Airbag adaptive control system and method, vehicle and storage medium
By introducing multimodal perception and data processing modules into the airbag control system, identifying passenger types and adjusting airbag parameters, the secondary injury problem caused by the inability of traditional systems to distinguish passenger types is solved, and safer protection for children is achieved.
Patent Information
- Application Number
- CN202510443329.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-09
- Publication Date
- 2025-06-13
AI Technical Summary
Traditional airbag control systems cannot distinguish passenger types and may cause secondary harm to children.
An airbag adaptive control system is designed to collect multimodal information of passengers through a multimodal perception module, including physiological information and sitting posture information. The data processing module analyzes these information and identifies the passenger type. If it is a child, it sends information to the airbag control module to adjust the inflation speed, pressure and deployment direction of the airbag.
It achieves more accurate and safe protection for children and passengers, reducing the risk of secondary injury caused to children by airbags.
Smart Images
Figure CN120135104A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the technical field of vehicle safety, and particularly to an airbag adaptive control system and method, a vehicle, and a storage medium. Background Art
[0002] In modern society, cars have become an indispensable means of transportation for people, bringing great convenience to daily travel. Traditional airbag control systems determine whether to trigger the airbag to pop up based on the signals of collision sensors, and cannot distinguish the types of passengers, which may cause secondary injuries to children. Summary of the Invention
[0003] In view of the above defects or deficiencies in the related art, it is desirable to provide an airbag adaptive control system and method, a vehicle, and a storage medium that can more accurately and safely protect child passengers.
[0004] In a first aspect, this application provides an airbag adaptive control system, which includes a multi-modal sensing module, a data processing module, and an airbag control module connected in sequence;
[0005] The multi-modal sensing module is configured to collect multi-modal information of the passenger, and the multi-modal information includes physiological information and sitting posture information; the data processing module is configured to analyze the multi-modal information and identify the type of the passenger. If the type of the passenger is a child, the multi-modal information is sent to the airbag control module; and the airbag control module is configured to control the inflation speed, pressure, and deployment direction of the airbag based on the multi-modal information.
[0006] Optionally, in some embodiments of this application, the multi-modal sensing module includes a pressure sensor, an infrared sensor, and a camera;
[0007] The pressure sensor is specifically configured to collect the weight data and sitting posture information of the passenger, the infrared sensor is specifically configured to collect the height data and body type data of the passenger, the camera is specifically configured to collect the facial image data of the passenger, and the physiological information includes the weight data, the height data, the body type data, and the facial image data.
[0008] Optionally, in some embodiments of this application, multiple pressure sensors are distributed on the seat cushion and backrest of the vehicle seat, the infrared sensor is located on the top of the vehicle interior or on the backrest of the vehicle seat, and the camera is located inside the rearview mirror or above the vehicle dashboard.
[0009] Optionally, in some embodiments of this application, the pressure sensor is a piezoresistive pressure sensor or a capacitive pressure sensor.
[0010] Optionally, in some embodiments of the present application, the infrared sensor is an infrared ranging sensor or an infrared thermal imaging sensor.
[0011] Optionally, in some embodiments of the present application, the camera is a complementary metal oxide semiconductor camera or a charge coupled device camera.
[0012] Optionally, in some embodiments of the present application, the data processing module is specifically configured to preprocess the multi-modal information, and extract the physiological information and the sitting posture information from the multi-modal information; input the physiological information and the sitting posture information into a pre-trained machine learning model to determine the type of the passenger.
[0013] In a second aspect, the present application provides a method for adaptively controlling an airbag. The method for adaptively controlling an airbag is used for the airbag adaptive control system described in any one of the first aspects. The method for adaptively controlling an airbag includes:
[0014] Collect multi-modal information of a passenger through the multi-modal perception module, where the multi-modal information includes physiological information and sitting posture information;
[0015] Analyze the multi-modal information through the data processing module, and identify the type of the passenger. If the type of the passenger is a child, send the multi-modal information to the airbag control module;
[0016] Control the inflation speed, pressure and deployment direction of the airbag based on the multi-modal information through the airbag control module.
[0017] In a third aspect, the present application provides a vehicle, and the vehicle includes the airbag adaptive control system described in any one of the first aspects.
[0018] In a fourth aspect, the present application provides a computer-readable storage medium. The computer-readable storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps of the method for adaptively controlling an airbag described in the second aspect.
[0019] It can be seen from the above technical solutions that the embodiments of the present application have the following advantages:
[0020] The embodiments of the present application provide an airbag adaptive control system and method, a vehicle, and a storage medium. By analyzing multi-modal information including the physiological information and sitting posture information of a passenger, the type of the passenger can be accurately identified. Furthermore, when the type of the passenger is a child, the inflation speed, pressure and deployment direction of the airbag can be automatically adjusted based on the multi-modal information, which is more targeted and ensures the safety of child passengers. Description of the Drawings
[0021] To more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the accompanying drawings required in the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can also be obtained based on these drawings.
[0022] Figure 1 It is a structural block diagram of an airbag adaptive control system provided by an embodiment of the present application;
[0023] Figure 2 It is another structural block diagram of an airbag adaptive control system provided by an embodiment of the present application;
[0024] Figure 3 It is a schematic flowchart of an airbag adaptive control method provided by an embodiment of the present application;
[0025] Figure 4 It is a structural block diagram of a vehicle provided by an embodiment of the present application.
[0026] Reference numerals:
[0027] 10 - Airbag adaptive control system, 101 - Multimodal perception module, 1011 - Pressure sensor, 1012 - Infrared sensor, 1013 - Camera, 102 - Data processing module, 103 - Airbag control module, 20 - Vehicle. Detailed implementation manners
[0028] The following will clearly and completely describe the technical solutions in the embodiments of the present application in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, rather than all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.
[0029] To make the above objects, features, and advantages of the present application more obvious and understandable, the present application will be further described in detail below in conjunction with the accompanying drawings and specific implementation manners.
[0030] It should be noted that, without conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The following will Figures 1 to 4 elaborate in detail on the airbag adaptive control system and method, vehicle, and storage medium provided by the embodiments of the present application.
[0031] Please refer to Figure 1, which is a structural block diagram of an airbag adaptive control system provided by an embodiment of the present application. The airbag adaptive control system 10 may include a multi-modal perception module 101, a data processing module 102, and an airbag control module 103 that are connected in sequence. In actual use, the multi-modal perception module 101 can collect multi-modal information of the passenger, and the multi-modal information includes physiological information and sitting posture information. The data processing module 102 can analyze the multi-modal information and identify the type of the passenger. If the type of the passenger is a child, the multi-modal information is sent to the airbag control module 103, and the airbag control module 103 can control the inflation speed, pressure, and deployment direction of the airbag based on the multi-modal information, effectively protecting the safety of child passengers. If the type of the passenger is an adult, the data processing module 102 does not send the multi-modal information to the airbag control module 103, and the airbag control module 103 can control the inflation and deployment of the airbag according to normal parameters, for example, the normal parameters can be set when the vehicle leaves the factory. Optionally, in an embodiment of the present application, when it is recognized that the type of the passenger is an adult, the data processing module 102 can also send the multi-modal information to the airbag control module 103, and the airbag control module 103 can control the inflation speed, pressure, and deployment direction of the airbag according to the multi-modal information, that is, to distinguish between middle-aged and elderly people, so as to provide more accurate protection for them.
[0032] In some embodiments of the present application, as Figure 2 shown, the multi-modal perception module 101 includes, but is not limited to, a pressure sensor 1011, an infrared sensor 1012, and a camera 1013, etc. Among them, the pressure sensor 1011 can specifically collect the weight data and sitting posture information of the passenger in real time. For example, a plurality of pressure sensors 1011 are distributed on the seat cushion and backrest of the vehicle seat to form a pressure distribution matrix. The pressure sensor 1011 can be a piezoresistive pressure sensor or a capacitive pressure sensor. The advantage of such a setting is high sensitivity and fast response speed. The infrared sensor 1012 can specifically collect the height data and body shape data of the passenger in real time. For example, the infrared sensor 1012 is located on the top of the vehicle interior or on the backrest of the vehicle seat. The infrared sensor 1012 can be an infrared ranging sensor or an infrared thermal imaging sensor. The advantage of such a setting is high measurement accuracy and strong anti-interference ability. And the camera 1013 can specifically collect the facial image data of the passenger in real time. The physiological information includes, but is not limited to, weight data, height data, body shape data, and facial image data, etc. For example, the camera 1013 is located on the interior rearview mirror or above the vehicle dashboard. The camera 1013 can be a Complementary Metal-Oxide Semiconductor (CMOS) camera or a Charge Coupled Device (CCD) camera, with high resolution and excellent low-light performance.
[0033] In some embodiments of the present application, the data processing module 102 is specifically capable of preprocessing multimodal information and extracting physiological information and sitting posture information from the multimodal information. For example, the preprocessing includes, but is not limited to, operations such as data cleaning, denoising, and normalization, thereby improving the data quality. For another example, the physiological information includes, but is not limited to, weight data, height data, body shape data, and facial image data, etc. That is to say, features such as the weight data and sitting posture information of the passenger are extracted from the data collected by the pressure sensor 1011, the height data and body shape data of the passenger are extracted from the data collected by the infrared sensor 1012, and the age data and gender data of the passenger are extracted from the data collected by the camera 1013. Furthermore, the physiological information and sitting posture information are input into a pre-trained machine learning model to determine the type of the passenger. For example, the machine learning model includes, but is not limited to, support vector machines, random forests, and deep learning models, etc. The training data includes the multimodal information of labeled child passengers and adult passengers, as well as the data of child passengers of different ages, body shapes, and sitting postures, etc.
[0034] In some embodiments of the present application, the airbag control module 103 is specifically capable of controlling the inflation speed, pressure, and deployment direction of the airbag according to multimodal information such as the age data, body shape data, and sitting posture information of the child passenger. For example, for a younger child, a lower inflation speed and pressure than the normal factory parameters are set to effectively protect parts such as the child's neck and chest, reducing the risk of secondary injury caused by the airbag to the child passenger. For another example, for a child with a smaller body shape, the deployment direction of the airbag is adjusted to avoid the airbag directly hitting the child's head, providing more accurate and safe protection for the child passenger.
[0035] The airbag adaptive control system provided by the embodiments of the present application accurately identifies the type of the passenger by analyzing multimodal information including the physiological information and sitting posture information of the passenger. Furthermore, when the passenger type is a child, it can automatically adjust the inflation speed, pressure, and deployment direction of the airbag based on the multimodal information, which is more targeted and ensures the safety of child passengers.
[0036] Based on the foregoing embodiments, the embodiments of the present application provide an airbag adaptive control method, which can be used for Figures 1 to 2 the airbag adaptive control system 10 corresponding to the embodiment. Please refer to Figure 3 , which is a schematic flowchart of an airbag adaptive control method provided by the embodiments of the present application. The airbag adaptive control method specifically includes the following steps:
[0037] S101, collect the multimodal information of the passenger through the multimodal perception module, where the multimodal information includes physiological information and sitting posture information.
[0038] Exemplarily, in the embodiments of the present application, the multimodal perception module 101 includes, but is not limited to, a pressure sensor 1011, an infrared sensor 1012, a camera 1013, etc. Among them, the pressure sensor 1011 can specifically collect the weight data and sitting posture information of the passenger in real time, the infrared sensor 1012 can specifically collect the height data and body shape data of the passenger in real time, and the camera 1013 can specifically collect the facial image data of the passenger in real time. The physiological information includes, but is not limited to, weight data, height data, body shape data, facial image data, etc.
[0039] S102. Analyze the multimodal information through the data processing module, and identify the type of the passenger. If the type of the passenger is a child, send the multimodal information to the airbag control module.
[0040] Exemplarily, in the embodiments of the present application, the data processing module 102 can specifically preprocess the multimodal information, extract the physiological information and sitting posture information from the multimodal information, and then input the physiological information and sitting posture information into a pre-trained machine learning model to determine the type of the passenger.
[0041] S103. Control the inflation speed, pressure and deployment direction of the airbag based on the multimodal information through the airbag control module.
[0042] Exemplarily, when a vehicle collision occurs, in the embodiments of the present application, the airbag control module 103 can specifically control the inflation speed, pressure and deployment direction of the airbag according to multimodal information such as the age data, body shape data and sitting posture information of the child passenger. For example, for a younger child, set a lower inflation speed and pressure than the normal factory parameters to effectively protect parts such as the child's neck and chest. Another example is that for a child with a smaller body shape, adjust the deployment direction of the airbag to avoid the airbag directly hitting the child's head, providing more accurate and safe protection for the child passenger.
[0043] It should be noted that the descriptions of the same steps and the same content in this embodiment and other embodiments can refer to the descriptions in other embodiments, and will not be repeated here.
[0044] The airbag adaptive control method provided by the embodiments of the present application accurately identifies the type of the passenger by analyzing the multimodal information including the physiological information and sitting posture information of the passenger. Furthermore, when the type of the passenger is a child, it can automatically adjust the inflation speed, pressure and deployment direction of the airbag based on the multimodal information, which is more targeted and ensures the safety of child passengers.
[0045] As another aspect, the embodiments of the present application provide a vehicle. Please refer to Figure 4 , the vehicle 20 may include Figures 1 to 2 the airbag adaptive control system 10 corresponding to the embodiment.
[0046] As another aspect, an embodiment of the present application provides a computer-readable storage medium for storing program code, and the program code is used to execute Figure 3 the steps corresponding to the airbag adaptive control method in the corresponding embodiment.
[0047] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the above-described systems, devices, and modules can refer to the corresponding processes in the foregoing method embodiments, and will not be described herein again.
[0048] In several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the modules is only a logical function division. In actual implementation, there may be other division methods. For example, multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed mutual coupling or direct coupling or communication connection can be through some interfaces, and the indirect coupling or communication connection of the devices or modules can be in electrical, mechanical, or other forms. The modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical units, that is, they can be located in one place, or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0049] In addition, in each embodiment of the present application, the functional modules can be integrated in a processing unit, or each module can exist physically alone, or two or more units can be integrated in one module. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit. When the integrated unit 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.
[0050] Based on such understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the airbag adaptive control method in various embodiments of the present application. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks, or optical discs.
[0051] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in this specification.
[0052] Specific examples are used in this article to elaborate on the principle and implementation manner of the present application. The description of the above embodiments is only used to help understand the method and its core idea of the present application; at the same time, for those of ordinary skill in the art, according to the idea of the present application, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation to the present application.
Claims
1. An airbag adaptive control system, characterized in that: The safety airbag adaptive control system (10) comprises a multi-modal sensing module (101), a data processing module (102) and an airbag control module (103) which are connected in sequence; The multimodal sensing module (101) is configured to collect multimodal information of a passenger, the multimodal information including physiological information and sitting posture information; the data processing module (102) is configured to analyze the multimodal information and identify the type of the passenger, and if the type of the passenger is a child, send the multimodal information to the airbag control module (103); and the airbag control module (103) is configured to control the inflation speed, pressure and deployment direction of the airbag based on the multimodal information.
2. The airbag adaptive control system according to claim 1, characterized in that: The multimodal sensing module (101) comprises a pressure sensor (1011), an infrared sensor (1012) and a camera (1013); The pressure sensor (1011) is specifically used to collect the passenger's weight data and sitting posture information, the infrared sensor (1012) is specifically used to collect the passenger's height data and body shape data, the camera (1013) is specifically used to collect the passenger's facial image data, and the physiological information includes the weight data, the height data, the body shape data and the facial image data.
3. The airbag adaptive control system according to claim 2, characterized in that: The plurality of pressure sensors (1011) are distributed on the seat cushion and the backrest of the vehicle seat, the infrared sensor (1012) is located on the top of the vehicle interior or on the backrest of the vehicle seat, and the camera (1013) is located above the rearview mirror in the vehicle or the vehicle dashboard.
4. The airbag adaptive control system according to any one of claims 2 to 3, characterized in that: The pressure sensor (1011) is a piezoresistive pressure sensor or a capacitive pressure sensor.
5. The airbag adaptive control system according to claim 4, characterized in that: The infrared sensor (1012) is an infrared distance measuring sensor or an infrared thermal imaging sensor.
6. The airbag adaptive control system according to claim 4, characterized in that: The camera (1013) is a complementary metal oxide semiconductor camera or a charge coupled device camera.
7. The airbag adaptive control system according to claim 1, characterized in that: The data processing module (102) is specifically used to pre-process the multimodal information and extract the physiological information and the sitting posture information from the multimodal information; input the physiological information and the sitting posture information into a pre-trained machine learning model to determine the type of the passenger.
8. An airbag adaptive control method, characterized in that: The airbag adaptive control method is used for the airbag adaptive control system according to any one of claims 1 to 7, and the airbag adaptive control method comprises: Collecting multimodal information of passengers through the multimodal sensing module, wherein the multimodal information includes physiological information and sitting posture information; Analyzing the multimodal information through the data processing module and identifying the type of the passenger, and if the type of the passenger is a child, sending the multimodal information to the airbag control module; The airbag control module controls the inflation speed, pressure and deployment direction of the airbag based on the multimodal information.
9. A vehicle, characterized in that: The vehicle (20) comprises the airbag adaptive control system (10) according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps of the airbag adaptive control method of claim 8.