A method and device for adjusting a car seat based on road surface perception
Patent Information
- Application Number
- CN202311352309.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-10-19
- Publication Date
- 2026-08-18
- Estimated Expiration
- 2043-10-19
AI Technical Summary
[0005]针对上述技术问题,本发明提供了一种基于路面感知的汽车座椅调节方法及装置,基于路面变化自动调节汽车座椅,以解决汽车进入颠簸路面的舒适性问题
[0016] This invention obtains road surface information in front of the vehicle to predict the unevenness of the road surface; obtains vehicle bump information when driving on the road surface based on the unevenness; and adjusts the posture of the car seat according to the vehicle bump information to adapt to the road surface and reduce road bumps. This invention achieves the goal of adjusting the car seat according to road conditions, reducing the bumps felt by passengers when driving on uneven roads, and improving the riding experience.
Smart Images

Figure CN117284167B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of automotive technology, and in particular to a method and device for adjusting a car seat based on road surface perception. Background Technology
[0002] With the increasing popularity of automobiles, cars can meet the driving conditions of various environments, and even traverse off-road terrain smoothly. However, due to China's complex and diverse terrain, especially its numerous mountainous areas, when driving over uneven or potholed surfaces, the vehicle body rises and falls with the road surface, causing passengers to move with the vehicle. Even with the cushioning provided by the vehicle chassis and seat foam, the bumps and vibrations felt by the passengers are still significant. Even on urban concrete roads, speed bumps and other road conditions still exist that cause vehicles to experience bumps.
[0003] Modern car chassis have a certain ability to passively absorb road surface undulations, but this cannot completely ensure that the vehicle is vibration-free. It only reduces the amplitude of vehicle vibration, and passengers can still feel obvious vibrations and undulations.
[0004] Existing technologies include methods to identify road surface information and adjust vehicle suspension to reduce vibration and undulation. However, due to limitations in vehicle suspension performance, the degree of adjustment varies between different vehicles, and vehicle bumps still cannot be completely avoided. Summary of the Invention
[0005] To address the aforementioned technical problems, this invention provides a method and apparatus for adjusting car seats based on road surface perception, which automatically adjusts the car seat based on changes in road surface conditions to solve the comfort problem when a car enters a bumpy road.
[0006] A first aspect of the present invention provides a method for adjusting a car seat based on road surface perception, comprising: Obtain road surface information in front of the vehicle and predict the unevenness of the road surface ahead; Based on the unevenness, obtain information on the vehicle's bumpiness while driving on the road ahead. The car seat posture is adjusted according to the vehicle bump condition information to adapt to the road surface ahead and reduce road bumps.
[0007] In one optional implementation, obtaining road surface information in front of the vehicle includes: Acquire an image of the road surface in front of the vehicle, and identify the unevenness of the road surface based on the image; or Obtain road surface images shared by other vehicles or the unevenness of the road surface in front of the corresponding vehicle. The unevenness is obtained by comparing it with the road surface reference of the current vehicle's current state to obtain road surface smoothness information.
[0008] In one optional embodiment, obtaining vehicle bump status information when the vehicle is traveling on the road surface ahead based on the unevenness includes: Based on the unevenness, obtain the time and displacement curves in the Z direction of the center points of the four shock absorber towers of the vehicle; The time and acceleration curves in the Z direction of the center points of the four shock absorber towers of the vehicle are generated based on the time and displacement curves. These time and acceleration curves are used to characterize the vehicle's bumpy state information.
[0009] In one optional implementation, adjusting the posture of the car seat according to the vehicle bump state information includes: Generate the time and acceleration curves of the four legs of the car seat based on the time and acceleration curves of the center points of the four shock absorber towers in the Z direction of the vehicle. Generate time and displacement curves for the four outriggers of the car seat based on the time and acceleration curves of the four outriggers of the car seat. Adjusting the height of the four legs of the car seat according to the time and displacement curves of the four legs allows for adjustment of the car seat's posture.
[0010] In one optional implementation, predicting the unevenness of the road surface ahead includes: The road surface smoothness is divided into three levels: low, medium, and high. This is used to provide early warnings for road conditions at these levels based on the smoothness threshold. When the road surface smoothness is high, the car seat is not adjusted.
[0011] In an optional embodiment, the road-sensing-based car seat adjustment method further includes: After adjusting the car seat posture, check the road ahead. If an uneven road surface is detected, continue adjusting the car seat posture; if the road surface is smooth, adjust the car seat back to the normal sitting position.
[0012] In an optional embodiment, the car seat adjustment method based on road surface perception further includes: determining a road surface reference straight line using point cloud data from a lidar, obtaining a 3D road surface image using the reference straight line and a camera, determining the position and height of road surface potholes and bumps, and obtaining the road surface smoothness based on the position and height of road surface potholes and bumps.
[0013] A second aspect of the present invention provides a road-sensing-based automotive seat adjustment device, comprising: The acquisition module is used to acquire road surface information in front of the vehicle and predict the unevenness of the road surface ahead. The processing module is used to obtain vehicle bump status information when the vehicle is driving on the road surface ahead, based on the unevenness. The adjustment module is used to adjust the posture of the car seat according to the vehicle bump status information to adapt to the road surface ahead and reduce road bumps.
[0014] A third aspect of the present invention provides an electronic device comprising: At least one processor; and at least one memory communicatively connected to the processor, wherein the memory stores program instructions executable by the processor, and the processor invokes the program instructions to perform the method as described in the first aspect of the present invention.
[0015] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a computer, performs the method described in the first aspect of the embodiments of the present invention.
[0016] This invention obtains road surface information in front of the vehicle to predict the unevenness of the road surface; obtains vehicle bump information when driving on the road surface based on the unevenness; and adjusts the posture of the car seat according to the vehicle bump information to adapt to the road surface and reduce road bumps. This invention achieves the goal of adjusting the car seat according to road conditions, reducing the bumps felt by passengers when driving on uneven roads, and improving the riding experience. Attached Figure Description
[0017] Figure 1 This is a schematic flowchart of a car seat adjustment method based on road surface perception in an embodiment of the present invention.
[0018] Figure 2 This is a flowchart illustrating another car seat adjustment method based on road surface perception in an embodiment of the present invention.
[0019] Figure 3 This is a schematic diagram illustrating the generation of the car seat adjustment curve in an embodiment of the present invention.
[0020] Figure 4 This is a schematic diagram of another car seat adjustment device based on road surface perception in an embodiment of the present invention.
[0021] Figure 5 This is a schematic diagram of the structure of an electronic device according to an embodiment of the present invention. Detailed Implementation
[0022] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0023] It should be understood that the terms "comprising" and "including" as used in this disclosure and claims indicate the presence of the described features, integrals, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components, and / or collections thereof. It should also be understood that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit this disclosure.
[0024] Please see Figure 1 This invention provides a method for adjusting a car seat based on road surface perception, comprising the following steps: Step 100: Obtain road surface information in front of the vehicle and predict the unevenness of the road surface ahead.
[0025] Specifically, the vehicle uses its existing sensing components, such as cameras, lidar, or millimeter-wave radar, to sense the road surface ahead. This information is then compared with a road surface reference point based on the vehicle's current position to determine whether the road surface is smooth.
[0026] In some embodiments, an image of the road surface in front of the vehicle is acquired, and the unevenness of the road surface in front is identified based on the road surface image.
[0027] For example, a binocular camera is used to detect images of the vehicle's direction of travel. Images captured by the left and right cameras can generate a 3D road surface image. Point cloud data collected by LiDAR is used to determine a reference straight line for the road surface. Using this reference straight line and the 3D road surface image obtained from the cameras, the location and height of potholes and bumps are determined, thereby assessing the road surface smoothness. For instance, road surface smoothness can be calculated based on the height of potholes and bumps. Furthermore, vehicle conditions, such as vehicle speed, vehicle weight, chassis attitude, and the state of the car seat, can be combined to determine the distance between the vehicle and the road surface ahead, identifying the moment the vehicle enters a bumpy road surface and simultaneously adjusting the car seat.
[0028] In other embodiments, road surface images shared by other vehicles or the unevenness of the road surface ahead of the corresponding vehicle can be acquired. This unevenness is compared with a road surface reference point relative to the current vehicle's location to obtain road surface smoothness information. For example, after other vehicles pass through a bumpy road section, they can upload the identified road surface smoothness information and the location information of that section to the cloud. The cloud can then identify the smoothness information of that section in advance. Alternatively, other vehicles can directly upload video and radar data of that section to the cloud.
[0029] Step 200: Obtain vehicle bump status information when the vehicle is driving on the road surface ahead based on the unevenness.
[0030] This step involves converting the impact of uneven road surfaces on vehicle vibrations into adjustment data for the car seat, so that the car seat can be adjusted to cushion the vehicle's vibrations based on this data.
[0031] In one embodiment, the unevenness can be represented by the time-displacement curves of the four shock absorber centers of the vehicle body when the vehicle travels over an uneven road surface. The vehicle state is then converted into time-displacement curves of the four outriggers of the car seat, allowing us to determine the vehicle's bump displacement at a given moment. Adjusting the four outriggers of the car seat to this displacement can buffer the bumps, filtering out rough road conditions and providing a comfortable riding environment for occupants.
[0032] Step 300: Adjust the posture of the car seat according to the vehicle bump status information to adapt to the road surface ahead and reduce road bumps.
[0033] By obtaining the time-displacement curves of the four support legs of the seat, the time-displacement curve of the occupant can be obtained, which is the state of bumps felt by the occupant over time; by adjusting the up-down posture of the car seat, road bumps can be buffered.
[0034] This invention reduces vibrations to occupants from uneven road surfaces by adjusting the posture of the car seat. It uses sensors already installed in the vehicle to detect the road surface conditions ahead and combines this with the vehicle's status to obtain a height change curve of the vehicle over time after entering an uneven road surface. This height change curve is then converted into a vertical displacement curve of the car seat, which can be adjusted to change its posture over time, to correspond to the changes in the four support angles of the car seat. This ultimately provides information on the vibration experienced by occupants when traversing uneven road surfaces, ensuring that occupants remain as stable as possible.
[0035] Please see Figure 2 As shown, Figure 2 This is a flowchart illustrating another car seat adjustment method based on road surface perception, as described in an embodiment of the present invention. The car seat adjustment method includes the following steps: Step 201: The LiDAR generates road surface point cloud data, and the visual camera generates road surface images; Step 202: Determine if the road surface is smooth; Road surface data obtained by LiDAR and vision cameras is compared with a road surface baseline indicating the current position of the vehicle to obtain road surface smoothness information. For example, if the height difference between bumps and potholes on the road ahead exceeds a preset threshold, it is considered uneven.
[0036] Step 211: If the road surface is smooth, the identification of the next road segment ends and the identification of the next road segment continues; Step 203: If the road surface is uneven, determine whether the road surface smoothness is greater than the threshold. For example, by using point cloud data from LiDAR, a reference straight line for the road surface is determined. A 3D road surface image is obtained using the reference straight line and a camera. The location and height of road surface potholes and bumps are determined. The smoothness of the road surface is obtained based on the location and height of road surface potholes and bumps.
[0037] For example, the system calculates road surface smoothness based on the height of potholes and bumps. If the road surface is smooth, the system process ends. If the road surface is uneven, the system determines whether the road surface smoothness exceeds a threshold. If it exceeds the threshold, a road warning is issued to the occupant. If it does not exceed the threshold, the seat is adjusted through the program.
[0038] Step 211: If the road surface smoothness is greater than the threshold, the process ends and no further adjustment is needed; Step 204: If the road surface smoothness is less than the threshold, obtain road surface information, vehicle driving information, and seat posture; Step 205: Based on point cloud data, road surface image, vehicle driving position, speed and chassis attitude, and seat status information, generate the vehicle status when entering an uneven road surface; For example, based on the generated road surface point cloud data and road surface images, and by integrating information such as vehicle driving position, speed, chassis attitude, and car seat status, vehicle attitude information after entering an uneven road surface can be generated.
[0039] Step 206: Generate the time-displacement curve of the vehicle in the Z direction; Step 207: Generate the time-acceleration curve of the vehicle in the Z direction; Step 208: Convert to time-acceleration curve in the Z direction of the seat; Step 209: Convert to time-displacement curve in the Z direction of the seat; Step 210: Adjust the seat posture according to the time-displacement curve of the seat in the Z direction.
[0040] In one embodiment, the Z direction is the height direction of the vehicle. Specifically, the time and displacement curves of the center points of the four shock absorber towers in the Z direction can be obtained based on the unevenness. Then, the time and acceleration curves of the center points of the four shock absorber towers in the Z direction are generated based on the time and displacement curves. The time and acceleration curves are used to characterize the vehicle's bumpy state information.
[0041] Next, based on the time and acceleration curves of the four shock absorber towers in the Z direction, the time and acceleration curves of the four legs of the car seat are generated; then, based on the time and acceleration curves of the four legs of the car seat, the time and displacement curves of the four legs of the car seat are generated; finally, based on the time and displacement curves of the four legs of the car seat, the height of the four legs of the car seat is adjusted to achieve the purpose of adjusting the posture of the car seat.
[0042] See also Figure 3 As shown, after the vehicle senses the road surface information, it generates a curve showing the vehicle's movement perpendicular to the road surface. This curve is then converted into a seat adjustment curve. Finally, the vehicle seat posture is adjusted based on the seat adjustment curve, and the curve at the bottom of the seat adjustment curve causes the vehicle to bump.
[0043] Furthermore, the road surface smoothness can be divided into three levels: low, medium, and high, to provide early warnings for high, medium, and low road surface conditions based on smoothness thresholds; when the road surface smoothness is high, the car seat should not be adjusted.
[0044] For example, a vision camera detects road surface conditions in the vehicle's direction of travel by capturing road images using a binocular camera system (including a left and right camera). A lidar scanner scans the road surface point cloud data in the vehicle's direction of travel to determine a road reference straight line. The road surface smoothness is determined by comparing the road reference information with the point cloud data and the composite data from the road surface images. If the road surface smoothness is judged as high, the chassis vibration absorption function can ensure passenger stability without seat intervention. If the road surface smoothness is judged as medium, the surface smoothness is low, and the chassis vibration absorption function is insufficient to ensure passenger stability, requiring seat intervention; this indicates the vehicle is about to enter an unsuitable driving area. If the road surface smoothness is judged as low, the surface condition is poor, and considering vehicle conditions such as chassis condition, ground clearance, and vehicle speed, the vehicle issues a warning to the occupants, providing the driver with road prediction information.
[0045] The method described in this invention is based on camera-detected image matching combined with vehicle-mounted LiDAR scanning of the road surface to detect road surface smoothness and provide a corresponding road surface rating. During manual driving, it can provide the driver with road information, issue warnings for severe road conditions, and filter and buffer bumpy road conditions to provide a comfortable riding environment for passengers. During autonomous driving, it can provide road information to the vehicle's decision-making module, allowing the system to determine whether to detour or proceed based on the road information, ensuring driving safety and comfort.
[0046] Furthermore, after the car seat posture is adjusted, the road ahead is detected. If an uneven road surface is detected, the car seat posture is adjusted further; if the road surface is smooth, the car seat is adjusted back to the normal sitting position.
[0047] For example, after the seat posture adjustment is complete, the vision camera and LiDAR continue to detect the road ahead. If an uneven road surface is detected, the vehicle issues a warning to the occupants, the seat continues to adjust its posture, and the vehicle continues to detect the road surface ahead. If the road surface is detected to be smooth, the seat is adjusted back to a normal sitting position to maintain occupant comfort and safety. Additionally, if the detected road surface is at a high smoothness threshold, the seat is adjusted back to a normal sitting position or maintains a normal sitting position, and the vehicle continues to detect the road surface.
[0048] Please see Figure 4 The present invention also provides a car seat adjustment device based on road surface perception, comprising: The acquisition module 41 is used to acquire road surface information in front of the vehicle and predict the unevenness of the road surface ahead; for example, to acquire a road surface image in front of the vehicle and identify the unevenness of the road surface ahead based on the road surface image; or to acquire road surface images shared by other vehicles or the unevenness of the road surface in front of the corresponding vehicle, wherein the unevenness is compared with the road surface reference of the current vehicle state to obtain road surface smoothness information.
[0049] Processing module 42 is used to obtain vehicle bump state information when the vehicle is driving on the road surface ahead based on the unevenness. The adjustment module 43 is used to adjust the posture of the car seat according to the vehicle bump state information to adapt to the road surface ahead and reduce road bumps.
[0050] In one embodiment, the processing module 42 is further configured to obtain time and displacement curves in the Z direction of the center points of the four shock absorber towers of the vehicle based on the unevenness; and generate time and acceleration curves in the Z direction of the center points of the four shock absorber towers of the vehicle based on the time and displacement curves, wherein the time and acceleration curves are used to characterize the vehicle's bumpy state information.
[0051] In one embodiment, the adjustment module 43 is further configured to generate time and acceleration curves of the four legs of the car seat based on the time and acceleration curves of the four shock absorber towers in the Z direction; generate time and displacement curves of the four legs of the car seat based on the time and acceleration curves of the four legs of the car seat; and adjust the height of the four legs of the car seat based on the time and displacement curves of the four legs of the car seat to achieve the purpose of adjusting the posture of the car seat.
[0052] In other embodiments of the present invention, the car seat adjustment device further includes a recovery module, which is used to detect the road ahead of the vehicle after the car seat posture adjustment is completed. If an uneven road surface is detected ahead, the car seat posture is adjusted further; if the road surface is detected to be flat ahead, the car seat is adjusted back to the normal sitting posture.
[0053] In other embodiments of the present invention, the car seat adjustment device further includes a warning module, which is used to divide the road surface smoothness into three levels: low, medium, and high, and to provide warnings for the high, medium, and low levels of road surface conditions according to the smoothness threshold; wherein when the road surface smoothness is high, the car seat is not adjusted or the recovery module is activated to restore the car seat posture.
[0054] In response to the complex road conditions that exist today, including both harsh mountain roads and smooth urban roads, the widely available laser sensing equipment is used to sense the road conditions, adjust the seat posture, and combine the vehicle and seat postures to obtain a result with smaller occupant vibration, thereby greatly improving occupant comfort.
[0055] like Figure 5 As shown, the present invention also provides an electronic device, comprising: At least one processor; and at least one memory communicatively connected to the processor, wherein the memory stores program instructions executable by the processor, and the processor can execute the above-described road-sensing-based vehicle seat adjustment method by invoking the program instructions.
[0056] The present invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for adjusting a car seat based on road perception.
[0057] It is understood that computer-readable storage media can include: any entity or device capable of carrying computer programs, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), and software distribution media, etc. Computer programs include computer program code. Computer program code can be in the form of source code, object code, executable files, or certain intermediate forms, etc. Computer-readable storage media can include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), and software distribution media, etc.
[0058] In some embodiments of the present invention, the electronic device may include a controller or a processor. The controller is a microcontroller chip that integrates a processor, memory, communication module, etc. The processor may refer to the processor included in the controller. The processor may be a central processing unit (CPU), or it may be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.
[0059] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing a particular logical function or process, and the scope of the preferred embodiments of the invention includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as will be understood by those skilled in the art to which embodiments of the invention pertain.
[0060] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of each example have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.
[0061] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims
1. A method for adjusting a car seat based on road surface perception, characterized in that, include: Obtain road surface information in front of the vehicle and predict the unevenness of the road surface ahead; The information obtained based on the unevenness includes: obtaining time and displacement curves in the Z direction of the center points of the four shock absorber towers of the vehicle based on the unevenness; and generating time and acceleration curves in the Z direction of the center points of the four shock absorber towers of the vehicle based on the time and displacement curves, wherein the time and acceleration curves are used to characterize the vehicle bump state information. The car seat posture is adjusted based on the vehicle's bump condition information to adapt to the road surface ahead and reduce road bumps. The step of adjusting the posture of the car seat according to the vehicle bump condition information includes: Generate the time and acceleration curves of the four legs of the car seat based on the time and acceleration curves of the center points of the four shock absorber towers in the Z direction of the vehicle. Generate time and displacement curves for the four outriggers of the car seat based on the time and acceleration curves of the four outriggers of the car seat. Adjusting the height of the four legs of the car seat according to the time and displacement curves of the four legs allows for adjustment of the car seat's posture.
2. The car seat adjustment method based on road perception according to claim 1, characterized in that, The acquisition of road surface information ahead of the vehicle includes: Acquire an image of the road surface in front of the vehicle, and identify the unevenness of the road surface based on the image; or Obtain road surface images shared by other vehicles or the unevenness of the road surface in front of the corresponding vehicle. The unevenness is obtained by comparing it with the road surface reference of the current vehicle's current state to obtain road surface smoothness information.
3. The car seat adjustment method based on road perception according to claim 1, characterized in that, The prediction of road surface irregularities ahead includes: The road surface smoothness is divided into three levels: low, medium, and high. This is used to provide early warnings for road conditions at these levels based on the smoothness threshold. When the road surface smoothness is high, the car seat is not adjusted.
4. The car seat adjustment method based on road perception according to claim 1, characterized in that, Also includes: After adjusting the car seat position, check the road ahead. If an uneven road surface is detected, continue adjusting the car seat position. If the road surface ahead is smooth, adjust the car seat back to a normal sitting position.
5. The car seat adjustment method based on road perception according to claim 1, characterized in that, Also includes: By using point cloud data from LiDAR, a reference straight line for the road surface is determined. The reference straight line and a camera are used to obtain a 3D road surface image, which determines the location and height of potholes and bumps. The smoothness of the road surface is then determined based on the location and height of potholes and bumps.
6. A car seat adjustment device based on road surface perception, characterized in that, include: The acquisition module is used to acquire road surface information in front of the vehicle and predict the unevenness of the road surface ahead. The processing module is used to obtain vehicle bump status information when the vehicle is driving on the road surface ahead, based on the unevenness. An adjustment module is used to adjust the posture of the car seat according to the vehicle bump state information to adapt to the road surface ahead and reduce road bumps; The processing module is further configured to obtain time and displacement curves in the Z direction of the center points of the four shock absorber towers of the vehicle based on the unevenness; and to generate time and acceleration curves in the Z direction of the center points of the four shock absorber towers of the vehicle based on the time and displacement curves, wherein the time and acceleration curves are used to characterize the vehicle's bumpy state information. The adjustment module is also used to generate time and acceleration curves of the four legs of the car seat based on the time and acceleration curves of the center points of the four shock absorber towers in the Z direction; to generate time and displacement curves of the four legs of the car seat based on the time and acceleration curves of the four legs of the car seat; and to adjust the height of the four legs of the car seat based on the time and displacement curves of the four legs of the car seat, so as to achieve the purpose of adjusting the posture of the car seat.
7. An electronic device, characterized in that, include: At least one processor; And at least one memory communicatively connected to the processor, wherein: the memory stores program instructions executable by the processor, and the processor can execute the method as described in any one of claims 1 to 5 by invoking the program instructions.
8. A computer-readable storage medium, characterized in that, It stores a computer program, which, when executed by a computer, performs the method as described in any one of claims 1 to 5.
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