CN116279240A - Control method and device of vehicle adaptive adjustment device, vehicle and storage medium - Google Patents
Control method and device of vehicle adaptive adjustment device, vehicle and storage medium Download PDFInfo
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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
- B60R16/0373—Voice control
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L17/00—Speaker identification or verification techniques
- G10L17/02—Preprocessing operations, e.g. segment selection; Pattern representation or modelling, e.g. based on linear discriminant analysis [LDA] or principal components; Feature selection or extraction
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Abstract
The application relates to a control method and device of a vehicle adaptive adjustment device, a vehicle and a storage medium, wherein the method comprises the following steps: receiving a voice instruction of a user; extracting at least one voiceprint feature based on the voice command, and calling a calling request from a preset memory database according to the at least one voiceprint feature, wherein the calling request comprises a request of at least one part and/or one or more rearview mirrors of a main driving seat; the self-adaptive adjusting device is controlled to adjust according to the request of at least one part of the main driving seat and/or one or more rearview mirrors so as to adjust part or all of the gestures in the memory position of the self-adaptive adjusting device. According to the method, the positions of the seat and the rearview mirror are saved, the calling request of the rearview mirror and corresponding parts of the seat is called based on voice voiceprint features, the corresponding positions of the seat and the rearview mirror are adjusted and restored according to user will, the use experience of a user is greatly improved, and the reliability degree and the intelligent level of a vehicle are improved.
Description
Technical Field
The present disclosure relates to the field of vehicle control technologies, and in particular, to a control method and apparatus for a vehicle adaptive adjustment device, a vehicle, and a storage medium.
Background
With the development of vehicle technology, the demand of vehicle control convenience is also increasing, and the position adjustment demands of different users on the rearview mirror and the seat are different, so that the automobile rearview mirror and the seat memory are being accepted by more users as a practical technology.
At present, the related technology can be combined with vehicle voice assistant equipment to realize sound source positioning, improve voiceprint recognition and perception capability, realize seat adjustment and seat memory setting, reduce cost, and establish a voiceprint analysis and matching mechanism optimized for a long time by adopting a voiceprint rolling extraction analysis method, so that user experience is enhanced; in addition, the related art can also store driving habit setting information of a user, including the positions of a seat and a rearview mirror, and store voice print information of a driver through a voice recognition module; after the vehicle-mounted system is started, the driver calls driving information from the memory storage system through voice and automatically sets the driving information.
However, the related art binds and memorizes the positions of the seat and the rearview mirror, cannot memorize a plurality of position information at the same time, and independently restores each specific position of the main driving seat or the rearview mirror, so that the recall of the memory positions of the rearview mirror and the seat of different users is difficult to realize, the use experience of the users is greatly influenced, and the problem needs to be solved.
Disclosure of Invention
The application provides a control method, a control device, a control vehicle and a storage medium of vehicle self-adaptive adjusting equipment, which are used for solving the problems that the related technology cannot simultaneously memorize a plurality of position information, and can independently recover each specific position of a main driving seat or a rearview mirror, so that the recall of the memory positions of the rearview mirrors and seats of different users is difficult to realize.
An embodiment of a first aspect of the present application provides a control method of a vehicle adaptive adjustment device, the adaptive adjustment device including a main driving seat and a rearview mirror, wherein the method includes the steps of: receiving a voice instruction of a user; extracting at least one voiceprint feature based on the voice command, and calling a call request from a preset memory database according to the at least one voiceprint feature, wherein the call request comprises a request of at least one part and/or one or more rearview mirrors of the main driving seat; and controlling the adaptive adjusting device to adjust according to the request of at least one part of the main driving seat and/or one or more rearview mirrors so as to adjust part or all of the postures in the memory position of the adaptive adjusting device.
Optionally, in one embodiment of the present application, the at least one component includes at least one of a left mirror adjustment motor, a right mirror adjustment motor, a main drive seat front-rear adjustment motor, a main drive seat up-down adjustment motor, and a main drive seat back adjustment motor.
Optionally, in one embodiment of the present application, before extracting at least one voiceprint feature based on the voice instruction and invoking the invocation request from the preset memory database according to the at least one voiceprint feature, the method further includes: receiving a memory request of the user; based on the memory request, storing a current pose of the adaptive adjustment device and at least one voiceprint feature of the user into the preset memory database.
Optionally, in one embodiment of the present application, the invoking request from the preset memory database according to the at least one voiceprint feature includes: querying the preset memory database by taking the at least one voiceprint feature as an index; when the query result is present, calling a calling request in the preset memory database; and prompting a control failure signal when the query result is nonexistent.
Optionally, in one embodiment of the present application, the extracting the at least one voiceprint feature based on the voice instruction includes: the voice instructions are processed based on a pre-trained GMM-UBM model to extract the voiceprint features.
An embodiment of a second aspect of the present application provides a control apparatus of a vehicle adaptive adjustment device, including: the adaptive adjustment device comprises a main drive seat and a rearview mirror, wherein the device comprises: the receiving module is used for receiving the voice instruction of the user; the calling module is used for extracting at least one voiceprint feature based on the voice command and calling a calling request from a preset memory database according to the at least one voiceprint feature, wherein the calling request comprises a request of at least one part and/or one or more rearview mirrors of the main driving seat; and the adjusting module is used for controlling the self-adaptive adjusting equipment to adjust according to the request of at least one part of the main driving seat and/or one or more rearview mirrors so as to adjust part or all of the postures in the memory position of the self-adaptive adjusting equipment.
Optionally, in one embodiment of the present application, the at least one component includes at least one of a left mirror adjustment motor, a right mirror adjustment motor, a main drive seat front-rear adjustment motor, a main drive seat up-down adjustment motor, and a main drive seat back adjustment motor.
Optionally, in one embodiment of the present application, further includes: the request module is used for receiving the memory request of the user before extracting at least one voiceprint feature based on the voice instruction and calling the calling request from a preset memory database according to the at least one voiceprint feature; and the storage module is used for storing the current gesture of the self-adaptive adjusting device and at least one voiceprint feature of the user into the preset memory database based on the memory request.
Optionally, in one embodiment of the present application, the invoking module includes: the query unit is used for querying the preset memory database by taking the at least one voiceprint feature as an index; the first processing unit is used for calling the calling request in the preset memory database when the query result is present; and the second processing unit is used for prompting a control failure signal when the query result is nonexistent.
Optionally, in one embodiment of the present application, the calling module further includes: and the extraction unit is used for processing the voice instruction based on the pre-trained GMM-UBM model so as to extract the voiceprint features.
An embodiment of a third aspect of the present application provides a vehicle, including: the control method of the vehicle adaptive adjustment device according to the above embodiment includes a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the program.
A fourth aspect of the present application provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the control method of the vehicle adaptive adjustment apparatus as above.
Thus, embodiments of the present application have the following benefits:
the embodiment of the application can receive the voice instruction of the user; extracting at least one voiceprint feature based on the voice command, and calling a calling request from a preset memory database according to the at least one voiceprint feature, wherein the calling request comprises a request of at least one part and/or one or more rearview mirrors of a main driving seat; the self-adaptive adjusting device is controlled to adjust according to the request of at least one part of the main driving seat and/or one or more rearview mirrors so as to adjust part or all of the gestures in the memory position of the self-adaptive adjusting device. According to the method, the positions of the seat and the rearview mirror are saved, the calling request of the rearview mirror and corresponding parts of the seat is called based on voice voiceprint features, the corresponding positions of the seat and the rearview mirror are adjusted and restored according to user will, the use experience of a user is greatly improved, and the reliability degree and the intelligent level of a vehicle are improved. Therefore, the problems that the related technology cannot simultaneously memorize a plurality of position information, independently recover each specific position of the main driving seat or the rearview mirror, and the memory positions of the rearview mirrors and the seats of different users are difficult to call are solved.
Additional aspects and advantages of the 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 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, in which:
fig. 1 is a flowchart of a control method of a vehicle adaptive adjustment apparatus according to an embodiment of the present application;
fig. 2 is a schematic logic architecture diagram of a control method of a vehicle adaptive adjustment device according to an embodiment of the present application.
Fig. 3 is an example diagram of a control device of a vehicle adaptive adjustment apparatus 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.
The control device of the 10-vehicle self-adaptive adjusting device, the 100-receiving module, the 200-calling module, the 300-adjusting module, the 401-memory, the 402-processor and the 403-communication interface.
Detailed Description
Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and intended for the purpose of explaining the present application and are not to be construed as limiting the present application.
Control methods, devices, vehicles, and storage media of the vehicle adaptive adjustment apparatus according to the embodiments of the present application are described below with reference to the accompanying drawings. In view of the above-mentioned problems in the background art, the present application provides a control method of a vehicle adaptive adjustment apparatus, in which a voice instruction of a user is received; extracting at least one voiceprint feature based on the voice command, and calling a calling request from a preset memory database according to the at least one voiceprint feature, wherein the calling request comprises a request of at least one part and/or one or more rearview mirrors of a main driving seat; the self-adaptive adjusting device is controlled to adjust according to the request of at least one part of the main driving seat and/or one or more rearview mirrors so as to adjust part or all of the gestures in the memory position of the self-adaptive adjusting device. According to the method, the positions of the seat and the rearview mirror are saved, the calling request of the rearview mirror and corresponding parts of the seat is called based on voice voiceprint features, the corresponding positions of the seat and the rearview mirror are adjusted and restored according to user will, the use experience of a user is greatly improved, and the reliability degree and the intelligent level of a vehicle are improved. Therefore, the problems that the related technology cannot simultaneously memorize a plurality of position information, independently recover each specific position of the main driving seat or the rearview mirror, and the memory positions of the rearview mirrors and the seats of different users are difficult to call are solved.
Specifically, fig. 1 is a flowchart of a control method of a vehicle adaptive adjustment device according to an embodiment of the present application.
As shown in fig. 1, the adaptive adjustment apparatus includes a main driving seat and a rear view mirror, wherein the control method of the vehicle adaptive adjustment apparatus includes the steps of
In step S101, a voice instruction of a user is received.
In the embodiment of the application, the voice command sent by the user, such as 'calling of the external rearview mirror', can be received through the voice collecting equipment, such as a microphone, so that a basis is provided for adjusting the posture of the equipment, such as a vehicle seat or a rearview mirror.
In step S102, at least one voiceprint feature is extracted based on the voice command, and a call request is invoked from a preset memory database according to the at least one voiceprint feature, wherein the call request includes a request for at least one component of the primary drive seat and/or one or more rearview mirrors.
After receiving the voice command of the user, the embodiment of the application can further analyze and process the voice command of the user to extract the voiceprint feature, and call the corresponding call request from the memory database according to the voiceprint feature, so that the smooth realization of the adjustment of the main driving seat or the rearview mirror is ensured.
Optionally, in one embodiment of the present application, before extracting at least one voiceprint feature based on the voice instruction and invoking the invocation request from the preset memory database according to the at least one voiceprint feature, the method further includes: receiving a memory request of a user; based on the memory request, the current pose of the adaptive adjustment device and at least one voiceprint feature of the user are stored in a preset memory database.
Before receiving the voice command of the user, the user can adjust the rearview mirror and the seat to a proper position through the rearview mirror and the seat adjusting switch, and wake up the car machine through voice, the car machine can save and record voice print information of the user, the car machine sends a memory request signal to a car body controller after the user sends the voice command, for example, after memorizing the current position, the car body controller can save voice print characteristics of the user and the positions of the current rearview mirror and the main driving seat into a memory database after receiving the memory request signal, and feed back the save result to the car machine in the form of voice, for example, the mode of saving the positions of the current main driving seat and the rearview mirror is successful-! "etc., to indicate the state of the location save.
Therefore, the embodiment of the application stores the current gesture of the self-adaptive adjusting device and the voiceprint characteristics of the user into the memory database through the memory request of the user, so that reliable basis and guidance are provided for the subsequent recovery adjustment of the positions of the main driving seat and the rearview mirror.
Optionally, in one embodiment of the present application, extracting at least one voiceprint feature based on the voice instruction includes: the voice instructions are processed based on the pre-trained GMM-UBM model to extract voiceprint features.
According to the embodiment of the application, the acquired voice instruction of the user can be processed through the GMM-UBM model, so that the voiceprint characteristics of the user are obtained, and the safety of calling request calling is improved.
It should be noted that, in the actual implementation process, a person skilled in the art may also extract the voiceprint feature of the voice command through a model such as CMN or VTLN according to the actual situation, which is not limited herein specifically.
Optionally, in one embodiment of the present application, invoking the call request from the preset memory database according to the at least one voiceprint feature includes: querying a preset memory database by taking at least one voiceprint feature as an index; when the query result is present, calling a calling request in a preset memory database; and prompting a control failure signal when the query result is nonexistent.
It should be noted that, when a call request for retrieving the storage positions of the rearview mirror and the main driving seat based on the user voice command, the embodiment of the application also needs to analyze and determine the voiceprint features corresponding to the user voice command.
Specifically, after the voiceprint features of the user are extracted, the embodiment of the application can query whether the voiceprint features exist in the memory database, and if so, a call request corresponding to the voiceprint features is sent to the vehicle body controller so as to drive the rearview mirror and the main driving seat to be adjusted to corresponding storage positions; if the voiceprint characteristics are not queried in the memory database, the control failure information is prompted to a user in the form of voice and the like through the vehicle-mounted device, so that the reliability of the vehicle is ensured, and the safety of user data is improved.
Optionally, in one embodiment of the present application, the at least one component includes at least one of a left mirror adjustment motor, a right mirror adjustment motor, a main drive seat front-rear adjustment motor, a main drive seat up-down adjustment motor, and a main drive seat back adjustment motor.
In the embodiment of the application, the automobile machine memory database can record and store five groups of voice voiceprint characteristics simultaneously, and corresponds to the positions of five groups of rearview mirrors and parts in a main driving seat respectively, and the voice voiceprint characteristics comprise a left rearview mirror adjusting motor, a right rearview mirror adjusting motor, a main driving seat front-rear adjusting motor, a main driving seat up-down adjusting motor, a main driving seat backrest adjusting motor and the like.
For example, if five groups of voiceprint features including voiceprint 1, voiceprint 2, voiceprint 3, voiceprint 4, and voiceprint 5 are stored in the vehicle memory database, they may correspond to a left mirror adjustment motor call request, a right mirror adjustment motor call request, a main drive seat front-rear adjustment motor call request, a main drive seat up-down adjustment motor call request, and a main drive seat back adjustment motor call request, respectively, as shown in fig. 2.
If the memory position 1 is occupied, if the left rearview mirror adjusting motor call request is occupied, the voiceprint features recorded later are bound with the rest memory storage positions one by one until the five groups of memory positions are all occupied; in addition, the default voiceprint 1 is the master voiceprint feature, and the user can delete other voiceprint information through voice instructions, so that the use experience of the user is improved, and the use requirement of the user is met.
In step S103, the adaptive adjustment device is controlled to adjust according to the request of at least one component of the main driving seat and/or one or more rearview mirrors, so as to adjust part or all of the gestures in the memory position of the adaptive adjustment device.
After calling the corresponding parts of the main driving seat and the rearview mirror based on the voiceprint characteristics of the user, the embodiment of the application can further regulate and recover the corresponding parts of the main driving seat and the rearview mirror according to the calling request, so that the user can timely regulate the positions of the main driving seat and the rearview mirror, and the driving experience of the user and the driving safety of the vehicle are greatly improved.
According to the control method of the vehicle self-adaptive adjusting device, which is provided by the embodiment of the application, a voice instruction of a user is received; extracting at least one voiceprint feature based on the voice command, and calling a calling request from a preset memory database according to the at least one voiceprint feature, wherein the calling request comprises a request of at least one part and/or one or more rearview mirrors of a main driving seat; the self-adaptive adjusting device is controlled to adjust according to the request of at least one part of the main driving seat and/or one or more rearview mirrors so as to adjust part or all of the gestures in the memory position of the self-adaptive adjusting device. According to the method, the positions of the seat and the rearview mirror are saved, the calling request of the rearview mirror and corresponding parts of the seat is called based on voice voiceprint features, the corresponding positions of the seat and the rearview mirror are adjusted and restored according to user will, the use experience of a user is greatly improved, and the reliability degree and the intelligent level of a vehicle are improved.
Next, a control device of a vehicle adaptive adjustment apparatus according to an embodiment of the present application will be described with reference to the accompanying drawings.
Fig. 3 is a block schematic diagram of a control device of the vehicle adaptive adjustment apparatus according to the embodiment of the present application.
As shown in fig. 3, the adaptive adjustment apparatus includes a main driving seat and a rear view mirror, wherein the control device 10 of the vehicle adaptive adjustment apparatus includes: a receiving module 100, a retrieving module 200 and an adjusting module 300.
The receiving module 100 is configured to receive a voice command of a user.
The call module 200 is configured to extract at least one voiceprint feature based on the voice command, and call a call request from a preset memory database according to the at least one voiceprint feature, where the call request includes a request of at least one component and/or one or more rearview mirrors of the primary driving seat.
The adjusting module 300 is configured to control the adaptive adjusting device to adjust according to a request of at least one component of the main driving seat and/or one or more rearview mirrors, so as to adjust part or all of the gestures in the memory position of the adaptive adjusting device.
Optionally, in one embodiment of the present application, the at least one component includes at least one of a left mirror adjustment motor, a right mirror adjustment motor, a main drive seat front-rear adjustment motor, a main drive seat up-down adjustment motor, and a main drive seat back adjustment motor.
Optionally, in an embodiment of the present application, the control apparatus 10 of the vehicle adaptive adjustment device of the embodiment of the present application further includes: a request module and a storage module.
The request module is used for receiving the memory request of the user before extracting at least one voiceprint feature based on the voice instruction and calling the calling request from the preset memory database according to the at least one voiceprint feature.
And the storage module is used for storing the current gesture of the self-adaptive adjusting device and at least one voiceprint feature of the user into a preset memory database based on the memory request.
Optionally, in one embodiment of the present application, the invoking module 200 includes: the device comprises a query unit, a first processing unit and a second processing unit.
The query unit is used for querying the preset memory database by taking at least one voiceprint feature as an index.
And the first processing unit is used for calling the calling request in the preset memory database when the query result is present.
And the second processing unit is used for prompting a control failure signal when the query result is nonexistent.
Optionally, in one embodiment of the present application, the invoking module 200 further includes: and the extraction unit is used for processing the voice instruction based on the pre-trained GMM-UBM model so as to extract voiceprint features.
It should be noted that the foregoing explanation of the embodiment of the control method of the vehicle adaptive adjustment device is also applicable to the control apparatus of the vehicle adaptive adjustment device of this embodiment, and will not be repeated here.
According to the control device of the vehicle self-adaptive adjusting device, which is provided by the embodiment of the application, a voice instruction of a user is received; extracting at least one voiceprint feature based on the voice command, and calling a calling request from a preset memory database according to the at least one voiceprint feature, wherein the calling request comprises a request of at least one part and/or one or more rearview mirrors of a main driving seat; the self-adaptive adjusting device is controlled to adjust according to the request of at least one part of the main driving seat and/or one or more rearview mirrors so as to adjust part or all of the gestures in the memory position of the self-adaptive adjusting device. According to the method, the positions of the seat and the rearview mirror are saved, the calling request of the rearview mirror and corresponding parts of the seat is called based on voice voiceprint features, the corresponding positions of the seat and the rearview mirror are adjusted and restored according to user will, the use experience of a user is greatly improved, and the reliability degree and the intelligent level of a vehicle are improved.
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 implements the control method of the vehicle adaptive adjustment apparatus provided in the above-described embodiment when executing a program.
Further, the vehicle further includes:
a communication interface 403 for communication between the memory 401 and the processor 402.
A memory 401 for storing a computer program 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 by a bus and perform communication with each other. The bus may be an industry standard architecture (Industry Standard Architecture, abbreviated ISA) bus, an external device interconnect (Peripheral Component, abbreviated PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, abbreviated EISA) bus, among others. The buses may be divided into address buses, data buses, control buses, etc. For ease of illustration, only one thick line is shown in fig. 4, but not only one bus or one type of bus.
Alternatively, 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 communication with each other through internal interfaces.
The processor 402 may be a central processing unit (Central Processing Unit, abbreviated as CPU), or an application specific integrated circuit (Application Specific Integrated Circuit, abbreviated as ASIC), or one or more integrated circuits configured to implement embodiments of the present application.
The embodiment of the application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the control method of the vehicle adaptive adjustment apparatus as above.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," 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 present application. In this specification, schematic representations of the above terms are not necessarily directed 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, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present application, the meaning of "N" is at least two, such as two, three, etc., unless explicitly defined 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 executable instructions for implementing specific logical functions or steps of the process, and additional 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 from that shown or discussed, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or N wires, a portable computer cartridge (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described 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, may be implemented using any one or combination of the following techniques, as known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.
The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like. Although embodiments of the present application have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the application, and that variations, modifications, alternatives, and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the application.
Claims (10)
1. A control method of a vehicle adaptive adjustment apparatus, characterized in that the adaptive adjustment apparatus includes a main drive seat and a rear view mirror, wherein the method includes the steps of:
receiving a voice instruction of a user;
extracting at least one voiceprint feature based on the voice command, and calling a call request from a preset memory database according to the at least one voiceprint feature, wherein the call request comprises a request of at least one part and/or one or more rearview mirrors of the main driving seat; and
and controlling the self-adaptive adjusting device to adjust according to the request of at least one part and/or one or more rearview mirrors of the main driving seat so as to adjust part or all of the postures in the memory position of the self-adaptive adjusting device.
2. The method of claim 1, wherein the at least one component comprises at least one of a left mirror adjustment motor, a right mirror adjustment motor, a main drive seat front-rear adjustment motor, a main drive seat up-down adjustment motor, and a main drive seat back adjustment motor.
3. The method of claim 1, further comprising, prior to extracting at least one voiceprint feature based on the voice instruction and invoking the invocation request from a preset memory database in accordance with the at least one voiceprint feature:
receiving a memory request of the user;
based on the memory request, storing a current pose of the adaptive adjustment device and at least one voiceprint feature of the user into the preset memory database.
4. The method of claim 1, wherein the invoking the invocation request from the preset memory database according to the at least one voiceprint feature comprises:
querying the preset memory database by taking the at least one voiceprint feature as an index;
when the query result is present, calling a calling request in the preset memory database;
and prompting a control failure signal when the query result is nonexistent.
5. The method of claim 1, wherein the extracting the at least one voiceprint feature based on the voice instruction comprises:
the voice instructions are processed based on a pre-trained GMM-UBM model to extract the voiceprint features.
6. A control apparatus of a vehicle adaptive adjustment device, characterized in that the adaptive adjustment device includes a main drive seat and a rear view mirror, wherein the apparatus includes:
the receiving module is used for receiving the voice instruction of the user;
the calling module is used for extracting at least one voiceprint feature based on the voice command and calling a calling request from a preset memory database according to the at least one voiceprint feature, wherein the calling request comprises a request of at least one part and/or one or more rearview mirrors of the main driving seat; and
and the adjusting module is used for controlling the self-adaptive adjusting equipment to adjust according to the request of at least one part of the main driving seat and/or one or more rearview mirrors so as to adjust part or all of the postures in the memory position of the self-adaptive adjusting equipment.
7. The apparatus of claim 6, wherein the at least one component comprises at least one of a left mirror adjustment motor, a right mirror adjustment motor, a main drive seat front-rear adjustment motor, a main drive seat up-down adjustment motor, and a main drive seat back adjustment motor.
8. The apparatus as recited in claim 6, further comprising:
the request module is used for receiving the memory request of the user before extracting at least one voiceprint feature based on the voice instruction and calling the calling request from a preset memory database according to the at least one voiceprint feature;
and the storage module is used for storing the current gesture of the self-adaptive adjusting device and at least one voiceprint feature of the user into the preset memory database based on the memory request.
9. A vehicle, characterized by 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 control method of the vehicle adaptive adjustment device according to any one of claims 1 to 5.
10. A computer-readable storage medium having stored thereon a computer program, characterized in that the program is executed by a processor for realizing the control method of the vehicle adaptive adjustment device according to any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310215608.5A CN116279240A (en) | 2023-03-02 | 2023-03-02 | Control method and device of vehicle adaptive adjustment device, vehicle and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310215608.5A CN116279240A (en) | 2023-03-02 | 2023-03-02 | Control method and device of vehicle adaptive adjustment device, vehicle and storage medium |
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| CN116279240A true CN116279240A (en) | 2023-06-23 |
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| CN202310215608.5A Pending CN116279240A (en) | 2023-03-02 | 2023-03-02 | Control method and device of vehicle adaptive adjustment device, vehicle and storage medium |
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