CN117253279A - Vehicle remote control method, device and medium based on vehicle-mounted information service unit - Google Patents

Vehicle remote control method, device and medium based on vehicle-mounted information service unit Download PDF

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CN117253279A
CN117253279A CN202311532691.5A CN202311532691A CN117253279A CN 117253279 A CN117253279 A CN 117253279A CN 202311532691 A CN202311532691 A CN 202311532691A CN 117253279 A CN117253279 A CN 117253279A
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user face
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张钰琨
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Blue Flame Technology Chengdu Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172Classification, e.g. identification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/46Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
    • G06V10/467Encoded features or binary features, e.g. local binary patterns [LBP]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/761Proximity, similarity or dissimilarity measures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168Feature extraction; Face representation
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H04L67/125Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/32Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials
    • H04L9/3226Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials using a predetermined code, e.g. password, passphrase or PIN
    • H04L9/3231Biological data, e.g. fingerprint, voice or retina

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Abstract

The invention discloses a vehicle remote control method, device and medium based on a vehicle-mounted information service unit, and relates to the technical field of vehicle control. The method comprises the steps of obtaining authentication information sent by a user terminal, wherein the authentication information comprises a user face image; extracting LBP characteristics of each region in the face image of the user to obtain a plurality of first LBP characteristics corresponding to the face image of the user; matching the first LBP characteristics with the second LBP characteristics corresponding to the binding user face images of the angles in the binding user face images of the angles of the bound user; and if the first LBP characteristics are matched with the second LBP characteristics corresponding to one of the angle binding user face images, judging that the authentication is passed, and performing remote control on the vehicle according to control information sent by the user terminal after the authentication is passed. The method, the device and the medium disclosed by the invention can ensure the safety of remote control of the vehicle.

Description

Vehicle remote control method, device and medium based on vehicle-mounted information service unit
Technical Field
The invention belongs to the technical field of vehicle control, and particularly relates to a vehicle remote control method, device and medium based on a vehicle-mounted information service unit.
Background
Along with the continuous improvement of the living standard of people, automobiles become indispensable tools for riding instead of walking in people's life, and in order to facilitate the control of vehicles, the vehicles are often bound with user terminals and controlled remotely by the user terminals, for example, the air conditioner is opened in advance before riding in hot summer or cold winter to adjust the temperature in the vehicle or the doors are opened remotely so as to facilitate other people to take articles from the vehicle.
At present, the remote control of vehicles in the market is mainly realized by directly binding a user terminal with the vehicles and directly controlling the vehicles through the user terminal, however, by adopting the setting mode, the vehicles are easy to be controlled by illegal users after the user terminal is lost, and great hidden trouble is brought to the remote control of the vehicles.
Therefore, how to provide an effective solution to avoid the problem that the vehicle is easily controlled by an illegal user while realizing remote control of the vehicle has become a urgent problem in the prior art.
Disclosure of Invention
The invention aims to provide a vehicle remote control method, device and medium based on a vehicle-mounted information service unit, which are used for solving the problems in the prior art.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
in a first aspect, the present invention provides a vehicle remote control method based on a vehicle-mounted information service unit, applied to the vehicle-mounted information service unit, including:
acquiring authentication information sent by a user terminal, wherein the authentication information comprises a user face image;
extracting LBP features of each region in the user face image to obtain a plurality of first LBP features corresponding to the user face image;
matching the first LBP features with the second LBP features corresponding to the binding user face images of the angles in the binding user face images of the angles of the bound user;
and if the first LBP characteristics are matched with the second LBP characteristics corresponding to one of the angle binding user face images, judging that the authentication is passed, and performing remote control on the vehicle according to the control information sent by the user terminal after the authentication is passed.
Based on the above disclosure, the authentication information sent by the user terminal is obtained, and the authentication information comprises a user face image; extracting LBP characteristics of each region in a user face image to obtain a plurality of first LBP characteristics corresponding to the user face image; matching the first LBP characteristics with the second LBP characteristics corresponding to the binding user face images of the angles in the binding user face images of the angles of the bound user; and if the first LBP characteristics are matched with the second LBP characteristics corresponding to one of the angle binding user face images, judging that the authentication is passed, and performing remote control on the vehicle according to control information sent by the user terminal after the authentication is passed. Therefore, when the vehicle is remotely controlled, the face image of the user can be identified, so that the remote control of the vehicle is initiated by the bound user, the safety of the remote control of the vehicle is ensured, and the vehicle is prevented from being easily controlled by an illegal user.
Through the design, the invention can identify the face image of the user when the vehicle is remotely controlled, thereby ensuring that the remote control of the vehicle is initiated by the bound user, ensuring the safety of the remote control of the vehicle, avoiding that the vehicle is easily controlled by illegal users, and being convenient for practical application and popularization.
In one possible design, the extracting the LBP features of each region in the face image of the user to obtain a plurality of first LBP features corresponding to the face image of the user includes:
converting the user face image into a gray image;
dividing the gray image into a plurality of areas to obtain a plurality of gray image blocks;
performing wavelet decomposition on each gray image block to obtain a plurality of sub-band images corresponding to each gray image block;
calculating LBP values of pixel points in each sub-band image in the plurality of sub-band images corresponding to each gray image block to obtain LBP histograms of each sub-band image in the plurality of sub-band images corresponding to each gray image block;
and extracting the characteristics of the LBP histogram of each sub-band image in the plurality of sub-band images corresponding to each gray image block to obtain a plurality of first LBP characteristics corresponding to the user face image.
In one possible design, the plurality of subband images includes a low frequency subband image, a high frequency subband image in a horizontal direction, a high frequency subband image in a vertical direction, and a high frequency subband image in a diagonal direction.
In one possible design, the LBP value of any pixel in the subband image isWherein->Represent the firstiLBP value of each pixel, +.>Show the firstiGray value of each pixel, +.>Show the firstiThe 8 th neighborhood pixel point of each pixel pointaGray value of each pixel, +.>
In one possible design, before dividing the grayscale image into the plurality of regions, the method further includes:
and adjusting the size of the gray scale image to a specified size.
In one possible design, the resizing the grayscale image to a specified size includes:
and carrying out normalization processing on the gray level image to obtain a gray level image with a specified size and specified gray level mean and variance.
In one possible design, the matching the plurality of first LBP features with a plurality of second LBP features corresponding to each angle binding user face image in the binding user face images of the plurality of angles of the bound user includes:
combining the plurality of first LBP features to obtain a first LBP combined feature;
combining a plurality of second LBP characteristics corresponding to the binding user face images of all angles in the binding user face images of all angles to obtain a plurality of second LBP combined characteristics corresponding to the angles one by one;
and calculating the similarity of the first LBP combination characteristic and each second LBP combination characteristic in the plurality of second LBP combination characteristics.
In a second aspect, the present invention provides a vehicle remote control device based on a telematics unit, applied to the telematics unit, comprising:
the acquisition module is used for acquiring authentication information sent by the user terminal, wherein the authentication information comprises a user face image;
the extraction module is used for extracting LBP characteristics of each region in the user face image to obtain a plurality of first LBP characteristics corresponding to the user face image;
the matching module is used for matching the plurality of first LBP features with a plurality of second LBP features corresponding to the binding user face images of the angles in the binding user face images of the angles of the bound user;
and the judging module is used for judging that the authentication is passed if the plurality of first LBP features are matched with the plurality of second LBP features corresponding to one angle of the binding user face image, so that the vehicle is remotely controlled according to the control information sent by the user terminal after the authentication is passed.
In a third aspect, the present invention provides another vehicle remote control device based on a telematics unit, including a memory, a processor and a transceiver that are sequentially communicatively connected, where the memory is configured to store a computer program, the transceiver is configured to send and receive a message, and the processor is configured to read the computer program, and execute the vehicle remote control method based on a telematics unit according to the first aspect or any one of the first aspects.
In a fourth aspect, the present invention provides a computer readable storage medium having instructions stored thereon, which when executed on a computer, perform the telematics unit-based vehicle remote control method of the first aspect or any one of the first aspects.
In a fifth aspect, the present invention provides a computer program product comprising instructions which, when run on a computer, cause the computer to perform a telematics unit based vehicle remote control method as described in the first aspect or any one of the possible designs of the first aspect.
The beneficial effects are that:
the vehicle remote control method, the vehicle remote control device and the vehicle remote control medium based on the vehicle-mounted information service unit can identify the face image of the user when the vehicle is remotely controlled, so that the remote control of the vehicle is initiated by the bound user, the safety of the vehicle remote control is ensured, the vehicle is prevented from being controlled by illegal users easily, and the vehicle remote control method, the vehicle remote control device and the vehicle remote control medium are convenient for practical application and popularization.
Drawings
Fig. 1 is a flowchart of a vehicle remote control method based on a telematics unit according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a vehicle remote control device based on a telematics unit according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of another vehicle remote control device based on a telematics unit according to an embodiment of the present application.
Detailed Description
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the present invention will be briefly described below with reference to the accompanying drawings and the description of the embodiments or the prior art, and it is obvious that the following description of the structure of the drawings is only some embodiments of the present invention, and other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art. It should be noted that the description of these examples is for aiding in understanding the present invention, but is not intended to limit the present invention.
It will be understood that, although the terms first, second, etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another element. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of example embodiments of the present invention.
It should be understood that for the term "and/or" that may appear herein, it is merely one association relationship that describes an associated object, meaning that there may be three relationships, e.g., a and/or B, may represent: a alone, B alone, and both a and B; for the term "/and" that may appear herein, which is descriptive of another associative object relationship, it means that there may be two relationships, e.g., a/and B, it may be expressed that: a alone, a alone and B alone; in addition, for the character "/" that may appear herein, it is generally indicated that the context associated object is an "or" relationship.
In order to avoid that a vehicle is easy to be controlled by an illegal user, the embodiment of the application provides a vehicle remote control method, a vehicle remote control device and a vehicle remote control medium based on a vehicle-mounted information service unit.
The vehicle remote control method based on the telematics unit provided in the embodiment of the present application may be applied to a telematics unit (TMU), and it is understood that the execution body does not constitute a limitation of the embodiment of the present application.
The vehicle remote control method based on the telematics unit provided in the embodiment of the present application will be described in detail.
As shown in fig. 1, a flowchart of a telematics unit-based vehicle remote control method provided in the first aspect of the embodiment of the present application may, but is not limited to, include the following steps S101-S104.
S101, acquiring authentication information sent by a user terminal, wherein the authentication information comprises a user face image.
In the embodiment of the application, user authentication is required before the vehicle is remotely controlled. During user authentication, a user face image can be acquired through an image pickup unit of the user terminal, and authentication information containing the user face image is sent to the vehicle-mounted information service unit.
S102, extracting LBP features of each region in the face image of the user to obtain a plurality of first LBP features corresponding to the face image of the user.
Specifically, step S102 may include, but is not limited to, the following steps S1021-S1025.
And S1021, converting the face image of the user into a gray image.
And S1022, dividing the gray image into a plurality of areas to obtain a plurality of gray image blocks.
Wherein each region corresponds to a gray image block.
In one or more embodiments, the size of the gray image may also be adjusted to a specified size prior to dividing the gray image into the plurality of regions. Specifically, the gray image may be normalized to obtain a gray image of a specified size and having a specified gray mean and variance.
And S1023, carrying out wavelet decomposition on each gray image block to obtain a plurality of sub-band images corresponding to each gray image block.
The plurality of subband images may include, but are not limited to, a low frequency subband image, a high frequency subband image in a horizontal direction, a high frequency subband image in a vertical direction, and a high frequency subband image in a diagonal direction. For example, a gray image is divided into 16 gray image blocks, and each gray image block in the 16 gray image blocks can be subjected to wavelet decomposition to obtain a low-frequency subband image corresponding to each image block, a high-frequency subband image in the horizontal direction, a high-frequency subband image in the vertical direction, and a high-frequency subband image in the diagonal direction, namely 16×4 subband images in total.
Wavelet decomposition is prior art and is not described in detail in the examples of this application.
S1024, calculating LBP values of pixel points in each sub-band image in the plurality of sub-band images corresponding to each gray image block, and obtaining LBP histograms of each sub-band image in the plurality of sub-band images corresponding to each gray image block.
In the embodiment of the present application, the LBP (Local Binary Pattern ) value of any pixel in the subband image can be expressed asWherein->Represent the firstiLBP value of each pixel, +.>Show the firstiGray value of each pixel, +.>Show the firstiThe 8 th neighborhood pixel point of each pixel pointaThe gray value of each pixel point,a represents the firstiAnd the order of each neighborhood pixel point is ordered in the clockwise direction from the neighborhood pixel point in the upper left corner in the 8 neighborhood pixel points of each pixel point.
The LBP value of each pixel point in each sub-band image can be calculated through the formula, and then the LBP histogram of each sub-band image is formed according to the LBP value of each pixel point in each sub-band image.
In the embodiment of the present application, each gray image block corresponds to four subband images (a low frequency subband image, a high frequency subband image in the horizontal direction, a high frequency subband image in the vertical direction, and a high frequency subband image in the diagonal direction), so that four corresponding LBP histograms can be determined for each image block.
And S1025, extracting features of LBP histograms of each sub-band image in the plurality of sub-band images corresponding to each gray image block to obtain a plurality of first LBP features corresponding to the user face image.
In this embodiment, for any gray image block (each gray image block corresponds to an area), feature extraction may be performed on the LBP histogram of each of the plurality of subband images corresponding to the any gray image block, to obtain a plurality of LBP features (may be multidimensional vectors composed of LBP values) corresponding to the plurality of subband images, and then the plurality of LBP features corresponding to the plurality of subband images are combined to obtain a first LBP feature corresponding to the gray image block.
For example, the LBP features corresponding to the four sub-band images of a gray scale image block are respectively LBP1, LBP2, LBP3 and LBP4, and then the combination of the four LBP features results in a first LBP feature corresponding to the gray scale image block being denoted as [ LBP1, LBP2, LBP3, LBP4].
S103, matching the first LBP features with the second LBP features corresponding to the binding user face images of the angles in the binding user face images of the angles of the bound user.
In this embodiment of the present application, a plurality of second LBP features corresponding to each angle-binding user face image of the binding user face image are stored in advance, and the plurality of second LBP features corresponding to each angle-binding user face image may be determined based on the same manner as in the foregoing step S102. Binding user face images may refer to face images of users that are allowed to remotely control the vehicle.
When the first LBP features are matched with the second LBP features corresponding to the angle binding user face images, the first LBP features are combined to obtain first LBP combined features, the second LBP features corresponding to the angle binding user face images in the angle binding user face images are combined to obtain second LBP combined features corresponding to the angles one by one, and then the similarity of the first LBP combined features and the second LBP combined features in the second LBP combined features is calculated. The similarity between the first LBP combination feature and each of the plurality of second LBP combination features may be determined by calculating a distance between the first LBP combination feature and each of the plurality of second LBP combination features, and if the distance between the first LBP combination feature and a certain one of the plurality of second LBP combination features is lower than a preset threshold, it is determined that the first LBP combination feature is similar to a certain one of the plurality of second LBP combination features, that is, the plurality of first LBP features are matched with a plurality of second LBP features corresponding to a certain angle of the face image of the bound user, that is, the user corresponding to the face image of the user is a user allowed to remotely control the vehicle.
Step S104, if the first LBP features are matched with the second LBP features corresponding to one of the angle binding user face images, the vehicle is judged to pass authentication, and the vehicle is controlled remotely according to control information sent by the user terminal after the authentication passes.
If the first LBP features are matched with the second LBP features corresponding to the binding user face image of one angle in the binding user face images of the angles, the authentication is judged to be passed, and at the moment, the user can send control information to the vehicle-mounted information service unit through the user terminal so as to remotely control the vehicle. For example, to control opening and closing of a vehicle door or a trunk door, or to control unlocking of a vehicle, etc.
In summary, according to the vehicle remote control method based on the vehicle-mounted information service unit provided by the embodiment of the application, the authentication information sent by the user terminal is obtained, and the authentication information includes a user face image; extracting LBP characteristics of each region in a user face image to obtain a plurality of first LBP characteristics corresponding to the user face image; matching the first LBP characteristics with the second LBP characteristics corresponding to the binding user face images of the angles in the binding user face images of the angles of the bound user; and if the first LBP characteristics are matched with the second LBP characteristics corresponding to one of the angle binding user face images, judging that the authentication is passed, and performing remote control on the vehicle according to control information sent by the user terminal after the authentication is passed. Therefore, when the vehicle is remotely controlled, the face image of the user can be identified, so that the remote control of the vehicle is initiated by the bound user, the safety of the remote control of the vehicle is ensured, the vehicle is prevented from being easily controlled by an illegal user, and the vehicle is convenient for practical application and popularization.
Referring to fig. 2, a second aspect of the embodiments of the present application provides a vehicle remote control device based on a telematics unit, which is applicable to a telematics unit, and the vehicle remote control device based on a telematics unit includes:
the acquisition module is used for acquiring authentication information sent by the user terminal, wherein the authentication information comprises a user face image;
the extraction module is used for extracting LBP characteristics of each region in the user face image to obtain a plurality of first LBP characteristics corresponding to the user face image;
the matching module is used for matching the plurality of first LBP features with a plurality of second LBP features corresponding to the binding user face images of the angles in the binding user face images of the angles of the bound user;
and the judging module is used for judging that the authentication is passed if the plurality of first LBP features are matched with the plurality of second LBP features corresponding to one angle of the binding user face image, so that the vehicle is remotely controlled according to the control information sent by the user terminal after the authentication is passed.
The working process, working details and technical effects of the vehicle remote control device based on the telematics unit provided in the second aspect of the present embodiment can be referred to in the first aspect of the embodiment, and are not repeated herein.
As shown in fig. 3, a third aspect of the embodiment of the present application provides another telematics unit-based vehicle remote control device, which includes a memory, a processor, and a transceiver that are sequentially communicatively connected, where the memory is configured to store a computer program, the transceiver is configured to send and receive a message, and the processor is configured to read the computer program, and execute the telematics unit-based vehicle remote control method according to the first aspect of the embodiment.
By way of specific example, the Memory may include, but is not limited to, random Access Memory (RAM), read Only Memory (ROM), flash Memory (Flash Memory), first-in-first-out Memory (FIFO), and/or first-in-last-out Memory (FILO), etc.; the processor may not be limited to a processor adopting architecture such as a microprocessor, ARM (Advanced RISC Machines), X86, etc. of the model STM32F105 series or a processor integrating NPU (neural-network processing units); the transceiver may be, but is not limited to, a WiFi (wireless fidelity) wireless transceiver, a bluetooth wireless transceiver, a general packet radio service technology (General Packet Radio Service, GPRS) wireless transceiver, a ZigBee protocol (low power local area network protocol based on the ieee802.15.4 standard), a 3G transceiver, a 4G transceiver, and/or a 5G transceiver, etc.
A fourth aspect of the present embodiment provides a computer readable storage medium storing instructions comprising the telematics unit-based vehicle remote control method according to the first aspect of the present embodiment, i.e. the computer readable storage medium has instructions stored thereon, which when executed on a computer, perform the telematics unit-based vehicle remote control method according to the first aspect. The computer readable storage medium refers to a carrier for storing data, and may include, but is not limited to, a floppy disk, an optical disk, a hard disk, a flash Memory, and/or a Memory Stick (Memory Stick), etc., where the computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable devices.
A fifth aspect of the present embodiment provides a computer program product comprising instructions which, when run on a computer, cause the computer to perform the telematics unit-based vehicle remote control method of the first aspect of the embodiment, wherein the computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable device.
It should be understood that specific details are provided in the following description to provide a thorough understanding of the example embodiments. However, it will be understood by those of ordinary skill in the art that the example embodiments may be practiced without these specific details. For example, a system may be shown in block diagrams in order to avoid obscuring the examples with unnecessary detail. In other instances, well-known processes, structures, and techniques may be shown without unnecessary detail in order to avoid obscuring the example embodiments.
Finally, it should be noted that: the foregoing description is only of the preferred embodiments of the invention and is not intended to limit the scope of the invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. The vehicle remote control method based on the vehicle-mounted information service unit is applied to the vehicle-mounted information service unit and is characterized by comprising the following steps of:
acquiring authentication information sent by a user terminal, wherein the authentication information comprises a user face image;
extracting LBP features of each region in the user face image to obtain a plurality of first LBP features corresponding to the user face image;
matching the first LBP features with the second LBP features corresponding to the binding user face images of the angles in the binding user face images of the angles of the bound user;
and if the first LBP characteristics are matched with the second LBP characteristics corresponding to one of the angle binding user face images, judging that the authentication is passed, and performing remote control on the vehicle according to the control information sent by the user terminal after the authentication is passed.
2. The vehicle remote control method based on the telematics unit of claim 1, wherein the extracting LBP features of each region in the user face image to obtain a plurality of first LBP features corresponding to the user face image includes:
converting the user face image into a gray image;
dividing the gray image into a plurality of areas to obtain a plurality of gray image blocks;
performing wavelet decomposition on each gray image block to obtain a plurality of sub-band images corresponding to each gray image block;
calculating LBP values of pixel points in each sub-band image in the plurality of sub-band images corresponding to each gray image block to obtain LBP histograms of each sub-band image in the plurality of sub-band images corresponding to each gray image block;
and extracting the characteristics of the LBP histogram of each sub-band image in the plurality of sub-band images corresponding to each gray image block to obtain a plurality of first LBP characteristics corresponding to the user face image.
3. The telematics unit-based vehicle remote control method of claim 2, wherein the plurality of sub-band images includes a low-frequency sub-band image, a high-frequency sub-band image in a horizontal direction, a high-frequency sub-band image in a vertical direction, and a high-frequency sub-band image in a diagonal direction.
4. The telematics unit-based vehicle remote control method of claim 2, wherein the LBP value of any pixel in the sub-band image isWherein->Represent the firstiLBP value of each pixel, +.>Show the firstiGray value of each pixel, +.>Show the firstiThe 8 th neighborhood pixel point of each pixel pointaThe gray value of each pixel point,
5. the telematics unit-based vehicle remote control method of claim 2, further comprising, prior to dividing the grayscale image into the plurality of regions:
and adjusting the size of the gray scale image to a specified size.
6. The telematics unit-based vehicle remote control method of claim 5, wherein the resizing the grayscale image to a specified size comprises:
and carrying out normalization processing on the gray level image to obtain a gray level image with a specified size and specified gray level mean and variance.
7. The vehicle remote control method based on the telematics unit of claim 1, wherein the matching the plurality of first LBP features with the plurality of second LBP features corresponding to each angle-bound user face image of the plurality of angles-bound user face images of the bound user includes:
combining the plurality of first LBP features to obtain a first LBP combined feature;
combining a plurality of second LBP characteristics corresponding to the binding user face images of all angles in the binding user face images of all angles to obtain a plurality of second LBP combined characteristics corresponding to the angles one by one;
and calculating the similarity of the first LBP combination characteristic and each second LBP combination characteristic in the plurality of second LBP combination characteristics.
8. A vehicle remote control device based on a vehicle-mounted information service unit, applied to the vehicle-mounted information service unit, characterized by comprising:
the acquisition module is used for acquiring authentication information sent by the user terminal, wherein the authentication information comprises a user face image;
the extraction module is used for extracting LBP characteristics of each region in the user face image to obtain a plurality of first LBP characteristics corresponding to the user face image;
the matching module is used for matching the plurality of first LBP features with a plurality of second LBP features corresponding to the binding user face images of the angles in the binding user face images of the angles of the bound user;
and the judging module is used for judging that the authentication is passed if the plurality of first LBP features are matched with the plurality of second LBP features corresponding to one angle of the binding user face image, so that the vehicle is remotely controlled according to the control information sent by the user terminal after the authentication is passed.
9. A vehicle remote control device based on a telematics unit, comprising a memory, a processor and a transceiver which are sequentially in communication connection, wherein the memory is used for storing a computer program, the transceiver is used for receiving and transmitting a message, and the processor is used for reading the computer program and executing the vehicle remote control method based on the telematics unit according to any one of claims 1 to 7.
10. A computer-readable storage medium, having stored thereon instructions that, when executed on a computer, perform the telematics unit-based vehicle remote control method of any one of claims 1 to 7.
CN202311532691.5A 2023-11-17 2023-11-17 Vehicle remote control method, device and medium based on vehicle-mounted information service unit Pending CN117253279A (en)

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