Verification method, device and equipment for vehicle electromagnetic compatibility pedestrian simulation system and storage medium

Abstract

The invention discloses a whole vehicle electromagnetic compatibility pedestrian simulation system verification method, device and equipment and a storage medium, and relates to the technical field of whole vehicle electromagnetic compatibility pedestrian simulation systems. The simulation test scene data is collected by building a whole vehicle electromagnetic compatibility pedestrian test scene in a whole vehicle semi-anechoic chamber; verifying an electromagnetic compatibility whole vehicle function based on the simulation test scene data to determine a verification result; and expanding an electromagnetic compatibility whole vehicle function item based on the verification result to determine a whole vehicle intelligent driving function test tool, and applying the whole vehicle intelligent driving function test tool to automatically match typical road working conditions. According to the invention, the simulation test scene is established in the whole vehicle semi-anechoic chamber, the data is collected, and the extended function items of the whole vehicle electromagnetic compatibility function are verified, so that the typical road working conditions are automatically matched, the performance test efficiency and accuracy of the intelligent driving system in a complex electromagnetic environment are remarkably improved, and the safety and stability of the vehicle are ensured.

Description

Technical Field

[0001] The present application relates to the technical field of electromagnetic compatibility pedestrian simulation systems for whole vehicles, and in particular to verification methods, devices, equipment and storage media for electromagnetic compatibility pedestrian simulation systems for whole vehicles. Background Art

[0002] With the development of automobile intelligence and networking, modern automobiles are developing from traditional functional applications to intelligence, networking and electrification. Major domestic traditional and new forces automobile manufacturers are developing automobile intelligent driving systems, such as adaptive cruise control, automatic emergency braking and lane departure warning. These various functional modes of intelligent driving need to be used in various complex environments, such as strong electromagnetic compatibility environments. Therefore, testing the vehicle's anti-electromagnetic interference performance is a must.

[0003] At present, the existing practice is to add intelligent auxiliary equipment for activating the car's adaptive cruise function and forward collision warning function in a semi-anechoic chamber. When the test conditions of the vehicle under test are running stably, the electromagnetic interference resistance test of the car's automatic driving assistance function is carried out according to the test method. By monitoring the signals and test phenomena of the vehicle under test, the electromagnetic safety of the smart car is evaluated at a graded level.

[0004] However, although the existing approach can model the overall system of the vehicle system, the existing modeling method has a slow simulation speed for the highly complex electromagnetic compatibility problems in the vehicle system, which leads to an extension of the automobile development cycle and cannot fully cover the needs of intelligent driving functions in complex electromagnetic environments. For example, when simulating vehicle operation in the whole vehicle electromagnetic compatibility laboratory, pedestrians cross the road in various directions, triggering the test requirements of automatic emergency braking, and automatic continuation of driving, that is, the test requirements of the function after pedestrians move away. Therefore, how to more efficiently and accurately verify the whole vehicle electromagnetic compatibility pedestrian simulation system has become an urgent problem to be solved.

[0005] The above contents are only used to assist in understanding the technical solution of the present application and do not constitute an admission that the above contents are prior art. Summary of the invention

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

[0007] To achieve the above objectives, the present application proposes a vehicle electromagnetic compatibility pedestrian simulation system verification method, the method comprising:

[0008] Acquire simulation test scenario data, wherein the simulation test scenario data is collected by building a whole vehicle electromagnetic compatibility pedestrian test scenario in a whole vehicle semi-anechoic chamber;

[0009] Verifying the electromagnetic compatibility of the vehicle function based on the simulated test scenario data to determine a verification result;

[0010] Based on the verification results, the electromagnetic compatibility vehicle function items are expanded to determine the vehicle intelligent driving function test tooling, and the vehicle intelligent driving function test tooling is used to automatically match typical road conditions.

[0011] In one embodiment, the method is applied to a whole vehicle electromagnetic compatibility pedestrian simulation system verification device, the whole vehicle electromagnetic compatibility pedestrian simulation system verification device comprising: a converter, a camera, a ranging radar, a pedestrian base, a simulated pedestrian guide rail, a motor and a wall panel connector;

[0012] The transfer unit 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 manual device, the wall plate connector is used to connect the simulated pedestrian manual device to simulate the pedestrian movement mode to obtain pedestrian simulation console data, and the method includes:

[0013] Obtain electromagnetic compatibility vehicle status data and pedestrian simulation console data;

[0014] The simulation test scenario data is determined based on the electromagnetic compatibility vehicle status data and the pedestrian simulation console data.

[0015] In one embodiment, the whole vehicle electromagnetic compatibility pedestrian simulation system verification device further includes: a radiation interference transmitting antenna, a converter and a pedestrian simulation console;

[0016] The radiation interference transmitting antenna is used to transmit antenna signals in the whole vehicle radiation immunity test to obtain the electromagnetic interference state value, the converter is also used to limit the movement of the whole vehicle to obtain the vehicle movement state data, the pedestrian simulation console is used to connect the wall panel connector to control the motor to simulate the pedestrian movement mode to obtain the device simulation setting information, camera information and power switch information, and the method also includes:

[0017] Obtain electromagnetic interference status value, vehicle motion status data, device model setting information, camera information and power switch information;

[0018] Determining electromagnetic compatibility vehicle state data based on the electromagnetic interference state value and the vehicle motion state data;

[0019] Pedestrian simulation console data is determined based on the device simulation setting information, the camera information and the power switch information.

[0020] In one embodiment, before the step of determining pedestrian simulation console data based on the device simulation setting information, the camera information and the power switch information, the step further includes:

[0021] Get new setting information, save setting information, delete setting information, import setting information, random setting information, start operation information, function reservation 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] Determine 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 operation information and the function reserved 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] Power switch information is determined based on the power switch information, the emergency stop switch information, and the reset switch information.

[0025] In one embodiment, the step of verifying the electromagnetic compatibility vehicle function based on the simulated test scenario data and determining the verification result includes:

[0026] Determine pedestrian simulation data by simulating pedestrian motion conditions based on the simulated test scenario data, wherein the pedestrian motion conditions include pedestrian uniform motion conditions, pedestrian acceleration motion conditions, and pedestrian deceleration motion conditions;

[0027] The electromagnetic compatibility whole vehicle function is verified based on the pedestrian simulation data to obtain a verification result, wherein the electromagnetic compatibility whole vehicle function includes an emergency braking function and a cruise function.

[0028] In one embodiment, the step of performing function expansion based on the verification result to determine the vehicle intelligent driving function test tooling includes:

[0029] Based on the verification result, the whole vehicle electromagnetic compatibility pedestrian test scene is replaced to determine the whole vehicle model test scene, and the whole vehicle model test scene includes a vehicle driving test scene, a vehicle following test scene and a pre-collision test scene;

[0030] Based on the whole vehicle model test scenario, the anti-disturbance performance of the whole vehicle is tested to obtain the whole vehicle intelligent driving function test tooling.

[0031] In one embodiment, the step of detecting the anti-disturbance performance of the whole vehicle based on the whole vehicle model test scenario to obtain the whole vehicle intelligent driving function test tooling includes:

[0032] Determine a detection result based on the vehicle model test scenario to detect traffic recognition conditions, wherein the traffic recognition conditions include brake recognition conditions and turn signal light recognition conditions;

[0033] The whole vehicle intelligent driving function test tooling is packaged based on the test results.

[0034] In addition, to achieve the above purpose, the present application also proposes a whole vehicle electromagnetic compatibility pedestrian simulation system verification device, the whole vehicle electromagnetic compatibility pedestrian simulation system verification device comprising:

[0035] An acquisition module is used to acquire simulation test scenario data, wherein the simulation test scenario data is collected by building a whole vehicle electromagnetic compatibility pedestrian test scenario in a whole vehicle semi-anechoic chamber;

[0036] A processing module, used to verify the electromagnetic compatibility of the vehicle function and determine the verification result based on the simulation test scenario data;

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

[0038] In addition, to achieve the above-mentioned objectives, the present application also proposes a whole vehicle electromagnetic compatibility pedestrian simulation system verification device, the device comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, the computer program being configured to implement the steps of the whole vehicle electromagnetic compatibility pedestrian simulation system verification method as described above.

[0039] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the vehicle electromagnetic compatibility pedestrian simulation system verification method as described above are implemented.

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

[0041] This embodiment proposes a whole vehicle electromagnetic compatibility pedestrian simulation system verification method, which obtains simulation test scenario data, and the simulation test scenario data is collected by building a whole vehicle electromagnetic compatibility pedestrian test scenario in a whole vehicle semi-anechoic chamber; based on the simulation test scenario data, the electromagnetic compatibility whole vehicle function is verified to determine the verification result; based on the verification result, the electromagnetic compatibility whole vehicle function items are expanded to determine the whole vehicle intelligent driving function test tooling, and the whole vehicle intelligent driving function test tooling is used to automatically match typical road conditions. This application verifies the electromagnetic compatibility function of the whole vehicle by building a simulation test scenario in a whole vehicle semi-anechoic chamber and collecting data, and expands the function items based on the verification results, thereby determining the whole vehicle intelligent driving function test tooling, and realizing automatic matching of typical road conditions, which significantly improves the performance test efficiency and accuracy of the intelligent driving system in a complex electromagnetic environment, and ensures the safety and stability of the vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0043] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0044] Figure 1 A flow chart of the first embodiment of the vehicle electromagnetic compatibility pedestrian simulation system verification method provided in this application;

[0045] Figure 2 For this application, the vehicle electromagnetic compatibility pedestrian simulation system verification method and the vehicle radiation immunity and pedestrian simulation system test layout diagram;

[0046] Figure 3 A flow chart of the second embodiment of the vehicle electromagnetic compatibility pedestrian simulation system verification method provided in this application;

[0047] Figure 4 This is the pedestrian simulation control monitoring console interface and structural diagram of the vehicle electromagnetic compatibility pedestrian simulation system verification method for 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 the embodiment of the present 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 embodiment of the present application.

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

[0051] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0052] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0053] The main solution of the embodiment of the present application is: obtaining simulation test scenario data, which is collected by building a whole vehicle electromagnetic compatibility pedestrian test scene in a whole vehicle semi-anechoic chamber; verifying the electromagnetic compatibility whole vehicle function based on the simulation test scenario data to determine the verification result; based on the verification result, expanding the electromagnetic compatibility whole vehicle function items to determine the whole vehicle intelligent driving function test tooling, and applying the whole vehicle intelligent driving function test tooling to automatically match typical road conditions.

[0054] In this embodiment, for the convenience of description, the following description is made by taking the whole vehicle electromagnetic compatibility pedestrian simulation system verification device as the execution subject.

[0055] Although the existing technology can model the overall system of the vehicle system, the existing modeling method has a slow simulation speed for the highly complex electromagnetic compatibility issues in the vehicle system, which extends the vehicle development cycle and cannot fully cover the needs of intelligent driving functions in complex electromagnetic environments. For example, when simulating vehicle operation in the whole vehicle electromagnetic compatibility laboratory, pedestrians walk across the road in various directions, triggering the test requirements of automatic emergency braking, and automatic continuation of driving, that is, the test requirements of the function after pedestrians move away.

[0056] The present application provides a solution for acquiring simulation test scenario data, wherein the simulation test scenario data is collected by building a whole vehicle electromagnetic compatibility pedestrian test scene in a whole vehicle semi-anechoic chamber; the electromagnetic compatibility whole vehicle function is verified based on the simulation test scenario data to determine a verification result; based on the verification result, the electromagnetic compatibility whole vehicle function items are expanded to determine a whole vehicle intelligent driving function test tooling, and the whole vehicle intelligent driving function test tooling is applied to automatically match typical road conditions.

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

[0058] Based on this, the embodiment of the present application provides a vehicle electromagnetic compatibility pedestrian simulation system verification method, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the vehicle electromagnetic compatibility pedestrian simulation system verification method of the present application.

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

[0060] Step S10, obtaining simulation test scene data, wherein the simulation test scene data is collected by building a whole vehicle electromagnetic compatibility pedestrian test scene in a whole vehicle semi-anechoic chamber;

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

[0062] It is understandable that if Figure 2 As shown, Figure 2 This is the whole vehicle electromagnetic compatibility pedestrian simulation system verification method and the whole vehicle radiation immunity and pedestrian simulation system test layout diagram of the present application, including a radiation interference transmitting antenna, a converter, 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 radiation interference transmitting antenna is used to transmit antenna signals in the whole vehicle radiation immunity test to obtain electromagnetic interference status values, the converter is used to fix the test vehicle to obtain electromagnetic compatibility vehicle status data, the converter is also used to limit the whole vehicle movement to obtain vehicle motion status data, the camera, the ranging radar, the pedestrian base, the simulated pedestrian guide rail and the motor are used to assemble a simulated pedestrian device, the wall panel connector is used to connect the simulated pedestrian device to simulate pedestrian motion mode to obtain pedestrian simulation console data, and the pedestrian simulation console is used to connect the wall panel connector to control the motor to simulate pedestrian motion mode to obtain device model setting information, camera information and power switch information.

[0063] For ease of understanding, the acquisition of simulated test scenario data is taken as an example for explanation, wherein the information acquisition device is an information acquisition module, and the storage device is a memory.

[0064] In a semi-anechoic chamber for the whole vehicle, an electromagnetic compatibility pedestrian test scene for the whole vehicle is built, including a radiation interference transmitting antenna, a converter, a camera, a ranging radar, a pedestrian base, a simulated pedestrian guide rail, a motor, a wall panel connector and a pedestrian simulation console. Based on the electromagnetic compatibility pedestrian test scene for the whole vehicle, simulated test scene data is collected, and subsequent processing is performed based on the simulated test scene data. Among them, the radiation interference transmitting antenna is a radiation immunity test transmitting antenna for the whole vehicle, that is, a conventional antenna for electromagnetic compatibility test of the whole vehicle, which can simulate the electromagnetic interference environment, and then simulate the pedestrian state, that is, test the movable pedestrian tooling, and drive the guide rail belt through the operation of the motor, thereby driving the simulated pedestrian, which can run at a uniform speed, acceleration and deceleration or away from the test vehicle, simulating the triggering of the whole vehicle It has emergency braking function and cruise mode triggering function. At the same time, it can simulate pedestrians with cameras and ranging radars on their heads, torsos and legs. It can simulate the speed of pedestrians, the distance between pedestrians and vehicles and the movements of vehicles, such as braking, vehicle starting and light changes, and then transmit them to the pedestrian simulation control monitoring console through optical fiber to provide control parameters and test result analysis. The pedestrian base is to fix the simulated pedestrian to the pedestrian guide belt. The movement of the guide belt drives the pedestrian to move. The simulated pedestrian guide is the track for installing pedestrians and guide belts. The motor can rotate forward and reverse to control the pedestrian to drive towards or away from the vehicle to be tested. The wall panel connector can bridge the connection line channel between the darkroom of the whole vehicle and the control room outside. The pedestrian simulation console can control the setting of the motor and various movement modes of the simulated pedestrian.

[0065] Step S20, verifying the electromagnetic compatibility of the vehicle function based on the simulation test scenario data to determine the verification result;

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

[0067] It can be understood that the verification results include emergency braking function verification results and cruise function verification results, 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] In addition, it should be noted that smart 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. When testing the cruise function, the human form on the guide rail platform can be replaced with the form of a car to achieve a simulation test.

[0069] For ease of understanding, the following description is given by taking determining a verification result as an example, wherein the information collection device is an information collection module, the storage device is a memory, and the processing device is a data analysis module.

[0070] By building a whole vehicle electromagnetic compatibility pedestrian test scene in a whole vehicle semi-anechoic chamber, simulated test scene data is obtained, the electromagnetic compatibility whole vehicle function is verified based on the simulated test scene data to determine the verification result, and subsequent processing is performed based on the verification result.

[0071] The system emergency braking function is tested by building an electromagnetic compatibility pedestrian test scene for the whole vehicle in a semi-anechoic chamber. That is, the system uses radar to measure the distance to the vehicle in front or an obstacle to obtain simulated test scene data. The simulated test scene data is analyzed by a data analysis module. The measured distance, warning distance and safety distance in the simulated test scene data are compared to verify the emergency braking function. When the measured distance is less than the warning distance, an alarm is given. When the measured distance is less than the safety distance, the system will start even if the driver does not have time to step on the brake pedal, so that the car will brake automatically to ensure safe travel, thereby obtaining a verification result. If the verification is successful or failed, subsequent processing is performed based on the verification result.

[0072] In a semi-anechoic chamber, an electromagnetic compatibility pedestrian test scenario is built to test the system cruise function, i.e., adaptive cruise control. According to the information detected by the vehicle distance sensor and the vehicle's driving route information determined by the vehicle speed sensor and yaw angular velocity sensor, the simulated test scenario data is obtained. The vehicle distance sensor uses a microwave radar or a distance radar to determine whether there is a vehicle ahead in the same lane as the vehicle. When there is no vehicle ahead in the same lane, the vehicle drives at the set speed. When a vehicle appears ahead, the vehicle drives at a speed lower than the set speed to control the reasonable distance between the vehicle and the ahead vehicle, i.e., verify the system cruise function. At this time, four typical functions are verified, such as verifying that when there is no vehicle ahead, the vehicle will be in normal cruise control. In the navigation driving state, the vehicle travels at the speed set by the driver. The driver only needs to control the direction, or verify that when a target vehicle appears in front of the ACC vehicle, if the speed of the target vehicle is less than that of the ACC vehicle, the ACC vehicle will automatically start to decelerate to ensure that the distance between the two vehicles is the set safety distance, or verify that when the distance between the two vehicles is equal to the safety distance, follow-up control is adopted, that is, the vehicle travels at the same speed as the target vehicle, or verify that when the target vehicle in front changes lanes, or the main vehicle changes lanes so that there is no vehicle in front of the main vehicle, the ACC system will accelerate the main vehicle to restore the main vehicle to the set driving speed, thereby obtaining a verification result, such as verification success or verification failure, and performing subsequent processing based on the verification result.

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

[0074] Step A11, simulating pedestrian motion conditions based on the simulated test scenario data to determine pedestrian simulation data, wherein 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 the movement state of the pedestrian in the simulation environment.

[0076] It is understandable 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 movement behavior of pedestrians in a specific environment, such as obstacle avoidance, path selection, speed change, and interaction in a group, such as following, avoiding, and forming a queue.

[0077] Step A12, verifying the electromagnetic compatibility of the vehicle function based on the pedestrian simulation data to obtain a verification result, wherein the electromagnetic compatibility of the vehicle function includes an emergency braking function and a cruise function.

[0078] It can be understood that based on the pedestrian simulation data, the position and status of pedestrians can be predicted more accurately, which can help the intelligent driving system better respond to pedestrian behavior under electromagnetic interference, improve the safety and reliability of the system, save costs and improve development efficiency.

[0079] Step S30, based on the verification result, the electromagnetic compatibility vehicle function items are expanded to determine the vehicle intelligent driving function test tooling, and the vehicle intelligent driving function test tooling is used to automatically match typical road conditions.

[0080] It should be noted that the vehicle intelligent driving function test tooling reflects the characteristics of the test environment that adapts to simulated traffic environments and actual road conditions.

[0081] It can be understood that the application of the whole vehicle intelligent driving function test tooling can simulate various traffic environments and conditions, comprehensively evaluate the performance of the intelligent driving system, and significantly improve the accuracy of the test results.

[0082] In addition, 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 to test the functional response status in autonomous driving when the traffic light is green and the motor vehicle can drive, if a pedestrian, motor vehicle or non-motor vehicle runs a red light. The typical road conditions for electromagnetic interference are to test the functional response status when electromagnetic interference is applied. The typical road conditions for functional testing in non-electromagnetic compatibility laboratories are to test the functional response status in functional testing scenarios in non-electromagnetic compatibility laboratories, i.e., human-vehicle interaction scenarios, or road test scenarios.

[0083] For ease of understanding, the example of obtaining the vehicle intelligent driving function test tooling is used for explanation, wherein the information collection device is the information collection module, the storage device is the memory, and the execution device is the execution module.

[0084] The information collection module obtains the verification result, and based on the verification result, replaces the whole vehicle electromagnetic compatibility pedestrian test scene to determine the whole vehicle model test scene. The whole vehicle model test scene includes vehicle driving test scene, vehicle following test scene and pre-collision test scene, that is, the simulated pedestrian is replaced with a whole vehicle model, and the test conditions of vehicle driving, vehicle following, pre-collision and other scenes are simulated. The signal light system such as brakes and turn signals is installed on the simulated vehicle to adapt to the whole vehicle model test scene. At the same time, the corresponding setting parameters are replaced in the pedestrian simulation setting interface, and the settings are synchronized, or the whole vehicle electromagnetic compatibility test is performed. The anti-interference performance of the whole vehicle is detected based on the whole vehicle model test scene to obtain the whole vehicle intelligent driving function test tooling, that is, the whole vehicle is tied to the stock and fixed, and the whole vehicle runs at a certain speed on the stock. For the no-displacement state, the simulated pedestrians are replaced with traffic lights, such as red light, green light, yellow light, left turn light, and right turn light, to test the anti-interference performance of traffic recognition conditions during intelligent driving, and adapt to the whole vehicle model test scenario. At the same time, the whole vehicle intelligent driving function test tooling can also be expanded and applied in non-whole vehicle electromagnetic compatibility environments, such as implementation in typical road scenarios, that is, when the traffic light is green and motor vehicles can drive, if there are pedestrians, motor vehicles or non-motor vehicles running a red light, the functional response state is tested. The typical road condition of electromagnetic interference is to test the functional response state when electromagnetic interference is applied. The typical road condition of functional testing in non-electromagnetic compatibility laboratories is to test the functional response state in functional test scenarios in non-electromagnetic compatibility laboratories, that is, human-vehicle interaction scenarios, or road test scenarios.

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

[0086] Step B11, replacing the whole vehicle electromagnetic compatibility pedestrian test scene based on the verification result to determine the whole vehicle model test scene, the whole vehicle model test scene includes a vehicle driving test scene, a vehicle following test scene and a pre-collision test scene;

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

[0088] It can be understood that the whole vehicle simulation test scenario can simulate various situations that the vehicle may encounter in actual driving, including vehicle driving, following and pre-collision, so as to measure the response state of the function under electromagnetic interference conditions, more accurately evaluate the performance of the intelligent driving system under electromagnetic interference, and ensure the safety and functionality of the vehicle in actual use.

[0089] Step B12, detecting the anti-disturbance performance of the whole vehicle based on the whole vehicle model test scenario to obtain a whole vehicle intelligent driving function test tooling.

[0090] It can be understood that based on the whole vehicle intelligent driving function test tooling, the response status of the function can be tested in advance, and potential safety issues can be discovered, so that improvements can be made before the vehicle is actually put into use, thereby improving the safety of the vehicle and allowing a variety of tests to be performed in a controlled environment, reducing the need for actual vehicle testing and reducing costs and time consumption.

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

[0092] Step C11, detecting a traffic recognition condition based on the vehicle model test scenario to determine a detection result, wherein the traffic recognition condition includes a brake recognition condition and a turn signal light recognition condition;

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

[0094] It is understandable that intelligent driving vehicles can achieve efficient and accurate detection of multiple targets in complex traffic scenarios and obtain detection results, thereby reducing traffic accidents and improving the safety of intelligent driving systems.

[0095] Step C12: packaging the vehicle intelligent driving function test tooling based on the test results.

[0096] It is understandable that the test tooling for encapsulating the whole vehicle's intelligent driving functions is of reference value, easy to implement and expand, significantly improves reusability, adapts to various environments, ensures that functions remain responsive under the constraints of electromagnetic interference and other interference conditions, and significantly improves user experience.

[0097] The present embodiment proposes a whole vehicle electromagnetic compatibility pedestrian simulation system verification method, obtains simulation test scene data, and the simulation test scene data is collected by building a whole vehicle electromagnetic compatibility pedestrian test scene in a whole vehicle semi-anechoic chamber; based on the simulation test scene data, the electromagnetic compatibility whole vehicle function is verified to determine the verification result; based on the verification result, the electromagnetic compatibility whole vehicle function items are expanded to determine the whole vehicle intelligent driving function test tooling, and the whole vehicle intelligent driving function test tooling is used to automatically match the typical road conditions. The technical problem of how to efficiently verify the performance of the intelligent driving system in a complex electromagnetic environment is solved. Compared with the prior art, the present application builds a simulation test scene in a whole vehicle semi-anechoic chamber and collects data, uses radiation interference transmitting antennas, converters, cameras and other equipment to simulate real traffic and electromagnetic environments, and accurately collects simulation test scene data, thereby verifying the electromagnetic compatibility whole vehicle function based on these data and determining the verification result, expanding the function items based on the verification result, and determining the whole vehicle intelligent driving function test tooling, so that it can automatically match the typical road conditions, significantly improving the performance test efficiency and accuracy of the intelligent driving system in a complex electromagnetic environment, and ensuring the safety and stability of the vehicle.

[0098] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction and will not be repeated later.

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

[0100] Step S11, obtaining electromagnetic compatibility vehicle status data and pedestrian simulation console data;

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

[0102] It is understandable that if Figure 4 As shown, Figure 4 This is the pedestrian simulation control monitoring console interface and structural schematic diagram of the vehicle electromagnetic compatibility pedestrian simulation system verification method of this application, including device model settings, camera video display and power switch functions. The device model settings include new settings, save settings, delete settings, import settings, random settings, start 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, the acquisition of electromagnetic compatibility vehicle status data and pedestrian simulation console data is taken as an example for explanation, wherein the information acquisition device is an information acquisition module, and the storage device is a memory.

[0104] By building a whole vehicle electromagnetic compatibility pedestrian test scene in a whole vehicle semi-anechoic chamber, including a radiation interference transmitting antenna, a converter, a camera, a ranging radar, a pedestrian base, a simulated pedestrian guide rail, a motor, a wall panel connector and a pedestrian simulation console, electromagnetic compatibility vehicle status data is collected based on the whole vehicle electromagnetic compatibility pedestrian test scene, and pedestrian simulation console data is collected under the state of electromagnetic interference, that is, the data is collected through the pedestrian simulation console, wherein the pedestrian simulation console includes device model settings, camera video display and power switch functions.

[0105] The pedestrian setting interface can be simulated to set the pedestrian's relative starting position, ending position, speed and pedestrian waiting time, and determine the device model setting information, wherein the device model setting includes adding settings, saving settings, deleting settings, importing settings, random settings, starting operation and function reservation, the adding settings and deleting settings can change the current setting parameters, the saving settings can save the current settings after the parameters are set, and the saving sequence number can be set, the importing settings can import the previously set parameters by importing the saved sequence number, the random settings can randomly set pedestrians, based on some actions that may occur in the behavior. After setting and checking the settings, the starting operation can run the system, the motor drives the guide rail to drag the pedestrian base and pedestrians, and runs according to the established setting requirements, the function reservation can reserve some unknown or user-specified modes, and reserve soft switch setting positions.

[0106] The camera, radar video and ranging interface can simulate the camera and radar system installed on pedestrians to transmit the current pedestrian and vehicle status information back to the control and monitoring console for test monitoring, judgment and equipment self-calibration to determine the camera information. The camera video display includes radar settings, pedestrian distance, camera settings, pedestrian speed, video screenshot button and video save button. The radar settings and camera settings can be used to turn the camera on and off, set the radar and camera angles, etc. After turning on the radar and camera, the distance between the pedestrian and the vehicle, the pedestrian and the vehicle speed and real-time video information are displayed in real time on the display interface, that is, the pedestrian distance and the pedestrian speed are displayed. The video screenshot button can capture the current video and the speed and distance information with one click. The video save button saves the test video recording from the start of the test to the time when the save button is pressed.

[0107] Pedestrians can determine the power switch information by controlling the monitoring station equipment control switch, wherein the power switch function includes a power switch, an emergency stop switch and a reset switch. The power switch is used to control the on and off of the power of the equipment and is the power control switch for starting and shutting down the equipment. The emergency stop switch is the safety control switch of the equipment. It cuts off the power of the equipment in an emergency, such as when the pedestrian simulator is off the track or stuck, to ensure the safety of the equipment. The reset switch is the switch to restart the equipment. When the device software is stuck, the setting interface is abnormal, etc., press the reset switch to restart the device and put the device in the initialization state.

[0108] Pedestrian simulation console data is determined based on the device simulation setting information, the camera information and the power switch information.

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

[0110] Step D11, obtaining electromagnetic interference state value, vehicle motion state data, device model setting information, camera information and power switch information;

[0111] It should be noted that the electromagnetic interference state value reflects the characteristics of the intensity of electromagnetic interference received by the vehicle in the electromagnetic environment, the vehicle motion state data reflects the characteristics of the vehicle's motion state during the test, the device simulation setting information reflects the characteristics of various motion modes and behavioral parameters of simulated pedestrians, 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 power management state of the device.

[0112] Step D12, determining electromagnetic compatibility vehicle state data based on the electromagnetic interference state value and the vehicle motion state data;

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

[0114] Step D13, determining pedestrian simulation console data based on the device simulation setting information, the camera information and the power switch information.

[0115] It can be understood that the device model setting 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 of the vehicle's surroundings to help the system identify pedestrians, vehicles and traffic signs. The power switch information can maintain the safe and stable operation of the equipment during the test and prevent equipment damage or test data loss under abnormal circumstances.

[0116] In a feasible implementation manner, step D13 may include steps E11 to E14:

[0117] Step E11, obtaining new setting information, saving setting information, deleting setting information, importing setting information, random setting information, start operation information, function reservation 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 newly added setting information reflects the feature that the user can add new parameter settings according to the test requirements, the saved setting information reflects the feature of saving the current setting parameters, the deleted setting information reflects the feature of allowing the user to delete the settings that are no longer needed, the imported setting information reflects the feature of allowing the user to import the previously saved settings, the random setting information reflects the feature of being able to randomly generate setting parameters, the start operation information reflects the feature that all settings will be activated and used for actual testing, the function reservation information reflects the feature of reserving setting space for new functions added for expansion, the radar setting information reflects the feature of the vehicle's perception accuracy of the surrounding environment, the camera setting information reflects the feature of the quality and details of the image captured by the camera, the pedestrian distance information reflects the feature of accurately measuring the position of pedestrians, the pedestrian speed information reflects the feature of monitoring the dynamic behavior of pedestrians, the video button information reflects the feature of allowing the user to operate through the video interface, the power switch information reflects the feature of controlling the operating status of the equipment, the emergency stop switch information reflects the feature of being able to quickly cut off the power when a danger is detected, and the reset switch information reflects the feature of resetting the equipment when an abnormality occurs in the system.

[0119] Step E12, determining 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 operation information and the function reserved information;

[0120] It can be understood that the newly added setting information allows the user to add new parameter settings according to the test requirements, the saved setting information allows the user to retain the current setting parameters, the deleted setting information allows the user to remove settings that are no longer needed, the imported setting information enables the user to quickly restore the previous setting status, the random setting information can randomly generate setting parameters to simulate unpredictable pedestrian behavior, the start operation information indicates that all settings will be activated and used for actual testing, and the function reservation information allows the expansion of existing function items, thereby improving the adaptability and flexibility of the test, enabling the system to quickly respond to different test scenarios and requirements, and through random settings and start operation information, simulating real pedestrian behavior, enhancing the authenticity of the test, and significantly improving the performance and safety of the intelligent driving system in complex electromagnetic environments.

[0121] Step E13, 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;

[0122] It can be understood that the radar setting information can detect the position parameters of pedestrians or other obstacles in the simulation 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, so as to take corresponding safety measures, the pedestrian speed information can monitor the dynamic behavior of pedestrians and respond, and the video button information can monitor and intervene in the test process in real time, so as to improve the flexibility and controllability of the test.

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

[0124] It can be understood that the power switch information can represent the switch status of the device control to ensure that the device can be started and shut down normally. The emergency stop switch information can indicate that the power supply can be quickly cut off in an emergency to protect the safety of equipment and personnel. The reset switch information indicates that the system can be reset and restored to the initial state when an abnormality occurs in the device, thereby ensuring the continuity of the test and the accuracy of the data.

[0125] Step S12, determining simulation test scenario data based on the electromagnetic compatibility vehicle state data and the pedestrian simulation console data.

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

[0127] For ease of understanding, the following description is given by taking the determination of simulation test scenario data as an example, wherein the information collection device is an information collection module, and the storage device is a memory.

[0128] By building a whole vehicle electromagnetic compatibility pedestrian test scene in a whole vehicle semi-anechoic chamber, including a radiation interference transmitting antenna, a converter, a camera, a ranging radar, a pedestrian base, a simulated pedestrian guide rail, a motor, a wall panel connector and a pedestrian simulation console, simulated test scene data is collected based on the whole vehicle electromagnetic compatibility pedestrian test scene, and subsequent processing is performed based on the simulated test scene data.

[0129] This embodiment proposes a whole vehicle electromagnetic compatibility pedestrian simulation system verification method, which obtains electromagnetic compatibility vehicle status data and pedestrian simulation console data; and determines simulation test scene data based on the electromagnetic compatibility vehicle status data and the pedestrian simulation console data. It solves the technical problem of how to arrange simulation test scenes in complex electromagnetic environments and accurately conduct simulation tests. Compared with the prior art, this application builds a simulation test scene in a semi-anechoic chamber of the whole vehicle, and uses radiation interference transmitting antennas, converters, cameras and ranging radars to accurately collect electromagnetic compatibility vehicle status data and pedestrian simulation console data, thereby determining simulation test scene data. From the perspective of circuit principles and design logic, it is simple and convenient to implement, and the device packaging method is referenceable. It also organically combines whole vehicle testing and intelligent driving functions. At the same time, the functional expansion of the test bench can be expanded according to the intelligent driving function. The system has strong reusability, which significantly improves the safety and reliability of the intelligent driving system in practical applications, reduces the demand for real vehicle testing, reduces costs and time consumption, and improves test efficiency and accuracy.

[0130] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the vehicle electromagnetic compatibility pedestrian simulation system verification method of the present application. More simple transformations based on this technical concept are all within the protection scope of the present application.

[0131] This application also provides a vehicle electromagnetic compatibility pedestrian simulation system verification device, please refer to Figure 5 The whole vehicle electromagnetic compatibility pedestrian simulation system verification device comprises:

[0132] An acquisition module 10 is used to acquire simulation test scenario data, wherein the simulation test scenario data is collected by building a whole vehicle electromagnetic compatibility pedestrian test scenario in a whole vehicle semi-anechoic chamber;

[0133] A processing module 20, configured to verify the electromagnetic compatibility of the vehicle function and determine a verification result based on the simulation test scenario data;

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

[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 obtain electromagnetic interference state value, vehicle motion state data, device model setting information, camera information and power switch information;

[0138] Determining electromagnetic compatibility vehicle state data based on the electromagnetic interference state value and the vehicle motion state data;

[0139] Pedestrian simulation console data is determined based on the device simulation setting information, 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 operation information, function reservation 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] Determine 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 operation information and the function reserved information;

[0142] 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;

[0143] 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 used to simulate pedestrian motion conditions based on the simulated test scenario data to determine pedestrian simulation data, wherein the pedestrian motion conditions include pedestrian uniform motion conditions, pedestrian acceleration motion conditions, and pedestrian deceleration motion conditions;

[0145] The electromagnetic compatibility whole vehicle function is verified based on the pedestrian simulation data to obtain a verification result, wherein the electromagnetic compatibility whole vehicle function includes an emergency braking function and a cruise function.

[0146] The execution module 30 is further used to replace the whole vehicle electromagnetic compatibility pedestrian test scene based on the verification result to determine the whole vehicle model test scene, and the whole vehicle model test scene includes a vehicle driving test scene, a vehicle following test scene and a pre-collision test scene;

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

[0148] The execution module 30 is further used to detect the traffic recognition working condition based on the vehicle model test scenario to determine the detection result, and the traffic recognition working condition includes a brake recognition working condition and a turn signal light recognition working condition;

[0149] The whole vehicle intelligent driving function test tooling is packaged based on the test results.

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

[0151] The present application provides a whole vehicle electromagnetic compatibility pedestrian simulation system verification device, the whole vehicle electromagnetic compatibility pedestrian simulation system verification device 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 so that the at least one processor can execute the whole vehicle electromagnetic compatibility pedestrian simulation system verification method in the above-mentioned embodiment one.

[0152] Reference below Figure 6, which shows a schematic diagram of the structure of a whole vehicle electromagnetic compatibility pedestrian simulation system verification device suitable for implementing the embodiment of the present application. The whole vehicle electromagnetic compatibility pedestrian simulation system verification device in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 6 The vehicle electromagnetic compatibility pedestrian simulation system verification equipment shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0153] like Figure 6 As shown, the whole vehicle electromagnetic compatibility pedestrian simulation system verification device may include a processing device 1001 (such as a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM: Read Only Memory) 1002 or the program loaded from the storage device 1003 to the random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the whole vehicle electromagnetic compatibility pedestrian simulation system verification device are also stored. The processing device 1001, ROM1002 and RAM1004 are connected to each other through a bus 1005. The input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 can allow the whole vehicle electromagnetic compatibility pedestrian simulation system verification device to communicate wirelessly or wired with other devices to exchange data. Although the figure shows a whole vehicle electromagnetic compatibility pedestrian simulation system verification device with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have alternatively.

[0154] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0155] The whole vehicle electromagnetic compatibility pedestrian simulation system verification device provided by the present application adopts the whole vehicle electromagnetic compatibility pedestrian simulation system verification method in the above embodiment, which can solve the technical problem of how to verify the whole vehicle electromagnetic compatibility pedestrian simulation system more efficiently and accurately. Compared with the prior art, the beneficial effects of the whole vehicle electromagnetic compatibility pedestrian simulation system verification device provided by the present application are the same as the beneficial effects of the whole vehicle electromagnetic compatibility pedestrian simulation system verification method provided by the above embodiment, and the other technical features in the whole vehicle electromagnetic compatibility pedestrian simulation system verification device are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0156] It should be understood that the various parts disclosed in this application can be implemented by 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 one or more embodiments or examples in a suitable manner.

[0157] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0158] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the vehicle electromagnetic compatibility pedestrian simulation system verification method in the above-mentioned embodiment.

[0159] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. 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 combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0160] The above-mentioned computer-readable storage medium may be included in the whole vehicle electromagnetic compatibility pedestrian simulation system verification device; or it may exist independently without being assembled into the whole vehicle electromagnetic compatibility pedestrian simulation system verification device.

[0161] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the whole vehicle electromagnetic compatibility pedestrian simulation system verification equipment, the whole vehicle electromagnetic compatibility pedestrian simulation system verification equipment: obtains simulation test scene data, and the simulation test scene data is collected by building a whole vehicle electromagnetic compatibility pedestrian test scene in a whole vehicle semi-anechoic chamber; verifies the electromagnetic compatibility whole vehicle function based on the simulation test scene data to determine the verification result; expands the electromagnetic compatibility whole vehicle function items based on the verification result to determine the whole vehicle intelligent driving function test tooling, and uses the whole vehicle intelligent driving function test tooling to automatically match typical road conditions.

[0162] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0163] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0164] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

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

[0166] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A vehicle electromagnetic compatibility pedestrian simulation system verification method, characterized in that: The method includes: Acquire simulation test scenario data, wherein the simulation test scenario data is collected by building a whole vehicle electromagnetic compatibility pedestrian test scenario in a whole vehicle semi-anechoic chamber; Verifying the electromagnetic compatibility of the vehicle function based on the simulated test scenario data to determine a verification result; Based on the verification results, the electromagnetic compatibility vehicle function items are expanded to determine the vehicle intelligent driving function test tooling, and the vehicle intelligent driving function test tooling is used to automatically match typical road conditions.

2. The method according to claim 1, characterized in that The method is applied to a whole vehicle electromagnetic compatibility pedestrian simulation system verification device, which includes: a converter, a camera, a ranging radar, a pedestrian base, a simulated pedestrian guide rail, a motor and a wall panel connector; The transfer unit 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 manual device, the wall plate connector is used to connect the simulated pedestrian manual device to simulate the pedestrian movement mode to obtain pedestrian simulation console data, and the method includes: Obtain 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.

3. The method according to claim 2, characterized in that The whole vehicle electromagnetic compatibility pedestrian simulation system verification device also includes: a radiation interference emission antenna, a converter and a pedestrian simulation console; The radiation interference transmitting antenna is used to transmit antenna signals in the whole vehicle radiation immunity test to obtain the electromagnetic interference state value, the converter is also used to limit the movement of the whole vehicle to obtain the vehicle movement state data, the pedestrian simulation console is used to connect the wall panel connector to control the motor to simulate the pedestrian movement mode to obtain the device simulation setting information, camera information and power switch information, and the method also includes: Obtain electromagnetic interference status value, vehicle motion status data, device model setting information, camera information and power switch information; Determining electromagnetic compatibility vehicle state data based on the electromagnetic interference state value and the vehicle motion state data; Pedestrian simulation console data is determined based on the device simulation setting information, the camera information and the power switch information.

4. The method according to claim 3, characterized in that Before the step of determining pedestrian simulation console data based on the device simulation setting information, the camera information and the power switch information, the step further includes: Get new setting information, save setting information, delete setting information, import setting information, random setting information, start operation information, function reservation 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; Determine 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 operation information and the function reserved information; 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; Power switch information is determined based on the power switch information, the emergency stop switch information, and the reset switch information.

5. The method according to claim 1, characterized in that The step of verifying the electromagnetic compatibility vehicle function based on the simulated test scenario data and determining the verification result comprises: Determine pedestrian simulation data by simulating pedestrian motion conditions based on the simulated test scenario data, wherein the pedestrian motion conditions include pedestrian uniform motion conditions, pedestrian acceleration motion conditions, and pedestrian deceleration motion conditions; The electromagnetic compatibility whole vehicle function is verified based on the pedestrian simulation data to obtain a verification result, wherein the electromagnetic compatibility whole vehicle function includes an emergency braking function and a cruise function.

6. The method according to claim 1, characterized in that The step of performing function expansion based on the verification result to determine the vehicle intelligent driving function test tooling comprises: Based on the verification result, the whole vehicle electromagnetic compatibility pedestrian test scene is replaced to determine the whole vehicle model test scene, and the whole vehicle model test scene includes a vehicle driving test scene, a vehicle following test scene and a pre-collision test scene; Based on the whole vehicle model test scenario, the anti-disturbance performance of the whole vehicle is tested to obtain the whole vehicle intelligent driving function test tooling.

7. The method according to claim 1, characterized in that The step of detecting the anti-disturbance performance of the whole vehicle based on the whole vehicle model test scenario to obtain the whole vehicle intelligent driving function test tooling comprises: Determine a detection result based on the vehicle model test scenario to detect traffic recognition conditions, wherein the traffic recognition conditions include brake recognition conditions and turn signal light recognition conditions; The whole vehicle intelligent driving function test tooling is packaged based on the test results.

8. A whole vehicle electromagnetic compatibility pedestrian simulation system verification device, characterized in that: The device comprises: An acquisition module is used to acquire simulation test scenario data, wherein the simulation test scenario data is collected by building a whole vehicle electromagnetic compatibility pedestrian test scenario in a whole vehicle semi-anechoic chamber; A processing module, used to verify the electromagnetic compatibility of the vehicle function and determine the verification result based on the simulation test scenario data; An execution module is used to expand the electromagnetic compatibility vehicle function items based on the verification results to determine the vehicle intelligent driving function test tooling, and use the vehicle intelligent driving function test tooling to automatically match typical road conditions.

9. A vehicle electromagnetic compatibility pedestrian simulation system verification device, characterized in that: The device comprises: a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the vehicle electromagnetic compatibility pedestrian simulation system verification method as described in any one of claims 1 to 7.

10. 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, the steps of the vehicle electromagnetic compatibility pedestrian simulation system verification method as described in any one of claims 1 to 7 are implemented.

Images