility (EMC) pedestrian test scenario is constructed, including a radiated interference transmitting antenna, a rotating beam, a camera, a ranging radar, a pedestrian base, a simulated pedestrian rail, a motor, a wall panel connector, and a pedestrian simulation console. Based on this EMC pedestrian test scenario, EMC vehicle status data is collected, and data from the pedestrian simulation console is collected under electromagnetic interference conditions. That is, data is collected through the pedestrian simulation console, which includes device simulation settings, camera video display, and power switch functions.

[0105] The system can simulate a pedestrian setting interface, allowing users to set the relative start position, end position, speed, and waiting time of pedestrians, thus determining the device's pedestrian setting information. This device's pedestrian setting includes functions such as adding settings, saving settings, deleting settings, importing settings, random settings, starting operation, and function reservation. Adding and deleting settings allow users to modify current settings parameters. Saving settings saves the current settings after parameter configuration and allows setting a save sequence number. Importing settings imports previously set parameters by retrieving saved sequence numbers. Random settings randomly configure pedestrians based on possible pedestrian actions. After setting and checking all settings, starting operation runs the system, with the motor driving the guide rail to drag the pedestrian base and pedestrian according to predetermined requirements. Function reservation allows users to reserve some unknown or user-specified modes and reserve soft switch settings.

[0106] The camera, radar video, and ranging interface can transmit current pedestrian and vehicle status information back to the control and monitoring console via a simulated pedestrian-installed camera and radar system. This information is used for testing, monitoring, judgment, and equipment self-calibration, and to determine camera information. The camera video display includes radar settings, pedestrian distance, camera settings, pedestrian speed, a video screenshot button, and a video save button. The radar and camera settings allow users to turn the camera on and off, and set the radar and camera angles. When the radar and camera are on, the display interface shows the pedestrian and vehicle distances, pedestrian and vehicle speeds, and real-time video information in real time. The video screenshot button allows users to capture the current video and vehicle speed and distance information with a single click. The video save button saves the test video recording from the start of the test until the save button is pressed.

[0107] Pedestrians can control the power switch via the monitoring station equipment to determine the power switch information. The power switch functions include a power switch, an emergency stop switch, and a reset switch. The power switch controls the on / off state of the equipment's power supply and is the power control switch for starting and stopping the equipment. The emergency stop switch is the equipment's safety control switch, cutting off the equipment's power supply in emergencies, such as when the pedestrian simulator derails or gets stuck, to ensure equipment safety. The reset switch is the equipment restart switch. When the equipment experiences software freezes or abnormal settings interface, pressing the reset switch will restart the equipment and return it to an initial state.

[0108] The pedestrian simulation console data is determined based on the device simulator settings, the camera information, and the power switch information.

[0109] In one feasible implementation, step S11 may include steps D11 to D13:

[0110] Step D11: Obtain electromagnetic interference status value, vehicle motion status data, equipment manipulator setting information, camera information, and power switch information;

[0111] It should be noted that the electromagnetic interference status value reflects the intensity of electromagnetic interference experienced by the vehicle in the electromagnetic environment, the vehicle motion status data reflects the characteristics of the vehicle's motion status during the test, the device simulator setting information reflects the characteristics of various motion modes and behavioral parameters of the simulated pedestrian, the camera information reflects the characteristics of the video stream and image data captured by the camera, and the power switch information reflects the characteristics of the device's power management status.

[0112] Step D12: Determine electromagnetic compatibility vehicle status data based on the electromagnetic interference status value and the vehicle motion status data;

[0113] It is understood that the electromagnetic interference status value can identify sensitive components and functions in the vehicle system that may be affected by electromagnetic interference, and assess the vehicle's ability to resist external electromagnetic interference in actual use. The vehicle motion status data can simulate the driving scenario of the vehicle under real traffic conditions, ensuring the accuracy and reliability of the test results.

[0114] Step D13: Determine pedestrian simulation console data based on the device simulator settings information, the camera information, and the power switch information.

[0115] It is understood that the device simulation settings information can provide more realistic and diverse test scenarios to evaluate the responsiveness and adaptability of the intelligent driving system. The camera information can provide visual information about the vehicle's surrounding environment to help the system identify pedestrians, vehicles, and traffic signs. The power switch information can maintain the safe and stable operation of the device during the test and prevent device damage or test data loss in abnormal situations.

[0116] In one feasible implementation, steps E11 to E14 may be included before step D13:

[0117] Step E11: Obtain new setting information, save setting information, delete setting information, import setting information, random setting information, start running information, function reserved information, radar setting information, camera setting information, pedestrian distance information, pedestrian speed information, video button information, power switch information, emergency stop switch information, and reset switch information;

[0118] It should be noted that the "Add Settings" information reflects the feature that users can add new parameter settings according to testing needs; the "Save Settings" information reflects the feature that the current setting parameters are saved; the "Delete Settings" information reflects the feature that users can delete settings that are no longer needed; the "Import Settings" information reflects the feature that users can import previously saved settings; the "Random Settings" information reflects the feature that setting parameters can be randomly generated; the "Start Running" information reflects the feature that all settings will be activated and used for actual testing; the "Function Reserved" information reflects the feature that setting space is reserved for newly added functions; the "Radar Settings" information reflects the feature that the vehicle's perception accuracy of the surrounding environment is accurate; the "Camera Settings" information reflects the feature that the quality and detail of the images captured by the camera are high; the "Pedestrian Distance" information reflects the feature that pedestrian positions are accurately measured; the "Pedestrian Speed" information reflects the feature that pedestrian dynamic behavior is monitored; the "Video Button" information reflects the feature that users can operate through the video interface; the "Power Switch" information reflects the feature that the device's operating status is controlled; the "Emergency Stop Switch" information reflects the feature that the power can be quickly cut off when danger is detected; and the "Reset Switch" information reflects the feature that the device is reset when the system malfunctions.

[0119] Step E12: Determine the device model setting information based on the newly added setting information, the saved setting information, the deleted setting information, the imported setting information, the random setting information, the start running information, and the function reserved information;

[0120] Understandably, the newly added settings information allows users to add new parameter settings according to test requirements; the saved settings information allows users to retain current settings parameters; the deleted settings information allows users to remove settings that are no longer needed; the imported settings information allows users to quickly restore previous settings; the random settings information can randomly generate settings parameters to simulate unpredictable pedestrian behavior; the start-up information indicates that all settings will be activated and used for actual testing; and the function reservation information allows for the expansion of existing functions, thereby improving the adaptability and flexibility of testing, enabling the system to quickly respond to different test scenarios and requirements. Furthermore, by simulating real pedestrian behavior through random settings and start-up information, the realism of the test is enhanced, and the performance and safety of the intelligent driving system in complex electromagnetic environments are significantly improved.

[0121] Step E13: Determine camera information based on the radar setting information, the camera setting information, the pedestrian distance information, the pedestrian speed information, and the video button information;

[0122] It is understood that the radar setting information can detect the position parameters of pedestrians or other obstacles in the simulated test, the camera setting information can identify the state parameters of different environments, the pedestrian distance information can accurately identify the actual distance between pedestrians and vehicles, thereby taking corresponding safety measures, the pedestrian speed information can monitor pedestrian dynamic behavior and respond accordingly, and the video button information can monitor and intervene in the test process in real time, thereby improving the flexibility and controllability of the test.

[0123] Step E14: Determine the power switch information based on the power switch information, the emergency stop switch information, and the reset switch information.

[0124] It is understood that the power switch information can characterize the switching status of the device control, ensuring that the device can start and stop normally. The emergency stop switch information can indicate that the power can be quickly cut off in an emergency to protect the safety of the equipment and personnel. The reset switch information indicates that the system can be reset to the initial state when the device malfunctions, ensuring the continuity of testing and the accuracy of data.

[0125] Step S12: Determine the simulation test scenario data based on the electromagnetic compatibility vehicle status data and the pedestrian simulation console data.

[0126] It is understood that the electromagnetic compatibility vehicle status data can characterize the specific functional test status of the system when the vehicle is undergoing electromagnetic compatibility testing, and the pedestrian simulation console data can characterize the status of pedestrians in the test environment. That is, the speed of pedestrians, the distance between them and the vehicle, and the actions of the vehicle can be transmitted back to the control and monitoring console through the installed camera and radar system, so as to analyze the test results and determine the simulated test scenario data.

[0127] For ease of understanding, we will take the determination of simulated test scenario data as an example, where the information acquisition device is the information acquisition module and the storage device is the memory.

[0128] In a semi-anechoic chamber for the whole vehicle, an electromagnetic compatibility (EMC) pedestrian test scenario is constructed, including a radiated interference transmitting antenna, a rotating beam, a camera, a ranging radar, a pedestrian base, a simulated pedestrian guide rail, a motor, a wall panel connector, and a pedestrian simulation control console. Simulated test scenario data is collected based on the whole vehicle EMC pedestrian test scenario, and subsequent processing is performed based on the simulated test scenario data.

[0129] This embodiment proposes a verification method for a vehicle electromagnetic compatibility (EMC) pedestrian simulation system. It acquires EMC vehicle status data and pedestrian simulation console data; and determines simulation test scenario data based on the EMC vehicle status data and the pedestrian simulation console data. This solves the technical problem of how to accurately conduct simulation tests in complex electromagnetic environments by setting up simulation test scenarios. Compared to existing technologies, this application constructs a simulation test scenario in a semi-anechoic chamber within the vehicle, utilizing a radiated interference transmitting antenna, a rotating antenna, a camera, and a ranging radar to accurately collect EMC vehicle status data and pedestrian simulation console data, thereby determining the simulation test scenario data. From the perspective of circuit principles and design logic, it is simple and convenient to implement, and the equipment packaging method is referable. It organically combines vehicle testing and intelligent driving functions, and the functionality of the test bench can be expanded according to the intelligent driving functions. The system has strong reusability and significantly improves the safety and reliability of intelligent driving systems in practical applications, reduces the need for real-vehicle testing, lowers costs and time consumption, and improves testing efficiency and accuracy.

[0130] It should be noted that the above examples are only for understanding this application and do not constitute a limitation on the vehicle electromagnetic compatibility pedestrian simulation system verification method of this application. Any simple modifications based on this technical concept are within the protection scope of this application.

[0131] This application also provides a vehicle electromagnetic compatibility pedestrian simulation system verification device; please refer to [reference needed]. Figure 5 The vehicle electromagnetic compatibility pedestrian simulation system verification device includes:

[0132] The acquisition module 10 is used to acquire simulated test scenario data, which is collected in a vehicle semi-anechoic chamber by setting up a vehicle electromagnetic compatibility pedestrian test scenario.

[0133] Processing module 20 is used to verify the electromagnetic compatibility of the vehicle based on the simulated test scenario data and determine the verification results;

[0134] The execution module 30 is used to expand the electromagnetic compatibility vehicle function items based on the verification results, determine the vehicle intelligent driving function test fixture, and automatically match typical road conditions using the vehicle intelligent driving function test fixture.

[0135] The acquisition module 10 is also used to acquire electromagnetic compatibility vehicle status data and pedestrian simulation console data;

[0136] The simulation test scenario data is determined based on the electromagnetic compatibility vehicle status data and the pedestrian simulation console data.

[0137] The acquisition module 10 is also used to acquire electromagnetic interference status values, vehicle motion status data, equipment and human setting information, camera information and power switch information;

[0138] Electromagnetic compatibility vehicle status data is determined based on the electromagnetic interference status value and the vehicle motion status data.

[0139] The pedestrian simulation console data is determined based on the device simulator settings, the camera information, and the power switch information.

[0140] The acquisition module 10 is also used to acquire new setting information, save setting information, delete setting information, import setting information, random setting information, start running information, function reserved information, radar setting information, camera setting information, pedestrian distance information, pedestrian speed information, video button information, power switch information, emergency stop switch information, and reset switch information;

[0141] The device model settings information is determined based on the newly added settings information, the saved settings information, the deleted settings information, the imported settings information, the random settings information, the start-up information, and the function reserved information;

[0142] Camera information is determined based on the radar setting information, camera setting information, pedestrian distance information, pedestrian speed information, and video button information;

[0143] The power switch information is determined based on the power switch information, the emergency stop switch information, and the reset switch information.

[0144] The processing module 20 is further configured to determine pedestrian simulation data based on the simulated test scenario data to simulate pedestrian movement conditions, wherein the pedestrian movement conditions include pedestrian uniform motion conditions, pedestrian acceleration motion conditions, and pedestrian deceleration motion conditions.

[0145] The electromagnetic compatibility (EMC) vehicle functions were verified based on the pedestrian simulation data. The EMC vehicle functions include emergency braking and cruise control.

[0146] The execution module 30 is further configured to replace the whole vehicle electromagnetic compatibility pedestrian test scenario with the verification result to determine the whole vehicle model test scenario, wherein the whole vehicle model test scenario includes vehicle driving test scenario, following test scenario and pre-collision test scenario;

[0147] Based on the test scenario of the vehicle model, the vehicle's anti-disturbance performance is tested to obtain the test fixture for the vehicle's intelligent driving function.

[0148] The execution module 30 is also used to detect traffic recognition conditions based on the vehicle model test scenario and determine the detection results. The traffic recognition conditions include braking recognition conditions and turn signal light recognition conditions.

[0149] Based on the test results, a testing fixture for the intelligent driving function of the whole vehicle is packaged.

[0150] The vehicle electromagnetic compatibility (EMC) pedestrian simulation system verification device provided in this application adopts the vehicle EMC pedestrian simulation system verification method in the above embodiments, which can solve the technical problem of how to perform vehicle EMC pedestrian simulation system verification more efficiently and accurately. Compared with the prior art, the beneficial effects of the vehicle EMC pedestrian simulation system verification device provided in this application are the same as the beneficial effects of the vehicle EMC pedestrian simulation system verification method provided in the above embodiments, and other technical features in the vehicle EMC pedestrian simulation system verification device are the same as the features disclosed in the methods of the above embodiments, and will not be repeated here.

[0151] This application provides a vehicle electromagnetic compatibility pedestrian simulation system verification device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the vehicle electromagnetic compatibility pedestrian simulation system verification method in the above embodiment 1.

[0152] The following is for reference. Figure 6This document illustrates a structural schematic diagram of a vehicle electromagnetic compatibility pedestrian simulation system verification device suitable for implementing embodiments of this application. The vehicle electromagnetic compatibility pedestrian simulation system verification device in this application embodiment may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Description), PMPs (Portable Media Players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 6 The vehicle electromagnetic compatibility pedestrian simulation system verification device shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0153] like Figure 6 As shown, the vehicle electromagnetic compatibility pedestrian simulation system verification device may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 1002 or the program loaded from the storage device 1003 into the random access memory (RAM) 1004. The RAM 1004 also stores various programs and data required for the operation of the vehicle electromagnetic compatibility pedestrian simulation system verification device. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to I / O interface 1006: input devices 1007 including, for example, touchscreens, touchpads, keyboards, mice, image sensors, microphones, accelerometers, gyroscopes, etc.; output devices 1008 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 1003 including, for example, magnetic tapes, hard disks, etc.; and communication devices 1009. Communication device 1009 allows the vehicle electromagnetic compatibility pedestrian simulation system verification equipment to exchange data wirelessly or via wired communication with other devices. Although the figure shows a vehicle electromagnetic compatibility pedestrian simulation system verification equipment with various systems, it should be understood that it is not required to implement or possess all the systems shown. More or fewer systems may be implemented alternatively.

[0154] Specifically, according to the embodiments disclosed in this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this application 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 a communication device, or installed from storage device 1003, or installed from ROM 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of the embodiments disclosed in this application.

[0155] The vehicle electromagnetic compatibility (EMC) pedestrian simulation system verification device provided in this application, employing the vehicle EMC pedestrian simulation system verification method described in the above embodiments, can solve the technical problem of how to perform vehicle EMC pedestrian simulation system verification more efficiently and accurately. Compared with the prior art, the beneficial effects of the vehicle EMC pedestrian simulation system verification device provided in this application are the same as those of the vehicle EMC pedestrian simulation system verification method provided in the above embodiments, and other technical features in this vehicle EMC pedestrian simulation system verification device are the same as those disclosed in the previous embodiment method, and will not be repeated here.

[0156] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0157] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0158] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, the computer-readable program instructions being used to execute the vehicle electromagnetic compatibility pedestrian simulation system verification method in the above embodiments.

[0159] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, 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 devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0160] The aforementioned computer-readable storage medium may be included in the vehicle electromagnetic compatibility pedestrian simulation system verification equipment; or it may exist independently and not be assembled into the vehicle electromagnetic compatibility pedestrian simulation system verification equipment.

[0161] The aforementioned computer-readable storage medium carries one or more programs. When these programs are executed by the vehicle electromagnetic compatibility pedestrian simulation system verification device, the device performs the following actions: acquires simulated test scenario data, which is collected in a semi-anechoic chamber under vehicle conditions by constructing a vehicle electromagnetic compatibility pedestrian test scenario; verifies the electromagnetic compatibility vehicle function based on the simulated test scenario data to determine the verification result; expands the electromagnetic compatibility vehicle function items based on the verification result to determine the vehicle intelligent driving function test fixture; and automatically matches typical road conditions using the vehicle intelligent driving function test fixture.

[0162] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a Local Area Network (LAN) or a Wide Area Network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0163] 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 this application. 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 the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can 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.

[0164] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.

[0165] The readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the above-described vehicle electromagnetic compatibility pedestrian simulation system verification method. This solves the technical problem of how to perform vehicle electromagnetic compatibility pedestrian simulation system verification more efficiently and accurately. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the vehicle electromagnetic compatibility pedestrian simulation system verification method provided in the above embodiments, and will not be repeated here.

[0166] The above description is only a part of the embodiments of this application and does not limit the patent scope of this application. All equivalent structural transformations made under the technical concept of this application and using the contents of the specification and drawings of this application, or direct / indirect applications in other related technical fields, are included in the patent protection scope of this application.

Claims

1. A verification method for a vehicle electromagnetic compatibility pedestrian simulation system, characterized in that, The method is applied to a vehicle electromagnetic compatibility pedestrian simulation system verification device, which includes: a rotating strand, a camera, a ranging radar, a pedestrian base, a simulated pedestrian guide rail, a motor, and a wall panel connector. The rotating strand is used to fix the test vehicle to obtain electromagnetic compatibility vehicle status data. The camera, ranging radar, pedestrian base, simulated pedestrian guide rail, and motor are used to assemble the simulated pedestrian manipulator. The wall panel connector is used to connect the simulated pedestrian manipulator to simulate pedestrian movement modes and obtain pedestrian simulation console data. The method includes: Data from simulated test scenarios is acquired by constructing a vehicle electromagnetic compatibility pedestrian test scenario in a semi-anechoic chamber for the entire vehicle. Based on the simulated test scenario data, the electromagnetic compatibility of the vehicle functions is verified and the verification results are determined. The verification results include the verification results of the emergency braking function and the verification results of the cruise function. Based on the verification results, the electromagnetic compatibility vehicle function items are expanded to determine the vehicle intelligent driving function test fixture, and the vehicle intelligent driving function test fixture is applied to automatically match typical road conditions. The steps for obtaining simulated test scenario data include: Acquire electromagnetic compatibility vehicle status data and pedestrian simulation console data; The simulation test scenario data is determined based on the electromagnetic compatibility vehicle status data and the pedestrian simulation console data.

2. The method as described in claim 1, characterized in that, The vehicle electromagnetic compatibility pedestrian simulation system verification device also includes: a radiated interference transmitting antenna, a switching device, and a pedestrian simulation control console; The radiated interference transmitting antenna is used to transmit antenna signals to obtain electromagnetic interference status values ​​during vehicle radiated immunity testing. The rotating strand is also used to limit the movement of the vehicle to obtain vehicle motion status data. The pedestrian simulation control console is used to connect to the wall panel connector to control the motor to simulate pedestrian movement mode and obtain device simulation settings information, camera information, and power switch information. The method further includes: Acquire electromagnetic interference status values, vehicle motion status data, equipment and manipulator settings information, camera information, and power switch information; Electromagnetic compatibility vehicle status data is determined based on the electromagnetic interference status value and the vehicle motion status data. The pedestrian simulation console data is determined based on the device simulator settings, the camera information, and the power switch information.

3. The method as described in claim 2, characterized in that, Before the step of determining the pedestrian simulation console data based on the device simulator settings information, the camera information, and the power switch information, the method further includes: Get new settings information, save settings information, delete settings information, import settings information, random settings information, start running information, function reserved information, radar settings information, camera settings information, pedestrian distance information, pedestrian speed information, video button information, power switch information, emergency stop switch information, and reset switch information; The device model settings information is determined based on the newly added settings information, the saved settings information, the deleted settings information, the imported settings information, the random settings information, the start-up information, and the function reserved information; Camera information is determined based on the radar setting information, camera setting information, pedestrian distance information, pedestrian speed information, and video button information; The power switch information is determined based on the power switch information, the emergency stop switch information, and the reset switch information.

4. The method as described in claim 1, characterized in that, The steps for verifying the electromagnetic compatibility (EMC) vehicle functionality based on the simulated test scenario data and determining the verification results include: Based on the simulated test scenario data, pedestrian motion conditions are simulated to determine pedestrian simulation data, which includes pedestrian uniform motion, pedestrian acceleration, and pedestrian deceleration. The electromagnetic compatibility (EMC) vehicle functions were verified based on the pedestrian simulation data. The EMC vehicle functions include emergency braking and cruise control.

5. The method as described in claim 1, characterized in that, The steps for determining the test fixture for intelligent driving functions of the whole vehicle based on the verification results include: Based on the verification results, the vehicle electromagnetic compatibility pedestrian test scenario is replaced to determine the vehicle model test scenario. The vehicle model test scenario includes vehicle driving test scenario, following vehicle test scenario and pre-collision test scenario. Based on the test scenario of the vehicle model, the vehicle's anti-disturbance performance is tested to obtain the test fixture for the vehicle's intelligent driving function.

6. The method as described in claim 1, characterized in that, The steps of obtaining the vehicle intelligent driving function test fixture by detecting the vehicle's anti-disturbance performance based on the vehicle model test scenario include: The detection results are determined based on the traffic recognition conditions detected in the test scenario of the whole vehicle model. The traffic recognition conditions include braking recognition conditions and turn signal light recognition conditions. Based on the test results, a testing fixture for the intelligent driving function of the whole vehicle is packaged.

7. The method as described in claim 1, characterized in that, The method is applied to a vehicle electromagnetic compatibility pedestrian simulation system verification device, the device comprising: The acquisition module is used to acquire simulated test scenario data, which is collected in a vehicle electromagnetic compatibility pedestrian test scenario built in a semi-anechoic chamber for the whole vehicle. The processing module is used to verify the electromagnetic compatibility of the vehicle based on the simulated test scenario data and determine the verification results, including the verification results of the emergency braking function and the verification results of the cruise function. The execution module is used to expand the electromagnetic compatibility vehicle function items based on the verification results, determine the vehicle intelligent driving function test fixture, and automatically match typical road conditions using the vehicle intelligent driving function test fixture. The acquisition module is also used to acquire electromagnetic compatibility vehicle status data and pedestrian simulation console data; The simulation test scenario data is determined based on the electromagnetic compatibility vehicle status data and the pedestrian simulation console data.

8. A vehicle electromagnetic compatibility pedestrian simulation system verification device, characterized in that, The device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the vehicle electromagnetic compatibility pedestrian simulation system verification method as described in any one of claims 1 to 6.

9. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, it implements the steps of the vehicle electromagnetic compatibility pedestrian simulation system verification method as described in any one of claims 1 to 6.

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