CN108770351B - Vehicle seat adjusting method and vehicle seat adjusting device - Google Patents
Vehicle seat adjusting method and vehicle seat adjusting device Download PDFInfo
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- CN108770351B CN108770351B CN201880000334.5A CN201880000334A CN108770351B CN 108770351 B CN108770351 B CN 108770351B CN 201880000334 A CN201880000334 A CN 201880000334A CN 108770351 B CN108770351 B CN 108770351B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
- B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
- B60R16/037—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for occupant comfort, e.g. for automatic adjustment of appliances according to personal settings, e.g. seats, mirrors, steering wheel
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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
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Abstract
The application provides a vehicle seat adjusting method, a vehicle seat adjusting apparatus, and a computer-readable storage medium, the vehicle seat adjusting method including: acquiring identity information of a user; acquiring driving behavior habit data of the user according to the identity information of the user; acquiring current running state information of a vehicle; and adjusting the seat posture according to the driving behavior habit data of the user and the current driving state information of the vehicle. Through the chair posture adjusting device and the chair posture adjusting method, the problem that in the prior art, the user manually adjusts the chair posture and the adjusting process is complex can be solved.
Description
Technical Field
The present application relates to a vehicle seat adjusting method, a vehicle seat adjusting apparatus, and a computer-readable storage medium.
Background
With the development of economic technology, vehicles are becoming one of the most common and most frequently used vehicles in people's lives. In daily driving, drivers with different body types and driving habits need to adjust the seat to the most comfortable position before driving the vehicle. However, in the prior art, the user usually adjusts the seat posture manually, and the adjustment process is tedious.
Therefore, a new technical solution is needed to solve the above technical problems.
Disclosure of Invention
The problem that in the prior art, a user manually adjusts the posture of a seat and the adjusting process is complicated is solved.
A first aspect of an embodiment of the present application provides a vehicle seat adjustment method including:
acquiring identity information of a user;
acquiring driving behavior habit data of the user according to the identity information of the user;
acquiring current running state information of a vehicle;
and adjusting the seat posture according to the driving behavior habit data of the user and the current driving state information of the vehicle.
Based on the first aspect of the embodiment of the present application, in a first possible implementation manner, the acquiring identity information of a user includes:
when the user is detected to be in a sitting state, identity information of the user is acquired.
Based on the first aspect of the embodiment of the present application, in a second possible implementation manner, the adjusting the seat posture according to the driving behavior habit data of the user and the current driving state information of the vehicle includes:
acquiring corresponding driving posture data from the driving behavior habit data of the user according to the current driving state information of the vehicle;
and adjusting the seat posture according to the driving posture data.
In a third possible implementation manner, based on the first aspect of the embodiment of the present application, the vehicle seat adjustment method further includes:
and acquiring the driving posture data of the vehicle under the current driving working condition, and storing the driving posture data of the vehicle under the current driving working condition into the driving behavior habit data of the user.
Based on the first aspect of the embodiment of the present application, or the first possible implementation manner of the first aspect of the embodiment of the present application, or the second possible implementation manner of the first aspect of the embodiment of the present application, or the third possible implementation manner of the first aspect of the embodiment of the present application, in a fourth possible implementation manner, the vehicle seat adjustment method further includes:
detecting sound information within the vehicle;
determining the number of passengers in the vehicle and the position relation between other passengers in the vehicle and the user according to the sound information in the vehicle, wherein the other passengers in the vehicle refer to the passengers in the vehicle except the user;
and adjusting the distance between the vehicle seats according to the number of the passengers in the vehicle and the position relation between other passengers in the vehicle and the user.
A second aspect of the embodiments of the present application provides a vehicle seat adjustment apparatus including:
the identity acquisition module is used for acquiring identity information of a user;
the data acquisition module is used for acquiring driving behavior habit data of the user according to the identity information of the user;
the state acquisition module is used for acquiring the current running state information of the vehicle;
and the seat adjusting module is used for adjusting the seat posture according to the driving behavior habit data of the user and the current driving state information of the vehicle.
Based on the second aspect of the embodiment of the present application, in a first possible implementation manner, the identity obtaining module is specifically configured to:
when the user is detected to be in a sitting state, identity information of the user is acquired.
In a second possible implementation manner, based on the second aspect of the embodiment of the present application, the seat adjustment module includes:
the acquisition unit is used for acquiring corresponding driving posture data from the driving behavior habit data of the user according to the current driving state information of the vehicle;
and the adjusting unit is used for adjusting the seat posture according to the driving posture data.
In a third possible implementation manner, based on the second aspect of the embodiment of the present application, the vehicle seat adjustment apparatus further includes:
and the processing module is used for acquiring the driving posture data of the vehicle under the current driving working condition and storing the driving posture data of the vehicle under the current driving working condition into the driving behavior habit data of the user.
Based on the second aspect of the embodiment of the present application, or the first possible implementation manner of the second aspect of the embodiment of the present application, or the second possible implementation manner of the second aspect of the embodiment of the present application, or the third possible implementation manner of the second aspect of the embodiment of the present application, in a fourth possible implementation manner, the vehicle seat adjustment apparatus further includes:
the sound detection module is used for detecting sound information in the vehicle;
the determining module is used for determining the number of the passengers in the vehicle and the position relation between other passengers in the vehicle and the user according to the sound information in the vehicle, wherein the other passengers in the vehicle refer to the passengers in the vehicle except the user;
and the distance adjusting module is used for adjusting the distance between the vehicle seats according to the number of the passengers in the vehicle and the position relation between other passengers in the vehicle and the user.
A third aspect of embodiments of the present application provides a vehicle seat adjustment apparatus, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the steps of the vehicle seat adjustment method as described in the first aspect and possible implementations thereof.
A fourth aspect of embodiments of the present application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the vehicle seat adjustment method as described in the first aspect and possible implementations thereof.
According to the scheme, the driving behavior habit data of the user can be acquired by acquiring the identity information of the user, and the driving behavior habit data of the user is combined with the current driving state information of the vehicle, so that the self-adaptive seat posture adjustment can be realized, the comfort of the vehicle seat is improved, and the manual adjustment of the user is not needed, so that the seat adjustment process is simplified, and the seat adjustment efficiency is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
FIG. 1 is a schematic flow chart illustrating an implementation of a vehicle seat adjustment method according to an embodiment of the present disclosure;
FIG. 2 is a schematic flow chart illustrating an implementation of a vehicle seat adjustment method according to a second embodiment of the present application;
FIG. 3 is a schematic view of a vehicle seat adjustment apparatus provided in accordance with a third embodiment of the present application;
fig. 4 is a schematic view of a vehicle seat adjustment device according to a fourth embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the present application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the specification of the present application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to a determination" or "in response to a detection". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
It should be understood that, the sequence numbers of the steps in this embodiment do not mean the execution sequence, and the execution sequence of each process should be determined by the function and the inherent logic of the process, and should not constitute any limitation to the implementation process of the embodiment of the present application.
In order to explain the technical solution described in the present application, the following description will be given by way of specific examples.
Referring to fig. 1, a schematic flow chart of an implementation of a vehicle seat adjustment method provided in an embodiment of the present application is shown. The vehicle seat adjustment method as shown in the figure may comprise the steps of:
step S101, obtaining identity information of a user.
In the embodiment of the application, the identity of the user can be identified based on fingerprint identification, voice control identification or image identification and the like, so that the identity information of the user can be acquired. For example, a finger of a user touches the fingerprint acquisition module, the fingerprint acquisition module acquires fingerprint information of the user, may pre-store a plurality of correspondence relationships between the fingerprint information and user identity information, matches the acquired fingerprint information with one or more pieces of fingerprint information stored in the fingerprint information database, and if there is fingerprint information matching the acquired fingerprint information, acquires user identity information corresponding to the fingerprint information matching the acquired fingerprint information; if the fingerprint information matched with the acquired fingerprint information does not exist, the acquired fingerprint information can be stored in a fingerprint information database, at the moment, a user can manually adjust the seat posture, and record the manually adjusted seat posture of the user and the current driving state information of the vehicle, so that the driving behavior habit data of the user is recorded, and the driving behavior habit data of the user is stored in the driving behavior habit database. Wherein the driving behavior habit database stores driving behavior habit data of one or more users.
Optionally, the acquiring the identity information of the user includes:
when the user is detected to be in a sitting state, identity information of the user is acquired.
Wherein the user is in a seated state may refer to a state in which the user is seated on a seat (e.g., a driver seat) of the vehicle. A pressure sensor may be installed on the seat, and the pressure sensor may detect a pressure value after the user sits on the seat, and determine that the user is in a seated state when the pressure value is greater than a preset pressure threshold. The preset pressure threshold value is set to avoid misjudgment, for example, a pet is placed on the seat, the pressure sensor can also detect the pressure value, and the user does not sit on the seat at the moment. The user can set the preset pressure threshold value according to the actual requirement, and the limitation is not made herein.
In the embodiment of the application, whether a user is in a sitting state or not can be detected when the vehicle is started, and the identity information of the user is acquired when the user is detected to be in the sitting state.
And step S102, acquiring driving behavior habit data of the user according to the identity information of the user.
In the embodiment of the application, driving behavior habit data of one or more users can be stored in a driving behavior habit database, after the identity information of the user is obtained, whether the driving behavior habit data of the user exists in the driving behavior database can be detected, and if the driving behavior habit data of the user exists in the driving behavior database, the driving behavior habit data of the user is obtained from the driving behavior habit database; if the driving behavior data of the user does not exist in the driving behavior database, the driving behavior database can prompt the user that the driving behavior data of the user is not stored in the driving behavior database. The driving behavior habit data of the user comprises but is not limited to driving posture data of the user under different driving conditions, such as driving postures of urban roads, driving postures of expressways and driving postures of winding roads; driving postures at high speed, driving postures at low speed, driving postures at traffic lights and the like, wherein the high speed and the low speed refer to the speed of the vehicle during running; acceleration, deceleration, and driving posture at the time of turning.
Step S103, acquiring the current running state information of the vehicle.
The driving state information refers to driving condition information of the vehicle, and may include, but is not limited to, road surface information (urban roads, expressways, winding roads, and the like) on which the vehicle is traveling, speed information (high speed, low speed, waiting for the vehicle, and the like) of the vehicle, acceleration information (acceleration, deceleration, turning, and the like) of the vehicle, and other driving condition information.
And step S104, adjusting the seat posture according to the driving behavior habit data of the user and the current driving state information of the vehicle.
Optionally, the adjusting the seat posture according to the driving behavior habit data of the user and the current driving state information of the vehicle includes:
acquiring corresponding driving posture data from the driving behavior habit data of the user according to the current driving state information of the vehicle;
and adjusting the seat posture according to the driving posture data.
In the embodiment of the application, because the driving behavior habit data of the user includes the driving posture data of the user under different driving conditions, and the current driving state information of the vehicle refers to the current driving condition of the vehicle, the driving posture data corresponding to the current driving state information of the vehicle can be acquired from the driving behavior habit data of the user according to the current driving state information of the vehicle, so that the posture of the seat where the user sits is adjusted according to the driving posture data. The driving posture data corresponding to the current driving state information of the vehicle may refer to a height, a front-back position, an inclination and the like to which a seat needs to be adjusted under the current driving condition of the vehicle, that is, a seat posture conforming to a habit of a user under the current driving condition, including but not limited to the height, the front-back position, the inclination and the like to which the seat needs to be adjusted under various driving condition information such as road information (urban roads, expressways, traverses and roads and the like) on which the vehicle runs, speed information (high speed, low speed, waiting for the vehicle and the like) of the vehicle, acceleration information (acceleration, deceleration, turning and the like) of the vehicle and the like. The seat posture includes, but is not limited to, the height, fore-aft position, and inclination of the seat.
Optionally, the embodiment of the present application further includes:
and acquiring the driving posture data of the vehicle under the current driving working condition, and storing the driving posture data of the vehicle under the current driving working condition into the driving behavior habit data of the user.
In this embodiment of the application, after step S104 is executed, the driving posture data of the vehicle under the current driving condition may be obtained by obtaining the current driving condition of the vehicle and the current driving posture data of the vehicle, and the driving posture data of the vehicle under the current driving condition may be stored in the driving behavior habit data of the user, so that the driving posture data of the user may be conveniently analyzed subsequently.
According to the embodiment of the application, the driving behavior habit data of the user can be acquired by acquiring the identity information of the user, and the driving behavior habit data of the user is combined with the current driving state information of the vehicle, so that the posture of the seat can be adjusted in a self-adaptive mode, the comfort of the vehicle seat is improved, and the seat adjusting process is simplified and the seat adjusting efficiency is improved due to the fact that manual adjustment of the user is not needed.
Referring to fig. 2, it is a schematic flow chart of an implementation of a vehicle seat adjustment method provided in the second embodiment of the present application, and as shown in the figure, the vehicle seat adjustment method may include the following steps:
step S201, identity information of the user is acquired.
The step is the same as step S101, and reference may be made to the related description of step S101, which is not repeated herein.
Step S202, acquiring driving behavior habit data of the user according to the identity information of the user.
The step is the same as step S102, and reference may be made to the related description of step S102, which is not repeated herein.
In step S203, the current driving state information of the vehicle is acquired.
The step is the same as step S103, and reference may be made to the related description of step S103, which is not described herein again.
And step S204, adjusting the seat posture according to the driving behavior habit data of the user and the current driving state information of the vehicle.
The step is the same as step S104, and reference may be made to the related description of step S104, which is not repeated herein.
Step S205 detects sound information in the vehicle.
And step S206, determining the number of passengers in the vehicle and the position relation between other passengers in the vehicle and the user according to the sound information in the vehicle.
Wherein the other occupants in the vehicle refer to occupants in the vehicle other than the user.
And step S207, adjusting the distance between the vehicle seats according to the number of the passengers in the vehicle and the position relation between the other passengers in the vehicle and the user.
In the embodiment of the present application, after the seat on which the user sits is adjusted, the sound information in the vehicle can be detected, and judges the number of occupants in the vehicle (since sounds of different users are different, the number of occupants in the vehicle can be determined according to the difference in sounds) and the positional relationship of other occupants in the vehicle with the user based on the voice recognition, when the number of occupants in the vehicle is greater than 1, it can be determined that there are other occupants in the vehicle, and, in order to improve the comfort of the seat, the seat distance between the other occupants in the vehicle and the user may need to be adjusted, and at this time, the seat distance between the seat of the user and the seats of the other occupants in the vehicle may be adjusted according to the position relationship between the other occupants in the vehicle and the user, so that the user and the other occupants in the vehicle are in a comfortable state. Preferably, when the positional relationship between the other occupant and the user in the vehicle is a front-rear position, the inter-seat distance may be adjusted so as to be adjusted to a preset distance.
For example, if two different sounds are detected in the vehicle, it can be determined that there are two occupants in the vehicle, one being the driver and the other being behind the driver, and the distance between the driver seat and the other occupant seat can be adjusted by adjusting the driver seat, thereby improving the comfort of the driver seat and the other occupant seat.
According to the embodiment of the application, after the seat posture is adaptively adjusted according to the driving behavior habit data of the user and the current driving state information of the vehicle, whether other passengers exist in the vehicle can be determined through voice recognition, and when other passengers exist, the distance between the vehicle seats is automatically adjusted according to the position relation between the user and the other passengers, so that the comfort of the vehicle seats is further improved.
Referring to fig. 3, a schematic view of a vehicle seat adjusting apparatus according to a third embodiment of the present application is shown, and for convenience of description, only the portions related to the third embodiment of the present application are shown.
The vehicle seat adjusting apparatus includes:
an identity obtaining module 31, configured to obtain identity information of a user;
the data acquisition module 32 is configured to acquire driving behavior habit data of the user according to the identity information of the user;
the state acquisition module 33 is used for acquiring the current running state information of the vehicle;
and the seat adjusting module 34 is configured to adjust a seat posture according to the driving behavior habit data of the user and the current driving state information of the vehicle.
Optionally, the identity obtaining module 31 is specifically configured to:
when the user is detected to be in a sitting state, identity information of the user is acquired.
Optionally, the seat adjustment module 34 includes:
the acquisition unit is used for acquiring corresponding driving posture data from the driving behavior habit data of the user according to the current driving state information of the vehicle;
the adjusting unit is used for adjusting the seat posture according to the driving posture data;
the vehicle seat adjustment apparatus further includes:
the processing module 35 is configured to acquire driving posture data of the vehicle under the current driving condition, and store the driving posture data of the vehicle under the current driving condition into driving behavior habit data of the user;
a sound detection module 36 for detecting sound information within the vehicle;
a determining module 37, configured to determine, according to sound information in the vehicle, the number of occupants in the vehicle and a positional relationship between other occupants in the vehicle and the user, where the other occupants in the vehicle refer to occupants in the vehicle other than the user;
and a spacing adjustment module 38, configured to adjust a spacing between the vehicle seats according to the number of occupants in the vehicle and a positional relationship between other occupants in the vehicle and the user.
The vehicle digital instrument provided by the embodiment of the present application can be applied to the first method embodiment and the second method embodiment, and for details, reference is made to the description of the first method embodiment and the second method embodiment, and details are not repeated herein.
Fig. 4 is a schematic view of a vehicle seat adjustment device according to a fourth embodiment of the present application. As shown in fig. 4, the vehicular seat adjusting apparatus 4 of the embodiment includes: a processor 40, a memory 41 and a computer program 42 stored in said memory 41 and executable on said processor 40. The processor 40, when executing the computer program 42, implements the steps in the various vehicle seat adjustment method embodiments described above, such as the steps S101 to S104 shown in fig. 1. Alternatively, the processor 40, when executing the computer program 42, implements the functions of the modules/units in the above-mentioned device embodiments, such as the functions of the modules 31 to 38 shown in fig. 3.
Illustratively, the computer program 42 may be partitioned into one or more modules/units that are stored in the memory 41 and executed by the processor 40 to accomplish the present application. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 42 in the vehicle seat adjustment device 4. For example, the computer program 42 may be divided into an identity acquisition module, a data acquisition module, a status acquisition module, a seat adjustment module, a processing module, a sound detection module, a determination module, and a spacing adjustment module, each of which functions specifically as follows:
the identity acquisition module is used for acquiring identity information of a user;
the data acquisition module is used for acquiring driving behavior habit data of the user according to the identity information of the user;
the state acquisition module is used for acquiring the current running state information of the vehicle;
and the seat adjusting module is used for adjusting the seat posture according to the driving behavior habit data of the user and the current driving state information of the vehicle.
Optionally, the identity acquiring module is specifically configured to:
when the user is detected to be in a sitting state, identity information of the user is acquired.
Optionally, the seat adjustment module includes:
the acquisition unit is used for acquiring corresponding driving posture data from the driving behavior habit data of the user according to the current driving state information of the vehicle;
the adjusting unit is used for adjusting the seat posture according to the driving posture data;
the vehicle seat adjustment apparatus further includes:
the processing module is used for acquiring the driving posture data of the vehicle under the current driving working condition and storing the driving posture data of the vehicle under the current driving working condition into the driving behavior habit data of the user;
the sound detection module is used for detecting sound information in the vehicle;
the determining module is used for determining the number of the passengers in the vehicle and the position relation between other passengers in the vehicle and the user according to the sound information in the vehicle, wherein the other passengers in the vehicle refer to the passengers in the vehicle except the user;
and the distance adjusting module is used for adjusting the distance between the vehicle seats according to the number of the passengers in the vehicle and the position relation between other passengers in the vehicle and the user.
The vehicle seat adjusting apparatus 4 may include, but is not limited to, a processor 40 and a memory 41. It will be understood by those skilled in the art that fig. 4 is merely an example of the vehicle seat adjustment apparatus 4 and does not constitute a limitation of the vehicle seat adjustment apparatus 4 and may include more or fewer components than shown, or some components in combination, or different components, for example, the vehicle seat adjustment apparatus may also include input-output devices, network access devices, buses, etc.
It should be understood that, in the embodiment of the present Application, the Processor 40 may be a Central Processing Unit (CPU), and the Processor may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 41 may be an internal memory unit of the vehicle seat adjusting device 4, such as a hard disk or a memory of the vehicle seat adjusting device 4. The memory 41 may also be an external storage device of the vehicle seat adjusting apparatus 4, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), or the like, provided on the vehicle seat adjusting apparatus 4. Further, the memory 41 may also include both an internal storage unit and an external storage device of the vehicle seat adjusting apparatus 4. The memory 41 is used to store the computer program and other programs and data required for the vehicle seat adjustment device. The memory 41 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the method of the embodiments described above can be realized by a computer program, which can be stored in a computer-readable storage medium and can realize the steps of the embodiments of the methods described above when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.
Claims (8)
1. A vehicle seat adjustment method, characterized by comprising:
acquiring identity information of a user;
acquiring driving behavior habit data of the user according to the identity information of the user;
acquiring current running state information of a vehicle, wherein the running state information comprises road surface information of the vehicle, speed information of the vehicle and acceleration information of the vehicle;
adjusting the seat posture according to the driving behavior habit data of the user and the current driving state information of the vehicle;
the vehicle seat adjustment method further includes:
detecting sound information within the vehicle;
determining the number of passengers in the vehicle and the position relation between other passengers in the vehicle and the user according to the sound information in the vehicle, wherein the other passengers in the vehicle refer to the passengers in the vehicle except the user;
and adjusting the distance between the vehicle seats according to the number of the passengers in the vehicle and the position relation between other passengers in the vehicle and the user.
2. The vehicle seat adjustment method according to claim 1, wherein the acquiring of the identification information of the user includes:
when the user is detected to be in a sitting state, identity information of the user is acquired.
3. The vehicle seat adjustment method according to claim 1, wherein the adjusting of the seat posture based on the driving behavior habit data of the user and the current driving state information of the vehicle includes:
acquiring corresponding driving posture data from the driving behavior habit data of the user according to the current driving state information of the vehicle;
and adjusting the seat posture according to the driving posture data.
4. The vehicle seat adjustment method according to claim 1, characterized in that the vehicle seat adjustment method further comprises:
and acquiring the driving posture data of the vehicle under the current driving working condition, and storing the driving posture data of the vehicle under the current driving working condition into the driving behavior habit data of the user.
5. A vehicular seat adjusting apparatus characterized by comprising:
the identity acquisition module is used for acquiring identity information of a user;
the data acquisition module is used for acquiring driving behavior habit data of the user according to the identity information of the user;
the system comprises a state acquisition module, a state acquisition module and a state acquisition module, wherein the state acquisition module is used for acquiring current running state information of a vehicle, and the running state information comprises road surface information on which the vehicle runs, speed information of the vehicle and acceleration information of the vehicle;
the seat adjusting module is used for adjusting the seat posture according to the driving behavior habit data of the user and the current driving state information of the vehicle;
the vehicle seat adjustment apparatus further includes:
the sound detection module is used for detecting sound information in the vehicle;
the determining module is used for determining the number of the passengers in the vehicle and the position relation between other passengers in the vehicle and the user according to the sound information in the vehicle, wherein the other passengers in the vehicle refer to the passengers in the vehicle except the user;
and the distance adjusting module is used for adjusting the distance between the vehicle seats according to the number of the passengers in the vehicle and the position relation between other passengers in the vehicle and the user.
6. The vehicle seat adjustment apparatus of claim 5, wherein the seat adjustment module comprises:
the acquisition unit is used for acquiring corresponding driving posture data from the driving behavior habit data of the user according to the current driving state information of the vehicle;
and the adjusting unit is used for adjusting the seat posture according to the driving posture data.
7. A vehicle seat adjustment device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the vehicle seat adjustment method according to any one of claims 1 to 4 when executing the computer program.
8. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of a vehicle seat adjustment method according to any one of claims 1 to 4.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/CN2018/084423 WO2019205013A1 (en) | 2018-04-25 | 2018-04-25 | Vehicle seat adjustment method and vehicle seat adjustment apparatus |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108770351A CN108770351A (en) | 2018-11-06 |
| CN108770351B true CN108770351B (en) | 2021-09-07 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201880000334.5A Active CN108770351B (en) | 2018-04-25 | 2018-04-25 | Vehicle seat adjusting method and vehicle seat adjusting device |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN108770351B (en) |
| WO (1) | WO2019205013A1 (en) |
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| CN110737974B (en) * | 2019-09-29 | 2023-08-08 | 深圳市元征科技股份有限公司 | Method for standardized calibration of vehicle electronic seat and vehicle-mounted equipment |
| CN113119811A (en) * | 2019-12-31 | 2021-07-16 | 观致汽车有限公司 | Vehicle and seat adjusting method and system thereof |
| CN111137184A (en) * | 2020-01-08 | 2020-05-12 | 合肥晟泰克汽车电子股份有限公司 | Method for adjusting posture of seat |
| CN111559282A (en) * | 2020-04-17 | 2020-08-21 | 惠州市德赛西威汽车电子股份有限公司 | Intelligent automobile seat system and seat adjusting method |
| CN111572549A (en) * | 2020-05-13 | 2020-08-25 | 英华达（上海）科技有限公司 | Driving environment adjusting method and system, storage medium and electronic equipment |
| CN111681438A (en) * | 2020-06-05 | 2020-09-18 | 青海师范大学 | Traffic light vehicle speed guiding system |
| CN113246815B (en) * | 2021-07-14 | 2022-04-12 | 宁波均联智行科技股份有限公司 | Automatic adjusting method and device for vehicle seat |
| CN114132275B (en) * | 2021-11-04 | 2023-01-24 | 东风汽车集团股份有限公司 | Method, device and equipment for improving comfort degree of cabin and readable storage medium |
| CN113954703B (en) * | 2021-11-29 | 2023-04-28 | 东风汽车有限公司东风日产乘用车公司 | Vehicle space adjustment method, electronic device and storage medium |
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Also Published As
| Publication number | Publication date |
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| WO2019205013A1 (en) | 2019-10-31 |
| CN108770351A (en) | 2018-11-06 |
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