Safety belt force limiting control method, system, equipment and medium
By image processing and deformation comparison of the seat belt fixing points of the vehicle in a collision state, and adjusting the force limit, the problem of pulling and removing the seat belt fixing points is solved, and vehicle safety and personnel protection effect are improved.
Patent Information
- Application Number
- CN202411290172.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-14
- Publication Date
- 2025-01-07
- Estimated Expiration
- 2044-09-14
AI Technical Summary
Existing seat belts are easily pulled out when the fixed point is collided by the vehicle, which poses safety hazards and cannot effectively restrain the vehicle personnel, resulting in potential injuries.
By obtaining the seat belt fixing point image and preset deformation amount of the target vehicle in the collision state, data image processing and deformation form comparison are performed, and the limiting force of the seat belt fixing point is adjusted to reduce the possibility of pulling off.
It effectively reduces the possibility of the seat belt fixing point being pulled out during vehicle collision, improves vehicle safety, ensures that vehicle personnel are subject to longer constraints during collisions, and reduces collision damage.
Smart Images

Figure CN119261805A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of image processing, and in particular to a method, system, device and medium for controlling a seat belt force limit. Background Art
[0002] At present, with the continuous development of society, people's requirements for vehicle indicators related to ensuring the safety of vehicle occupants are constantly increasing. As one of the vehicle indicator requirements that affect the safety of vehicle occupants, seat belts have become the focus of people's attention.
[0003] At present, relevant technologies usually ensure the safety of vehicle occupants by setting seat belt functions such as buckle locking, retractor pre-tensioning, and high-force limit retractors on the seat belts. These methods can effectively reduce the injuries to vehicle occupants when the vehicle collides and the seat belts function normally. However, since these methods will increase the force on the seat belt fixing points when the vehicle collides, it is easy for the seat belt fixing points to be pulled off during the vehicle collision, posing a safety hazard.
[0004] Therefore, the problems existing in the prior art still need to be solved and optimized. Summary of the invention
[0005] The purpose of the present invention is to solve one of the technical problems existing in the related art to at least a certain extent.
[0006] To this end, an object of an embodiment of the present invention is to provide a seat belt force limiting control method, system, device and medium, wherein the control method can effectively reduce the possibility of the seat belt fixing point being pulled out during a vehicle collision and improve vehicle safety.
[0007] Another object of the embodiments of the present application is to provide a seat belt force limiting control system.
[0008] In order to achieve the above technical objectives, the technical solutions adopted by the embodiments of the present application include:
[0009] In a first aspect, an embodiment of the present application provides a seat belt force limiting control method, comprising:
[0010] Obtaining the seat belt fixing point image and preset target deformation of the target vehicle in the collision state;
[0011] Performing data image processing on the seat belt fixing point image to obtain a seat belt processed image;
[0012] According to the target deformation amount, performing deformation morphology comparison on the seat belt processed image to obtain a deformation comparison result, wherein the deformation comparison result is used to characterize the morphological deformation degree of the seat belt fixing point;
[0013] According to the deformation comparison result, the seat belt limiting force applied to the seat belt fixing point is adjusted.
[0014] In addition, the seat belt force limiting control method according to the above embodiment of the present application may also have the following additional technical features:
[0015] Further, in one embodiment of the present application, the step of acquiring the seat belt fixing point image of the target vehicle in a collision state includes:
[0016] Acquiring acceleration signal data of the target vehicle and a preset acceleration collision threshold;
[0017] According to the acceleration collision threshold, performing a collision threshold comparison on the acceleration signal data to obtain a collision comparison result, wherein the collision comparison result is used to indicate whether the target vehicle is in a collision state;
[0018] If the collision comparison result is that the target vehicle is in a collision state, the seat belt fixing point image is acquired.
[0019] Further, in one embodiment of the present application, performing data image processing on the seat belt fixing point image to obtain a seat belt processed image includes:
[0020] Performing image sampling and quantization on the seat belt fixing point image to obtain a first intermediate image;
[0021] performing image enhancement on the first intermediate image to obtain a second intermediate image;
[0022] The intermediate image is subjected to image filtering and binarization to obtain the seat belt processed image.
[0023] Further, in one embodiment of the present application, performing deformation morphology comparison on the seat belt processed image according to the target deformation amount to obtain a deformation comparison result includes:
[0024] Extracting the target point in the seat belt processed image to obtain the target point position data;
[0025] Performing local deformation analysis processing on the target point position data to obtain a fixed point deformation amount, wherein the fixed point deformation amount is used to characterize the local maximum deformation amount of the seat belt fixed point under a collision state;
[0026] According to the target deformation amount, a deformation morphology analysis is performed on the deformation amount of the fixed point to obtain the deformation comparison result.
[0027] Further, in one embodiment of the present application, the performing of local deformation analysis processing on the target point position data to obtain the fixed point deformation amount includes:
[0028] Obtaining original size information of the seat belt fixing point;
[0029] The local deformation amount of the target point position data is calculated according to the original size information to obtain the fixed point deformation amount.
[0030] Further, in the embodiment of the present application, adjusting the seat belt limiting force applied to the seat belt fixing point according to the deformation comparison result includes:
[0031] Acquire a target response state corresponding to the deformation comparison result, wherein the target response state is a no-risk response state, a low-risk response state, a medium-risk response state, or a high-risk response state;
[0032] According to the target response state, the buckle lock tongue and the force limiting rod corresponding to the seat belt fixing point are controlled so that the seat belt limiting force applied to the seat belt fixing point is changed.
[0033] Further, in the embodiment of the present application, the step of controlling the buckle lock tongue and the force limiting rod corresponding to the seat belt fixing point according to the target response state includes:
[0034] If the target response state is a risk-free response state, the buckle lock tongue and the force-limiting rod are not controlled;
[0035] or,
[0036] If the target response state is a low risk response state, the buckle lock tongue is controlled to be released, and the force limiting rod is not controlled;
[0037] or,
[0038] If the target response state is a medium risk response state, the buckle lock tongue is controlled to be released, and the force limit level corresponding to the force limit rod is controlled to be switched to a medium force limit level;
[0039] or,
[0040] If the target response state is a high-risk response state, the buckle lock tongue is controlled to be released, and the force limiting level corresponding to the force limiting rod is controlled to be switched to a low force limiting level.
[0041] In a second aspect, an embodiment of the present application provides a seat belt force limiting control system, including:
[0042] The first processing unit is used to obtain the seat belt fixing point image and the preset target deformation amount of the target vehicle in the collision state;
[0043] A second processing unit is used to perform data image processing on the seat belt fixing point image to obtain a seat belt processed image;
[0044] A third processing unit is used to perform deformation morphology comparison on the seat belt processed image according to the target deformation amount to obtain a deformation comparison result, wherein the deformation comparison result is used to characterize the morphological deformation degree of the seat belt fixing point;
[0045] The fourth processing unit is used to adjust the limiting force applied to the safety belt fixing point according to the deformation comparison result.
[0046] In a third aspect, an embodiment of the present application further provides an electronic device, including:
[0047] at least one processor;
[0048] at least one memory for storing at least one program;
[0049] When the at least one program is executed by the at least one processor, the at least one processor implements the above method.
[0050] In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, which stores a program executable by a processor, and the program executable by the processor is used to implement the above method when executed by the processor.
[0051] The advantages and benefits of the present application will be partially given in the following description, and partially become apparent from the following description, or be understood through the practice of the present application:
[0052] The embodiments of the present application disclose a method, system, device and medium for controlling the force limit of a seat belt, wherein the control method obtains an image of a seat belt fixing point and a preset target deformation of a target vehicle in a collision state; performs data image processing on the image of the seat belt fixing point to obtain a seat belt processed image; performs deformation morphology comparison on the seat belt processed image according to the target deformation amount to obtain a deformation comparison result, wherein the deformation comparison result is used to characterize the morphological deformation degree of the seat belt fixing point; and adjusts the seat belt force limit applied to the seat belt fixing point according to the deformation comparison result. The control method adjusts the seat belt force limit applied to the seat belt fixing point based on the real-time morphological deformation of the seat belt fixing point in a vehicle collision state, which can effectively reduce the possibility of the seat belt fixing point being pulled out during a vehicle collision and improve vehicle safety. BRIEF DESCRIPTION OF THE DRAWINGS
[0053] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the embodiments of the present application or the drawings of the related technical solutions in the prior art are introduced below. It should be understood that the drawings introduced below are only for the convenience of clearly expressing some embodiments of the technical solutions of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.
[0054] Figure 1 A schematic flow chart of a seat belt force limiting control method provided in an embodiment of the present application;
[0055] Figure 2 A structural schematic diagram of a seat belt force limiting control system provided in an embodiment of the present application;
[0056] Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0057] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present application, and are not to be construed as limitations on the present application. For the step numbers in the following embodiments, they are only provided for the convenience of explanation, and the order between the steps is not limited in any way, and the execution order of each step in the embodiment can be adaptively adjusted according to the understanding of those skilled in the art.
[0058] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.
[0059] At present, the relevant technology usually ensures the safety of vehicle occupants by setting seat belt functions such as buckle locking, retractor pre-tightening, and high-limit retractor on the seat belt. These methods can effectively reduce the injuries suffered by vehicle occupants when the vehicle collides and the seat belt functions normally. However, since these methods all provide vehicle occupants with a larger seat belt force limit to restrain vehicle occupants, the injuries suffered by vehicle occupants can be reduced. In these methods, due to the interaction of forces, the force on the seat belt fixing point (i.e., the seat belt force limit on the seat belt fixing point) will also increase when the vehicle collides. It is easy for the seat belt fixing point to be pulled off during the vehicle collision process, for example, the fixing parts of the seat belt fixing point are loose or fall off; and after the seat belt fixing point is pulled off during the vehicle collision process, the seat belt often cannot restrain the vehicle occupants well, or even has no restraining effect on the vehicle occupants at all, which makes the vehicle occupants susceptible to certain collision injuries after the seat belt fixing point is pulled off, posing a safety hazard.
[0060] In view of this, an embodiment of the present invention provides a seat belt force limiter control method. Based on the deformation comparison result, the control method can obtain the real-time morphological deformation degree of the seat belt fixing point under the vehicle collision state, and then adjust the seat belt force limiter applied to the seat belt fixing point, which can effectively reduce the possibility of the seat belt fixing point being pulled off during the vehicle collision process and improve vehicle safety.
[0061] Reference Figure 1 In an embodiment of the present application, a seat belt force limiting control method includes:
[0062] Step 110, obtaining a seat belt fixing point image and a preset target deformation amount of the target vehicle in a collision state;
[0063] In some embodiments, the step 110 of acquiring the seat belt fixing point image of the target vehicle in the collision state includes:
[0064] A1. Acquire acceleration signal data of the target vehicle and a preset acceleration collision threshold;
[0065] A2. performing collision threshold comparison on the acceleration signal data according to the acceleration collision threshold to obtain a collision comparison result, wherein the collision comparison result is used to indicate whether the target vehicle is in a collision state;
[0066] A3. If the collision comparison result is that the target vehicle is in a collision state, the seat belt fixing point image is acquired.
[0067] In an embodiment of the present application, the target deformation is used to characterize the degree of extension of the fixing of the seat belt fixing point when subjected to tension. The target deformation can specifically be the elongation of the fixing. The elongation of the fixing can be determined by the ratio of the total deformation of the gauge section after the tensile fracture of the specimen corresponding to the fixing to the original gauge length; or, based on fine-tuning the determined elongation of the fixing, the target deformation is obtained.
[0068] It can be understood that the specific value of the acceleration collision threshold in step A1 can be set flexibly, and the number of specifically set acceleration collision thresholds can be one or more. When the number of acceleration collision thresholds is multiple, the acceleration collision threshold corresponding to the vehicle driving speed range segment can be set based on different vehicle driving speed range segments of the target vehicle.
[0069] It is worth mentioning that, due to the existence of objective influencing factors such as the vehicle type and vehicle weight of the vehicle, the acceleration collision threshold corresponding to the target vehicle may be different. The embodiment of the present application does not limit the acceleration collision threshold of the target vehicle. The specific numerical value of the acceleration collision threshold of the target vehicle can usually be reasonably set based on the expert experience method, or obtained based on the collision test data analysis of the target vehicle. In addition, the acceleration signal data can be the real-time acceleration of the target vehicle. Specifically, the acceleration signal data of the target vehicle can be obtained by the acceleration sensor arranged at the front end of the target vehicle body, or obtained based on the target vehicle wheel related signal (such as wheel speed signal, etc.), and the present application will not repeat them here.
[0070] It should be noted that the collision threshold comparison of step A2 can be obtained by comparing the magnitude relationship between the acceleration collision threshold and the absolute value of the acceleration signal data. Specifically, if the target vehicle collides with the rear vehicle, the acceleration direction of the target vehicle during the collision is the same as the driving direction of the target vehicle. At this time, the collision threshold comparison can be directly comparing the magnitude relationship between the acceleration collision threshold and the acceleration signal data; or, if the target vehicle collides with the front vehicle, the acceleration direction of the target vehicle during the collision is opposite to the driving direction of the target vehicle. At this time, the collision threshold comparison can be comparing the magnitude relationship between the acceleration collision threshold and the absolute value of the acceleration signal data. In addition, if the target vehicle collides with the side vehicle, it can also be derived by analogy based on the above content.
[0071] Furthermore, when the absolute value of the acceleration signal data is greater than or equal to the acceleration collision threshold, a collision comparison result indicating that the target vehicle is in a collision state is obtained. Alternatively, when the absolute value of the acceleration signal data is less than the acceleration collision threshold, a collision comparison result indicating that the target vehicle is not in a collision state is obtained.
[0072] Step A3 may specifically be that when the target vehicle processor obtains a collision comparison result indicating that the target vehicle is in a collision state, the target vehicle processor activates the corresponding image sensor, and the image sensor is used to capture an image at the seat belt fixing point position, thereby obtaining a seat belt fixing point image; or, when the target vehicle processor obtains a collision comparison result indicating that the target vehicle is not in a collision state, the target vehicle processor does not activate the corresponding image sensor.
[0073] Step 120, performing data image processing on the seat belt fixing point image to obtain a seat belt processed image;
[0074] In some embodiments, the step 120 of performing data image processing on the seat belt fixing point image to obtain a seat belt processed image includes:
[0075] B1. Sampling and quantizing the seat belt fixing point image to obtain a first intermediate image;
[0076] B2. Performing image enhancement on the first intermediate image to obtain a second intermediate image;
[0077] B3. Perform image filtering and binarization on the intermediate image to obtain the seat belt processed image.
[0078] In an embodiment of the present application, the image sampling and quantization in step B1 may specifically be to perform sampling operations and quantization operations on spatially continuous seat belt fixed point images in sequence, wherein the sampling operation may be to divide the spatially continuous safety point fixed point images into pixel point sets at equal intervals in the horizontal and vertical directions to obtain a sampled image; the quantization operation may be to convert the grayscale value of each pixel point in the sampled image from an analog quantity to a discrete quantity to obtain a first intermediate image.
[0079] It can be understood that the image enhancement in step B2 can be implemented by performing at least one of the image enhancement operations such as wavelet transform, grayscale transform, contrast stretching, histogram equalization, etc. on the first intermediate image, so as to obtain the second intermediate image. The image filtering and binarization in step B3 can be performed by performing image filtering and binarization operations on the second image, and the specific image filtering operation can be any one of mean filtering, box filtering, Gaussian filtering, median filtering, bilateral filtering, etc. The specific binarization operation can be based on global threshold binarization, adaptive threshold binarization, and histogram-based binarization, so as to obtain a seat belt processing image, and the pixel points in the seat belt processing image correspond to the seat belt fixing points.
[0080] Step 130: performing deformation morphology comparison on the seat belt processed image according to the target deformation amount to obtain a deformation comparison result, wherein the deformation comparison result is used to characterize the morphology deformation degree of the seat belt fixing point;
[0081] In some embodiments, the step 130 of performing deformation morphology comparison on the seat belt processed image according to the target deformation amount to obtain a deformation comparison result includes:
[0082] C1. extracting the target point in the seat belt processed image to obtain the target point position data;
[0083] C2. Performing local deformation analysis on the target point position data to obtain a fixed point deformation amount, wherein the fixed point deformation amount is used to characterize the local maximum deformation amount of the seat belt fixed point under a collision state;
[0084] Furthermore, the step C2, performing local deformation analysis on the target point position data to obtain the fixed point deformation, includes:
[0085] C21. Obtaining original size information of the safety belt fixing point;
[0086] C22. Calculate the local deformation of the target point position data according to the original size information to obtain the fixed point deformation.
[0087] In the embodiment of the present application, the target point in step C1 may be a pixel point in the seat belt image corresponding to the seat belt fixing point, and the obtained target point position data may be the image position corresponding to the target point. The original size information in step C21 may be the size of the seat belt fixing point provided by the manufacturer when the seat belt fixing point leaves the factory, and the size includes attribute data such as length, width, height, and angle.
[0088] It is understandable that the calculation of the local deformation in step C22 can first be based on all the target point position data to determine the real-time size information of the seat belt fixed point during the vehicle collision process; then, the ratio between the original size information and the real-time size information is calculated and screened to obtain the local maximum deformation that characterizes the full belt fixed point in the collision state. In addition, in other embodiments, step C22 can also be based on edge detection, geometric feature recognition, stereo recognition and correction in image recognition technology to achieve the calculation of the local deformation between the original size information and the real-time size information. The example of this application is for illustration only and does not impose any limitation on this application.
[0089] C3. According to the target deformation, a deformation morphology analysis is performed on the deformation of the fixed point to obtain the deformation comparison result.
[0090] In the embodiment of the present application, the deformation morphology analysis in step C3 is used to determine in real time the morphological deformation degree of the seat belt fixing point in the vehicle collision state. The deformation comparison result can be specifically expressed in the form of:
[0091]
[0092] Among them, Deform is the deformation comparison result; A is the deformation of the fixed point; B is the target deformation.
[0093] Step 140: Adjust the seat belt force limiter applied to the seat belt fixing point according to the deformation comparison result.
[0094] In some embodiments, the step C3, adjusting the seat belt force limiter applied to the seat belt fixing point according to the deformation comparison result, comprises:
[0095] C31. Obtaining a target response state corresponding to the deformation comparison result, wherein the target response state is a no-risk response state, a low-risk response state, a medium-risk response state, or a high-risk response state;
[0096] In the embodiment of the present application, the target response state corresponding to the deformation comparison result in step C31 can be specifically determined based on the size relationship between the deformation comparison result and multiple response thresholds. Specifically, in the embodiment of the present application, the number of response thresholds is 3, and the response thresholds are the first threshold, the second threshold, and the third threshold from small to large. For example, if the deformation comparison result is less than or equal to the first threshold, the target response state corresponding to the deformation comparison result can be a risk-free response state; or, if the deformation comparison result is greater than the first threshold and less than or equal to the second threshold, the target response state corresponding to the deformation comparison result can be a low-risk response state; or, if the deformation comparison result is greater than the second threshold and less than or equal to the third threshold, the target response state corresponding to the deformation comparison result can be a moderate-risk response state; or, if the deformation comparison result is greater than the third threshold, the target response state corresponding to the deformation comparison result can be a high-risk response state.
[0097] It can be understood that the specific values of the first threshold, the second threshold and the third threshold of the present application can be set according to actual conditions. For example, the first threshold can be any one of 0, 0.01, 0.02, etc., the second threshold can be any one of 0.1, 0.12, 0.15, etc., and the third threshold can be any one of 0.18, 0.2, 0.25, 0.3, etc. The examples in this application are for illustration only and are not intended to limit the present application.
[0098] C32. According to the target response state, the buckle lock tongue and the force limiting rod corresponding to the seat belt fixing point are controlled to change the seat belt force limiting force applied to the seat belt fixing point.
[0099] Further, the step C32, controlling the buckle lock tongue and the force limiting rod corresponding to the seat belt fixing point according to the target response state, includes:
[0100] C321. If the target response state is a risk-free response state, the buckle lock tongue and the force-limiting rod are not controlled;
[0101] or,
[0102] C322, if the target response state is a low risk response state, controlling the buckle lock tongue to release, and not controlling the force limiting rod;
[0103] or,
[0104] C323. If the target response state is a medium risk response state, the buckle lock tongue is controlled to be released, and the force limit level corresponding to the force limit rod is controlled to be switched to a medium force limit level;
[0105] or,
[0106] C324. If the target response state is a high-risk response state, the buckle lock tongue is controlled to be released, and the force limit level corresponding to the force limit rod is controlled to be switched to a low force limit level.
[0107] In an embodiment of the present application, the seat belt fixing point can be a fixing point corresponding to a lap belt type seat belt, the buckle lock tongue can be a locking lock tongue on the seat belt buckle (Buckle), and the force limiting rod can be one of the force limiting rods in a multi-stage force limiting retractor, and each force limiting rod corresponds to a different force limiting level.
[0108] It is understandable that step C321 may be when the target response state is a risk-free response state, which means that no obvious visual deformation occurs at the seat belt fixing point, and the buckle lock tongue and the force limit rod may not be controlled. Specifically, in actual application, step C321 may be to maintain the buckle lock tongue locked, and the force limit level corresponding to the force limit rod is a high force limit level, which may be a higher force limit level in the multi-stage force limit retractor. For example, if the number of force limit levels of the multi-stage force limit retractor is 3, and the force limit value corresponding to the third force limit level is the largest, then the third force limit level of the multi-stage force limit retractor may be determined as the high force limit level; or, if the number of force limit levels of the multi-stage force limit retractor is 5, and the force limit value corresponding to the fifth force limit level is the largest, and the force limit value corresponding to the fourth force limit level is relatively large, then the fifth force limit level or the fourth force limit level may be determined as the high force limit level. In addition, the specific force limit value corresponding to the high force limit level in the embodiment of the present application can be determined according to multiple specific force limit value parameters in the standard parameters of the multi-stage force limit retractor used, and the present application does not limit this.
[0109] It should be noted that if the target response state in step C322 is a low risk response state, it means that the seat belt fixing point has undergone slight plastic deformation. At this time, the buckle lock tongue can be loosened and the force limiter rod can be uncontrolled to prevent the seat belt force limiter on the seat belt fixing point from continuing to increase.
[0110] In addition, if the target response state in step C323 is a medium risk response state, it means that the seat belt fixing point has undergone a large plastic deformation. At this time, the buckle lock tongue can be loosened and the force limit level corresponding to the force limit rod can be switched to the medium force limit level to adjust the seat belt force limit applied to the seat belt fixing point. Specifically, in practical applications, the specific force limit level can be switched by switching the force limit rod used by the multi-stage force limit retractor. There are many specific switching methods, and the medium force limit level is similar to the high force limit level mentioned above, and can be simply deduced by analogy.
[0111] It is worth mentioning that the content of step C324 is similar to the content of the aforementioned step C323, and can be simply deduced by analogy. In addition, the embodiment of the present application adjusts the seat belt force limiter on the seat belt fixing point in real time based on the real-time deformation degree of the seat belt fixing point in the vehicle collision state, which can effectively reduce the possibility of the seat belt fixing point being pulled out during the vehicle collision process, so that the vehicle occupants are restrained by the seat belt for a longer time during the vehicle collision process, and the overall restraint effect of the seat belt on the vehicle occupants during the vehicle collision process is better, reducing the collision damage suffered by the vehicle occupants during the vehicle collision process, and the vehicle safety is higher.
[0112] A seat belt force limiting control system proposed according to an embodiment of the present application is described in detail below with reference to the accompanying drawings.
[0113] Reference Figure 2 A seat belt force limiting control system proposed in an embodiment of the present application includes:
[0114] The first processing unit 101 is used to obtain the seat belt fixing point image and the preset target deformation amount of the target vehicle in the collision state;
[0115] The second processing unit 102 is used to perform data image processing on the seat belt fixing point image to obtain a seat belt processed image;
[0116] The third processing unit 103 is used to perform deformation morphology comparison on the seat belt processed image according to the target deformation amount to obtain a deformation comparison result, wherein the deformation comparison result is used to characterize the morphological deformation degree of the seat belt fixing point;
[0117] The fourth processing unit 104 is used to adjust the force limit applied to the safety belt fixing point according to the deformation comparison result.
[0118] It can be understood that the contents of the above method embodiments are all applicable to the present system embodiments, the functions specifically implemented by the present system embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.
[0119] Reference Figure 3 , the embodiment of the present application further provides an electronic device, including:
[0120] at least one processor 201;
[0121] At least one memory 202, used to store at least one program;
[0122] When the at least one program is executed by the at least one processor 201, the at least one processor 201 implements the above method embodiment.
[0123] Similarly, it can be understood that the contents of the above method embodiments are all applicable to the present device embodiments, the functions specifically implemented by the present device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.
[0124] The embodiment of the present application further provides a computer-readable storage medium, in which a program executable by the processor 201 is stored. The program executable by the processor 201 is used to implement the above-mentioned method embodiment when executed by the processor 201.
[0125] Similarly, the contents of the above method embodiments are all applicable to the computer-readable storage medium embodiments. The functions specifically implemented by the computer-readable storage medium embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.
[0126] In some selectable embodiments, the function / operation mentioned in the block diagram may not occur in the order mentioned in the operation diagram. For example, depending on the function / operation involved, the two boxes shown in succession can actually be executed substantially simultaneously or the boxes can sometimes be executed in reverse order. In addition, the embodiment presented and described in the flow chart of the application is provided by way of example, for the purpose of providing a more comprehensive understanding of technology. The disclosed method is not limited to the operation and logic flow presented herein. Selectable embodiments are expected, wherein the order of various operations is changed and the sub-operation of a part described as a larger operation is performed independently.
[0127] In addition, although the present application is described in the context of functional modules, it should be understood that, unless otherwise specified, one or more of the functions and / or features can be integrated into a single physical device and / or software module, or one or more functions and / or features can be implemented in a separate physical device or software module. It is also understood that a detailed discussion of the actual implementation of each module is unnecessary for understanding the present application. More specifically, in view of the properties, functions, and internal relationships of the various functional modules in the device disclosed herein, the actual implementation of the module will be understood within the conventional techniques of the engineer. Therefore, those skilled in the art can implement the present application set forth in the claims without excessive experimentation using ordinary techniques. It is also understood that the specific concepts disclosed are merely illustrative and are not intended to limit the scope of the present application, which is determined by the full scope of the attached claims and their equivalents.
[0128] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method of the embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.
[0129] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.
[0130] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.
[0131] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.
[0132] In the above description of this specification, the description with reference to the terms "one embodiment / example", "another embodiment / example" or "certain embodiments / examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.
[0133] Although the embodiments of the present application have been shown and described, those skilled in the art will appreciate that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present application, and that the scope of the present application is defined by the claims and their equivalents.
[0134] The above is a specific description of the preferred implementation of the present application, but the present application is not limited to the embodiments. Technical personnel familiar with the field can make various equivalent modifications or substitutions without violating the spirit of the present application. These equivalent modifications or substitutions are all included in the scope defined by the claims of the present application.
Claims
1. A seat belt force limiting control method, characterized in that: include: Obtaining the seat belt fixing point image and preset target deformation of the target vehicle in the collision state; Performing data image processing on the seat belt fixing point image to obtain a seat belt processed image; According to the target deformation amount, performing deformation morphology comparison on the seat belt processed image to obtain a deformation comparison result, wherein the deformation comparison result is used to characterize the morphological deformation degree of the seat belt fixing point; According to the deformation comparison result, the seat belt limiting force applied to the seat belt fixing point is adjusted.
2. The seat belt force limiting control method according to claim 1, characterized in that: The step of obtaining the seat belt fixing point image of the target vehicle in a collision state includes: Acquiring acceleration signal data of the target vehicle and a preset acceleration collision threshold; According to the acceleration collision threshold, performing a collision threshold comparison on the acceleration signal data to obtain a collision comparison result, wherein the collision comparison result is used to indicate whether the target vehicle is in a collision state; If the collision comparison result is that the target vehicle is in a collision state, the seat belt fixing point image is acquired.
3. The seat belt force limiting control method according to claim 1, characterized in that: The step of performing data image processing on the seat belt fixing point image to obtain a seat belt processed image includes: Performing image sampling and quantization on the seat belt fixing point image to obtain a first intermediate image; performing image enhancement on the first intermediate image to obtain a second intermediate image; The intermediate image is subjected to image filtering and binarization to obtain the seat belt processed image.
4. The seat belt force limiting control method according to claim 1, characterized in that: The step of performing deformation morphology comparison on the seat belt processed image according to the target deformation amount to obtain a deformation comparison result includes: Extracting the target point in the seat belt processed image to obtain the target point position data; Performing local deformation analysis processing on the target point position data to obtain a fixed point deformation amount, wherein the fixed point deformation amount is used to characterize the local maximum deformation amount of the seat belt fixed point under a collision state; According to the target deformation amount, a deformation morphology analysis is performed on the deformation amount of the fixed point to obtain the deformation comparison result.
5. The seat belt force limiting control method according to claim 4, characterized in that: The performing local deformation analysis processing on the target point position data to obtain the fixed point deformation amount includes: Obtaining original size information of the seat belt fixing point; The local deformation amount of the target point position data is calculated according to the original size information to obtain the fixed point deformation amount.
6. The seat belt force limiting control method according to claim 1, characterized in that: The step of adjusting the seat belt limiting force applied to the seat belt fixing point according to the deformation comparison result includes: Acquire a target response state corresponding to the deformation comparison result, wherein the target response state is a no-risk response state, a low-risk response state, a medium-risk response state, or a high-risk response state; According to the target response state, the buckle lock tongue and the force limiting rod corresponding to the seat belt fixing point are controlled so that the seat belt limiting force applied to the seat belt fixing point is changed.
7. The seat belt force limiting control method according to claim 6, characterized in that: The controlling of the buckle lock tongue and the force limiting rod corresponding to the seat belt fixing point according to the target response state includes: If the target response state is a risk-free response state, the buckle lock tongue and the force-limiting rod are not controlled; or, If the target response state is a low risk response state, the buckle lock tongue is controlled to be released, and the force limiting rod is not controlled; or, If the target response state is a medium risk response state, the buckle lock tongue is controlled to be released, and the force limit level corresponding to the force limit rod is controlled to be switched to a medium force limit level; or, If the target response state is a high-risk response state, the buckle lock tongue is controlled to be released, and the force limiting level corresponding to the force limiting rod is controlled to be switched to a low force limiting level.
8. A seat belt force limiting control system, characterized in that: include: The first processing unit is used to obtain the seat belt fixing point image and the preset target deformation amount of the target vehicle in the collision state; A second processing unit is used to perform data image processing on the seat belt fixing point image to obtain a seat belt processed image; A third processing unit is used to perform deformation morphology comparison on the seat belt processed image according to the target deformation amount to obtain a deformation comparison result, wherein the deformation comparison result is used to characterize the morphological deformation degree of the seat belt fixing point; The fourth processing unit is used to adjust the limiting force applied to the safety belt fixing point according to the deformation comparison result.
9. An electronic device, characterized in that: include: at least one processor; at least one memory for storing at least one program; When the at least one program is executed by the at least one processor, the at least one processor implements the method according to any one of claims 1 to 7.
10. A computer-readable storage medium storing a program executable by a processor, characterized in that: The program executable by the processor is used to implement the method according to any one of claims 1 to 7 when executed by the processor.
Citation Information
Patent Citations
Displacement tracking measurement device and method of fixing points on automobile seat belt
CN104006747A
Safety belt self-adaptive adjustment method and device, vehicle and medium
CN116853173A
Safety belt adjusting method and related device
CN118220045A