Seat self-adaptive adjusting method, storage medium and electronic equipment
By establishing a check plane coordinate system and determining the target coordinate range of the seat hard point target, the problem of insufficient seat adjustment in the existing technology is solved, and the adaptive adjustment of the seat is realized to meet the driver's comfort, safety and Vision requirements improve driving experience.
Patent Information
- Application Number
- CN202411543692.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-31
- Publication Date
- 2024-12-31
- Estimated Expiration
- 2044-10-31
AI Technical Summary
The existing seat adjustment method cannot take into account the driver's comfort, safety and good vision requirements at the same time, resulting in the seat adjustment being insufficiently comprehensive and unable to meet the driver's multiple needs.
By establishing a check plane coordinate system, we determine the seat posture correlation data of the check point target line equation and the seat hard point, and combine the riding comfort requirements and the driver's human body size data, we use the method of solving the equation system to determine the seat hard point target coordinates. The range and the corresponding seat back angle range realize adaptive adjustment of the seat.
Take into account the correlation between seat position adjustments to ensure the visual field, ride comfort and safety requirements, obtain the best seat adjustment strategy, and improve the driver's driving experience.
Smart Images

Figure CN119218067A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of seat adjustment, and in particular to a seat adaptive adjustment method, a storage medium and an electronic device. Background Art
[0002] When the driver gets on the car for the first time, the seat position needs to be adjusted to meet the driving needs. In order to improve the driver's driving experience, most of the current vehicles are equipped with automatic or semi-automatic seat adjustment strategies. Since there are many adjustable parts in the vehicle seat, each adjustment part affects each other. For example, adjusting the seat position will affect the backrest position, thereby affecting the driver's eye position and changing the field of vision.
[0003] The current automatic seat adjustment method generally adjusts the seat up and down position, seat front and back position, and backrest angle according to preset rules, without taking into account that the adjustment of each part will affect the position of other parts, resulting in the seat being unable to be adjusted to meet the driver's comfort, safety and ensure a good field of vision requirements. Summary of the invention
[0004] The purpose of this application is to overcome the shortcomings of the prior art that the seat adjustment strategy is not comprehensive enough, and to provide a seat adaptive adjustment method, storage medium and electronic device that can take into account the driver's comfort, safety and ensure a good field of vision.
[0005] The technical solution of the present application provides a seat adaptive adjustment method, comprising:
[0006] Establishing a calibration plane coordinate system, wherein the calibration plane coordinate system is located on a seat section plane established based on a vehicle length direction and a vehicle height direction;
[0007] Determine the target line equation of the calibration point on the calibration plane coordinate system according to the driver's field of vision requirement, wherein the calibration point is located at the driver's head;
[0008] Determining the sitting posture association data between the verification point and the seat hard point on the verification plane coordinate system according to the driver's sitting posture requirement, wherein the seat hard point is a point on the seat that does not move with the seat adjustment;
[0009] Determining the seat hard point target coordinate range and the corresponding seat back angle range according to the riding comfort requirements and the driver's body size data in combination with the check point target line equation and the sitting posture associated data;
[0010] The seat is adjusted according to the seat hard point target coordinate range and the seat back angle range.
[0011] Furthermore, the verification point is a human eye position point, and the verification point target line equation is determined on the verification plane coordinate system according to the driver's field of vision requirement, specifically including:
[0012] Determine the coordinates of the upper dead point of the field of view, the coordinates of the lower dead point of the field of view, and the ground projection point coordinates of the front end of the vehicle on the calibration plane coordinate system;
[0013] Taking the ground projection point coordinates of the front end of the vehicle as a reference, determining the upper field of view requirement point coordinates and the lower field of view requirement point coordinates according to the driver's field of view requirements;
[0014] Determine an upper field of view line equation according to the upper dead point coordinates of the field of view and the upper field of view required point coordinates, and determine a lower field of view line equation according to the lower dead point coordinates of the field of view and the lower field of view required point coordinates;
[0015] The calibration point target line equation is determined according to the upper field of view line equation and the lower field of view line equation.
[0016] Further, the sitting posture associated data includes the length of the check point and the seat hard point;
[0017] Determining the sitting posture association data between the verification point and the seat hard point on the verification plane coordinate system according to the driver's sitting posture requirement specifically includes:
[0018] Determining the current calibration point coordinates and the current seat hard point coordinates on the calibration plane coordinate system;
[0019] The length of the check point and the seat hard point is determined according to the current check point coordinates and the current seat hard point coordinates.
[0020] Furthermore, the sitting posture associated data also includes the angle between the hard point connection line of the check point seat and the backrest;
[0021] The method of determining the sitting posture association data between the checking point and the seat hard point on the checking plane coordinate system according to the driver's sitting posture requirement also includes:
[0022] Get the current seat back angle;
[0023] The angle between the check point seat hard point connection line and the backrest is determined according to the current check point coordinates, the current seat hard point coordinates and the current seat backrest angle.
[0024] Furthermore, the determining of the coordinates of the current calibration point on the calibration plane coordinate system specifically includes:
[0025] Determining the current seat back vertex coordinates on the calibration plane coordinate system;
[0026] Determining the abscissa of the current verification point according to the abscissa of the current seat back vertex coordinate and the current estimated head length;
[0027] Obtaining the installation parameters of the face recognition camera and the imaging height of the current calibration point in the imaging area of the face recognition camera;
[0028] The vertical coordinate of the current verification point is determined according to the installation parameters of the face recognition camera, the imaging height of the verification point and the horizontal coordinate of the verification point.
[0029] Furthermore, the step of determining the coordinates of the current calibration point on the calibration plane coordinate system further includes:
[0030] Obtaining the imaging height of the current first reference point in the imaging area of the face recognition camera, wherein the first reference point is a head position point on the same vertical line as the verification point, and the horizontal coordinate of the current verification point is used as the horizontal coordinate of the current first reference point;
[0031] Determine the ordinate of the current first reference point according to the installation parameters of the face recognition camera, the imaging height of the reference point and the abscissa of the current first reference point;
[0032] Determine the height of the driver according to the current first reference point ordinate, the current verification point ordinate and a standard relationship of human body size;
[0033] Determine the latest estimated head length based on the standard relationship between the driver's height and human body dimensions;
[0034] If the difference between the latest estimated head length and the current estimated head length is greater than the preset difference, the latest estimated head length is used as the current estimated head length, and the step of determining the horizontal coordinate of the verification point based on the horizontal coordinate of the current seat back vertex coordinate and the current estimated head length is returned.
[0035] Furthermore, the determining of the coordinates of the current calibration point on the calibration plane coordinate system specifically includes:
[0036] Obtain the straight-line distance between the check point and the face recognition camera, and the inclination angle of the check point between the straight line between the check point and the center point of the camera and the center line of the face recognition camera;
[0037] The coordinates of the current verification point are determined according to the installation parameters of the face recognition camera, the straight-line distance of the verification point and the inclination angle of the verification point.
[0038] Furthermore, the sitting posture associated data includes the length between the check point and the seat hard point and the angle between the check point and the seat hard point connection line and the backrest;
[0039] The determining of the seat hard point target coordinate range and the corresponding seat back angle range according to the riding comfort requirements and the driver's body size data in combination with the check point target line equation and the sitting posture associated data specifically includes:
[0040] Determining the coordinates of the driver's ankle point and the equation of the sole straight line on the calibration plane coordinate system;
[0041] Determine the driver's knee point coordinate set according to the driver's ankle point coordinates, the sole straight line equation, the driver's calf length, and the comfortable range of the angle between the sole line and the calf line;
[0042] Determine the driver's hip point coordinate set according to the driver's knee point coordinate set, the driver's thigh length, and the comfortable range of the angle between the calf line and the thigh line;
[0043] Determine a seat hard point coordinate set according to the driver's hip point coordinate set and the driver's thigh thickness;
[0044] According to the seat hard point coordinate set, the comfortable range of the angle between the thigh line and the body, the target line equation of the check point, the length between the check point and the seat hard point, and the angle between the line connecting the check point seat hard point and the backrest, the seat hard point target coordinate range and the corresponding seat back angle range are determined, and each seat hard point target coordinate in the seat hard point target coordinate range corresponds to a seat back angle range.
[0045] Further, the method of determining the seat hard point target coordinate range and the corresponding seat back angle range according to the riding comfort requirement and the driver's body size data in combination with the check point target line equation and the sitting posture associated data includes:
[0046] Determining the coordinates of the current verification point and the coordinates of the current second reference point on the verification plane coordinate system, wherein the second reference point is located at the driver's head and does not coincide with the verification point;
[0047] Determine the driver's height based on the current check point coordinates, the current second reference point ordinates and a standard relationship of human body dimensions;
[0048] The driver's body size data including at least the driver's calf length, the driver's thigh length and the driver's thigh thickness are determined according to the standard relationship between the driver's height and the body size.
[0049] The technical solution of the present application also provides a storage medium, which stores computer instructions. When a computer executes the computer instructions, it is used to execute the seat adaptive adjustment method as described above.
[0050] The technical solution of the present application also provides an electronic device, comprising at least one processor; and
[0051] a memory communicatively connected to the at least one processor; wherein,
[0052] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can perform the seat adaptive adjustment method as described above.
[0053] After adopting the above technical solution, the following beneficial effects are achieved:
[0054] This application establishes a calibration plane coordinate system, determines the calibration point target line equation and the sitting posture correlation data between the calibration point and the seat hard point according to the driver's field of vision requirements and the driver's sitting posture requirements, and then combines the riding comfort requirements and the driver's body size data to determine the seat hard point target coordinate range and the corresponding seat back angle range by solving a set of equations. It can take into account the correlation between the seat part adjustments, and comprehensively consider the requirements of field of vision, riding comfort and safety to obtain the best seat adjustment strategy. BRIEF DESCRIPTION OF THE DRAWINGS
[0055] The disclosure of the present application will become easier to understand with reference to the accompanying drawings. It should be understood that these drawings are only for illustrative purposes and are not intended to limit the scope of protection of the present application. In the drawings:
[0056] Figure 1 is a flow chart of a seat adaptive adjustment method in one embodiment of the present application;
[0057] Figure 2 This is one of the schematic diagrams of the positional relationship of the calibration plane coordinate system in one embodiment of the present application;
[0058] Figure 3 It is a schematic diagram of the driver's field of vision requirements;
[0059] Figure 4 This is the second schematic diagram of the position relationship of the calibration plane coordinate system in one embodiment of the present application;
[0060] Figure 5 This is the third schematic diagram of the position relationship of the calibration plane coordinate system in one embodiment of the present application;
[0061] Figure 6 This is the fourth schematic diagram of the position relationship of the calibration plane coordinate system in one embodiment of the present application;
[0062] Figure 7 It is a schematic diagram of the hardware structure of an electronic device in one embodiment of the present application. DETAILED DESCRIPTION
[0063] The specific implementation of the present application is further described below with reference to the accompanying drawings.
[0064] It is easy to understand that according to the technical solution of the present application, without changing the essential spirit of the present application, a variety of structural modes and implementation modes that can be replaced by those skilled in the art can be replaced with each other. Therefore, the following specific implementation modes and drawings are only exemplary descriptions of the technical solution of the present application, and should not be regarded as the entirety of the present application or as a limitation or restriction on the technical solution of the application.
[0065] The directional terms such as up, down, left, right, front, back, front, back, top, bottom, etc. mentioned or may be mentioned in this specification are defined relative to the structures shown in the drawings. They are relative concepts and may change accordingly according to their different positions and different usage conditions. Therefore, these or other directional terms should not be interpreted as restrictive terms. In addition, the terms "first", "second", and "third" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance.
[0066] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installation", "connection" and "connection" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above-mentioned in this application can be understood according to the specific circumstances.
[0067] The seat adaptive adjustment method in the embodiment of the present application is as follows Figure 1 As shown, the following steps are included:
[0068] Step S101: establishing a calibration plane coordinate system, where the calibration plane coordinate system is located on a seat section plane established based on the vehicle length direction and the vehicle height direction.
[0069] like Figure 2 As shown, the calibration plane coordinate system is set along the length direction and height direction of the vehicle, and the plane where the calibration plane coordinate system is located is the cross-section of the target seat. On this plane, the coordinate origin can be set according to actual needs. In the embodiment of the present application, the center point of the lens of the face acquisition camera is used as the origin, the horizontal coordinate X is set along the length direction of the vehicle, and the vertical coordinate Z is set along the height direction of the vehicle.
[0070] Step S102: Determine the target line equation of the calibration point on the calibration plane coordinate system according to the driver's field of vision requirement, where the calibration point is located at the driver's head.
[0071] Preferably, the driver's eye position is selected as the calibration point. The calibration point target line equation is determined on the calibration plane coordinates according to the driver's field of vision requirements. When the calibration point of the driver's head is on the calibration point target line equation, the driver can be guaranteed to have a better field of vision. Since the positional relationship between the various points on the driver's head is fixed, other position points on the driver's head can also be selected as calibration points, and the corresponding calibration point target line equation can be obtained according to the positional relationship between the calibration point and the eye position point.
[0072] Step S103: determining the sitting posture association data between the calibration point and the seat hard point on the calibration plane coordinate system according to the driver's sitting posture requirement, where the seat hard point is a point on the seat that does not move with the seat adjustment.
[0073] Preferably, the seat hard point is set as the connection point between the seat cushion and the seat back, that is, point P shown in the figure. Specifically, when the driver drives the vehicle, the driver needs to sit in the main driver's seat according to the sitting posture requirements, such as Figure 2 As shown in the figure, the bottom of the driver's thigh fits against the seat cushion, the back is close to the seat back, and the back of the head rests on the headrest surface. When the driver sits on the seat according to the sitting posture requirements, even if the seat is adjusted, some positional relationships between the check point A and the seat hard point P remain unchanged, such as the distance between the check point A and the seat hard point P, and the angle a between the check point seat hard point connection line and the backrest.
[0074] Step S104: Determine the seat hard point target coordinate range and the corresponding seat back angle range according to the riding comfort requirements and the driver's body size data in combination with the calibration point target line equation and the sitting posture association data.
[0075] According to the definition of ergonomic research, there are riding comfort requirements, which include the comfortable angle range between various joints of the human body. If the driver meets the riding comfort requirements, the riding and driving comfort can be guaranteed. According to the riding comfort requirements, the driver's body size data, the check point target line equation obtained in step S102 and step S103, and the sitting posture related data, several equations are obtained, and the seat hard point target coordinate range and the corresponding seat back angle range are obtained by solving the equations. Each seat hard point target coordinate in the seat hard point target coordinate range corresponds to a seat back angle range.
[0076] Step S105: adjusting the seat according to the seat hard point target coordinate range and the seat back angle range.
[0077] First, the seat hard point target coordinates and seat back angle can be determined within the seat hard point target coordinate range and seat back angle range according to user customization requirements or system setting rules. Then, the seat hard point target coordinates and seat back angle are converted into actual seat position and actual seat back angle. Then, the seat adjustment strategy is determined based on the current seat position and back angle, and the seat adjustment strategy is sent to the seat control module for execution.
[0078] The embodiment of the present application establishes a calibration plane coordinate system, determines the calibration point target line equation and the sitting posture correlation data between the calibration point and the seat hard point according to the driver's field of vision requirements and the driver's sitting posture requirements, and then combines the riding comfort requirements and the driver's body size data to determine the seat hard point target coordinate range and the corresponding seat back angle range by solving a group of equations. It can take into account the correlation between the seat part adjustments, and comprehensively consider the requirements of field of vision, riding comfort and safety to obtain the best seat adjustment strategy.
[0079] In one embodiment, the check point is the eye position point, and the check point target line equation is determined on the check plane coordinate system according to the driver's field of vision requirements, specifically including:
[0080] Determine the coordinates of the upper dead point of the field of view, the coordinates of the lower dead point of the field of view, and the ground projection point coordinates of the front end of the vehicle on the calibration plane coordinate system;
[0081] Taking the ground projection point coordinates of the front end of the vehicle as a reference, determine the upper field of view requirement point coordinates and the lower field of view requirement point coordinates according to the driver's field of view requirements;
[0082] Determine the upper field of view line equation according to the upper dead point coordinates of the field of view and the upper field of view required point coordinates, and determine the lower field of view line equation according to the lower dead point coordinates of the field of view and the lower field of view required point coordinates;
[0083] The target line equation of the verification point is determined based on the upper field of view equation and the lower field of view equation.
[0084] like Figure 3 As shown, the driver's field of vision is limited by the upper and lower edges of the front windshield. To calculate the boundary line equation of the driver's field of vision, the coordinates of the upper dead point of the field of vision W are obtained. up1 and the lower dead center of vision W down1 Coordinates, and at the same time obtain the coordinates of the ground projection point W0 at the front of the vehicle for subsequent determination of the upper field of view required point W up2 Coordinates and bottom vision require point W down2 The ground projection point of the front end of the vehicle is the intersection of a vertical line drawn through the front end point of the protruding part of the front anti-collision beam and the ground.
[0085] According to the national standard, the driver's vision verification requirements stipulate the upper vision requirement points and the verification method of the upper vision requirement points in the cab, as well as the lower vision requirement points and the verification method of the lower vision requirement points. Based on the above requirements and verification methods, the ground projection point W0 coordinates (X exteriorview , Z exteriorview ), height H of upper field of view target point up_visual , distance D from upper field of view target point up_visual , distance D from lower field of view target point down_visual , determine the upper field of view requirement point W up2 The coordinates are (X exteriorview -D up_visual , Z exteriorview +H up_visual ), the lower vision requires point W down2 Coordinate (X exteriorview -D down_visual , Z exteriorview ).
[0086] After that, the upper field of view equation can be determined according to the coordinates of the upper dead point of the field of view and the coordinates of the upper field of view requirement point. Similarly, the lower field of view equation can be determined according to the coordinates of the lower dead point of the field of view and the coordinates of the lower field of view requirement point. When the driver's eyes are located between the upper field of view equation and the lower field of view equation, the driver's field of view requirements of the national standard can be met. In order to ensure that the driver's upper and lower viewing angles are balanced, and because the driver will move during driving, the angle bisector between the upper field of view line and the lower field of view line can be selected as the calibration point target line L eye , the equation of the target line of the check point can be obtained according to the equation of the upper field of view line and the equation of the lower field of view line.
[0087] It should be noted that for some vehicles with higher hoods, the driver's field of vision may be limited by the upper edge of the front windshield and the highest point of the hood. Therefore, the coordinates of the lower dead point of the field of vision in the embodiment of the present application can be replaced with the coordinates of the highest point of the hood according to the vehicle structure.
[0088] In one embodiment, the sitting posture-related data includes the length of the check point and the hard point of the seat;
[0089] Determining the sitting posture association data between the verification point and the seat hard point on the verification plane coordinate system according to the driver's sitting posture requirement specifically includes:
[0090] Determine the current calibration point coordinates and the current seat hard point coordinates on the calibration plane coordinate system;
[0091] The length between the check point and the seat hard point is determined according to the current check point coordinates and the current seat hard point coordinates.
[0092] like Figure 2As shown in the figure, when the driver sits on the seat according to the sitting posture requirements, even if the front and back position of the seat and the backrest angle are adjusted, the length of the check point A and the seat hard point P remains unchanged. To this end, the current check point coordinates and the current seat hard point coordinates are determined on the check plane coordinate system, where the current check point coordinates can be determined by the image collected by the face recognition camera, and the current seat hard point coordinates can be obtained by obtaining the current seat position state, combining the current seat state and seat size information. For two known coordinate points, the check point and the seat hard point length can be directly calculated through the coordinate points.
[0093] In one embodiment, the sitting posture-related data further includes an angle between a connection line of the hard points of the check point seat and a backrest;
[0094] The method further comprises: determining the sitting posture association data between the checking point and the seat hard point on the checking plane coordinate system according to the driver's sitting posture requirement;
[0095] Get the current seat back angle;
[0096] The angle between the check point seat hard point connection line and the backrest is determined based on the current check point coordinates, the current seat hard point coordinates and the current seat backrest angle.
[0097] like Figure 2 As shown, when the driver sits on the seat according to the sitting posture requirements, as the seat position and the backrest angle are adjusted, since the relative position between the driver and the seat does not change, the angle a between the check point seat hard point connection line and the backrest remains unchanged.
[0098] The embodiment of the present application obtains the current seat back angle b from the seat control module, and calculates the slope of the seat hard point line of the current verification point according to the current verification point coordinates and the current seat hard point coordinates, and calculates the angle c between the seat hard point line of the current verification point and the horizontal coordinate line according to the trigonometric function relationship, and the angle a between the seat hard point line of the verification point and the backrest is obtained by subtracting the current seat back angle b from the angle c.
[0099] In one embodiment, determining the coordinates of the current calibration point on the calibration plane coordinate system specifically includes:
[0100] Determine the current seat back vertex coordinates on the calibration plane coordinate system;
[0101] Determine the abscissa of the current calibration point according to the abscissa of the current seat back vertex coordinate and the current estimated head length;
[0102] Obtain the installation parameters of the face recognition camera and the imaging height of the current calibration point in the imaging area of the face recognition camera;
[0103] The vertical coordinate of the current calibration point is determined according to the installation parameters of the face recognition camera, the imaging height of the calibration point and the horizontal coordinate of the calibration point.
[0104] In the embodiment of the present application, the coordinates of the current verification point are determined by a face recognition camera. For a face recognition camera that does not have a ranging function, the coordinates of the current verification point are determined by combining the imaging image of the face recognition camera and the camera installation parameters.
[0105] like Figure 4 As shown, the current seat position information is obtained from the seat control module, and the current seat back vertex Q coordinate is determined in combination with the seat size information. Then, the horizontal coordinate of the current seat back vertex is added to the current estimated head length L head It is the horizontal coordinate of the current calibration point. The current estimated head length L head It can be determined based on the dimensions of various parts of an adult in ergonomics, for example, by selecting the median of the head length dimension data.
[0106] Then, based on the approximate triangle relationship of the face recognition camera imaging, the vertical coordinate of the current calibration point is determined according to the face recognition camera installation parameters, the imaging height of the calibration point and the horizontal coordinate of the calibration point.
[0107] like Figure 4 As shown, straight line CB is the center line of the camera, line segment CD is the imaging height of the verification point, and line segment OC is the focal length of the camera. The angle of ∠COD can be calculated. The angle of ∠OAB is equal to the angle of ∠COD. ∠COD plus the camera elevation angle e is the angle between the straight line OA and the horizontal coordinate. The vertical coordinate of the verification point can be determined according to the horizontal coordinate of the verification point and the angle between the straight line OA and the horizontal coordinate based on trigonometric functions.
[0108] Further, determining the coordinates of the current calibration point on the calibration plane coordinate system also includes:
[0109] Get the imaging height of the current first reference point in the imaging area of the face recognition camera, where the first reference point is the head position point on the same vertical line as the verification point, and the horizontal coordinate of the current verification point is used as the horizontal coordinate of the current first reference point;
[0110] Determine the current first reference point vertical coordinate according to the face recognition camera installation parameters, the reference point imaging height and the current first reference point horizontal coordinate;
[0111] Determine the driver's height based on the current first reference point ordinate, the current check point ordinate and the standard relationship of human body size;
[0112] Determine the latest estimated head length based on the standard relationship between the driver's height and human body dimensions;
[0113] If the difference between the latest estimated head length and the current estimated head length is greater than the preset difference, the latest estimated head length is used as the current estimated head length, and the step of determining the horizontal coordinate of the verification point according to the horizontal coordinate of the current seat back vertex coordinate and the current estimated head length is returned.
[0114] Since the current estimated head length used to determine the horizontal coordinate of the current verification point in the embodiment of the present application is an estimated value and deviates from the actual value, in order to correct the current estimated head length to improve the accuracy of the coordinates of the current verification point, a first reference point E can be marked on the driver's head. For ease of calculation, the first reference point is selected as a position point on the same vertical line as the verification point. As an example, the first reference point can be selected as the chin position point.
[0115] Since the first reference point and the check point are located on the same vertical line, the current check point abscissa is the current first reference point abscissa. Then, the current first reference point abscissa can be calculated based on the principle of similar triangles by combining the camera installation height, installation angle and focal length information in the same way as determining the current check point ordinate. The length between the current check point and the current first reference point can be calculated based on the current check point coordinates and the current first reference point coordinates, and the length value is the face length data. According to the correspondence between the face length data and the height in the "Chinese Adult Body Size Standard", the driver's height can be determined, and then the corresponding latest estimated head length can be determined based on the driver's height. If the difference between the latest estimated head length and the current estimated head length is greater than the preset difference, the current estimated head length is considered to be more reasonable, otherwise the latest estimated head length is used as the current estimated head length, and the step of determining the check point abscissa based on the abscissa of the current seat back vertex coordinates and the current estimated head length is returned to correct the estimated head length.
[0116] In one embodiment, determining the coordinates of the current calibration point on the calibration plane coordinate system specifically includes:
[0117] Obtain the straight-line distance between the calibration point and the face recognition camera, and the inclination angle of the calibration point between the straight line between the calibration point and the center point of the camera and the center line of the face recognition camera;
[0118] The coordinates of the current calibration point are determined according to the installation parameters of the face recognition camera, the straight-line distance of the calibration point and the inclination of the calibration point.
[0119] The embodiment of the present application determines the coordinates of the current verification point based on a face recognition camera with a distance measurement function, such as Figure 6 As shown, the face recognition camera can directly obtain the straight-line distance OA of the verification point and the inclination angle d of the verification point, and combine the camera elevation angle e to determine the horizontal and vertical coordinates of the current verification point coordinates according to trigonometric functions.
[0120] In one embodiment, the sitting posture-related data includes the length between the check point and the seat hard point and the angle between the check point and the seat hard point and the backrest;
[0121] According to the riding comfort requirements and the driver's body size data, combined with the calibration point target line equation and the sitting posture association data, the seat hard point target coordinate range and the corresponding seat back angle range are determined, including:
[0122] Determine the coordinates of the driver's ankle point and the equation of the straight line on the calibration plane coordinate system;
[0123] Determine the driver's knee point coordinate set based on the driver's ankle point coordinates, the sole straight line equation, the driver's calf length, and the comfortable range of the angle between the sole line and the calf line;
[0124] Determine the driver's hip point coordinate set according to the driver's knee point coordinate set, the driver's thigh length, and the comfortable range of the angle between the calf line and the thigh line;
[0125] Determine the seat hard point coordinate set according to the driver's hip point coordinate set and the driver's thigh thickness;
[0126] According to the seat hard point coordinate set, the comfortable range of the angle between the thigh line and the body, the target line equation of the check point, the length between the check point and the seat hard point, and the angle between the check point seat hard point connection line and the backrest, the seat hard point target coordinate range and the corresponding seat back angle range are determined. Each seat hard point target coordinate in the seat hard point target coordinate range corresponds to a seat back angle range.
[0127] The embodiment of the present application starts the comfort check from the driver's foot. First, the coordinates of the driver's ankle point and the equation of the sole of the foot are determined based on the pedal position. Then, the driver's knee point coordinate set is calculated based on the driver's calf length and the comfortable range of the angle between the foot line and the calf line in the riding comfort requirement. Then, the driver's hip point coordinate set is determined according to the driver's knee point coordinate set, the driver's thigh length and the comfortable range of the angle between the calf line and the thigh line in the riding comfort requirement. The seat hard point coordinate set can be determined according to the driver's hip point coordinate set and the driver's thigh thickness. The seat hard point coordinate set is combined with the comfortable range of the angle between the thigh line and the body, and the target line equation of the check point determined in the above steps, the length of the check point and the seat hard point, and the angle between the check point and the seat hard point connection line and the backrest, to obtain several relationship equations about the seat hard point, and the seat hard point target coordinate range and the seat back angle range are determined by solving the equation group. This seat adjustment method not only takes into account the driver's field of vision requirements and riding comfort, but also takes into account the correlation between the position adjustment of each part of the seat, so that the seat can be more intelligently adjusted adaptively.
[0128] Among them, the driver's body dimension data of the driver's calf length, the driver's thigh length and the driver's thigh thickness can be guided by the user to actively input, and can also be determined through image recognition and other methods.
[0129] like Figure 6 As shown, the steps of determining the coordinates of the driver's ankle point and the equation of the sole straight line specifically include:
[0130] Set the equation of the straight line at the bottom of the foot to Z = K foot ×X+B foot ;
[0131] The coordinates of the heel point F, the pedal protruding point G and the ankle mapping point I all satisfy the sole straight line equation, where the heel point F is on the floor line. The ordinate of the heel point F can be determined according to the vehicle size data, and three sole relationship equations can be obtained;
[0132] To obtain the driver's foot length, we can roughly assume that the ratio of the distance from the pedal protrusion point G to the heel point F to the driver's foot length is K. G-F , it is approximately assumed that the distance from the ankle mapping point I to the heel point F and the calculated ratio of the driver's foot length are K I-F , we can get two foot-sole relationship equations;
[0133] Based on the above five sole relationship equations, the coordinates of ankle mapping point I and the sole straight line equation can be solved.
[0134] Draw an ankle straight line L through ankle point J parallel to the straight line of the sole of the foot ankle , set the ankle straight line equation to Z = K ankle ×X+B ankle , where K ankle =K foot ;
[0135] The J coordinate of the ankle point satisfies the ankle straight line equation, and an ankle relationship equation is obtained;
[0136] Get the driver's ankle height, based on the straight line between the sole and the ankle L ankle The distance between is the driver's ankle height, and the distance from ankle point J to ankle mapping point I is the driver's ankle height, and two ankle relationship equations are obtained;
[0137] Based on the above three ankle relationship equations, the coordinates of the ankle point can be solved.
[0138] The step of determining the driver's knee point coordinate set according to the driver's ankle point coordinates, the sole straight line equation, the driver's calf length, and the comfortable range of the angle between the sole line and the calf line specifically includes:
[0139] Set the equation of the calf straight line to Z = K calf ×X+Bcalf ;
[0140] The coordinates of the knee point and the ankle point satisfy the straight line equation of the calf, and the relationship equations of the two calves are obtained;
[0141] The angle between the sole straight line and the calf straight line satisfies the comfortable range of the angle between the sole line and the calf line, and a calf relationship equation is obtained;
[0142] The distance between the knee point K and the ankle point J is the driver's calf length, and a calf relationship equation is obtained;
[0143] According to the above four calf relationship equations, the calf straight line equation and the coordinate set of the driver's knee point can be solved.
[0144] The step of determining the driver's hip point coordinate set according to the driver's knee point coordinate set, the driver's thigh length, and the comfortable range of the angle between the calf line and the thigh line specifically includes:
[0145] Set the equation of the thigh straight line to Z = K thigh ×X+B thigh ;
[0146] The coordinates of the knee point and the hip point satisfy the straight line equation of the thigh, and the relationship equation of the two thighs is obtained;
[0147] The angle between the calf line and the thigh line satisfies the comfortable range of the angle between the calf line and the thigh line, and a thigh relationship equation is obtained;
[0148] The distance between the knee point K and the hip point H is the driver's thigh length, and a thigh relationship equation is obtained;
[0149] According to the above four thigh relationship equations, the thigh straight line equation and the driver's hip point coordinate set can be solved.
[0150] Furthermore, since the range of the driver's hip point coordinates is limited by the fore-and-aft adjustment range of the seat, the allowable range of the driver's hip point coordinates can be determined based on the fore-and-aft adjustment range of the seat, and coordinate points in the driver's hip point coordinate set that are not within the allowable range can be removed.
[0151] The steps of determining the seat hard point coordinate set according to the driver's hip point coordinate set and the driver's thigh thickness are specifically as follows:
[0152] Subtract the driver's thigh thickness and the abscissa calculation coefficient K from the abscissa and ordinate of each driver's hip point coordinate in the driver's hip point coordinate set. thigh-abscissa and the ordinate calculation coefficient K thigh-ordinate The product of can get the seat hard point coordinate set.
[0153] The steps of determining the target coordinate range of the seat hard point and the corresponding seat back angle range according to the seat hard point coordinate set, the comfortable range of the thigh line and the body angle, the check point target line equation, the check point and the seat hard point length, and the angle between the check point seat hard point connection line and the backrest include:
[0154] Set the target coordinates of the calibration point, the target coordinates of the seat hard point and the target angle of the seat back;
[0155] The target coordinates of the check point satisfy the target line equation of the check point, and the target coordinates of the seat hard point satisfy the seat hard point coordinate set, and two check relationship equations are obtained;
[0156] The distance between the target coordinates of the check point and the target coordinates of the seat hard point is the length between the check point and the seat hard point, and a check relationship equation is obtained;
[0157] The angle between the line connecting the target coordinates of the check point and the target coordinates of the seat hard point and the backrest is equal to the angle between the line connecting the hard points of the check point and the backrest, and a check relationship equation is obtained;
[0158] The angle between the thigh and the body can be simplified to the angle between the thigh and the seat back. The angle between the thigh and the seat back satisfies the comfortable range of the angle between the thigh line and the body, and a calibration relationship equation is obtained.
[0159] According to the above five verification relationship equations, the target coordinate range of the seat hard point and the corresponding seat back angle range can be solved.
[0160] In the embodiment of the present application, after solving the target coordinate range of the seat hard point and the corresponding seat back angle range, it is necessary to convert the relationship between the calibration plane coordinate system and the actual coordinate system of the vehicle to obtain the upper and lower position range, front and rear position range and back angle range of the seat. Then, the upper and lower target positions, front and rear target positions and back angles are determined according to the user's preset requirements or preset rules. For example, a set of data with the highest upper and lower positions can be selected, or a set of data with the rearmost front and rear positions can be selected.
[0161] In one embodiment, the seat hard point target coordinate range and the corresponding seat back angle range are determined according to the riding comfort requirements and the driver's body size data in combination with the calibration point target line equation and the sitting posture association data, and further includes:
[0162] Determine the coordinates of the current verification point and the coordinates of the current second reference point on the verification plane coordinate system, wherein the second reference point is located at the driver's head and does not coincide with the verification point;
[0163] Determine the driver's height based on the current check point coordinates, the current second reference point ordinate coordinates and the standard relationship of human body dimensions;
[0164] The driver's body size data including at least the driver's calf length, the driver's thigh length and the driver's thigh thickness are determined according to the standard relationship between the driver's height and the body size.
[0165] The driver's body size data in the embodiment of the present application is determined based on the face length data collected by the face recognition camera combined with the standard relationship of body size, and there is no need for the user to actively input the size data, so as to improve the driver's user experience.
[0166] Specifically, the second reference point can be the first reference point E in the aforementioned embodiment, and the method for obtaining the coordinates of the second reference point can refer to the aforementioned embodiment, which will not be repeated here. Similarly, the length between the current check point and the current second reference point can be calculated based on the current check point coordinates and the current second reference point coordinates, and the length value is the face length data. According to the correspondence between the face length data and the height in the "Chinese Adult Body Size Standard", the driver's height can be determined, and then the corresponding driver's calf length, driver's thigh length, driver's thigh thickness and other driver's body size data can be determined based on the driver's height.
[0167] The seat adaptive adjustment method in a preferred embodiment of the present application specifically includes:
[0168] Step S801: establishing a calibration plane coordinate system, where the calibration plane coordinate system is located on a seat section plane established based on the vehicle length direction and the vehicle height direction.
[0169] Step S802: Determine the coordinates of the upper dead point of the field of view, the coordinates of the lower dead point of the field of view, and the ground projection point coordinates of the front end of the vehicle on the calibration plane coordinate system.
[0170] Step S803: Taking the ground projection point coordinates of the front end of the vehicle as a reference, determine the upper field of view requirement point coordinates and the lower field of view requirement point coordinates according to the driver's field of view requirements.
[0171] Step S804: determining an upper field of view line equation according to the upper field of view dead point coordinates and the upper field of view required point coordinates, and determining a lower field of view line equation according to the lower field of view dead point coordinates and the lower field of view required point coordinates.
[0172] Step S805: Determine the target line equation of the calibration point according to the upper visual line equation and the lower visual line equation, where the calibration point is the human eye position point.
[0173] Step S806: Obtain the straight-line distance between the calibration point and the face recognition camera, and the inclination angle of the calibration point between the straight line between the calibration point and the center point of the camera and the center line of the face recognition camera.
[0174] Step S807: Determine the coordinates of the current calibration point according to the facial recognition camera installation parameters, the straight-line distance of the calibration point, and the inclination angle of the calibration point.
[0175] Step S808: Determine the current seat hard point coordinates on the calibration plane coordinate system. The seat hard point is the connection point between the seat cushion and the seat back.
[0176] Step S809: Determine the length of the check point and the seat hard point according to the current check point coordinates and the current seat hard point coordinates.
[0177] Step S810: Obtain the current seat back angle.
[0178] Step S811: Determine the angle between the check point seat hard point connection line and the seat back according to the current check point coordinates, the current seat hard point coordinates and the current seat back angle.
[0179] Step S812: Determine the coordinates of the current calibration point and the coordinates of the current second reference point on the calibration plane coordinate system, where the second reference point is located on the driver's head and does not coincide with the calibration point.
[0180] Step S813: Determine the driver's height based on the current check point coordinates, the current second reference point ordinate and the standard relationship of human body dimensions.
[0181] Step S814: Determine the driver's body dimension data including at least the driver's calf length, the driver's thigh length and the driver's thigh thickness according to the relationship between the driver's height and the standard body dimension.
[0182] Step S815: Determine the coordinates of the driver's ankle point and the equation of the sole straight line on the calibration plane coordinate system.
[0183] Step S816: Determine the driver's knee point coordinate set based on the driver's ankle point coordinates, the sole straight line equation, the driver's calf length, and the comfortable range of the angle between the sole line and the calf line.
[0184] Step S817: Determine the driver's hip point coordinate set according to the driver's knee point coordinate set, the driver's thigh length, and the comfortable range of the angle between the calf line and the thigh line.
[0185] Step S818: Determine the seat hard point coordinate set according to the driver's hip point coordinate set and the driver's thigh thickness.
[0186] Step S819: Determine the seat hard point target coordinate range and the corresponding seat back angle range based on the seat hard point coordinate set, the comfortable range of the thigh line and body angle, the calibration point target line equation, the calibration point and the seat hard point length, and the angle between the calibration point seat hard point connection line and the backrest. Each seat hard point target coordinate in the seat hard point target coordinate range corresponds to a seat back angle range.
[0187] Step S820: Adjust the seat according to the seat hard point target coordinate range and the seat back angle range.
[0188] Among them, steps S806-S807 can be replaced by the following steps S821-S829.
[0189] Step S821: Determine the current seat back vertex coordinates on the calibration plane coordinate system.
[0190] Step S822: Determine the horizontal coordinate of the current verification point according to the horizontal coordinate of the current seat back vertex coordinate and the current estimated head length.
[0191] Step S823: Obtain the installation parameters of the face recognition camera and the imaging height of the current calibration point in the imaging area of the face recognition camera.
[0192] Step S824: Determine the vertical coordinate of the current calibration point according to the facial recognition camera installation parameters, the imaging height of the calibration point and the horizontal coordinate of the calibration point.
[0193] Step S825: Obtain the imaging height of the current first reference point in the imaging area of the face recognition camera, where the first reference point is the head position point on the same vertical line as the verification point, and the horizontal coordinate of the current verification point is used as the horizontal coordinate of the current first reference point.
[0194] Step S826: Determine the vertical coordinate of the current first reference point according to the facial recognition camera installation parameters, the reference point imaging height and the horizontal coordinate of the current first reference point.
[0195] Step S827: Determine the driver's height based on the current first reference point ordinate, the current verification point ordinate and the standard relationship of human body dimensions.
[0196] Step S828: Determine the latest estimated head length based on the driver's height and the standard relationship between human body dimensions.
[0197] Step S829: If the difference between the latest estimated head length and the current estimated head length is greater than the preset difference, the latest estimated head length is used as the current estimated head length and the process returns to step S822; otherwise, the process executes step S808.
[0198] The technical solution of the present application also provides a storage medium, which stores computer instructions. When a computer executes the computer instructions, it is used to execute the seat adaptive adjustment method in any of the aforementioned embodiments.
[0199] Figure 7 An electronic device of the present application is shown, comprising:
[0200] at least one processor 701; and,
[0201] A memory 702 is communicatively connected to the at least one processor 701; wherein,
[0202] The memory 702 stores instructions that can be executed by the at least one processor 701, and the instructions are executed by the at least one processor 701 so that the at least one processor 701 can execute all steps of the seat adaptive adjustment method in any of the aforementioned method embodiments.
[0203] The electronic device is preferably an on-board electronic control unit (ECU), and further a microcontroller unit (MCU) in the on-board electronic control unit.
[0204] Figure 7 Take a processor 701 as an example:
[0205] The electronic device may further include: an input device 703 and an output device 704 .
[0206] The processor 701, the memory 702, the input device 703 and the output device 704 may be connected via a bus or other means, and the figure takes the connection via a bus as an example.
[0207] The memory 702 is a non-volatile computer-readable storage medium that can be used to store non-volatile software programs, non-volatile computer executable programs and modules, such as program instructions / modules corresponding to the seat adaptive adjustment method in the embodiment of the present application, for example, Figure 1 The processor 701 executes various functional applications and data processing by running the non-volatile software programs, instructions and modules stored in the memory 702, that is, the seat adaptive adjustment method in the above embodiment is implemented.
[0208] The memory 702 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and applications required for at least one function; the data storage area may store data created according to the use of the seat adaptive adjustment method, etc. In addition, the memory 702 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 702 may optionally include a memory remotely arranged relative to the processor 701, and these remote memories may be connected to the device for executing the seat adaptive adjustment method via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.
[0209] The input device 703 can receive user clicks and generate signal inputs related to user settings and function control of the seat adaptive adjustment method. The output device 704 can include display devices such as display screens.
[0210] The one or more modules are stored in the memory 702 , and when executed by the one or more processors 701 , the seat adaptive adjustment method in any of the above method embodiments is executed.
[0211] The above description is only the principle and preferred embodiment of the present application. It should be pointed out that for ordinary technicians in this field, the implementation methods obtained by appropriately combining the technical solutions disclosed in different embodiments are also included in the technical scope of the present invention. On the basis of the principle of the present application, several other variations can be made, which should also be regarded as the protection scope of the present application.
Claims
1. A seat adaptive adjustment method, characterized in that: include: Establishing a calibration plane coordinate system, wherein the calibration plane coordinate system is located on a seat section plane established based on a vehicle length direction and a vehicle height direction; Determine the target line equation of the calibration point on the calibration plane coordinate system according to the driver's field of vision requirement, wherein the calibration point is located at the driver's head; Determining the sitting posture association data between the verification point and the seat hard point on the verification plane coordinate system according to the driver's sitting posture requirement, wherein the seat hard point is a point on the seat that does not move with the seat adjustment; Determine the seat hard point target coordinate range and the corresponding seat back angle range according to the riding comfort requirements and the driver's body size data in combination with the calibration point target line equation and the sitting posture association data; The seat is adjusted according to the seat hard point target coordinate range and the seat back angle range.
2. The seat adaptive adjustment method according to claim 1, characterized in that: The verification point is the eye position point, and the verification point target line equation is determined on the verification plane coordinate system according to the driver's field of vision requirements, specifically including: Determine the coordinates of the upper dead point of the field of view, the coordinates of the lower dead point of the field of view, and the ground projection point coordinates of the front end of the vehicle on the calibration plane coordinate system; Taking the ground projection point coordinates of the front end of the vehicle as a reference, determining the upper field of view requirement point coordinates and the lower field of view requirement point coordinates according to the driver's field of view requirements; Determine an upper field of view line equation according to the upper dead point coordinates of the field of view and the upper field of view required point coordinates, and determine a lower field of view line equation according to the lower dead point coordinates of the field of view and the lower field of view required point coordinates; The calibration point target line equation is determined according to the upper field of view line equation and the lower field of view line equation.
3. The seat adaptive adjustment method according to claim 1, characterized in that: The sitting posture related data includes the length of the check point and the seat hard point; Determining the sitting posture association data between the verification point and the seat hard point on the verification plane coordinate system according to the driver's sitting posture requirement specifically includes: Determining the current calibration point coordinates and the current seat hard point coordinates on the calibration plane coordinate system; The length of the check point and the seat hard point is determined according to the current check point coordinates and the current seat hard point coordinates.
4. The seat adaptive adjustment method according to claim 3, characterized in that: The sitting posture associated data also includes the angle between the hard point connection line of the check point seat and the backrest; The determining of the sitting posture association data between the checking point and the seat hard point on the checking plane coordinate system according to the driver's sitting posture requirement also includes: Get the current seat back angle; The angle between the check point seat hard point connection line and the backrest is determined according to the current check point coordinates, the current seat hard point coordinates and the current seat backrest angle.
5. The seat adaptive adjustment method according to claim 3, characterized in that: Determining the coordinates of the current calibration point on the calibration plane coordinate system specifically includes: Determining the current seat back vertex coordinates on the calibration plane coordinate system; Determining the abscissa of the current verification point according to the abscissa of the current seat back vertex coordinate and the current estimated head length; Obtaining the installation parameters of the face recognition camera and the imaging height of the current calibration point in the imaging area of the face recognition camera; The vertical coordinate of the current verification point is determined according to the installation parameters of the face recognition camera, the imaging height of the verification point and the horizontal coordinate of the verification point.
6. The seat adaptive adjustment method according to claim 5, characterized in that: The step of determining the coordinates of the current calibration point on the calibration plane coordinate system further includes: Obtaining the imaging height of the current first reference point in the imaging area of the face recognition camera, wherein the first reference point is a head position point on the same vertical line as the verification point, and the horizontal coordinate of the current verification point is used as the horizontal coordinate of the current first reference point; Determine the ordinate of the current first reference point according to the installation parameters of the face recognition camera, the imaging height of the reference point and the abscissa of the current first reference point; Determine the height of the driver according to the current first reference point ordinate, the current verification point ordinate and the standard relationship of human body size; Determine the latest estimated head length based on the standard relationship between the driver's height and human body dimensions; If the difference between the latest estimated head length and the current estimated head length is greater than the preset difference, the latest estimated head length is used as the current estimated head length, and the step of determining the horizontal coordinate of the verification point based on the horizontal coordinate of the current seat back vertex coordinate and the current estimated head length is returned.
7. The seat adaptive adjustment method according to claim 3, characterized in that: Determining the coordinates of the current calibration point on the calibration plane coordinate system specifically includes: Obtain the straight-line distance between the check point and the face recognition camera, and the inclination angle of the check point between the straight line between the check point and the center point of the camera and the center line of the face recognition camera; The coordinates of the current verification point are determined according to the installation parameters of the face recognition camera, the straight-line distance of the verification point and the inclination angle of the verification point.
8. The seat adaptive adjustment method according to claim 1, characterized in that: The sitting posture associated data includes the length between the check point and the seat hard point and the angle between the check point and the seat hard point connection line and the backrest; The determining of the seat hard point target coordinate range and the corresponding seat back angle range according to the riding comfort requirements and the driver's body size data in combination with the check point target line equation and the sitting posture associated data specifically includes: Determining the coordinates of the driver's ankle point and the equation of the sole straight line on the calibration plane coordinate system; Determine the driver's knee point coordinate set according to the driver's ankle point coordinates, the sole straight line equation, the driver's calf length, and the comfortable range of the angle between the sole line and the calf line; Determine the driver's hip point coordinate set according to the driver's knee point coordinate set, the driver's thigh length, and the comfortable range of the angle between the calf line and the thigh line; Determine a seat hard point coordinate set according to the driver's hip point coordinate set and the driver's thigh thickness; According to the seat hard point coordinate set, the comfortable range of the angle between the thigh line and the body, the target line equation of the check point, the length between the check point and the seat hard point, and the angle between the line connecting the check point seat hard point and the backrest, the seat hard point target coordinate range and the corresponding seat back angle range are determined, and each seat hard point target coordinate in the seat hard point target coordinate range corresponds to a seat back angle range.
9. The seat adaptive adjustment method according to claim 8, characterized in that: The method of determining the seat hard point target coordinate range and the corresponding seat back angle range according to the riding comfort requirement and the driver's body size data in combination with the check point target line equation and the sitting posture associated data includes: Determining the coordinates of the current verification point and the coordinates of the current second reference point on the verification plane coordinate system, wherein the second reference point is located at the driver's head and does not coincide with the verification point; Determine the driver's height based on the current check point coordinates, the current second reference point ordinates and a standard relationship for human body dimensions; The driver's body size data including at least the driver's calf length, the driver's thigh length and the driver's thigh thickness are determined according to the standard relationship between the driver's height and the body size.
10. A storage medium, characterized in that: The storage medium stores computer instructions, and when a computer executes the computer instructions, it is used to execute the seat adaptive adjustment method according to any one of claims 1 to 9.
11. An electronic device, characterized in that: comprising at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the seat adaptive adjustment method as described in any one of claims 1 to 9.
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