A seat belt force limiting control method, system, device, and medium

Abstract

The application discloses a safety belt force limiting control method, system, device and medium, wherein the control method obtains a safety belt fixing point image of a target vehicle in a collision state and a preset target deformation amount; data image processing is performed on the safety belt fixing point image to obtain a safety belt processing image; according to the target deformation amount, deformation mode comparison is performed on the safety belt processing image to obtain a deformation comparison result, and the deformation comparison result is used to represent the deformation degree of the safety belt fixing point; and according to the deformation comparison result, the safety belt force limiting on the safety belt fixing point is adjusted. The control method is based on the real-time shape deformation of the safety belt fixing point in the vehicle collision state, and the safety belt force limiting on the safety belt fixing point is adjusted, so that the possibility of the safety belt fixing point being pulled out in the vehicle collision process can be effectively reduced, and the vehicle safety is improved. The application relates to the technical field of image processing.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of image processing, and in particular to a safety belt force limiting control method, system, device and medium. BACKGROUND

[0002] At present, with the continuous development of society, people's requirements for vehicle indicators related to vehicle personnel safety are continuously improving, and safety belts, as one of the vehicle indicators related to vehicle personnel safety, have become the focus of people's attention.

[0003] At present, the related technology usually sets a buckle lock, a pre-tightening retractor, a high-force retractor and other safety belt functions on the safety belt to protect the safety of vehicle personnel. These methods can effectively reduce the harm to vehicle personnel when the vehicle collides and the safety belt function is normal, but these methods increase the stress on the safety belt fixing point when the vehicle collides, which easily causes the safety belt fixing point to be pulled out during the vehicle collision process, and there is a safety hazard.

[0004] Therefore, the problems of the prior art still need to be solved and optimized. SUMMARY

[0005] The purpose of the present application is to at least partially solve one of the technical problems in the related art.

[0006] To this end, one purpose of the embodiments of the present application is to provide a safety belt force limiting control method, system, device and medium, wherein the control method can effectively reduce the possibility of the safety belt fixing point being pulled out during the vehicle collision process, and improve the safety of the vehicle.

[0007] Another purpose of the embodiments of the present application is to provide a safety belt force limiting control system.

[0008] In order to achieve the above technical purpose, the technical solutions adopted by the embodiments of the present application include:

[0009] In a first aspect, the embodiments of the present application provide a safety belt force limiting control method, comprising:

[0010] obtaining a safety belt fixing point image of a target vehicle in a collision state and a preset target deformation amount;

[0011] performing data image processing on the safety belt fixing point image to obtain a safety belt processing image;

[0012] According to the target deformation amount, the safety belt processing image is compared in deformation form to obtain a deformation comparison result, and the deformation comparison result is used to represent the form deformation degree of the safety belt fixing point;

[0013] According to the deformation comparison result, the safety belt limiting force borne by the safety belt fixing point is adjusted.

[0014] In addition, the safety belt limiting force control method according to the above-mentioned embodiments of the present application can further have the following additional technical features:

[0015] Further, in an embodiment of the present application, the obtaining of the safety belt fixing point image of the target vehicle in the crash state comprises:

[0016] obtaining acceleration signal data of the target vehicle and a preset acceleration crash threshold value;

[0017] According to the acceleration crash threshold value, the acceleration signal data is subjected to a crash threshold comparison to obtain a crash comparison result, the crash comparison result being used to represent whether the target vehicle is in a crash state;

[0018] If the crash comparison result is that the target vehicle is in a crash state, the safety belt fixing point image is obtained.

[0019] Further, in an embodiment of the present application, the data image processing of the safety belt fixing point image to obtain a safety belt processing image comprises:

[0020] image sampling and quantization of the safety belt fixing point image to obtain a first intermediate image;

[0021] image enhancement of the first intermediate image to obtain a second intermediate image;

[0022] image filtering and binarization of the intermediate image to obtain the safety belt processing image.

[0023] Further, in an embodiment of the present application, the deformation comparison according to the target deformation amount, of the safety belt processing image, to obtain a deformation comparison result comprises:

[0024] extracting a target point in the safety belt processing image to obtain target point position data;

[0025] local deformation analysis and processing of the target point position data to obtain a fixing point deformation amount, the fixing point deformation amount being used to represent a local maximum deformation amount of the safety belt fixing point in the crash state;

[0026] deformation form analysis of the fixing point deformation amount according to the target deformation amount to obtain the deformation comparison result.

[0027] Further, in an embodiment of the present application, the local deformation analysis and processing of the target point position data to obtain a fixing point deformation amount comprises:

[0028] obtain original size information of the safety belt fixing point;

[0029] According to the original size information, a local deformation amount calculation is performed on the target point position data to obtain the fixing point deformation amount.

[0030] Further, in the embodiments of the present application, the adjusting the safety belt force limit borne by the safety belt fixing point according to the deformation comparison result comprises:

[0031] obtaining a target response state corresponding to the deformation comparison result, the target response state being a no-risk response state, a low-risk response state, a medium-risk response state or a high-risk response state;

[0032] controlling the buckle lock tongue and the force limiting rod corresponding to the safety belt fixing point according to the target response state, so that the safety belt force limit borne by the safety belt fixing point is changed.

[0033] Further, in the embodiments of the present application, the controlling the buckle lock tongue and the force limiting rod corresponding to the safety belt fixing point according to the target response state comprises:

[0034] if the target response state is the no-risk response state, the buckle lock tongue and the force limiting rod are not controlled;

[0035] or,

[0036] if the target response state is the low-risk response state, the buckle lock tongue is controlled to be loosened, and the force limiting rod is not controlled;

[0037] or,

[0038] if the target response state is the medium-risk response state, the buckle lock tongue is controlled to be loosened, and a force limiting level corresponding to the force limiting rod is switched to a medium force limiting level;

[0039] or,

[0040] if the target response state is the high-risk response state, the buckle lock tongue is controlled to be loosened, and a force limiting level corresponding to the force limiting rod is switched to a low force limiting level.

[0041] In a second aspect, the embodiments of the present application provide a safety belt force limiting control system, comprising:

[0042] a first processing unit, configured to obtain a safety belt fixing point image of a target vehicle in a collision state and a preset target deformation amount;

[0043] a second processing unit, configured to perform data image processing on the seat belt anchor point image to obtain a seat belt processing image;

[0044] a third processing unit, configured to perform deformation mode comparison on the seat belt processing image according to the target deformation amount, to obtain a deformation comparison result, the deformation comparison result being used to represent a deformation degree of the seat belt anchor point;

[0045] a fourth processing unit, configured to adjust a force limit borne by the seat belt anchor point according to the deformation comparison result.

[0046] In a third aspect, an electronic device is provided, and the electronic device comprises:

[0047] at least one processor;

[0048] at least one memory configured to store 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 method described above.

[0050] In a fourth aspect, a computer readable storage medium is provided, and the computer readable storage medium stores a program executable by a processor, and the program executable by the processor is used to implement the method described above when executed by the processor.

[0051] The advantages and beneficial effects of the present application will be partially given in the following description, partially will become obvious from the following description, or will be learned through the practice of the present application:

[0052] The control method, system, device and medium disclosed by the embodiments of the present application, wherein the control method obtains a seat belt anchor point image of a target vehicle in a collision state and a preset target deformation amount; performs data image processing on the seat belt anchor point image to obtain a seat belt processing image; performs deformation mode comparison on the seat belt processing image according to the target deformation amount to obtain a deformation comparison result, the deformation comparison result being used to represent a deformation degree of the seat belt anchor point; and adjusts a force limit borne by the seat belt anchor point according to the deformation comparison result. The control method adjusts the force limit borne by the seat belt anchor point based on the real-time deformation of the seat belt anchor point in the vehicle collision state, which can effectively reduce the possibility of the seat belt anchor point being pulled out during the vehicle collision process and improve the safety of the vehicle. BRIEF DESCRIPTION OF DRAWINGS

[0053] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following introduces the drawings of the related technical solutions in the embodiments of the present application or the prior art. It should be understood that the drawings in the following introduction are only for the convenience of expressing part of the embodiments of the technical solutions of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor on the premise that there is no creative labor.

[0054] Figure 1 A flowchart of a safety belt force limiting control method provided by the embodiment of the present application is shown in the figure.

[0055] Figure 2 A structural diagram of a safety belt force limiting control system provided by the embodiment of the present application is shown in the figure.

[0056] Figure 3 A structural diagram of an electronic device provided by the embodiment of the present application is shown in the figure. DETAILED DESCRIPTION

[0057] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the drawings, wherein the same or similar reference numerals represent the same or similar elements or elements with the same or similar functions throughout. The embodiments described below with reference to the drawings are exemplary and are only used to explain the present application, and cannot be understood as limiting the present application. For the step numbers in the following embodiments, they are only set for the convenience of description and explanation, and the order between the steps is not limited in any way, and the execution order of each step in the embodiments 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 commonly understood by one of ordinary skill in the art to which the present application belongs. The terms used herein are only for the purpose of describing the embodiments of the present application and are not intended to limit the present application.

[0059] Currently, the related technologies usually guarantee the safety of vehicle personnel by setting a buckle lock on a safety belt, a pre-tightening retractor, a high-limit force retractor and other safety belt functions. These methods can effectively reduce the harm to the vehicle personnel when the vehicle collides and the safety belt functions are normal. However, these methods provide greater safety belt limiting force to the vehicle personnel to restrain the vehicle personnel, thereby reducing the harm to the vehicle personnel. Due to the interaction of forces, the force on the safety belt fixing point (i.e. the safety belt limiting force on the safety belt fixing point) also increases when the vehicle collides, which easily causes the safety belt fixing point to be pulled out during the vehicle collision, such as the loosening or falling of the fixing part of the safety belt fixing point. After the safety belt fixing point is pulled out during the vehicle collision, the safety belt often cannot well restrain the vehicle personnel, or even completely does not have a restraining effect on the vehicle personnel, thereby making the vehicle personnel easily suffer from certain collision injuries after the safety belt fixing point is pulled out, and there is a safety hazard.

[0060] Therefore, the embodiments of the present application provide a safety belt limiting force control method. Based on the deformation ratio comparison result, the real-time shape deformation degree of the safety belt fixing point under the vehicle collision state can be obtained, and the safety belt limiting force on the safety belt fixing point can be adjusted, which can effectively reduce the possibility of the safety belt fixing point being pulled out during the vehicle collision, and improve the safety of the vehicle.

[0061] Reference Figure 1 In the embodiments of the present application, a safety belt limiting force control method includes:

[0062] Step 110, obtaining a safety belt fixing point image of a target vehicle under a collision state and a preset target deformation amount;

[0063] In some embodiments, the step 110 of obtaining the safety belt fixing point image of the target vehicle under the collision state includes:

[0064] A1, obtaining acceleration signal data of the target vehicle and a preset acceleration collision threshold;

[0065] A2, comparing the acceleration signal data with the acceleration collision threshold to obtain a collision comparison result, the collision comparison result being used to represent 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, obtaining the safety belt fixing point image.

[0067] In the embodiments of the present application, the target deformation is used to represent the degree of extension of the fixing part of the safety belt fixing point when the fixing part is stretched under force, and the target deformation can be specifically the elongation of the fixing part, which can be determined by the ratio of the total deformation of the gauge length section after the sample corresponding to the fixing part is stretched to break to the original gauge length. Alternatively, the target deformation is obtained by fine-tuning the determined elongation of the fixing part.

[0068] It can be understood that the specific value of the acceleration collision threshold in step A1 can be flexibly set, and the number of the specifically set acceleration collision threshold can be one or more. When the number of the acceleration collision threshold is multiple, the acceleration collision threshold corresponding to the vehicle speed range of the target vehicle can be set based on the different vehicle speed range of the target vehicle.

[0069] It is worth mentioning that due to the existence of objective influencing factors such as the vehicle type and the vehicle weight of the vehicle, the acceleration collision threshold corresponding to the target vehicle can be different, and the embodiments of the present application do not limit the acceleration collision threshold of the target vehicle. The specific value of the acceleration collision threshold of the target vehicle can be reasonably set based on the expert experience method, or obtained based on the analysis of the collision experimental data 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 vehicle body of the target vehicle, or based on the related signals of the wheels of the target vehicle (such as wheel speed signals, etc.), which will not be repeated here.

[0070] It should be noted that the collision threshold comparison of step A2 can be specifically obtained by comparing the size 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, and at this time, the collision threshold comparison can be directly comparing the size relationship between the acceleration collision threshold and the acceleration signal data. Alternatively, 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, and at this time, the collision threshold comparison can be comparing the size 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 according to the foregoing content.

[0071] In addition, when the absolute value of the acceleration signal data is greater than or equal to the acceleration collision threshold, the collision comparison result representing that the target vehicle is in the collision state is obtained. Alternatively, when the absolute value of the acceleration signal data is less than the acceleration collision threshold, the collision comparison result representing that the target vehicle is not in the collision state is obtained.

[0072] The step A3 can be specifically that, when the target vehicle processor obtains the collision comparison result representing that the target vehicle is in the collision state, the target vehicle processor activates the corresponding image sensor used for collecting the image at the seat belt fixing point position to obtain the seat belt fixing point image; or, when the target vehicle processor obtains the collision comparison result representing that the target vehicle is not in the collision state, the target vehicle processor does not activate the corresponding image sensor.

[0073] The step 120 is to perform data image processing on the seat belt fixing point image to obtain a seat belt processing 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 processing image comprises:

[0075] B1, image sampling quantization is performed on the seat belt fixing point image to obtain a first intermediate image;

[0076] B2, image enhancement is performed on the first intermediate image to obtain a second intermediate image;

[0077] B3, image filtering and binarization are performed on the intermediate image to obtain the seat belt processing image.

[0078] In the embodiments of the present application, the image sampling quantization in step B1 can be specifically to sequentially perform sampling operation and quantization operation on the spatially continuous seat belt fixing point image, wherein the sampling operation can be to equally space the spatially continuous seat belt fixing point image in the horizontal and vertical directions to divide it into a set of pixel points, thereby obtaining a sampling image; the quantization operation can be to convert the gray value of each pixel point in the sampling image from an analog quantity to a discrete quantity, thereby obtaining a first intermediate image.

[0079] It can be understood that the image enhancement of step B2 can be at least one of the image enhancement operations such as wavelet transform, gray scale transform, contrast stretching, histogram equalization, etc., to obtain a second intermediate image. The image filtering and binarization of step B3 can be image filtering operation and binarization operation 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., and the specific binarization operation can be based on global threshold binarization, adaptive threshold binarization, histogram-based binarization, etc., 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] The step 130 is to perform deformation morphology comparison on the seat belt processing image according to the target deformation amount to obtain a deformation comparison result, and the deformation comparison result is used to represent the morphological deformation degree of the seat belt fixing point.

[0081] In some embodiments, the step 130 of deforming the safety belt processing image according to the target deformation amount to obtain a deformation comparison result includes:

[0082] C1, extracting a target point in the safety belt processing image to obtain target point position data;

[0083] C2, performing local deformation analysis processing on the target point position data to obtain a fixed point deformation amount, the fixed point deformation amount being used to represent a local maximum deformation amount of the safety belt fixed point in a collision state;

[0084] Further, the step C2 of performing local deformation analysis processing on the target point position data to obtain a fixed point deformation amount includes:

[0085] C21, obtaining original size information of the safety belt fixed point;

[0086] C22, performing local deformation amount calculation on the target point position data according to the original size information to obtain the fixed point deformation amount.

[0087] In the embodiments of the present application, the target point in the step C1 can be a pixel point corresponding to the safety belt fixed point in the safety belt image, and the obtained target point position data can be an image position corresponding to the target point. The original size information in the step C21 can be the size of the safety belt fixed point provided by the manufacturer when the safety belt fixed point is manufactured, and the size includes length, width, height, angle, and other attribute data.

[0088] It can be understood that the local deformation amount calculation in the step C22 can first determine real-time size information of the safety belt fixed point in the vehicle collision process based on all the target point position data; then, a ratio between the original size information and the real-time size information is calculated and selected to obtain the local maximum deformation amount of the safety belt fixed point in the collision state. In addition, in another embodiment, the step C22 can also realize the local deformation amount calculation between the original size information and the real-time size information based on edge detection, geometric feature recognition, stereo recognition and correction in the image recognition technology. The examples in the present application are only for illustration, and do not limit the present application.

[0089] C3, performing deformation form analysis on the fixed point deformation amount according to the target deformation amount to obtain the deformation comparison result.

[0090] In the embodiments of the present application, the deformation form analysis in the step C3 is used to determine the form deformation degree of the safety belt fixed point in the vehicle collision state in real time, and the expression form of the deformation comparison result can be specifically:

[0091]

[0092] wherein Deform is the deformation comparison result; A is the fixed point deformation; and B is the target deformation.

[0093] Step 140, adjusting the safety belt limiting force borne by the safety belt fixing point according to the deformation comparison result.

[0094] In some embodiments, the step C3 of adjusting the safety belt limiting force borne by the safety belt fixing point according to the deformation comparison result comprises:

[0095] C31, obtaining a target response state corresponding to the deformation comparison result, the target response state being a no-risk response state, a low-risk response state, a moderate-risk response state, or a high-risk response state;

[0096] In the embodiments of the present application, the target response state corresponding to the deformation comparison result in step C31 can be determined based on the size relationship between the deformation comparison result and a plurality of response thresholds. Specifically, taking the number of response thresholds as 3, and the response thresholds from small to large as the first threshold, the second threshold, and the third threshold as an 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 no-risk 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 of the present application are only for illustration and do not limit the present application.

[0098] C32, controlling the buckle tongue and the force limiting rod corresponding to the safety belt fixing point according to the target response state, so that the safety belt limiting force borne by the safety belt fixing point is changed.

[0099] Further, the step C32 of controlling the buckle tongue and the force limiting rod corresponding to the safety belt fixing point according to the target response state comprises:

[0100] C321, if the target response state is a no-risk response state, then the buckle tongue and the force limiting rod are not controlled;

[0101] or,

[0102] C322, if the target response state is a low-risk response state, then the buckle tongue is controlled to be loose, and the force limiting rod is not controlled;

[0103] or,

[0104] C323, if the target response state is a medium-risk response state, then the buckle tongue is controlled to be loose, and the force limiting rod is controlled to switch to a medium force level;

[0105] or,

[0106] C324, if the target response state is a high-risk response state, then the buckle tongue is controlled to be loose, and the force limiting rod is controlled to switch to a low force level.

[0107] In the embodiments of the present application, the safety belt fixing point can be a fixing point corresponding to a waistband type safety belt, the buckle tongue can be a locking type tongue on a safety belt buckle, and the force limiting rod can be one of the force limiting rods in a multi-stage force limiting type retractor, each of which corresponds to a different force level.

[0108] It can be understood that step C321 can be that, if the target response state is a no-risk response state, it indicates that the safety belt fixing point has not undergone obvious visible deformation, and the buckle tongue and the force limiting rod can not be controlled. Specifically, in actual application, step C321 can be that the buckle tongue is maintained in a locked state, and the force limiting rod corresponds to a high force level, which can be a higher force level in the multi-stage force limiting type retractor, for example, if the number of force levels in the multi-stage force limiting type retractor is 3, and the third force level corresponds to the largest force value, then the third force level in the multi-stage force limiting type retractor can be determined as the high force level; or, if the number of force levels in the multi-stage force limiting type retractor is 5, and the fifth force level corresponds to the largest force value, and the fourth force level corresponds to a larger force value, then the fifth force level or the fourth force level can be determined as the high force level. In addition, in the embodiments of the present application, the specific force value corresponding to the high force level can be determined according to a plurality of specific force value parameters in the standard parameters of the multi-stage force limiting type retractor, which is not limited in the present application.

[0109] It should be noted that if the target response state in step C322 is a low-risk response state, it indicates that the seat belt anchor point has slight plastic deformation, at which time the buckle tongue can be loosened, and the limiting rod is not controlled to prevent the seat belt limiting force on the seat belt anchor point from continuing to increase.

[0110] In addition, if the target response state in step C323 is a medium-risk response state, it indicates that the seat belt anchor point has greater plastic deformation, at which time the buckle tongue can be loosened, and the limiting rod corresponding to the limiting force level is switched to a medium limiting force level to adjust the seat belt limiting force on the seat belt anchor point. Specifically, in actual application, the specific limiting force level can be switched by switching the limiting rod used by the multi-stage limiting force type retractor, and there are various specific switching methods. The medium limiting force level is similar to the high limiting force level described above, and can be simply inferred.

[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 inferred. In addition, the embodiment of the present application adjusts the seat belt limiting force on the seat belt anchor point in real time based on the real-time morphological deformation degree of the seat belt anchor point in the vehicle collision state, which can effectively reduce the possibility of the seat belt anchor point being pulled out during the vehicle collision process, so that the vehicle personnel can be 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 personnel during the vehicle collision process is better, thereby reducing the collision injury of the vehicle personnel during the vehicle collision process, and the vehicle safety is higher.

[0112] A seat belt limiting force control system according to an embodiment of the present application will be described in detail below with reference to the accompanying drawings.

[0113] Referring to Figure 2 The seat belt limiting force control system according to an embodiment of the present application comprises:

[0114] A first processing unit 101 is configured to acquire a seat belt anchor point image of a target vehicle in a collision state and a preset target deformation amount;

[0115] A second processing unit 102 is configured to perform data image processing on the seat belt anchor point image to obtain a seat belt processing image;

[0116] A third processing unit 103 is configured to perform morphological deformation comparison on the seat belt processing image according to the target deformation amount to obtain a deformation comparison result, wherein the deformation comparison result is used to represent the morphological deformation degree of the seat belt anchor point;

[0117] A fourth processing unit 104 is configured to adjust the limiting force on the seat belt anchor point according to the deformation comparison result.

[0118] It can be understood that the contents in the above method embodiments are applicable to the present system embodiments, the present system embodiments specifically implement the functions same as those of the above method embodiments, and achieve the beneficial effects same as those of the above method embodiments.

[0119] With reference to Figure 3 The present application embodiment further provides an electronic device, comprising:

[0120] at least one processor 201;

[0121] at least one memory 202, configured 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 embodiments.

[0123] Similarly, it can be understood that the contents in the above method embodiments are applicable to the present device embodiments, the present device embodiments specifically implement the functions same as those of the above method embodiments, and achieve the beneficial effects same as those of the above method embodiments.

[0124] The present application embodiment further provides a computer readable storage medium, wherein the computer readable storage medium stores a program executable by the processor 201, and the program executable by the processor 201, when executed by the processor 201, is configured to implement the above method embodiments.

[0125] Similarly, the contents in the above method embodiments are applicable to the present computer readable storage medium embodiments, the present computer readable storage medium embodiments specifically implement the functions same as those of the above method embodiments, and achieve the beneficial effects same as those of the above method embodiments.

[0126] In some alternative embodiments, the functions / operations mentioned in the block diagram can not occur in the order mentioned in the operation diagram. For example, depending on the functions / operations involved, two blocks shown in succession can actually be executed substantially simultaneously or the blocks can sometimes be executed in reverse order. In addition, the embodiments presented and described in the flowcharts of the present application are provided by way of example, with the purpose of providing a more comprehensive understanding of the technology. The disclosed method is not limited to the operations and logical flows presented herein. Alternative embodiments are contemplated in which the order of various operations is changed and in which sub-operations described as part of larger operations are independently executed.

[0127] Furthermore, although the present application is described in the context of functional modules, it is understood that one or more of the functions and / or features can be integrated in a single physical device and / or software module, or one or more functions and / or features can be implemented in separate physical devices or software modules. It is also understood that a detailed discussion of the actual implementation of each module is unnecessary to an understanding of the present application. Rather, the actual implementation is within the routine skill of engineers familiar with the property, function and internal relationships of the various functional modules disclosed herein. Accordingly, the present application is not limited to the specific details of the functional modules described herein. Rather, it is understood that the skilled artisan, using ordinary skill in the art, can implement the application as taught in the claims without undue experimentation. It is also understood that the specific concepts disclosed are merely illustrative and that the scope of the present application is determined by the appended claims and their equivalents.

[0128] If the functions are implemented in software, the functions can be stored in or implemented as one or more computer program products. The computer program product can be stored in a computer readable medium, which can include, but is not limited to, RAM, ROM, electrically programmable ROM (EPROM or EEPROM), flash memory, or a magnetic or optical card, or any suitable device used for storing a computer program. Furthermore, the computer program product can be implemented as at least one program that can be executed by one or more processors.

[0129] The logic and / or steps represented in the flowcharts and / or otherwise described herein, for example, can be embodied in non-transitory computer-readable media, which can be executed by an instruction execution system, apparatus, or device such as a computer-based system, processor, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. In the context of this specification, a "computer-readable medium" can be any means that can contain, store, communicate, propagate or transport the program for use by or in connection with the instruction execution system, apparatus, or device.

[0130] More specific examples (a non-exhaustive list) of the computer-readable medium include the following: an electrical connection (electronic) having one or more wires, a portable computer diskette (magnetic), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can also be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, for example, via optical scanning of the paper or other medium, then compiled, interpreted, or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.

[0131] It should be understood that aspects of the application can be implemented in hardware, software, firmware or combinations thereof. In the above embodiments, various steps or methods can be implemented in software or firmware that is stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any of the following technologies, or combinations thereof, can be used: a discrete logic circuit having logic gates for implementing logic functions upon data signals, an application specific integrated circuit having appropriate combinational logic gates, a programmable gate array (PGA), a field programmable gate array (FPGA), and / or the like.

[0132] In the above description of the present specification, the description referring to the terms "one embodiment", "another embodiment", or "certain embodiments" or the like means that a specific feature, structure, material or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present specification. The illustrative expressions of the above terms do not necessarily refer to the same embodiment or example in the present specification. Also, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in an appropriate manner.

[0133] Although the embodiments of the present application have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, alternatives and variations to these embodiments can be made without departing from the principles and spirit of the application, and the scope of the application is defined by the claims and their equivalents.

[0134] The above is a specific description of the preferred embodiments of the present application, but the present application is not limited to the embodiments, and those skilled in the art can make various equivalent modifications or replacements without departing from the spirit of the present application, and these equivalent modifications or replacements are 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 fixed 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; performing deformation morphology comparison on the processed seat belt 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; adjusting the seat belt force limiter applied to the seat belt fixing point according to the deformation comparison result; The adjusting the seat belt force limiter applied to the seat belt fixing point according to the deformation comparison result includes: Acquiring a target response state corresponding to the deformation comparison result, the target response state being a no-risk response state, a low-risk response state, a moderate-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 force limiting force applied to the seat belt fixing point is changed.

2. The seat belt force limiting control method according to claim 1, characterized in that: The step of obtaining an image of a seat belt fixing point of a target vehicle in a collision state includes: Acquiring acceleration signal data of the target vehicle and a preset acceleration collision threshold; performing a 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; If the collision comparison result indicates 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 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; Perform image filtering and binarization on the intermediate image 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 target points from the seat belt processed image to obtain target point position data; 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; 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 on the target point position data to obtain the fixed point deformation 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 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 limit level corresponding to the force limit rod is controlled to be switched to a low force limit level.

7. A seat belt force limiting control system, characterized in that: include: The first processing unit is used to obtain an image of a seat belt fixing point and a preset target deformation amount of a target vehicle in a collision state; a second processing unit, configured to perform data image processing on the seat belt fixing point image to obtain a seat belt processed image; a third processing unit, configured 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; a fourth processing unit, configured to adjust the force limit applied to the seat belt fixing point according to the deformation comparison result; The adjusting the seat belt force limiter applied to the seat belt fixing point according to the deformation comparison result includes: Acquiring a target response state corresponding to the deformation comparison result, the target response state being a no-risk response state, a low-risk response state, a moderate-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 force limiting force applied to the seat belt fixing point is changed.

8. 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 6.

9. 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 6 when executed by the processor.

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