Vehicle safety test method, system, device and medium in collision environment

Abstract

Embodiments of the present application disclose a kind of vehicle safety test method, system, equipment and medium under collision environment.The method comprises: if detecting that the vehicle to be tested triggers collision event, the environment information of the vehicle to be tested is obtained;Wherein, dummy in the vehicle to be tested is set;According to the attitude response information of dummy, the environment information is determined;Wherein, attitude response information is used to describe the body change that dummy needs to make after triggering collision event;According to the body movement of dummy, the collision information of dummy is determined according to the body movement result according to attitude response information;According to the collision information, the collision damage information of dummy is determined, to determine the safety degree of the vehicle to be tested according to the collision damage information.The technical scheme can realize the active response of dummy under collision environment, accurately simulates the stress action of vehicle driver under collision environment, and provides effective reference for human body damage research when vehicle collision.

Description

Technical Field

[0001] This invention relates to the field of vehicle safety testing technology, and in particular to a vehicle safety testing method, system, equipment and medium under collision conditions. Background Technology

[0002] With the continuous development of vehicle technology, the number of cars in my country is also constantly increasing, and vehicle safety has become an increasingly important issue. In the field of automotive safety protection, the damage values ​​of human body parts during a collision represent the safety level of the vehicle, with high-speed collisions causing greater damage to the human body. Currently, collision dummies are commonly used to replace real people in safety testing experiments. By installing sensors for acceleration, force, and other parameters on various parts of the dummies, the degree of injury to the driver is assessed.

[0003] However, in conventional safety testing experiments, dummies are often placed in fixed positions, so during the collision, the dummy's body is in a passive posture. However, in real collision scenarios, the human body's posture changes with the person's consciousness, such as the force applied to the pedals or the sudden steering wheel turn. Therefore, conventional safety tests cannot objectively and accurately assess the extent of human injury. Summary of the Invention

[0004] This invention provides a vehicle safety testing method, system, equipment, and medium under collision conditions, which can realize the active response of a dummy under collision conditions and accurately simulate the stress behavior of a vehicle driver under collision conditions, providing an effective reference for the study of human injury during vehicle collisions.

[0005] According to one aspect of the present invention, a vehicle safety testing method under a collision environment is provided, the method comprising:

[0006] If a collision event is detected in the vehicle under test, the environmental information of the vehicle under test is obtained; wherein, a test dummy is set in the vehicle under test, and the environmental information includes the type of collision target, the collision condition type of the vehicle under test, the relative distance and relative speed between the vehicle under test and the collision target, and the collision condition type includes frontal collision, side collision or rear-end collision.

[0007] The posture response information of the test dummy is determined based on the environmental information; wherein, the posture response information is used to describe the limb changes that the test dummy needs to make after a collision event is triggered.

[0008] The test dummy is controlled to perform limb movements based on the posture response information, so as to determine the collision information of the test dummy based on the limb movement results; wherein, the collision information is used to describe the collision response reflected on the test dummy after a collision event is triggered.

[0009] The collision damage information of the test dummy is determined based on the collision information, and the safety level of the test vehicle is determined based on the collision damage information.

[0010] According to another aspect of the present invention, a vehicle safety testing system under collision conditions is provided, comprising:

[0011] An environmental monitoring unit is used to acquire environmental information of the vehicle under test if a collision event is detected. The vehicle under test contains a test dummy. The environmental information includes the type of the collision target, the collision condition type of the vehicle under test, the relative distance and relative speed between the vehicle under test and the collision target, and the collision condition type includes frontal collision, side collision or rear-end collision.

[0012] An information processing unit is used to determine the posture response information of the test dummy based on the environmental information; wherein the posture response information is used to describe the limb changes that the test dummy needs to make after a collision event is triggered.

[0013] An execution control unit is configured to control the test dummy to perform limb movements based on the posture response information, so as to determine the collision information of the test dummy based on the limb movement results; wherein, the collision information is used to describe the collision response reflected on the test dummy after a collision event is triggered;

[0014] The damage assessment unit is used to determine the collision damage information of the test dummy based on the collision information, so as to determine the safety level of the test vehicle based on the collision damage information.

[0015] According to another aspect of the present invention, an electronic device for vehicle safety testing under collision conditions is provided, the electronic device comprising:

[0016] At least one processor; and

[0017] A memory communicatively connected to the at least one processor; wherein,

[0018] The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to perform the vehicle safety testing method under a collision environment as described in any embodiment of the present invention.

[0019] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to execute and implement the vehicle safety testing method under a collision environment as described in any embodiment of the present invention.

[0020] The technical solution of this invention involves acquiring environmental information of a vehicle under test if a collision event is detected. The vehicle under test includes a dummy, and the environmental information includes the type of the collision target, the collision condition type of the vehicle under test, and the relative distance and speed between the vehicle and the collision target. The collision condition type includes frontal collision, side collision, or rear-end collision. The dummy's posture response information is determined based on the environmental information. This posture response information describes the limb changes the dummy needs to make after the collision event is triggered. The dummy's limb movements are controlled based on the posture response information, and the collision information is determined based on the limb movement results. The collision information describes the collision response reflected on the dummy after the collision event is triggered. The collision damage information of the dummy is determined based on the collision damage information, and the safety level of the vehicle under test is determined based on the collision damage information. This technical solution enables active response of the dummy in a collision environment, accurately simulating the driver's reactive actions in a collision environment, and providing a valuable reference for research on human injury during vehicle collisions.

[0021] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 This is a flowchart of a vehicle safety testing method under a collision environment according to Embodiment 1 of the present invention;

[0024] Figure 2A This is a schematic diagram of a vehicle frontal collision according to Embodiment 1 of the present invention;

[0025] Figure 2B This is a schematic diagram of a vehicle side collision according to Embodiment 1 of the present invention;

[0026] Figure 2C This is a schematic diagram of a vehicle rear-end collision provided in Embodiment 1 of the present invention;

[0027] Figure 3 This is a schematic diagram of a vehicle safety testing system under a collision environment according to Embodiment 2 of the present invention;

[0028] Figure 4This is a schematic diagram of a vehicle safety testing system under a collision environment according to Embodiment 3 of the present invention;

[0029] Figure 5 This is a schematic diagram of the structure of an electronic device that implements a vehicle safety testing method under a collision environment according to an embodiment of the present invention. Detailed Implementation

[0030] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0031] It should be noted that the terms "first," "second," "target," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0032] Example 1

[0033] Figure 1 This is a flowchart of a vehicle safety testing method under a collision environment provided in Embodiment 1 of the present invention. This embodiment is applicable to situations where vehicle safety testing is conducted under a collision environment based on the active response of a dummy. This method can be executed by a vehicle safety testing system under a collision environment, which can be implemented in hardware and / or software. This vehicle safety testing system under a collision environment can be configured in an electronic device with data processing capabilities. Figure 1 As shown, the method includes:

[0034] S110, if a collision event is detected in the vehicle under test, the environmental information of the vehicle under test is obtained; wherein, a test dummy is set in the vehicle under test, and the environmental information includes the type of collision target, the collision condition type of the vehicle under test, the relative distance and relative speed between the vehicle under test and the collision target, and the collision condition type includes frontal collision, side collision or rear-end collision.

[0035] The vehicle under test can refer to a vehicle awaiting safety testing. A test dummy is installed in the vehicle under test. The test dummy can be used to simulate a driver. A collision event can serve as the trigger condition for the vehicle safety test, specifically determined based on a preset detection area. The preset detection area can be set as an area within a preset distance range of the vehicle under test. For example, the preset detection area can include a first detection area and a second detection area, where the first detection area corresponds to a pre-collision scenario (i.e., the vehicle is about to collide), and the second detection area corresponds to a collision scenario (i.e., the vehicle has already collided). It should be noted that this embodiment does not impose any limitations on the size of the preset distance or the shape of the preset detection area; these can be set according to actual needs.

[0036] In this embodiment, when a collision target is detected entering a preset detection area, it indicates that the distance between the collision target and the vehicle under test is relatively close, and the vehicle under test can be considered to have triggered a collision event. The type of collision target can be a vehicle, pedestrian, animal, or obstacle, etc., and this embodiment does not limit this. When the vehicle under test triggers a collision event, the environmental information of the vehicle under test is first acquired. This environmental information may include the type of collision target, the collision condition type of the vehicle under test, the relative distance and relative speed between the vehicle under test and the collision target. The collision condition type may include a frontal collision (see...). Figure 2A Side impact (see) Figure 2B ) or rear-end collision (see Figure 2C Specifically, scene information (including static images, dynamic images, and videos) can be captured by cameras installed on the vehicle under test. Based on this scene information, target recognition algorithms can be used to determine the type of the collision target and the type of collision condition. The positions and velocities of the vehicle under test and the collision target can be determined using radar sensors (such as lidar or millimeter-wave radar) installed on the vehicle under test, thereby determining the relative distance and relative velocity between them.

[0037] S120, determine the posture response information of the dummy under test based on the environmental information; wherein, the posture response information is used to describe the limb changes that the dummy under test needs to make after a collision event is triggered.

[0038] The posture response information can be used to describe the limb changes that the test dummy needs to make after a collision event is triggered, that is, it can be used to simulate the real limb changes of a vehicle driver after a collision event is triggered. For example, the posture response information may include the magnitude of the force with which the hands grip the steering wheel, the time it takes for the feet to switch between different pedals, and the angles of change in posture of various parts of the body caused by sudden steering wheel movements.

[0039] In this embodiment, after acquiring the environmental information of the vehicle under test, the posture response information of the dummy under test can be determined based on the environmental information to simulate the real posture of the vehicle driver after a collision event is triggered. Optionally, determining the posture response information of the dummy under test based on the environmental information includes: determining the posture response information of the dummy under test based on the environmental information and a pre-trained model; wherein, the pre-trained model is a posture prediction model pre-trained based on the vehicle environmental information and the vehicle driver's posture information under a real collision environment.

[0040] The pose prediction model can be used to predict the pose response information of the dummy under test. For example, the pose prediction model can be a deep learning model. In this embodiment, optionally, determining the pose response information of the dummy under test based on environmental information and a pre-trained model includes: inputting environmental information into the pre-trained model, and determining the pose response information of the dummy under test based on the model output.

[0041] It should be noted that since the pre-trained model is trained based on the vehicle environment information and the driver's posture information in a real collision environment, after obtaining the environmental information, the model output can be obtained by inputting the environmental information into the pre-trained model. The model output is the posture response information of the dummy to be tested.

[0042] This solution, through this setup, can quickly predict the posture response information of the dummy under test based on environmental information using a pre-trained model. Moreover, the model's prediction accuracy is high, and it can simulate the real posture of the vehicle driver after a collision event is triggered.

[0043] S130, control the test dummy to perform limb movements based on the posture response information, so as to determine the collision information of the test dummy based on the limb movement results; wherein, the collision information is used to describe the collision response reflected on the test dummy after the collision event is triggered.

[0044] The collision information describes the collision response observed on the test dummy after a collision event is triggered. Understandably, when a vehicle collides with another vehicle, the actual impact is directly reflected on the test dummy within the vehicle; the dummy will respond to the collision, potentially resulting in varying degrees of injury to different parts of its body. For example, the collision information may include head collision information (such as the combined head acceleration and the start and end times of the acceleration), neck collision information (such as neck bending moment, neck shear force, and the distance from the center of the neck sensor to the head-neck interface), chest collision information (such as rib deformation rate), and leg collision information (such as the combined bending moment and axial force of the lower leg bone).

[0045] In this embodiment, a joint motion controller installed inside the test dummy can control the dummy's limb movements based on posture response information, thereby determining the collision information of various parts of the test dummy based on the limb movement results. For example, sensors can be installed at different locations within the test dummy to measure the collision information of each part after the dummy completes its limb movements.

[0046] S140, determine the collision damage information of the test dummy based on the collision information, and determine the safety level of the test vehicle based on the collision damage information.

[0047] The collision damage information can be used to characterize the collision damage suffered by the test dummy. For example, the collision damage information may include a collision damage value, which can serve as a standard for assessing the passive safety of a vehicle. Specifically, the magnitude of the collision damage value corresponds to the vehicle's safety level and can be determined according to the damage standards in the C-NACP (China-New Car Assessment Program).

[0048] In this embodiment, after determining the collision information, the collision damage information of the dummy under test can be further determined based on the collision information. Optionally, determining the collision damage information of the dummy under test based on the collision information includes: determining the head damage information of the dummy under test based on the synthetic acceleration of the dummy's head and the start and end times of the acceleration generated by the collision; determining the neck damage information of the dummy under test based on the neck bending moment, neck shear force, and target distance; wherein, the target distance is the distance from the center of the neck sensor to the head-neck interface; determining the chest damage information of the dummy under test based on the product of the rib deformation rate and the instantaneous compression function; and determining the lower leg damage information of the dummy under test based on the ratio of the synthetic bending moment to the lower leg axial force threshold and the sum of the ratios of the lower leg axial force to the synthetic bending moment threshold.

[0049] For example, it can be done through formula The head injury information (HIC) of the test dummy is determined. Here, a(t) represents the resultant acceleration of the head, and t1 and t2 represent the start and end times of the acceleration caused by the collision, respectively. It should be noted that the maximum limit of HIC is 700, representing a 31% probability of skull fracture. Therefore, if the calculated HIC is greater than 700, it is set to 700. The neck injury information (My)i of the test dummy can be determined using the formula (My)i = My - Fx × d. Here, My represents the neck bending moment, Fx represents the neck shear force, and d is the target distance (i.e., the distance from the center of the neck sensor to the head-neck interface). The neck injury information (VC) can be determined using the formula (VC). (t) =1.3v(t)×C (t)Determine chest injury information (VC) of the test dummy. (t) Where v(t) represents the rib deformation rate at time t, and C (t) This represents the instantaneous compression function (known). It can be expressed using the formula... Determine the leg injury information (TI) of the test dummy. Among them, M... R F represents the combined bending moment. Z M represents the axial force of the lower leg bone. Rmax F represents the axial force threshold of the lower leg bone (known). Zmax This represents the composite bending moment threshold (known). After determining the collision damage information of the test dummy, the safety level of the test vehicle can be determined based on the collision damage information using C-NACP, thus enabling safety testing of the test vehicle under collision conditions.

[0050] This solution, through this setup, can quickly and accurately determine the collision damage information of the test dummy based on the collision information, so as to conduct safety tests on the test vehicle based on the collision damage information.

[0051] The technical solution of this invention involves acquiring environmental information of a vehicle under test if a collision event is detected. The vehicle under test includes a dummy, and the environmental information includes the type of the collision target, the collision condition type of the vehicle under test, and the relative distance and speed between the vehicle and the collision target. The collision condition type includes frontal collision, side collision, or rear-end collision. The dummy's posture response information is determined based on the environmental information. This posture response information describes the limb changes the dummy needs to make after the collision event is triggered. The dummy's limb movements are controlled based on the posture response information, and the collision information is determined based on the limb movement results. The collision information describes the collision response reflected on the dummy after the collision event is triggered. The collision damage information of the dummy is determined based on the collision damage information, and the safety level of the vehicle under test is determined based on the collision damage information. This technical solution enables active response of the dummy in a collision environment, accurately simulating the driver's reactive actions in a collision environment, and providing a valuable reference for research on human injury during vehicle collisions.

[0052] In this embodiment, optionally, determining the posture response information of the test dummy based on environmental information includes: determining the posture response information of the test dummy based on environmental information and a preset posture database; wherein, the preset posture database includes vehicle environmental information under real collision conditions and the posture information of the vehicle driver.

[0053] In this embodiment, the posture response information of the dummy under test can be determined based on environmental information and a preset posture database. The preset posture database describes the mapping relationship between vehicle environmental information and driver posture information in a real collision environment. For example, if the preset detection area includes a first detection area and a second detection area, mapping relationships can be established for the pre-collision scenario and the collision scenario respectively, that is, the mapping relationships are bound to the collision environment.

[0054] In this embodiment, optionally, determining the posture response information of the dummy to be tested based on environmental information and a preset posture database includes: performing similarity matching between the environmental information and reference environmental information in the preset posture database; determining the target environmental information of the dummy to be tested based on the similarity matching result; and determining the posture response information of the dummy to be tested based on the target environmental information.

[0055] The reference environmental information can refer to any set of environmental information in a pre-defined attitude database, which can serve as a candidate matching target for the environmental information of the vehicle under test. The target environmental information can refer to a set of environmental information finally determined after similarity matching.

[0056] In this embodiment, the posture response information of the dummy under test can be determined by similarity matching. Specifically, the similarity between the environmental information and the reference environmental information in the preset posture database is first determined. It should be noted that this embodiment does not limit the method for determining the similarity and can be set according to actual needs. For example, similarity can be determined based on parameters such as Pearson correlation coefficient, Euclidean distance, and Manhattan distance. After determining the similarity between the environmental information and the reference environmental information, similarity matching can be performed on the environmental information, and the target environmental information of the dummy under test can be determined based on the similarity matching result. It should be noted that this embodiment does not limit the similarity matching method and can be set according to actual needs. For example, the reference environmental information corresponding to the highest similarity can be directly selected as the target environmental information from various similarities; alternatively, a similarity threshold can be preset, and a similarity can be randomly selected from similarities greater than the similarity threshold, and its corresponding reference environmental information can be used as the target environmental information. After determining the target environmental information, a mapping relationship can be determined based on the target environmental information, and the posture information of the vehicle driver in the mapping relationship can be determined as the posture response information of the dummy under test.

[0057] This solution, through this setting, can quickly and accurately match the posture response information of the dummy under test based on the real posture information in the preset posture database, and can better simulate the real posture of the vehicle driver after a collision event is triggered.

[0058] In this embodiment, optionally, the method further includes: if a collision event is detected in the vehicle under test, an alarm is triggered based on a preset alarm method; after determining the collision damage information of the dummy under test based on the collision information, the method further includes: displaying the collision damage information through a host computer.

[0059] The preset alarm mode refers to a pre-defined alarm method. For example, the preset alarm mode may include voice announcement, flashing warning lights, and / or a high-volume horn alarm. The host computer can be used to display collision damage information. For example, the host computer can be a personal computer or a desktop computer. It should be noted that this embodiment does not impose any limitations on the preset alarm mode or the form of the host computer; it can be set according to actual needs.

[0060] In this embodiment, when a collision event is detected in the vehicle under test or a malfunction occurs in the vehicle safety testing system, an alarm can be triggered based on a preset alarm method to indicate the vehicle safety testing phase or a fault alarm. Furthermore, after determining the collision damage information of the test dummy based on the collision information, the collision damage information can be displayed on a host computer to more intuitively observe the real-time changes in the collision damage information.

[0061] Example 2

[0062] Figure 3 This is a schematic diagram of a vehicle safety testing system under a collision environment provided in Embodiment 2 of the present invention. This system can execute the vehicle safety testing method under a collision environment provided in any embodiment of the present invention, and possesses the corresponding functional modules and beneficial effects for executing the method. For example... Figure 3 As shown, the system includes:

[0063] The environmental monitoring unit 210 is used to acquire environmental information of the vehicle under test if a collision event is detected. The vehicle under test is equipped with a test dummy. The environmental information includes the type of the collision target, the collision condition type of the vehicle under test, the relative distance and relative speed between the vehicle under test and the collision target, and the collision condition type includes frontal collision, side collision or rear-end collision.

[0064] Information processing unit 220 is used to determine the posture response information of the test dummy based on the environmental information; wherein the posture response information is used to describe the limb changes that the test dummy needs to make after a collision event is triggered;

[0065] The execution control unit 230 is used to control the test dummy to perform limb movements according to the posture response information, so as to determine the collision information of the test dummy based on the limb movement results; wherein, the collision information is used to describe the collision response reflected on the test dummy after a collision event is triggered;

[0066] The damage assessment unit 240 is used to determine the collision damage information of the test dummy based on the collision information, so as to determine the safety level of the test vehicle based on the collision damage information.

[0067] Optionally, the information processing unit 220 includes:

[0068] The first posture information determination subunit is used to determine the posture response information of the test dummy based on the environmental information and the preset posture database; wherein, the preset posture database includes vehicle environmental information under real collision conditions and the posture information of the vehicle driver.

[0069] Optionally, the first attitude information determining subunit is used for:

[0070] The environmental information is matched with the reference environmental information in the preset posture database;

[0071] The target environment information of the dummy to be tested is determined based on the similarity matching results;

[0072] The posture response information of the dummy under test is determined based on the target environment information.

[0073] Optionally, the information processing unit 220 includes:

[0074] The second attitude information determination subunit is used to determine the attitude response information of the test dummy based on the environmental information and the pre-trained model; wherein, the pre-trained model is an attitude prediction model pre-trained based on vehicle environmental information and the attitude information of the vehicle driver under real collision conditions.

[0075] Optionally, the second attitude information determining subunit is used for:

[0076] The environmental information is input into the pre-trained model, and the posture response information of the dummy to be tested is determined based on the model output.

[0077] Optionally, the damage assessment unit 240 is used for:

[0078] Based on the combined acceleration of the test dummy's head and the start and end times of the acceleration generated by the collision, the head injury information of the test dummy is determined.

[0079] The neck injury information of the test dummy is determined based on the neck bending moment, neck shear force, and target distance; wherein, the target distance is the distance from the center of the neck sensor to the head-neck interface;

[0080] The chest injury information of the test dummy is determined by multiplying the rib deformation rate of the test dummy with the instantaneous compression function.

[0081] The lower leg injury information of the test dummy is determined based on the ratio of the combined bending moment to the threshold of the axial force of the lower leg bone, and the sum of the ratios of the axial force of the lower leg bone to the threshold of the combined bending moment.

[0082] Optionally, the device further includes:

[0083] The alarm unit is used to issue an alarm based on a preset alarm method if a collision event is detected in the vehicle under test.

[0084] The display unit is used to display the collision damage information of the test dummy via a host computer after the collision damage information is determined based on the collision information.

[0085] The vehicle safety testing system under a collision environment provided in this embodiment of the invention can execute the vehicle safety testing method under a collision environment provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method.

[0086] Example 3

[0087] Figure 4 This is a schematic diagram of a vehicle safety testing system under a collision environment provided in Embodiment 3 of the present invention. Figure 4 As shown, the system includes: an environmental monitoring unit, an information processing unit, an execution control unit, a damage assessment unit, a data collection unit, a display unit, and an alarm unit. The environmental monitoring unit includes a distance monitoring subunit, a speed monitoring subunit, and an image monitoring subunit; the execution control unit includes a joint motion controller.

[0088] Specifically, when a collision event is detected involving the vehicle under test, indicating that a collision target has entered the preset detection area, the following steps are taken: First, the distance monitoring subunit acquires the position information of the vehicle under test and the collision target, and determines the relative distance between them. Next, the speed monitoring subunit acquires the speed information of the vehicle under test and the collision target, and determines the relative distance between them. Finally, the image monitoring subunit acquires the scene information of the vehicle under test, and determines the type of collision target and the collision condition based on this information. This allows the determination of the environmental information of the vehicle under test, which is then sent to the information processing unit. Upon receiving the environmental information from the environmental monitoring unit, the information processing unit determines the posture response information of the dummy in the vehicle under test based on a pre-trained model or a preset posture database, and sends this posture response information to the execution control unit.

[0089] After receiving the attitude response information from the information processing unit, the execution control unit can control the dummy's limb movements via a joint motion controller installed inside the dummy. Sensors installed inside the dummy then determine the collision information based on these movements and send it to the damage assessment unit. Upon receiving the collision information from the sensors, the damage assessment unit determines the collision damage to various parts of the dummy. Based on C-NACP, it determines the safety level of the vehicle under test and sends the damage information to the display unit for real-time display. When a collision event is detected or the vehicle safety testing system malfunctions, an alarm can be triggered based on preset alarm methods to indicate the vehicle safety testing phase or a fault alarm. The data collection unit collects feedback data generated during the vehicle safety testing process in real time to optimize the information processing unit, resulting in more realistic and accurate collision results.

[0090] Example 4

[0091] Figure 5 A schematic diagram of an electronic device 10 that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0092] like Figure 5 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 may also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0093] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0094] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as vehicle safety testing methods in a crash environment.

[0095] In some embodiments, the vehicle safety testing method under collision conditions may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the vehicle safety testing method under collision conditions described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the vehicle safety testing method under collision conditions by any other suitable means (e.g., by means of firmware).

[0096] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0097] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0098] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on 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 fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0099] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0100] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0101] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0102] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0103] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A vehicle safety testing method under collision conditions, characterized in that, The method includes: If a collision event is detected involving the vehicle under test, the environmental information of the vehicle under test is acquired. The vehicle under test contains a test dummy. The environmental information includes the type of the collision target, the collision condition type of the vehicle under test, and the relative distance and speed between the vehicle under test and the collision target. The collision condition type includes frontal collision, side collision, or rear-end collision. The collision event is determined based on a preset detection area within a preset distance range of the vehicle under test. The preset detection area includes a first detection area and a second detection area. The first detection area corresponds to a pre-collision scenario, and the second detection area corresponds to a collision scenario. The posture response information of the test dummy is determined based on the environmental information; wherein, the posture response information is used to describe the limb changes that the test dummy needs to make after a collision event is triggered. The test dummy is controlled to perform limb movements based on the posture response information, so as to determine the collision information of the test dummy based on the limb movement results; wherein, the collision information is used to describe the collision response reflected on the test dummy after a collision event is triggered; the collision information is measured by sensors installed in different parts of the test dummy; The collision damage information of the test dummy is determined based on the collision information, and the safety level of the test vehicle is determined based on the collision damage information. Determining the posture response information of the dummy based on the environmental information includes: The posture response information of the test dummy is determined based on the environmental information and the preset posture database; wherein, the preset posture database is used to describe the mapping relationship between vehicle environmental information and vehicle driver posture information under real collision environment; the mapping relationship includes the mapping relationship under the pre-collision scenario and the mapping relationship under the collision scenario.

2. The method according to claim 1, characterized in that, The posture response information of the dummy under test is determined based on the environmental information and the preset posture database, including: The environmental information is matched with the reference environmental information in the preset posture database; The target environment information of the dummy to be tested is determined based on the similarity matching results; The posture response information of the dummy under test is determined based on the target environment information.

3. The method according to claim 1, characterized in that, The posture response information of the dummy under test is determined based on the environmental information, including: The posture response information of the dummy to be tested is determined based on the environmental information and the pre-trained model; wherein, the pre-trained model is a posture prediction model pre-trained based on the vehicle environmental information and the posture information of the vehicle driver under real collision conditions.

4. The method according to claim 3, characterized in that, The posture response information of the dummy to be tested is determined based on the environmental information and the pre-trained model, including: The environmental information is input into the pre-trained model, and the posture response information of the dummy to be tested is determined based on the model output.

5. The method according to claim 1, characterized in that, The collision damage information of the test dummy is determined based on the collision information, including: Based on the combined acceleration of the test dummy's head and the start and end times of the acceleration generated by the collision, the head injury information of the test dummy is determined. The neck injury information of the test dummy is determined based on the neck bending moment, neck shear force, and target distance; wherein, the target distance is the distance from the center of the neck sensor to the head-neck interface; The chest injury information of the test dummy is determined by multiplying the rib deformation rate of the test dummy with the instantaneous compression function. The lower leg injury information of the test dummy is determined based on the ratio of the combined bending moment to the threshold of the axial force of the lower leg bone, and the sum of the ratios of the axial force of the lower leg bone to the threshold of the combined bending moment.

6. The method according to claim 1, characterized in that, The method further includes: If a collision event is detected in the vehicle under test, an alarm will be triggered based on the preset alarm method. After determining the collision damage information of the test dummy based on the collision information, the method further includes: The collision damage information is displayed via a host computer.

7. A vehicle safety testing system under collision conditions, characterized in that, The system includes: An environmental monitoring unit is used to acquire environmental information of the vehicle under test if a collision event is detected. The vehicle under test contains a test dummy. The environmental information includes the type of the collision target, the collision condition type of the vehicle under test, and the relative distance and relative speed between the vehicle under test and the collision target. The collision condition type includes frontal collision, side collision, or rear-end collision. The collision event is determined based on a preset detection area within a preset distance range of the vehicle under test. The preset detection area includes a first detection area and a second detection area, where the first detection area corresponds to a pre-collision scenario and the second detection area corresponds to a collision scenario. An information processing unit is used to determine the posture response information of the test dummy based on the environmental information; wherein the posture response information is used to describe the limb changes that the test dummy needs to make after a collision event is triggered. An execution control unit is configured to control the test dummy to perform limb movements based on the posture response information, so as to determine the collision information of the test dummy based on the limb movement results; wherein, the collision information is used to describe the collision response reflected on the test dummy after a collision event is triggered; the collision information is measured by sensors installed in different parts of the test dummy; The damage assessment unit is used to determine the collision damage information of the test dummy based on the collision information, so as to determine the safety level of the test vehicle based on the collision damage information. The information processing unit includes: a first posture information determination subunit, used to determine the posture response information of the test dummy based on the environmental information and a preset posture database; wherein, the preset posture database is used to describe the mapping relationship between vehicle environmental information and vehicle driver posture information under real collision conditions; the mapping relationship includes the mapping relationship under the pre-collision scenario and the mapping relationship under the collision scenario.

8. An electronic device for vehicle safety testing under collision conditions, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the vehicle safety testing method under a collision environment as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the vehicle safety testing method under a collision environment as described in any one of claims 1-6.

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