Steering wheel adjustment method, device, computer equipment and storage medium

Abstract

The present application relates to a steering wheel adjustment method, device, computer equipment and storage medium, the method comprising: obtaining a basic value of a position parameter of a steering wheel, the position parameter at least including a steering wheel height and a front-rear distance of the steering wheel relative to a seat; obtaining road data, the road data including traffic flow; determining a correction value of the position parameter according to the road data; determining a target value of the position parameter according to the basic value and the correction value; and controlling the steering wheel to adjust to a target position according to the target value. The method of the present application is used to improve the problem in the prior art that the steering wheel cannot automatically provide a suitable position for the driver.

Description

Technical Field

[0001] The present application relates to the field of vehicle control technology, and in particular to a steering wheel adjustment method, device, computer equipment and storage medium. Background Art

[0002] Intelligent technologies are gradually being applied to vehicles to improve their safety, comfort, convenience and efficiency.

[0003] In traditional cars, the vehicle's steering wheel requires manual adjustment of parameters such as position, which is rather cumbersome. In addition, during driving, it is impossible to intelligently provide the driver with a suitable steering wheel position based on road conditions. Summary of the invention

[0004] Based on this, a steering wheel adjustment method, device, computer equipment and storage medium are provided to improve the problem in the prior art that the steering wheel cannot automatically provide a suitable position for the driver.

[0005] In one aspect, a steering wheel adjustment method is provided, comprising:

[0006] Obtaining basic values ​​of position parameters of the steering wheel, the position parameters at least including a steering wheel height and a front-to-rear distance of the steering wheel relative to a seat, wherein the basic values ​​of the position parameters are determined according to current driver parameters, wherein the driver parameters at least include height, the basic value of the steering wheel height is positively correlated with the height, and the basic value of the front-to-rear distance is positively correlated with the height;

[0007] Acquiring road data, wherein the road data includes traffic flow;

[0008] Determining a correction value of the position parameter according to the road data includes:

[0009] Determining a correction value of the steering wheel height and a correction value of the front-rear distance according to the traffic flow, wherein the correction value of the steering wheel height is positively correlated with the traffic flow; and the correction value of the front-rear distance is negatively correlated with the traffic flow;

[0010] Determining a target value of the position parameter according to the base value and the correction value;

[0011] According to the target value, the steering wheel is controlled to be adjusted to the target position.

[0012] In one embodiment, the road data further includes road width;

[0013] Determining the correction value of the position parameter according to the road data includes:

[0014] According to the road width, a correction value of the steering wheel height and a correction value of the front-rear distance are determined, wherein the correction value of the steering wheel height is negatively correlated with the road width, and the correction value of the front-rear distance is positively correlated with the road width.

[0015] In one embodiment, the road data further includes road curvature;

[0016] Determining the correction value of the position parameter according to the road data includes:

[0017] According to the road curvature, a correction value of the steering wheel height and a correction value of the front-rear distance are determined, wherein the correction value of the steering wheel height is positively correlated with the road curvature, and the correction value of the front-rear distance is negatively correlated with the road curvature.

[0018] In one embodiment, the road data also includes the current driving distance of the vehicle;

[0019] Determining the correction value of the position parameter according to the road data includes:

[0020] According to the current driving distance, the correction value of the steering wheel height and the correction value of the front-to-back distance are determined, wherein the correction value of the steering wheel height is positively correlated with the current driving distance, and the correction value of the front-to-back distance is negatively correlated with the current driving distance.

[0021] In one embodiment, the road data further includes a minimum speed limit of the road;

[0022] Determining the correction value of the position parameter according to the road data includes:

[0023] According to the minimum speed limit, a correction value of the steering wheel height and a correction value of the front-rear distance are determined, wherein the correction value of the steering wheel height is positively correlated with the minimum speed limit, and the correction value of the front-rear distance is negatively correlated with the minimum speed limit.

[0024] In one embodiment, the method further comprises:

[0025] Acquire a basic value of an operating parameter of the steering wheel, wherein the operating parameter at least includes a damping coefficient of the operating steering wheel;

[0026] The obtaining of road data includes obtaining a friction coefficient of the road;

[0027] Determining a correction value of the operating parameter according to the road data includes:

[0028] A correction value of a damping coefficient of an operating steering wheel is determined according to the friction coefficient, wherein the correction value of the damping coefficient is negatively correlated with the friction coefficient.

[0029] In one embodiment, before controlling the steering wheel to adjust to the target position, the method further includes:

[0030] Acquiring historical driving data, wherein the historical driving data includes historical road data, historical driver parameters, and historical position parameters of a steering wheel;

[0031] comparing current road data with historical road data, current driver parameters with historical driver parameters, the historical location parameters and the current target value;

[0032] When the current road data is inconsistent with the historical road data, or the current driver parameters are inconsistent with the historical driver parameters, or the historical position parameters are inconsistent with the current target value, a steering wheel position prompt message is sent to prompt the driver;

[0033] In response to the driver's confirmation instruction, the steering wheel is controlled to be adjusted to the target position.

[0034] In another aspect, a steering wheel adjustment device is provided, the device comprising:

[0035] a basic value determination module, configured to obtain basic values ​​of position parameters of the steering wheel, wherein the position parameters at least include a steering wheel height and a front-to-rear distance of the steering wheel relative to a seat, wherein the basic values ​​of the position parameters are determined according to current driver parameters, wherein the driver parameters at least include height, the basic value of the steering wheel height is positively correlated with the height, and the basic value of the front-to-rear distance is positively correlated with the height;

[0036] A road data acquisition module, used to acquire road data, wherein the road data includes traffic flow;

[0037] A correction value determination module, used to determine the correction value of the position parameter according to the road data, including: determining the correction value of the steering wheel height and the correction value of the front-to-back distance according to the traffic flow, wherein the correction value of the steering wheel height is positively correlated with the traffic flow; the correction value of the front-to-back distance is negatively correlated with the traffic flow;

[0038] The execution module is used to determine the target value of the position parameter according to the basic value and the correction value; and control the steering wheel to adjust to the target position according to the target value.

[0039] In yet another aspect, a computer device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the steps of the method are implemented when the processor executes the computer program.

[0040] A computer-readable storage medium is also provided, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the method described are implemented.

[0041] The above-mentioned steering wheel adjustment method, device, computer equipment and storage medium determine the basic value of the steering wheel position parameter based on the current driver parameters, and determine the correction value of the position parameter based on the basic value through road data. The road parameters include traffic flow, and the correction value of the steering wheel height is positively correlated with the traffic flow; the correction value of the front and rear distance is negatively correlated with the traffic flow. Therefore, in road conditions with large traffic flow, the steering wheel is closer to the driver and is more suitable for the driver to operate the steering wheel, while in road conditions with small traffic flow, the steering wheel is farther away from the driver, and the driver's arms and neck are more relaxed. Therefore, the present application achieves the effect of intelligently providing the driver with a suitable steering wheel position based on the actual road conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 A schematic diagram of a flow chart of a steering wheel adjustment method in one embodiment;

[0043] Figure 2 is a structural block diagram of a steering wheel adjustment device in one embodiment;

[0044] Figure 3 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0046] At present, some vehicles are equipped with an electric steering wheel adjustment mechanism, which drives the movement of the steering wheel by an electric motor to adjust the position and angle of the steering wheel. The electric steering wheel adjustment is divided into two-way adjustment and four-way adjustment. The two-way adjustment mainly involves adjustment in the up and down directions, which can meet the needs of drivers of different body shapes for the upper and lower space between the steering wheel and the driver. In addition to up and down adjustment, the four-way adjustment also supports front and rear adjustment, which can adjust the distance of the steering wheel relative to the seat to meet the needs of drivers of different body shapes for the distance between the steering wheel and themselves.

[0047] The steering wheel adjustment of the vehicle is usually performed based on manual operation of an adjustment lever or button on the steering wheel, and cannot provide the driver with appropriate service based on actual road conditions.

[0048] The present application provides a steering wheel adjustment method, which can provide intelligent adjustment requirements for the driver based on actual road conditions.

[0049] In one embodiment, the steering wheel adjustment method is as follows: Figure 1 As shown, the following steps are included:

[0050] Step 101, obtaining the basic value of the position parameter of the steering wheel.

[0051] Exemplarily, the position parameters of the steering wheel include the height of the steering wheel and the front-rear distance of the steering wheel relative to the seat.

[0052] In this embodiment, the steering wheel height refers to the vertical distance between the bottom of the steering wheel and the ground of the driver's seat, without considering the changes in the steering wheel angle and the changes in the driving operation caused by the seat height change.

[0053] Similarly, this embodiment is described by taking a fixed seat position as an example, without considering the change in the distance of the steering wheel relative to the seat caused by the change in the seat position, and the front and rear distance is measured based on the bottom of the steering wheel and the front edge of the seat.

[0054] The basic value can be a typical value determined during the design and production process of the vehicle to ensure that the driver can operate the steering wheel and maintain a normal driving posture. During the design and production process, a linear mapping relationship between the basic value and the driver's parameters is established. Driver parameters such as the driver's height and the position of the steering wheel need to adapt to the driver's physical characteristics. For shorter drivers, they may need to adjust the steering wheel closer to their body to better reach and operate the steering wheel. For taller drivers, they may need to adjust the steering wheel farther away from their body. Therefore, during the calibration process, the basic value of the steering wheel height is positively correlated with the height, and the basic value of the front-to-back distance is positively correlated with the height.

[0055] In addition, the driver may customize the height and front-to-rear distance of the steering wheel before using the vehicle. When the customized parameters are obtained, the controller may also update the customized parameters to the latest basic values ​​and update the linear mapping relationship to a mapping table.

[0056] During actual driving, the vehicle obtains the current driver parameters based on sensor technology, and searches for the corresponding basic values ​​from the mapping relationship based on the current driver parameters. For example, the ranging sensor can be used to measure the size of the driver's head. By combining the size of the head with the driver's head and body ratio, the driver's height can be estimated. Alternatively, the height sensor can detect the height of the top of the driver's head relative to the seat ground when the driver is in the driving position, and use this height as the basis for searching the basic value.

[0057] Step 102: Acquire road data, where the road data includes traffic flow.

[0058] In intelligent vehicles, road data can be obtained in a variety of ways. For example, traffic flow can be obtained through perception and recognition technology.

[0059] In one implementation, traffic flow may simply refer to the number of vehicles within a certain distance on the road. In highways, elevated roads, and other road conditions, obstacles are usually other vehicles. Visual recognition technology identifies targets by marking the bounding box of specific targets in images or videos. By using target detection algorithms, the number of targets, i.e., vehicles, in an image can be determined.

[0060] Furthermore, the controller relies on perception and recognition technology, usually using multiple cameras to obtain images of the surrounding environment. Through computer vision algorithms, the system can analyze the shapes, contours and movements in the images to identify and distinguish vehicles and pedestrians, or use lidar to use laser beams to scan the surrounding environment and create a three-dimensional point cloud map based on the returned laser reflection signal. By analyzing and processing the point cloud, the system can detect and distinguish vehicles and pedestrians. The controller regards both vehicles and pedestrians as obstacles and counts the total number of both in front of the vehicle as traffic flow.

[0061] In particular, the controller can assign different weights to the number of vehicles and pedestrians. Generally, the movement of pedestrians has more uncertainty, so a larger weight is assigned to them, and the traffic flow is obtained based on a weighted approach.

[0062] Step 103: Determine a correction value of the position parameter according to the road data.

[0063] Exemplarily, the correction value of the steering wheel height is positively correlated with the traffic flow, and the correction value of the front-rear distance is negatively correlated with the traffic flow.

[0064] The correction value can be defined in a set of fixed values, such as [-a, 0, b]. Taking the correction of the steering wheel height as an example, a positive correction value indicates that the steering wheel height is increased, and a negative correction value indicates that the steering wheel height is decreased. When the traffic flow is within a certain flow range (such as a small number of pedestrians or vehicles), the correction value is 0; when the traffic flow is greater than the flow range (a large number of pedestrians or vehicles), the correction value is b, and the steering wheel height is increased; when the traffic flow is less than the flow range, the correction value is -a, and the steering wheel height is lowered.

[0065] Similarly, the correction value of the front and rear distance can also be defined in a set of fixed values. A positive correction value indicates that the steering wheel is far away from the seat, and vice versa. In the case of heavy traffic, the correction value is negative, and vice versa.

[0066] It is understandable that the correction value may take more values, and in some embodiments, the height may be dynamically adjusted in a linear manner.

[0067] Step 104, determining a target value of the position parameter according to the basic value and the correction value; and controlling the steering wheel to adjust to a target position according to the target value.

[0068] By adding the correction value to the basic value, the target value of the steering wheel height and the target value of the front-rear distance of the steering wheel can be obtained.

[0069] In the above embodiment, it can be understood that when the traffic flow is at a high level, the steering wheel height will be higher and the front-to-back distance will be closer. Relative to the driver, the steering wheel will be higher and closer to the driver, and the driver's arms and shoulders will be more likely to drive the steering wheel, thereby facilitating the driver to operate stably; when the traffic flow is at a low level, the steering wheel height will be lower and the front-to-back distance will be farther, which is conducive to relaxing the driver's shoulders and arms.

[0070] Through the above steering wheel adjustment method, a suitable steering wheel position is intelligently provided to the driver, thereby improving the user experience.

[0071] In another embodiment, the road data further includes road width, and the position of the steering wheel is adjusted based on the road width.

[0072] Exemplarily, the road width can be the real-time width in front of the vehicle. The real-time width can be identified by different ways of sensors. For example, a laser radar can emit a laser beam and measure its reflection time on a target object to calculate the distance between the target object and the sensor. The width of the road can be determined by scanning the laser beam to cover the entire road width range. Alternatively, an on-board camera can capture an image of the road and use a computer vision algorithm for image processing and analysis. The width of the road can be inferred by identifying the position and shape of the roadside and lane lines. Alternatively, a positioning system can provide the current location information of the vehicle. The width of the road can be inferred by marking the boundaries of the road on a map.

[0073] In the actual implementation process, the repeated changes in real-time width are input through filtering, etc. In another embodiment, the width of the road on which the vehicle is located is monitored in real time, so as to obtain the average value of the road width within a certain distance traveled by the vehicle as output.

[0074] In particular, different weights can be configured for the real-time width and the average road width, and the two data can be combined as the road width output.

[0075] Determining the correction value of the position parameter based on the road data includes determining the correction value of the steering wheel height and the correction value of the front-rear distance based on the road width.

[0076] Specifically, the correction value of the steering wheel height is negatively correlated with the road width, and the correction value of the front-rear distance is positively correlated with the road width.

[0077] It is understandable that during driving, the width of the road directly affects the driving space of the vehicle. The driver needs to pay more attention to driving on a narrower road. Narrower roads require the driver to control the steering wheel more accurately, so the steering wheel is in a position that is easier to control accurately. When driving on a wider road, the driver can operate in a more flexible way.

[0078] In another embodiment, the road data further includes road curvature, and the position parameters of the steering wheel are adjusted based on the road curvature.

[0079] On the one hand, the road curvature reflects the tortuosity of the road on the horizontal plane. By obtaining the path of the road at a certain distance ahead of the vehicle, the path is mapped to the horizontal plane, that is, the map plane, and the curvature of each point on the path on the horizontal plane is calculated. The road curvature is obtained by numerical integration of the curvature. The greater the road curvature, the more tortuous the road ahead. Numerical integration refers to the integration of the absolute value of the curvature of each point.

[0080] On the other hand, the road curvature reflects the slope undulation of the road on the vertical plane. For example, the slope value of the road is obtained by mapping the slope of the road ahead of the vehicle, the path is mapped on the vertical plane, the curvature of each point of the path on the vertical plane is calculated, and the road curvature is obtained by numerical integration of the curvature. The greater the road curvature, the greater the undulation of the road ahead.

[0081] In particular, the curvature of each point on the horizontal plane of the road is numerically integrated to obtain the first road curvature, the curvature of each point on the vertical plane of the road is numerically integrated to obtain the second road curvature, and the two road curvatures are weighted to obtain the final road curvature.

[0082] According to the road curvature, the correction value of the steering wheel height and the correction value of the front-rear distance are determined. Specifically, the correction value of the steering wheel height is positively correlated with the road curvature, and the correction value of the front-rear distance is negatively correlated with the road curvature.

[0083] On a road with many twists and turns and undulations, the driver needs to operate the steering wheel more stably, so the steering wheel is set higher and closer to the driver; otherwise, it is set away from the driver.

[0084] In another embodiment, the road data also includes the vehicle's current driving distance, which is the real-time distance of the current trip. The correction value of the steering wheel height and the correction value of the front-to-rear distance are determined based on the current driving distance. Specifically, the correction value of the steering wheel height is positively correlated with the current driving distance, and the correction value of the front-to-rear distance is negatively correlated with the current driving distance.

[0085] In this embodiment, as the driving distance increases, the steering wheel height is moved higher and closer to the driver. During long-distance driving, the leg room is increased to keep the legs comfortable. In addition, the steering wheel closer to the driver helps the driver to focus more on driving.

[0086] In another embodiment, the road data also includes a minimum speed limit for the road. The road type can be divided into a high-speed section and a non-high-speed section according to the minimum speed limit. The correction value of the steering wheel height and the correction value of the front-to-back distance are determined according to the minimum speed limit, wherein the correction value of the steering wheel height is positively correlated with the minimum speed limit, and the correction value of the front-to-back distance is negatively correlated with the minimum speed limit. Therefore, on sections where high-speed driving is allowed, the steering wheel position is higher and closer to the driver to facilitate faster response to operations.

[0087] In the above-mentioned implementation, multi-parameter control can be performed simultaneously based on a weighted manner, and different weighting coefficients are configured for different road data.

[0088] In some other embodiments, it also includes:

[0089] A basic value of an operating parameter of the steering wheel is obtained, where the operating parameter at least includes a damping coefficient of the operating steering wheel, and the basic value of the damping coefficient is, for example, a commonly used damping coefficient of the steering wheel.

[0090] The obtaining of road data includes obtaining a friction coefficient of the road;

[0091] For example, in a laboratory or a specific test site, a friction tester or a friction coefficient measuring instrument can be used to measure the friction coefficient of road surfaces of different materials. During actual driving, the common friction coefficient of this type of road surface can be found by identifying the road surface.

[0092] In particular, rainy and snowy weather has a huge impact on the friction coefficient of the road. Vehicles can identify the weather by installing specific weather monitoring units and then correct the friction coefficient.

[0093] In this embodiment, determining the correction value of the operating parameter according to the road data includes:

[0094] A correction value of a damping coefficient of an operating steering wheel is determined according to the friction coefficient, wherein the correction value of the damping coefficient is negatively correlated with the friction coefficient.

[0095] When the friction coefficient is low, the damping coefficient of the steering wheel is increased to provide better handling and stability.

[0096] In some embodiments, the lateral position of the steering wheel can also be controlled. Specifically, in different road conditions, the lateral position of the steering wheel may need to be fine-tuned. For example, when driving on a narrow road, in order to better observe the conditions on both sides of the road, the driver may adjust the steering wheel slightly inward. On a wide road, in order to obtain a wider field of view, the steering wheel may be adjusted slightly outward.

[0097] The steering wheel adjustment method provided in this application also performs execution confirmation by obtaining the driver's instructions when formally adjusting the steering wheel position. Specifically:

[0098] Before controlling the steering wheel to be adjusted to the target position, acquiring historical driving data, the historical driving data including historical road data, historical driver parameters, and historical position parameters of the steering wheel;

[0099] comparing current road data with historical road data, current driver parameters with historical driver parameters, the historical location parameters and the current target value;

[0100] When the current road data is inconsistent with the historical road data, or the current driver parameters are inconsistent with the historical driver parameters, or the historical position parameters are inconsistent with the current target value, a steering wheel position prompt message is sent to prompt the driver;

[0101] In response to the driver's confirmation instruction, the steering wheel is controlled to be adjusted to the target position.

[0102] It can be understood that the historical road data includes parameters such as traffic flow, road width, road curvature or the distance of each historical trip of the vehicle, and the minimum speed limit of the road during the vehicle's historical journey; when road data that has never appeared before appears, a prompt is executed to ask the driver whether to intelligently adjust the steering wheel position.

[0103] Historical driver parameters include, for example, the height of the driver during historical trips. When the height changes significantly, prompts will be given.

[0104] When the target position calculated this time is at a position that has never appeared in the historical journey, a prompt is executed, and after the driver confirms, the steering wheel is controlled to adjust to the target position.

[0105] It should be understood that although Figure 1The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, Figure 1 At least part of the steps may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least part of the sub-steps or stages of other steps.

[0106] In one embodiment, Figure 2 As shown, a steering wheel adjustment device is provided, comprising: a basic value determination module 201, a road data acquisition module 202, a correction value determination module 203 and an execution module 204, wherein:

[0107] A basic value determination module 201 is used to obtain basic values ​​of position parameters of the steering wheel, wherein the position parameters at least include a steering wheel height and a front-to-rear distance of the steering wheel relative to a seat, wherein the basic values ​​of the position parameters are determined according to current driver parameters, wherein the driver parameters at least include height, the basic value of the steering wheel height is positively correlated with the height, and the basic value of the front-to-rear distance is positively correlated with the height;

[0108] A road data acquisition module 202, used to acquire road data, wherein the road data includes traffic flow;

[0109] The correction value determination module 203 is used to determine the correction value of the position parameter according to the road data, including: determining the correction value of the steering wheel height and the correction value of the front-to-back distance according to the traffic flow, wherein the correction value of the steering wheel height is positively correlated with the traffic flow; the correction value of the front-to-back distance is negatively correlated with the traffic flow;

[0110] The execution module 204 is used to determine the target value of the position parameter according to the basic value and the correction value; and control the steering wheel to adjust to the target position according to the target value.

[0111] The above-mentioned steering wheel adjustment device determines the basic value of the steering wheel position parameter based on the current driver parameters, and determines the correction value of the position parameter based on the basic value through road data. The road parameters include traffic flow. The correction value of the steering wheel height is positively correlated with the traffic flow; the correction value of the front and rear distance is negatively correlated with the traffic flow. Therefore, in road conditions with heavy traffic flow, the steering wheel is closer to the driver and more suitable for the driver to operate the steering wheel. In road conditions with light traffic flow, the steering wheel is farther away from the driver, and the driver's arms and neck are more relaxed. Therefore, the present application achieves the effect of intelligently providing the driver with a suitable steering wheel position based on the actual road conditions.

[0112] In one embodiment, the road data acquisition module 202 is used to obtain the road width, and the correction value determination module 203 is used to determine the correction value of the steering wheel height and the correction value of the front-to-back distance according to the road width, wherein the correction value of the steering wheel height is negatively correlated with the road width, and the correction value of the front-to-back distance is positively correlated with the road width.

[0113] In one embodiment, the road data acquisition module 202 is used to acquire the road curvature; the correction value determination module 203 is used to determine the correction value of the steering wheel height and the correction value of the front-to-back distance according to the road curvature, wherein the correction value of the steering wheel height is positively correlated with the road curvature, and the correction value of the front-to-back distance is negatively correlated with the road curvature.

[0114] In one embodiment, the road data acquisition module 202 is used to obtain the vehicle's current driving distance; the correction value determination module 203 is used to determine the correction value of the steering wheel height and the correction value of the front-to-rear distance based on the current driving distance, wherein the correction value of the steering wheel height is positively correlated with the current driving distance, and the correction value of the front-to-rear distance is negatively correlated with the current driving distance.

[0115] In one embodiment, the road data acquisition module 202 is used to obtain the minimum speed limit of the road; the correction value determination module 203 is used to determine the correction value of the steering wheel height and the correction value of the front-to-back distance according to the minimum speed limit, wherein the correction value of the steering wheel height is positively correlated with the minimum speed limit, and the correction value of the front-to-back distance is negatively correlated with the minimum speed limit.

[0116] The basic value determination module 201 is used to obtain the basic value of the operating parameters of the steering wheel, and the operating parameters at least include the damping coefficient of the operating steering wheel; the road data acquisition module 202 is used to obtain the friction coefficient of the road, and the correction value determination module 203 is used to determine the correction value of the damping coefficient of the operating steering wheel based on the friction coefficient, wherein the correction value of the damping coefficient is negatively correlated with the friction coefficient.

[0117] In one embodiment, the device also includes a prompt module for obtaining historical driving data, wherein the historical driving data includes historical road data, historical driver parameters, and historical position parameters of the steering wheel; comparing current road data with historical road data, current driver parameters with historical driver parameters, the historical position parameters and the current target value; when the current road data is inconsistent with the historical road data, or the current driver parameters are inconsistent with the historical driver parameters, or the historical position parameters are inconsistent with the current target value, a steering wheel position prompt message is sent to prompt the driver, and the execution module 204 controls the steering wheel to adjust to the target position in response to the driver's confirmation indication.

[0118] The specific definition of the steering wheel adjustment device can be found in the definition of the steering wheel adjustment method above, which will not be repeated here. Each module in the above steering wheel adjustment device can be implemented in whole or in part by software, hardware and a combination thereof. Each of the above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0119] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 3 As shown. The computer device includes a processor, a memory, a network interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a steering wheel adjustment method is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device housing, or an external keyboard, touchpad or mouse, etc.

[0120] Those skilled in the art will understand that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0121] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the following steps are implemented:

[0122] Obtaining basic values ​​of position parameters of the steering wheel, the position parameters at least including a steering wheel height and a front-to-rear distance of the steering wheel relative to a seat, wherein the basic values ​​of the position parameters are determined according to current driver parameters, wherein the driver parameters at least include height, the basic value of the steering wheel height is positively correlated with the height, and the basic value of the front-to-rear distance is positively correlated with the height;

[0123] Acquiring road data, wherein the road data includes traffic flow;

[0124] Determining a correction value of the position parameter according to the road data includes:

[0125] Determining a correction value of the steering wheel height and a correction value of the front-rear distance according to the traffic flow, wherein the correction value of the steering wheel height is positively correlated with the traffic flow; and the correction value of the front-rear distance is negatively correlated with the traffic flow;

[0126] Determining a target value of the position parameter according to the base value and the correction value;

[0127] According to the target value, the steering wheel is controlled to be adjusted to the target position.

[0128] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0129] The road data also includes road width;

[0130] Determining the correction value of the position parameter according to the road data includes:

[0131] According to the road width, a correction value of the steering wheel height and a correction value of the front-rear distance are determined, wherein the correction value of the steering wheel height is negatively correlated with the road width, and the correction value of the front-rear distance is positively correlated with the road width.

[0132] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0133] The road data also includes road curvature;

[0134] Determining the correction value of the position parameter according to the road data includes:

[0135] According to the road curvature, a correction value of the steering wheel height and a correction value of the front-rear distance are determined, wherein the correction value of the steering wheel height is positively correlated with the road curvature, and the correction value of the front-rear distance is negatively correlated with the road curvature.

[0136] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0137] The road data also includes the current driving distance of the vehicle;

[0138] Determining the correction value of the position parameter according to the road data includes:

[0139] According to the current driving distance, the correction value of the steering wheel height and the correction value of the front-to-back distance are determined, wherein the correction value of the steering wheel height is positively correlated with the current driving distance, and the correction value of the front-to-back distance is negatively correlated with the current driving distance.

[0140] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0141] The road data also includes the minimum speed limit of the road;

[0142] Determining the correction value of the position parameter according to the road data includes:

[0143] According to the minimum speed limit, a correction value of the steering wheel height and a correction value of the front-rear distance are determined, wherein the correction value of the steering wheel height is positively correlated with the minimum speed limit, and the correction value of the front-rear distance is negatively correlated with the minimum speed limit.

[0144] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0145] Acquire a basic value of an operating parameter of the steering wheel, wherein the operating parameter at least includes a damping coefficient of the operating steering wheel;

[0146] The obtaining of road data includes obtaining a friction coefficient of the road;

[0147] Determining a correction value of the operating parameter according to the road data includes:

[0148] A correction value of a damping coefficient of an operating steering wheel is determined according to the friction coefficient, wherein the correction value of the damping coefficient is negatively correlated with the friction coefficient.

[0149] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0150] Obtaining basic values ​​of position parameters of the steering wheel, the position parameters at least including a steering wheel height and a front-to-rear distance of the steering wheel relative to a seat, wherein the basic values ​​of the position parameters are determined according to current driver parameters, wherein the driver parameters at least include height, the basic value of the steering wheel height is positively correlated with the height, and the basic value of the front-to-rear distance is positively correlated with the height;

[0151] Acquiring road data, wherein the road data includes traffic flow;

[0152] Determining a correction value of the position parameter according to the road data includes:

[0153] Determining a correction value of the steering wheel height and a correction value of the front-rear distance according to the traffic flow, wherein the correction value of the steering wheel height is positively correlated with the traffic flow; and the correction value of the front-rear distance is negatively correlated with the traffic flow;

[0154] Determining a target value of the position parameter according to the base value and the correction value;

[0155] According to the target value, the steering wheel is controlled to be adjusted to the target position.

[0156] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0157] The road data also includes road width;

[0158] Determining the correction value of the position parameter according to the road data includes:

[0159] According to the road width, a correction value of the steering wheel height and a correction value of the front-rear distance are determined, wherein the correction value of the steering wheel height is negatively correlated with the road width, and the correction value of the front-rear distance is positively correlated with the road width.

[0160] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0161] The road data also includes road curvature;

[0162] Determining the correction value of the position parameter according to the road data includes:

[0163] According to the road curvature, a correction value of the steering wheel height and a correction value of the front-rear distance are determined, wherein the correction value of the steering wheel height is positively correlated with the road curvature, and the correction value of the front-rear distance is negatively correlated with the road curvature.

[0164] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0165] The road data also includes the current driving distance of the vehicle;

[0166] Determining the correction value of the position parameter according to the road data includes:

[0167] According to the current driving distance, the correction value of the steering wheel height and the correction value of the front-to-back distance are determined, wherein the correction value of the steering wheel height is positively correlated with the current driving distance, and the correction value of the front-to-back distance is negatively correlated with the current driving distance.

[0168] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0169] The road data also includes the minimum speed limit of the road;

[0170] Determining the correction value of the position parameter according to the road data includes:

[0171] According to the minimum speed limit, a correction value of the steering wheel height and a correction value of the front-rear distance are determined, wherein the correction value of the steering wheel height is positively correlated with the minimum speed limit, and the correction value of the front-rear distance is negatively correlated with the minimum speed limit.

[0172] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0173] Acquire a basic value of an operating parameter of the steering wheel, wherein the operating parameter at least includes a damping coefficient of the operating steering wheel;

[0174] The obtaining of road data includes obtaining a friction coefficient of the road;

[0175] Determining a correction value of the operating parameter according to the road data includes:

[0176] A correction value of a damping coefficient of an operating steering wheel is determined according to the friction coefficient, wherein the correction value of the damping coefficient is negatively correlated with the friction coefficient.

[0177] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing related hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct RAMbus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM), etc.

[0178] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0179] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A steering wheel adjustment method, characterized in that: include: Obtaining basic values ​​of position parameters of the steering wheel, the position parameters at least including a steering wheel height and a front-to-rear distance of the steering wheel relative to a seat, wherein the basic values ​​of the position parameters are determined according to current driver parameters, wherein the driver parameters at least include height, the basic value of the steering wheel height is positively correlated with the height, and the basic value of the front-to-rear distance is positively correlated with the height; Acquire road data, the road data including traffic flow, the traffic flow is obtained by weighting the number of vehicles and pedestrians within a certain distance, wherein the weight of the number of pedestrians is greater than the weight of the number of vehicles; Determining a correction value of the position parameter according to the road data includes: Determining a correction value of the steering wheel height and a correction value of the front-rear distance according to the traffic flow, wherein the correction value of the steering wheel height is positively correlated with the traffic flow; and the correction value of the front-rear distance is negatively correlated with the traffic flow; Determining a target value of the position parameter according to the base value and the correction value; According to the target value, the steering wheel is controlled to be adjusted to the target position.

2. The steering wheel adjustment method according to claim 1, characterized in that: The road data also includes road width; Determining the correction value of the position parameter according to the road data includes: According to the road width, a correction value of the steering wheel height and a correction value of the front-rear distance are determined, wherein the correction value of the steering wheel height is negatively correlated with the road width, and the correction value of the front-rear distance is positively correlated with the road width.

3. The steering wheel adjustment method according to claim 1, characterized in that: The road data also includes road curvature; Determining the correction value of the position parameter according to the road data includes: According to the road curvature, a correction value of the steering wheel height and a correction value of the front-rear distance are determined, wherein the correction value of the steering wheel height is positively correlated with the road curvature, and the correction value of the front-rear distance is negatively correlated with the road curvature.

4. The steering wheel adjustment method according to claim 1, characterized in that: The road data also includes the current driving distance of the vehicle; Determining the correction value of the position parameter according to the road data includes: According to the current driving distance, the correction value of the steering wheel height and the correction value of the front-to-back distance are determined, wherein the correction value of the steering wheel height is positively correlated with the current driving distance, and the correction value of the front-to-back distance is negatively correlated with the current driving distance.

5. The steering wheel adjustment method according to claim 1, characterized in that: The road data also includes the minimum speed limit of the road; Determining the correction value of the position parameter according to the road data includes: According to the minimum speed limit, a correction value of the steering wheel height and a correction value of the front-rear distance are determined, wherein the correction value of the steering wheel height is positively correlated with the minimum speed limit, and the correction value of the front-rear distance is negatively correlated with the minimum speed limit.

6. The steering wheel adjustment method according to claim 1, characterized in that: The method further comprises: Acquire a basic value of an operating parameter of the steering wheel, wherein the operating parameter at least includes a damping coefficient of the operating steering wheel; The obtaining of road data includes obtaining a friction coefficient of the road; Determining a correction value of the operating parameter according to the road data includes: A correction value of a damping coefficient of an operating steering wheel is determined according to the friction coefficient, wherein the correction value of the damping coefficient is negatively correlated with the friction coefficient.

7. The steering wheel adjustment method according to claim 1, characterized in that: Before controlling the steering wheel to adjust to the target position, the method further includes: Acquiring historical driving data, wherein the historical driving data includes historical road data, historical driver parameters, and historical position parameters of a steering wheel; comparing current road data with historical road data, current driver parameters with historical driver parameters, the historical location parameters and the current target value; When the current road data is inconsistent with the historical road data, or the current driver parameters are inconsistent with the historical driver parameters, or the historical position parameters are inconsistent with the current target value, a steering wheel position prompt message is sent to prompt the driver; In response to the driver's confirmation instruction, the steering wheel is controlled to be adjusted to the target position.

8. A steering wheel adjustment device, characterized in that: The device comprises: a basic value determination module, configured to obtain basic values ​​of position parameters of the steering wheel, wherein the position parameters at least include a steering wheel height and a front-to-rear distance of the steering wheel relative to a seat, wherein the basic values ​​of the position parameters are determined according to current driver parameters, wherein the driver parameters at least include height, the basic value of the steering wheel height is positively correlated with the height, and the basic value of the front-to-rear distance is positively correlated with the height; A road data acquisition module, used to acquire road data, wherein the road data includes traffic flow, and the traffic flow is obtained by weighting the number of vehicles and pedestrians within a certain distance, wherein the weight of the number of pedestrians is greater than the weight of the number of vehicles; A correction value determination module, used to determine the correction value of the position parameter according to the road data, including: determining the correction value of the steering wheel height and the correction value of the front-to-back distance according to the traffic flow, wherein the correction value of the steering wheel height is positively correlated with the traffic flow; the correction value of the front-to-back distance is negatively correlated with the traffic flow; The execution module is used to determine the target value of the position parameter according to the basic value and the correction value; and control the steering wheel to adjust to the target position according to the target value.

9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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