CN113386638A - Method and device for adjusting vehicle seat - Google Patents
Method and device for adjusting vehicle seat Download PDFInfo
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- CN113386638A CN113386638A CN202110823562.6A CN202110823562A CN113386638A CN 113386638 A CN113386638 A CN 113386638A CN 202110823562 A CN202110823562 A CN 202110823562A CN 113386638 A CN113386638 A CN 113386638A
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- 238000000034 method Methods 0.000 title claims abstract description 57
- 230000007613 environmental effect Effects 0.000 claims abstract description 35
- 238000004590 computer program Methods 0.000 claims description 7
- 230000003044 adaptive effect Effects 0.000 abstract 1
- 238000004891 communication Methods 0.000 description 9
- 230000006870 function Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60N—SEATS SPECIALLY ADAPTED FOR VEHICLES; VEHICLE PASSENGER ACCOMMODATION NOT OTHERWISE PROVIDED FOR
- B60N2/00—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles
- B60N2/02—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles the seat or part thereof being movable, e.g. adjustable
- B60N2/22—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles the seat or part thereof being movable, e.g. adjustable the back-rest being adjustable
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60N—SEATS SPECIALLY ADAPTED FOR VEHICLES; VEHICLE PASSENGER ACCOMMODATION NOT OTHERWISE PROVIDED FOR
- B60N2/00—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles
- B60N2/02—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles the seat or part thereof being movable, e.g. adjustable
- B60N2/0224—Non-manual adjustments, e.g. with electrical operation
- B60N2/0244—Non-manual adjustments, e.g. with electrical operation with logic circuits
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60N—SEATS SPECIALLY ADAPTED FOR VEHICLES; VEHICLE PASSENGER ACCOMMODATION NOT OTHERWISE PROVIDED FOR
- B60N2/00—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles
- B60N2/02—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles the seat or part thereof being movable, e.g. adjustable
- B60N2/04—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles the seat or part thereof being movable, e.g. adjustable the whole seat being movable
- B60N2/06—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles the seat or part thereof being movable, e.g. adjustable the whole seat being movable slidable
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- Seats For Vehicles (AREA)
Abstract
The application discloses a vehicle seat adjusting method and device, wherein the method comprises the following steps: acquiring the environmental parameters and the current bumping parameters of a target vehicle; inputting the environmental parameters and the current bumping parameters into a seat comfort command generation model to obtain a comfort command of at least one seat of a target vehicle, wherein the comfort command comprises a target seat slide rail position and a target seat backrest angle of the at least one seat; and adjusting at least one seat to a target seat slide rail position and a target seat backrest angle according to the comfort level instruction so as to achieve the optimal sitting posture adaptive to the environmental parameters and the current bumping parameters. The embodiment of the application can adjust the vehicle seat to the optimal sitting posture based on the environmental parameters and the current bumping parameters, so that the problem that the vehicle seat is adjusted to the most comfortable position at present manually in the related art is solved, the adjusting mode is too coarse, the vehicle seat and the current driving environment cannot be optimally matched, the intelligence is low, and the driving experience is reduced.
Description
Technical Field
The application relates to the technical field of automobile intelligent control, in particular to a method and a device for adjusting a vehicle seat.
Background
When driving or taking a car, the seat is uncomfortable, which can affect the driving state of the driver and reduce the riding experience of passengers. In the correlation technique, need manually adjust the seat to the most comfortable position at present, the regulation mode is too coarse, can't carry out optimum match with vehicle seat and current environment of traveling, and is intelligent lower, has reduced the experience of riding.
Content of application
The application provides a vehicle seat adjusting method and device to solve the problems that in the related art, a seat is manually adjusted to the most comfortable position at present, the adjusting mode is too coarse, optimal matching of the vehicle seat and the current driving environment cannot be achieved, intelligence is low, driving experience is reduced, and the like.
An embodiment of a first aspect of the present application provides an adjusting method of a vehicle seat, including the following steps: acquiring the environmental parameters and the current bumping parameters of a target vehicle; inputting the environmental parameter and the current bumping parameter into a seat comfort command generation model to obtain a comfort command of at least one seat of the target vehicle, wherein the comfort command comprises a target seat slide rail position and a target seat backrest angle of the at least one seat; and adjusting the at least one seat to the target seat slide rail position and the target seat backrest angle according to the comfort level instruction so as to achieve the optimal sitting posture adapted to the environmental parameters and the current bumping parameters.
Optionally, in an embodiment of the present application, the method further includes: acquiring the position of a seat slide rail and the angle of the backrest of the seat, which are adjusted by a user, of the at least one seat; and updating the seat comfort level instruction generation model according to the position of the seat slide rail and the angle of the backrest of the seat.
Optionally, in an embodiment of the present application, the method further includes: collecting identity mark information of the user; and determining a seat comfort level instruction generation model corresponding to the user according to the identity mark information.
Optionally, in an embodiment of the present application, before obtaining the environmental parameter of the target vehicle and the current pitch parameter thereof, the method further includes: detecting whether the current bumping parameter is larger than a preset threshold value within a preset time length; and if the current bumping parameter is larger than the preset threshold value, sending the current bumping parameter to a server so as to obtain the comfort level instruction by utilizing the seat comfort level instruction generation model.
Optionally, in an embodiment of the present application, the method further includes: and when the current bumping parameter is detected to be less than or equal to the preset threshold value within the preset time, stopping sending the current bumping parameter so as to control the vehicle to exit from the seat comfort level mode.
An embodiment of a second aspect of the present application provides an adjustment device for a vehicle seat, including: the acquisition module is used for acquiring the environmental parameters of the target vehicle and the current bumping parameters; the generating module is used for inputting the environmental parameters and the current bumping parameters into a seat comfort instruction generating model to obtain a comfort instruction of at least one seat of the target vehicle, wherein the comfort instruction comprises a target seat slide rail position and a target seat backrest angle of the at least one seat; and the adjusting module is used for adjusting the at least one seat to the target seat slide rail position and the target seat backrest angle according to the comfort level instruction so as to achieve the optimal sitting posture adapted to the environmental parameters and the current bumping parameters.
Optionally, in an embodiment of the present application, the method further includes: the updating module is used for acquiring the position of a seat slide rail and the angle of the backrest of the seat, which are adjusted by a user, of the at least one seat; and updating the seat comfort level instruction generation model according to the position of the seat slide rail and the angle of the backrest of the seat.
Optionally, in an embodiment of the present application, the method further includes: the selection module is used for acquiring the identity mark information of the user; and determining a seat comfort level instruction generation model corresponding to the user according to the identity mark information.
An embodiment of a third aspect of the present application provides a vehicle, comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the program to implement the method of adjusting a vehicle seat as described in the above embodiments.
A fourth aspect of the present application provides a computer-readable storage medium, on which a computer program is stored, wherein the program is executed by a processor for implementing the adjusting method of the vehicle seat according to the above embodiment.
Based on the environmental parameters and the current jolting parameters of the vehicle in the driving process, the comfort level adjusting instruction of the seat is generated through the seat comfort level instruction generating model, the seat is adjusted to the current optimal sitting posture according to the comfort level adjusting instruction, the intelligentization is high, the adjusting mode is more accurate, the influence of the seat comfort level on the driving state of a driver is reduced, and the riding experience of passengers is improved. From this, solved among the correlation technique manually with the seat adjust to the most comfortable position at present, the regulation mode is too coarse, can't carry out optimal match with vehicle seat and current environment of traveling, intelligent lower, reduced technical problem such as driving experience.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a flow chart of a method of adjusting a vehicle seat provided in accordance with an embodiment of the present application;
FIG. 2 is a schematic process diagram of a vehicle seat adjustment method control provided according to an embodiment of the present application;
FIG. 3 is a schematic structural view of an adjustment device of a vehicle seat according to an embodiment of the present application;
FIG. 4 is a schematic structural diagram of a vehicle according to an embodiment of the present application.
Description of reference numerals:
100-acquisition module, 200-generation module, 300-adjustment module, 401-memory, 402-processor and 403-communication interface.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application.
The following describes a vehicle seat adjustment method and apparatus according to an embodiment of the present application with reference to the drawings. Aiming at the problems that the seat needs to be manually adjusted to the most comfortable position at present, the adjusting mode is too rough, the optimal matching between the vehicle seat and the current running environment cannot be carried out, the intelligence is low, and the driving experience is reduced. From this, solved among the correlation technique, need manually adjust the seat to the most comfortable position at present, the regulation mode is too coarse, can't carry out optimal match with vehicle seat and current environment of traveling, and is intelligent lower, has reduced the experience of driving and has taken advantage of the scheduling problem.
Specifically, fig. 1 is a flowchart of an adjusting method of a vehicle seat according to an embodiment of the present application.
As shown in fig. 1, the adjusting method of the vehicle seat includes the steps of:
in step S101, the environmental parameter and the current pitch parameter of the target vehicle are acquired.
It can be understood that, in order to ensure the optimality of the adjustment of the vehicle seat, in the embodiment of the present application, first, the environment parameters of the vehicle are collected, for example, the environment parameters may include temperature, humidity, weather, road congestion conditions, and the like, and the environment parameters of the vehicle may be obtained through a vehicle body sensor, such as a temperature sensor and a humidity sensor, or the environment parameters of the vehicle may be obtained through a vehicle-mounted terminal or a network technology, such as obtaining information displayed through a vehicle-mounted display screen, and the like, which is not particularly limited.
Further, especially, it needs to be pointed out that, different from the related art, the embodiment of the application collects the current bumping parameters of the vehicle, so that the intelligence and the practicability of adjustment are effectively improved, and the current bumping parameters can be reflected through the bumping amplitude of the vehicle body or the road condition flatness degree to obtain specific reference information. As a possible implementation manner, the current bumping parameter of the embodiment of the application may be collected by a vehicle body sensor, such as a vibration sensor, a vehicle-mounted bumping sensor, or may be collected by an image collecting device, such as a camera mounted on a vehicle, and the road condition information is processed by using a deep learning algorithm to obtain the current bumping parameter, or may be directly obtained by a network, so as to obtain the current bumping parameter, which is not specifically limited.
It should be noted that, in the embodiments of the present application, the reference information may be divided into multiple levels, such as no pitch, first-level pitch, second-level pitch, or no pitch, slight pitch, moderate pitch, severe pitch, or the like, or may be divided into specific pitch values, and thus, those skilled in the art may set the reference information according to actual situations, and are not limited specifically.
Optionally, in an embodiment of the present application, before acquiring the environmental parameter of the target vehicle and the current pitch parameter thereof, the method further includes: detecting whether the current bumping parameter is larger than a preset threshold value within a preset time length; and if the current bumping parameter is larger than the preset threshold value, sending the current bumping parameter to a server so as to obtain a comfort level instruction by utilizing the seat comfort level instruction generation model.
It can be understood that, in the embodiment of the present application, the current bumping parameter may be compared with a preset certain threshold value, and it is determined whether to generate the comfort level instruction by using the seat comfort level instruction generation model, so as to adjust the seat. As an example, in the above description, the current bumping parameter is divided into no bumping, light bumping, medium bumping and heavy bumping, the preset threshold is set as light bumping, the preset duration is set as two minutes, whether the current bumping parameter of the vehicle in the two minutes is greater than the light bumping or not is detected, if the current bumping parameter of the vehicle in the two minutes is the medium bumping or the heavy bumping, the current bumping parameter is sent to the server, and the comfort level instruction is generated by using the seat comfort level instruction, wherein the server may be set in the cloud or inside the vehicle without specific limitation. If the current bump parameter of the vehicle is no bump or light bump for two minutes or the vehicle is moderate bump or heavy bump for only a few seconds for two minutes, there is no need to send the current bump parameter to the server. In conclusion, in a preset time period, the seat is adjusted only when the current bumping parameter is larger than a preset threshold value, so that the seat is more intelligent, invalid adjustment of the seat is avoided, redundant actions are reduced, and the driving experience of a user is improved.
In step S102, the environmental parameter and the current pitch parameter are input into a seat comfort instruction generation model, and a comfort instruction of at least one seat of the target vehicle is obtained, where the comfort instruction includes a target seat slide rail position and a target seat backrest angle of the at least one seat.
In the actual execution process, the environmental parameters of the vehicle and the current bumping parameters are used as the input of the seat comfort level instruction generation model, and the seat comfort level instruction is output through the seat comfort level instruction generation model. The comfort level instruction is obtained through the seat comfort level instruction generating model, the adjusting mode is more accurate, intelligence and practicability are achieved, and driving experience is improved.
Comfort instructions for a seat of embodiments of the present application may include a target seat track position and a target seat back angle, such as adjusting a seat track of a driver's seat to a position 5 centimeters forward of the track and adjusting the back angle of the seat to be 15 degrees rearward from vertical.
In the actual execution process, the seat comfort level instruction generation model can be trained through training data in advance, the environment parameters of the vehicle and the current bumping parameters are obtained through a database or a user, the comfort level instruction of the corresponding seat is used as training data, and the seat comfort level instruction generation model is trained, so that the seat comfort level instruction generation model can output the comfort level instruction of the corresponding seat according to the environment parameters of the vehicle and the current bumping parameters.
The comfort level command for the seat may correspond to one seat of the vehicle or may correspond to a plurality of seats. Because driver's position and passenger position require the difference to the position of sitting, this application embodiment can adjust the seat to the comfort level instruction that different seats were generated to different seat positions.
In step S103, at least one seat is adjusted to a target seat slide position and a target seat back angle according to the comfort level command, so as to achieve an optimal sitting posture adapted to the environmental parameter and the current bumping parameter.
After the comfort level instruction is output through the seat comfort level instruction generation model, the seat is adjusted to the target seat slide rail position and the target seat backrest angle according to the comfort level instruction, the adjusting mode is more accurate, and the driving experience is effectively improved.
It should be noted that the comfort command may include only adjusting the seat slide rail position or the seat back angle, or may include adjusting the seat slide rail position and the seat back angle at the same time, which is not particularly limited.
Optionally, in an embodiment of the present application, the method of adjusting a vehicle seat further includes: acquiring the position of a seat slide rail and the angle of a backrest of a seat, which are adjusted by a user, of at least one seat; and updating the seat comfort command generation model according to the position of the seat slide rail and the angle of the backrest of the seat.
It can be appreciated that different users have different sitting habits, for example, if a driver or a passenger is used to lean the seat forward or backward, or the seat back is tilted vertically or backward, the embodiment of the application can update the seat comfort instruction generation model according to the habits of the users. If at the in-process of traveling, obtain the regulation seat slide rail position and the regulation seat back angle of user's seat, match the regulation seat slide rail position and the regulation seat back angle of user's seat with the present parameter of jolting of the environmental parameter of locating of vehicle and current parameter to update seat comfort level instruction generative model, make seat comfort level instruction generative model can generate the comfort level instruction of the seat that corresponds according to user's custom, improve user's driving experience.
Optionally, in an embodiment of the present application, the method of adjusting a vehicle seat further includes: collecting identity mark information of a user; and determining a seat comfort level instruction generation model corresponding to the user according to the identity mark information.
In the embodiment, the seat comfort level instruction generating model is updated through the adjustment of the user on the seat, so that the updated seat comfort level instruction generating model is more matched with the current user, and the driving experience of the user is improved. As another possible implementation manner, the embodiment of the application may establish a corresponding relationship between the identity mark information of the user and the seat comfort level instruction generation model, select the seat comfort level instruction generation model corresponding to the user according to the identity mark information of the user, directly generate the seat comfort level instruction according to the habit of the user according to the selected model, and adjust the seat, so that the adjustment manner is more accurate, and the riding experience is effectively improved.
In the actual execution process, after a user gets on the vehicle, user mark information is collected, for example, identity mark information of the user can be selected and determined through an initial sitting posture habit or a face recognition technology or a vehicle display screen, a seat comfort level instruction generation model corresponding to the identity mark information of the user is selected, a comfort level instruction according with the habit of the user is generated through the selected seat comfort level instruction generation model, and the driving experience of the user is improved.
The user mark information of the embodiment of the application can comprise identity information and riding positions of users, such as a user A and a driving position; or user a, copilot; or user B, driving position etc. to the same user takes different positions, this application embodiment can also select different seat comfort level instruction generative models, generates the seat comfort level instruction that more accords with different users 'position of sitting custom, and the regulation mode is more accurate, effectively improves user's the experience of riding.
Optionally, in an embodiment of the present application, the method of adjusting a vehicle seat further includes: and when the current bumping parameter is detected to be less than or equal to the preset threshold value within the preset time length, stopping sending the current bumping parameter so as to control the vehicle to exit from the seat comfort level mode.
In the embodiment of the application, when the current bumping parameter of the vehicle is greater than the preset threshold value, and when the current bumping parameter is greater than the light bumping as described in the above embodiment, the current bumping parameter is sent to the server, and the comfort instruction is obtained by using the seat comfort instruction generation model. After a period of time adjustment, if the current bumping parameter of the vehicle is not greater than the preset threshold value, the embodiment of the application stops sending the current bumping parameter to the server, and the seat comfort level mode exits. Based on the above embodiment, taking the preset threshold as a light bump, and the preset duration as two minutes as an example, within two minutes, if the current bump parameter of the vehicle is no bump or light bump, the current bump parameter is stopped being sent to the server, the seat comfort mode is exited, and the seat is not adjusted any more. Therefore, invalid adjustment of the seat is avoided, redundant actions are reduced, and the driving experience of a user is improved.
As shown in fig. 2, the adjusting method of the vehicle seat of the embodiment of the present application includes:
s201, creating a seat comfort level instruction generation model.
According to the embodiment of the application, the seat comfort level instruction generation model frame can be established through the depth model, the seat comfort level instruction generation model frame is trained by acquiring training data, and the seat comfort level instruction generation model is obtained. The training data may be obtained in the manner described in the above embodiments, and will not be described in detail.
S202, obtaining the environmental parameters of the current vehicle.
The environmental parameters of the current vehicle may include data of temperature, humidity, weather, and the like, and the environmental parameters of the current vehicle may be obtained in the manner described in the above embodiments, which is not repeated.
S203, obtaining the bumping parameters.
The bumping parameter may be a bumping grade, and the bumping parameter may be obtained in the manner described in the above embodiments, which is not described in detail.
S204, judging whether the bumping parameter is larger than a preset threshold value in a preset time.
And S205, uploading the bumpy data to a server in real time.
And comparing the obtained bumping parameter with a preset threshold value within a preset time, executing S205 when the current bumping parameter is greater than the preset threshold value, and uploading the bumping parameter to a server.
And S206, inputting the environmental parameters and the bumping parameters of the vehicle into the seat comfort command generation model.
And the current seat comfort level instruction can be generated through the seat comfort level instruction generation model by combining the environmental parameters and the bumping parameters of the vehicle.
And S207, issuing the seat comfort level instruction to the vehicle body area vehicle seat comfort level adjusting module.
After generating seat comfort level instruction, adjust the seat position through the seat comfort level adjustment module of vehicle, like adjustment seat slide rail position and seat back angle.
And S208, synchronizing the seat comfort command to a server.
In the adjusting process, the user can adjust the seat posture according to own habits, and the adjusted seat posture is synchronized to the server in a mode of seat comfort level instructions.
And S209, training a seat comfort command generation model.
And updating the seat comfort level instruction generating model according to the synchronous seat comfort level instruction in the server so as to enable the seat comfort level instruction generating model to generate a seat comfort level instruction which is more in line with the habit of the user.
S210, judging whether the bumping parameter is less than or equal to a preset threshold value in a preset time.
And comparing the current bump parameter with a preset threshold value within a preset time, and executing S211 when the bump parameter is less than or equal to the preset threshold value.
S211, sends a cutoff instruction to the server.
When the bumping parameter is smaller than or equal to the preset threshold value, the seat does not need to be adjusted, a stop instruction is sent to the server, meanwhile, the bumping parameter is stopped being sent to the server, and the seat is stopped being adjusted.
According to the adjusting method of the vehicle seat, based on the environmental parameters and the current bumping parameters of the vehicle in the driving process, the comfort level adjusting instruction of the seat is generated through the seat comfort level instruction generating model, the seat is adjusted to the current optimal sitting posture according to the comfort level adjusting instruction, the intelligent degree is high, the adjusting mode is more accurate, the influence of the seat comfort level on the driving state of a driver is reduced, and the riding experience of passengers is improved. From this, solved among the correlation technique manually with the seat adjust to the most comfortable position at present, the regulation mode is too coarse, can't carry out optimal match with vehicle seat and current environment of traveling, intelligent lower, reduced technical problem such as driving experience.
Next, an adjustment device of a vehicle seat proposed according to an embodiment of the present application is described with reference to the drawings.
Fig. 3 is a schematic structural view of an adjustment device of a vehicle seat according to an embodiment of the present application.
As shown in fig. 3, the adjusting apparatus 10 of the vehicle seat includes: an acquisition module 100, a generation module 200 and an adjustment module 300.
Specifically, the obtaining module 100 is configured to obtain an environmental parameter and a current pitch parameter of the target vehicle. The generating module 200 is configured to input the environmental parameter and the current bumping parameter to a seat comfort instruction generating model, and obtain a comfort instruction of at least one seat of the target vehicle, where the comfort instruction includes a target seat slide rail position and a target seat backrest angle of the at least one seat. The adjusting module 300 is configured to adjust at least one seat to a target seat slide position and a target seat back angle according to the comfort level instruction, so as to achieve an optimal seating position adapted to the environmental parameter and the current bumping parameter.
Optionally, in an embodiment of the present application, the adjusting apparatus 10 of the vehicle seat further includes: the updating module is used for acquiring the position of a seat slide rail and the angle of the backrest of the seat, which are adjusted by a user, of at least one seat; and updating the seat comfort command generation model according to the position of the seat slide rail and the angle of the backrest of the seat.
Optionally, in an embodiment of the present application, the adjusting apparatus 10 of the vehicle seat further includes: the selection module is used for acquiring the identity mark information of the user; and determining a seat comfort level instruction generation model corresponding to the user according to the identity mark information.
Optionally, in an embodiment of the present application, the adjusting apparatus 10 of the vehicle seat further includes: the first judgment module is used for detecting whether the current bump parameter is larger than a preset threshold value within a preset time length before acquiring the environment parameter of the target vehicle and the current bump parameter of the target vehicle; and if the current bumping parameter is larger than the preset threshold value, sending the current bumping parameter to a server so as to obtain a comfort level instruction by utilizing the seat comfort level instruction generation model.
Optionally, in an embodiment of the present application, the adjusting apparatus 10 of the vehicle seat further includes: and the second judgment module stops sending the current bump parameter when detecting that the current bump parameter is less than or equal to a preset threshold value in a preset time length so as to control the vehicle to exit from the seat comfort level mode.
It should be noted that the foregoing explanation of the embodiment of the adjusting method of the vehicle seat is also applicable to the adjusting device of the vehicle seat of the embodiment, and the details are not repeated here.
According to the adjusting device of the vehicle seat, based on the environmental parameters and the current jolting parameters of the vehicle in the driving process, the comfort level adjusting instruction of the seat is generated through the seat comfort level instruction generating model, the seat is adjusted to the current optimal sitting posture according to the comfort level adjusting instruction, the intelligent degree is high, the adjusting mode is more accurate, the influence of the seat comfort level on the driving state of a driver is reduced, and the riding experience of passengers is improved. From this, solved among the correlation technique manually with the seat adjust to the most comfortable position at present, the regulation mode is too coarse, can't carry out optimal match with vehicle seat and current environment of traveling, intelligent lower, reduced technical problem such as driving experience.
Fig. 4 is a schematic structural diagram of a vehicle according to an embodiment of the present application. The vehicle may include:
The processor 402, when executing the program, implements the vehicle seat adjustment method provided in the above-described embodiment.
Further, the vehicle further includes:
a communication interface 403 for communication between the memory 401 and the processor 402.
A memory 401 for storing computer programs executable on the processor 402.
If the memory 401, the processor 402 and the communication interface 403 are implemented independently, the communication interface 403, the memory 401 and the processor 402 may be connected to each other through a bus and perform communication with each other. The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 4, but this does not indicate only one bus or one type of bus.
Optionally, in a specific implementation, if the memory 401, the processor 402, and the communication interface 403 are integrated on a chip, the memory 401, the processor 402, and the communication interface 403 may complete mutual communication through an internal interface.
The processor 402 may be a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement embodiments of the present Application.
The present embodiment also provides a computer-readable storage medium on which a computer program is stored, characterized in that the program, when executed by a processor, implements the method of adjusting a vehicle seat as above.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or N embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "N" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more N executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of implementing the embodiments of the present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
Claims (10)
1. A method of adjusting a vehicle seat, comprising the steps of:
acquiring the environmental parameters and the current bumping parameters of a target vehicle;
inputting the environmental parameter and the current bumping parameter into a seat comfort command generation model to obtain a comfort command of at least one seat of the target vehicle, wherein the comfort command comprises a target seat slide rail position and a target seat backrest angle of the at least one seat; and
and adjusting the at least one seat to the target seat slide rail position and the target seat backrest angle according to the comfort level instruction so as to achieve the optimal sitting posture adapted to the environmental parameters and the current bumping parameters.
2. The method of claim 1, further comprising:
acquiring the position of a seat slide rail and the angle of the backrest of the seat, which are adjusted by a user, of the at least one seat;
and updating the seat comfort level instruction generation model according to the position of the seat slide rail and the angle of the backrest of the seat.
3. The method of claim 2, further comprising:
collecting identity mark information of the user;
and determining a seat comfort level instruction generation model corresponding to the user according to the identity mark information.
4. The method according to claim 1, before obtaining the environmental parameter of the target vehicle and the current pitch parameter thereof, further comprising:
detecting whether the current bumping parameter is larger than a preset threshold value within a preset time length;
and if the current bumping parameter is larger than the preset threshold value, sending the current bumping parameter to a server so as to obtain the comfort level instruction by utilizing the seat comfort level instruction generation model.
5. The method of claim 4, further comprising:
and when the current bumping parameter is detected to be less than or equal to the preset threshold value within the preset time, stopping sending the current bumping parameter so as to control the vehicle to exit from the seat comfort level mode.
6. An adjustment device of a vehicle seat, characterized by comprising:
the acquisition module is used for acquiring the environmental parameters of the target vehicle and the current bumping parameters;
the generating module is used for inputting the environmental parameters and the current bumping parameters into a seat comfort instruction generating model to obtain a comfort instruction of at least one seat of the target vehicle, wherein the comfort instruction comprises a target seat slide rail position and a target seat backrest angle of the at least one seat; and
and the adjusting module is used for adjusting the at least one seat to the target seat slide rail position and the target seat backrest angle according to the comfort level instruction so as to achieve the optimal sitting posture adapted to the environmental parameters and the current bumping parameters.
7. The apparatus of claim 6, further comprising:
the updating module is used for acquiring the position of a seat slide rail and the angle of the backrest of the seat, which are adjusted by a user, of the at least one seat; and updating the seat comfort level instruction generation model according to the position of the seat slide rail and the angle of the backrest of the seat.
8. The apparatus of claim 6, further comprising:
the selection module is used for acquiring the identity mark information of the user; and determining a seat comfort level instruction generation model corresponding to the user according to the identity mark information.
9. A vehicle, characterized by comprising: memory, processor and computer program stored on the memory and executable on the processor, the processor executing the program to implement the method of adjusting a vehicle seat according to any one of claims 1 to 5.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the program is executed by a processor for implementing the adjusting method of a vehicle seat according to any one of claims 1-5.
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