CN110588551A - Automatic adjustment method and automatic adjustment device for vehicle-mounted personalization of user based on feature recognition - Google Patents
Automatic adjustment method and automatic adjustment device for vehicle-mounted personalization of user based on feature recognition Download PDFInfo
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- CN110588551A CN110588551A CN201910920927.XA CN201910920927A CN110588551A CN 110588551 A CN110588551 A CN 110588551A CN 201910920927 A CN201910920927 A CN 201910920927A CN 110588551 A CN110588551 A CN 110588551A
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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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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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Abstract
The invention provides an automatic adjustment method and an automatic adjustment device for vehicle-mounted personalization of a user based on feature recognition, which comprise the following steps: step S1, collecting user characteristic information through a recognition device and obtaining the personalized parameters of the current vehicle; step S2, calculating the distance between the intelligent key carried by the user and the vehicle, and judging whether to start the device identification according to the calculated distance; step S3, starting feature information identification and obtaining the ID of the user; step S4, obtaining the personalized parameters of the ID corresponding to the vehicle model according to the user ID and performing personalized adjustment on the equipment of the vehicle; the personalized parameters come from a vehicle about to be driven by the user or come from a sharing server connected with the vehicle about to be driven by the user. The technical scheme provided by the invention can automatically adjust the seat and the rearview mirror before a user gets on the vehicle by combining with the characteristic identification technology.
Description
Technical Field
The invention relates to the field of automobiles, in particular to a personalized automatic adjusting method and an automatic adjusting device for seats, rearview mirrors and multimedia based on characteristic identification and judgment of user identities.
Background
Along with the popularization of automobiles, more and more automobiles enter thousands of households, the living consumption level of people is continuously improved, the number of automobiles is also continuously increased, and the intelligent requirements of people on electric appliances in the automobiles are higher and higher. At present, a plurality of families share one automobile by a plurality of people, but different drivers have different requirements on the arrangement of equipment in the automobile, such as the arrangement of the height, the angle and the position of a seat, the arrangement of the angle of an outer rear view mirror and an inner rear view mirror, the arrangement of the color of an atmosphere lamp, the height of a dipped headlight, the on/off of a daytime running light and the like of the automobile lamp, the arrangement of the air volume, the temperature, the internal and external circulation and the like of an air conditioner, and different preferences of the arrangement of a radio list, a navigation collection, an address book, the screen brightness, the audio and the like of. For example, in a family member, a father is generally higher than a mother, the father drives a car to drive a seat at a position different from that of the mother, and the position of the seat is closely related to the rearview mirror, so that the father adjusts the seat and the rearview mirror every time the car is driven, and if the mother drives the car, the seat and the rearview mirror are adjusted again, which is very troublesome and time-consuming. In addition, on the one hand, the shared automobile is pushed out at the present stage, so that one automobile is provided for a plurality of people to take, the heights, the leg lengths and the rising heights of each person are different, the positions of the seat and the rearview mirror need to be manually adjusted by a driver when the shared automobile is driven each time, the seat height debugging is troublesome and time-consuming, and poor experience is brought to the driver.
At present, key type memorable seats and remote control key type memorable seats are mainly used in the market, but the operations of memory or adjustment of the seats of the types can be completed only by manual intervention, and autonomous memory is not realized. For the button type memory seat, the position parameters of the seat are memorized, restored and stored by manually pressing the button. For the remote control key type memory seat, although the seat can be automatically adjusted when the vehicle is opened, the process of manually inputting the seat position information into the key to be memorized and stored is very complicated, and one key can only memorize the position information of one person. Whether the key memory or the key memory is adopted, the memory process or the automatic adjustment process of the automobile driver needs manual intervention to be completed, the driving habits which the driver is familiar with are influenced, and the design can lead the number of the memorable people to be limited by hardware.
In the prior art, patent (CN110103865A) discloses a personalized configuration application system for a driver on board based on face recognition, which stores position information of a seat and a rearview mirror adjusted by the driver after recognizing the driver through a face recognition module. However, in the adjusting mode, after the driver enters the vehicle and recognizes the ID of the driver, the system calls the seat parameter and the rearview mirror parameter corresponding to the ID to adjust, but the driver needs to sit on the seat to recognize the seat, the moving process of the seat brings about a bad experience to the driver and needs to spend a period of time to adjust, which wastes time, and the driver needs to wait for adjusting the vehicle for a period of time before starting the vehicle, so that the prior art still has defects and needs to provide a technical scheme for solving the defects.
Disclosure of Invention
Based on the defects in the prior art, the technical problem to be solved by the invention is to provide an automatic adjustment method and an automatic device for vehicle-mounted personalization of a user, which can be identified according to characteristics.
In order to achieve the above object, the present invention provides an automatic adjustment method for vehicle-mounted personalization of a user based on feature recognition, comprising:
step S1, collecting user characteristic information through a recognition device and obtaining the personalized parameters of the current vehicle;
step S2, calculating the distance between the intelligent key carried by the user and the vehicle, judging whether the starting device is identified according to the calculated distance, if the calculated distance is within the starting threshold range, executing step S3, and if the calculated distance is outside the starting threshold range, ending the process;
step S3, starting feature information identification and obtaining the ID of the user;
step S4, obtaining the personalized parameters of the ID corresponding to the vehicle model according to the user ID and performing personalized adjustment on the equipment of the vehicle;
the characteristic information comprises one or more of face information, fingerprint information, voiceprint information and iris information of the user;
the personalized parameters come from a vehicle about to be driven by the user or come from a sharing server connected with the vehicle about to be driven by the user.
The invention provides a user vehicle-mounted personalized automatic adjustment method based on feature recognition, and further, the personalized adjustment comprises the automatic adjustment of the position of a vehicle rearview mirror, the position of a vehicle seat and multimedia playing content application personalized parameters;
the recognition device is installed on the intelligent key or the front position of a driver in the vehicle or the B column outside the vehicle.
The invention provides a user vehicle-mounted personalized automatic adjusting method based on feature recognition, and further the step S1 specifically comprises the following steps: a user inputs information through the identification device module, manually adjusts the equipment position of the current vehicle after the information is successfully input, and sends the position of the current vehicle equipment to the vehicle-mounted host;
the vehicle equipment comprises one or more of a rearview mirror, a seat and multimedia.
The invention provides a method for automatically adjusting vehicle-mounted personalization of a user based on feature recognition, and further the method for inputting information by the user through a recognition device module specifically comprises the following steps:
step S11, creating a user account ID;
step S12, newly creating a recognition device module to collect the characteristic information of the user;
step S13, judging whether the user characteristic information collected by the characteristic recognition device is successful, if so, executing step S14, if not, returning to step S12 to continue collecting the characteristic information;
step S14, the user' S characteristic information is bound with the account ID.
The invention provides a user vehicle-mounted personalized automatic adjusting method based on feature recognition, and further the step of manually adjusting the equipment position of the current vehicle and sending the position of the current vehicle equipment to a vehicle-mounted host computer comprises the following steps:
step S15, the user manually adjusts the personalized parameters of the vehicle, wherein the personalized parameters comprise seat parameters, left and right rearview mirror parameters or multimedia parameters;
and step S16, sending the personalized parameters, the characteristic information, the account ID and the vehicle model under the user ID to a sharing server, and after receiving the personalized parameters, the sharing server generates the personalized parameters corresponding to different vehicle types corresponding to the characteristic information of the user by calling a built-in algorithm.
The invention provides a user vehicle-mounted personalized automatic adjusting method based on feature recognition, and further the step S3 specifically comprises the following steps:
step S31, the characteristic identification module collects the characteristic information of the current user and identifies the characteristic information, if the identification is successful, the step S32 is executed, if the identification is unsuccessful, the step S34 is executed;
step S32, obtaining ID corresponding to the user characteristic information;
step S33, judging whether the current vehicle has the personalized adjusting parameter corresponding to the user ID, if yes, ending the process; if not, go to step S34;
step S34, sending the characteristic information of the user and the current vehicle type to a sharing server;
step S35, the sharing server calls an internal algorithm to identify the characteristic information of the user and judges whether the identification is successful, if the identification is successful, the ID of the user is obtained, and the step S36 is executed; if the identification fails, sending information without the user ID to the current vehicle;
and step S36, sending the user ID, the characteristic information and the personalized parameters corresponding to the model of the vehicle to be driven by the current user to the current vehicle.
The invention provides an automatic adjustment method of vehicle-mounted personalization of a user based on feature recognition, and further, the shared server receives feature information from the user and personalization parameters corresponding to vehicle models, can call an internal algorithm to calculate the feature information of the user and the personalization parameters corresponding to the vehicle models so as to generate personalization parameters of different vehicle types under the feature information of the user, and specifically comprises the following steps: step S351, the sharing server receives characteristic information from a user and personalized parameter adjustment corresponding to the vehicle model;
step S352, the sharing server calls the user characteristic information used firstly through the data management module to identify and judges whether the identification is successful, if so, the step S353 is executed, if not, the identification failure information is sent to the vehicle-mounted host computer to inform the user of inputting the characteristic information and manually adjusting the personalized parameters, and the process is ended;
and S353, calling a built-in algorithm according to the model of the vehicle and the personalized parameters to automatically calculate personalized adjusting parameters of other vehicle types of the current user.
The invention provides an automatic adjustment method for vehicle-mounted personalization of a user based on feature recognition, and further in step S4, the personalized parameter adjustment of the vehicle equipment comprises the following steps:
position of the various components of the seat: the chair comprises a seat, a backrest, a lumbar support, a shoulder support, a headrest and a leg support;
when the seat is automatically adjusted, the seat is adjusted in sequence: front and back- > high and low- > backrest angle- > lumbar support- > shoulder support- > headrest- > leg rest;
or multiple motors simultaneously adjust multiple positions.
The invention provides an automatic adjustment method for vehicle-mounted personalization of a user based on feature recognition, and further in step S4, the personalized parameter adjustment of the vehicle equipment comprises the following steps: adjusting a rearview mirror, wherein the rearview mirror comprises an electric spherical cardan shaft, a position sensor is embedded in the surface of the cardan shaft, and the position of the rearview mirror X, Y, Z is adjusted by adjusting the position of the cardan shaft;
the rear view mirror comprises an inner rear view mirror and an outer rear view mirror;
the position sensor can detect the change of the X, Y, Z coordinate of the cardan shaft, and when the rearview mirror is adjusted, the position coordinate of the position sensor on the cardan shaft changes;
adjusting the rearview mirrors: the interior rearview mirror- > left side exterior rearview mirror- > right side exterior rearview mirror is adjusted according to the sequence of X- > Y- > Z.
The invention provides a user vehicle-mounted personalized automatic adjusting method based on feature recognition, and further, the parameters of an exterior rearview mirror comprise a reversing mode and a driving mode, and the parameters of the reversing mode are different from the parameters of the driving mode;
in the mode of backing a car, the visual angle display scope of left side rear-view mirror includes: using the horizon as a reference, when the upper position and the lower position are processed, the horizon at the far position is arranged at the center, and the left position and the right position are adjusted to 1/4 of the mirror surface occupied by the vehicle body; the visual angle display range of the right side rearview mirror comprises: the horizontal line is placed at 2/3 of the rearview mirror, and then the edge of the vehicle body is adjusted to 1/4 occupying the mirror image;
under the condition of the driving mode, the left side rear-view mirror is adjusted, the horizon is taken as a reference, the visual angle display range of the left side rear-view mirror comprises 1/3 of the rear-view mirror occupied by the vehicle body and 2/3 of the road surface; the visual angle display range of the right side rearview mirror comprises 1/3 of the vehicle body occupying the rearview mirror and 2/3 of the road surface;
the distinction between the reverse mode and the drive mode is made by whether the reverse gear is engaged.
The invention also provides an automatic adjusting device of the vehicle-mounted personalization of the user based on the feature recognition, which comprises the automatic adjusting method of the vehicle-mounted personalization of the user based on the feature recognition;
the automatic adjusting device comprises: the system comprises a vehicle-mounted host, a feature recognition device and an adjusting device, wherein the vehicle-mounted host is respectively connected with the feature recognition device and the adjusting device;
an adjustment device configured to adjust the seat, the rearview mirror or the multimedia according to the personalized parameters of the user;
the on-vehicle host computer includes at least: the distance calculation module and the vehicle-mounted storage module are connected with each other;
a distance calculation module configured to calculate a distance between the user and the vehicle;
the vehicle-mounted storage module is configured to be used for storing adjustment parameters of a user seat, a rearview mirror and multimedia;
the characteristic identification device collects the characteristic information of the user for identification and then sends the characteristic information to the vehicle-mounted host computer, and the vehicle-mounted host computer extracts the corresponding personalized parameters under the characteristic information of the user and then sends the personalized parameters to the adjusting device for adjustment;
the characteristic identification module comprises one or more of a face identification module, a fingerprint identification module, an iris identification module and a voiceprint identification module;
the characteristic identification device is arranged on a remote control key or a B column outside the automobile or in front of a driver in the automobile;
the feature recognition device also comprises a recognition judgment module, a feature recognition data storage module,
the identification judging module is configured to call a characteristic identification algorithm to identify and judge the identity of the user according to the characteristic information of the user acquired by the characteristic identification module and the user information stored in the characteristic identification data module;
a feature identification data storage module configured to store collected user feature data, such as face data, fingerprint data, iris data, and voiceprint data;
the vehicle-mounted host further comprises a data acquisition module and an account management module, wherein the account management module is configured to be used for managing user IDs (identity) including newly-built IDs, deleted IDs, bound IDs and feature information, or removing bound IDs and feature information;
the data acquisition module is configured to acquire parameters corresponding to the user ID from the vehicle-mounted storage module according to the user ID or acquire the adjustment parameters and multimedia parameters of the seat and the rearview mirror of the current user from the adjustment device and store the parameters in the vehicle-mounted storage module;
the adjusting device comprises: the system comprises an MCU, a seat adjusting module, a rearview mirror adjusting module and a multimedia adjusting module;
the MCU is configured to control each functional module or analyze and process the system process according to the personalized parameters;
a seat adjustment module configured to adjust the seat according to the personalization parameter;
a rearview mirror adjustment module configured to adjust the seat according to the personalization parameter;
the multimedia adjusting module is configured to adjust the vehicle-mounted multimedia according to the personalized parameters;
the rear view mirror comprises an outer rear view mirror and/or an inner rear view mirror;
the automatic adjusting device further comprises: the T-box is connected with the vehicle-mounted host through a vehicle-mounted Ethernet network, and the sharing server is connected with the T-box in a wireless mode so as to realize communication with the vehicle-mounted host;
the sharing server is configured to receive characteristic information, personalized adjusting parameter information and a current vehicle model from a vehicle acquisition user, and then, the characteristic information, the personalized adjusting parameter information and the current vehicle model are processed by calling a preset processing program to generate personalized adjusting parameters of the user under different vehicle types; or according to the requirement, sending the personalized parameter adjustment information of the user to the vehicle to be driven by the user;
the sharing server includes: the system comprises a data management module, a feature training module and a data storage module, wherein the data storage module is configured to store personalized parameters of a user, the data storage module comprises a database, and the database comprises user feature information and personalized parameters;
the data management module is configured to call a built-in algorithm to the collected user characteristic identification data and the personalized parameter data for analysis and processing and store the data in the data storage module;
the characteristic training module is configured to call a preset algorithm to generate personalized parameter data of other vehicle types corresponding to the user according to the personalized parameter data corresponding to the vehicle type provided by the user for different vehicle types.
Has the advantages that:
1. according to the technical scheme provided by the invention, the characteristic identification technology is combined, so that the characteristic identification can be started for the user when the user gradually approaches the vehicle, the seat adjustment is carried out, and the user is prevented from adjusting after entering the vehicle. On the one hand, the rocking of the user for adjusting the seat in the vehicle is avoided, and the user is not well experienced, and on the other hand, the time can be saved. The user enters the vehicle with the seat and rear view mirror adjusted so that the user can drive the vehicle immediately.
2. The sharing server provided by the invention enables a user to input information once and manually adjust information such as seats, rearview mirrors, multimedia and the like once. The sharing server can generate parameters of different vehicle types according to the information provided by the user, so that when the user drives other vehicles, the user does not need to input information again and manually adjust personalized parameters, and the personalized parameters are automatically sent to the vehicle-mounted host computer through the sharing server to automatically perform personalized adjustment on facilities in the vehicle.
Drawings
The following drawings are only schematic illustrations and explanations of the present invention, and do not limit the scope of the present invention.
Fig. 1 is a schematic structural diagram of an automatic adjustment device for vehicle-mounted personalization of a user based on feature recognition according to an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of a shared server according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of an automatic adjustment method for vehicle-mounted personalization of a user based on feature recognition according to an embodiment of the present invention.
FIG. 4 is a schematic flow chart illustrating a process of entering feature information by a user according to an embodiment of the present invention
Fig. 5 is a flowchart of obtaining vehicle personalization adjustment parameters according to user profile information according to an embodiment of the present invention.
Fig. 6 is a flowchart illustrating the generation of the personalization parameters for the user to use different vehicle types by the sharing server according to an embodiment of the present invention.
Fig. 7 is a schematic diagram of a data storage module according to an embodiment of the present invention, which includes user characteristic information and a personalized parameter database.
FIG. 8 is a schematic view of a seat adjustment in an embodiment of the present invention.
Fig. 9 is a schematic diagram of a coordinate position structure of the rearview mirror according to an embodiment of the invention.
Detailed Description
For a more clear understanding of the technical features, objects, and effects herein, embodiments of the present invention will now be described with reference to the accompanying drawings, in which like reference numerals refer to like parts throughout. For the sake of simplicity, the drawings are schematic representations of relevant parts of the invention and are not intended to represent actual structures as products. In addition, for simplicity and clarity of understanding, only one of the components having the same structure or function is schematically illustrated or labeled in some of the drawings.
As for the control system, the functional module, application program (APP), is well known to those skilled in the art, and may take any suitable form, either hardware or software, and may be a plurality of functional modules arranged discretely, or a plurality of functional units integrated into one piece of hardware. In its simplest form, the control system may be a controller, such as a combinational logic controller, a micro-programmed controller, or the like, so long as the operations described herein are enabled. Of course, the control system may also be integrated as a different module into one physical device without departing from the basic principle and scope of the invention.
The term "connected" in the present invention may include direct connection, indirect connection, communication connection, and electrical connection, unless otherwise specified.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, values, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, values, steps, operations, elements, components, and/or groups thereof. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items
It should be understood that the term "vehicle" or "vehicular" or other similar terms as used herein generally includes motor vehicles such as passenger automobiles including Sport Utility Vehicles (SUVs), buses, trucks, various commercial vehicles, watercraft including a variety of boats, ships, aircraft, and the like, and includes hybrid vehicles, electric vehicles, plug-in hybrid electric vehicles, hydrogen-powered vehicles, and other alternative fuel vehicles (e.g., fuels derived from non-petroleum sources). As referred to herein, a hybrid vehicle is a vehicle having two or more power sources, such as both gasoline-powered and electric-powered vehicles.
Further, the controller of the present disclosure may be embodied as a non-transitory computer readable medium on a computer readable medium containing executable program instructions executed by a processor, controller, or the like. Examples of computer readable media include, but are not limited to, ROM, RAM, Compact Disc (CD) -ROM, magnetic tape, floppy disk, flash drive, smart card, and optical data storage device. The computer readable recording medium CAN also be distributed over network coupled computer systems so that the computer readable medium is stored and executed in a distributed fashion, such as by a telematics server or Controller Area Network (CAN).
Example 1:
this implementation provides an automatic adjustment device for vehicle-mounted personalization of a user based on feature recognition, specifically referring to fig. 1, where fig. 1 is a schematic structural diagram of the automatic adjustment device for vehicle-mounted personalization of a user based on feature recognition in this embodiment, and specifically includes: the system comprises a vehicle-mounted host, a feature recognition device and an adjusting device, wherein the vehicle-mounted host is respectively connected with the feature recognition device and the adjusting device;
the feature recognition device at least comprises a feature recognition module, a recognition judgment module and a feature recognition data storage module,
the characteristic identification module comprises one or more of a face identification module, a fingerprint identification module, an iris identification module and a voiceprint identification module;
specifically, the feature recognition device is mounted on the key fob, but may also be mounted on the B-pillar in the vehicle or at other locations in the vehicle, such as in front of the driver.
Specifically, the face recognition module extracts face features from a collected face picture, and may include an image collector, specifically including a camera; the fingerprint identification module comprises a sensor capable of collecting fingerprints, the iris identification module comprises an image collector capable of collecting irises, and the voiceprint identification module comprises a sensor capable of collecting voice, which can be a microphone;
the identification judging module is configured to call a characteristic identification algorithm to identify and judge the identity of the user according to the characteristic information of the user acquired by the characteristic identification module and the user information stored in the characteristic identification data module;
specifically, when a user needs to use the vehicle, a face image of the user is acquired through a face recognition module in a feature recognition module, then a recognition judgment module is used for calling a built-in algorithm to extract the face features and compare and analyze the face features stored in a feature recognition data storage module, whether the face features correspond to the face features stored in feature data or not is judged, if yes, the user Identity (ID) is recognized, if not, a user ID is newly established, the extracted new features are stored in the user ID and are sent to a feature recognition data storage module.
A feature identification data storage module configured to store collected user feature data, such as face data, fingerprint data, iris data, and voiceprint data;
specifically, it may establish a feature data corresponding to the user ID according to the feature of each user.
The on-vehicle host computer includes at least: the system comprises a distance calculation module, an account management module, a vehicle-mounted storage module and a data acquisition module;
a distance calculation module configured to calculate a distance between the user and the vehicle;
the account management module is configured to manage the user ID, including creating the ID, deleting the ID, binding the ID and the feature information, or releasing the bound ID and the feature information;
the vehicle-mounted storage module is configured to be used for storing user seats, rearview mirrors and multimedia adjusting parameters;
specifically, in general, a home car or a shared car has a plurality of people driving, a user ID is established for each different person, and the seat adjustment parameters and the rearview mirror adjustment parameters of the user under the ID are recorded. The individualized parameter storage module thus stores the seat adjustment parameters and rearview mirror parameters corresponding to these different IDs.
And the data acquisition module is configured to acquire parameters corresponding to the user ID from the vehicle-mounted storage module according to the user ID or acquire the adjustment parameters and the multimedia parameters of the seat and the rearview mirror of the current user from the adjustment device and store the parameters in the vehicle-mounted storage module.
The adjusting device is configured to adjust the seat, the rearview mirror and the multimedia according to the personalized parameters of the user;
the adjusting device comprises: MCU, seat adjusting module, rearview mirror adjusting module, multimedia adjusting module,
the MCU is configured to control each functional module or analyze and process the system process according to the personalized parameters;
a seat adjustment module configured to adjust the seat according to the personalization parameters;
specifically, when the user identity is identified, according to the personalized parameters of the original user seat,
such as: the seat is adjusted according to personalized parameters corresponding to the user ID, wherein the parameters of the seat front and back, the height of a cushion, the angle of a backrest, a lumbar support, a shoulder support, a headrest, a leg support and the like are different for each user.
A rearview mirror adjustment module configured to adjust a rearview mirror according to the individualized parameters;
specifically, the seat adjustment sequence: front and back- > high and low- > backrest angle- > lumbar support- > shoulder support- > headrest- > leg rest. If the multi-motor simultaneous adjustment is supported, a plurality of positions can be adjusted simultaneously.
Specifically, the rearview mirror adjustment sequence: the interior rearview mirror- > left side exterior rearview mirror- > right side exterior rearview mirror is adjusted according to the sequence of X- > Y- > Z.
Specifically, if the user identity is identified, the viewing angles of the left and right rearview mirrors of the vehicle are adjusted through the rearview mirror adjusting module according to the personalized parameters of the rearview mirror of the original user.
In particular, the adjustment of the rear view mirror is divided into two types of parameters, one being the mirror parameter in driving conditions and the other being the mirror parameter during reversing.
Specifically, in the reverse mode, the viewing angle display range of the left side mirror includes: using the horizon as a reference, when the upper position and the lower position are processed, the horizon at the far position is arranged at the center, and the left position and the right position are adjusted to 1/4 of the mirror surface occupied by the vehicle body; the visual angle display range of the right side rearview mirror comprises: the horizontal line is placed at 2/3 of the rearview mirror, and then the edge of the vehicle body is adjusted to 1/4 occupying the mirror image;
under the condition of the driving mode, the left side rear-view mirror is adjusted, the horizon is taken as a reference, the visual angle display range of the left side rear-view mirror comprises 1/3 of the rear-view mirror occupied by the vehicle body and 2/3 of the road surface; the visual angle display range of the right side rearview mirror comprises 1/3 of the vehicle body occupying the rearview mirror and 2/3 of the road surface;
the distinction between the reverse mode and the drive mode is made by whether the reverse gear is engaged.
The implementation provides an individualized automatic adjusting device for a seat and a rearview mirror based on characteristic identification and judgment of user identity, and the individualized automatic adjusting device further comprises a T-box intelligent antenna and a sharing server, wherein the T-box is connected with a vehicle-mounted host through a vehicle-mounted Ethernet network, and the sharing server is connected with the T-box in a wireless mode, so that communication with the vehicle-mounted host is realized.
And the sharing server is configured to be used for receiving the characteristic information and the personalized adjusting parameter information from the vehicle collecting user or sending the personalized adjusting parameter information of the user to the vehicle to be driven.
The sharing server includes: the system comprises a data management module, a feature training module and a data storage module, wherein the data storage module is configured to store personalized parameters of a user;
referring to fig. 2, fig. 2 is a schematic structural diagram of a shared server.
The data management module is configured to call a built-in algorithm for analysis and processing of the data;
specifically, for example, after receiving the user feature identification data and the personalization parameter data collected from the in-vehicle host, the sharing server calls a function to process the data through the data management module and stores the processed data into the data storage module. When a user drives another automobile, if the automobile does not have the personalized adjusting data, the vehicle-mounted host sends the user characteristic information extracted by the characteristic identification device and the automobile model to the sharing server, the sharing server receives the user characteristic information and calls an identification algorithm through the data management module to identify, and if the user identity is identified, the personalized parameter in the user storage module in the data storage module is sent to the vehicle-mounted host to adjust the personalized parameter of the automobile.
The characteristic training module is configured to call a preset algorithm to generate personalized parameter data of other vehicle types corresponding to the user according to the personalized parameter data corresponding to the vehicle type provided by the user for different vehicle types.
Example 2:
the present implementation provides an automatic adjustment method for vehicle-mounted personalization of a user based on feature recognition, which is shown in fig. 3, and specifically includes:
step S1, collecting user characteristic information through a recognition device and obtaining the personalized parameters of the current vehicle;
step S2, calculating the distance between the intelligent key carried by the user and the vehicle, and judging whether to start the device identification according to the calculated distance; if the calculated distance is within the start threshold range, executing step S3, and if the calculated distance is outside the start threshold range, ending the process;
step S3, starting feature information identification and obtaining the ID of the user;
and step S4, obtaining the personalized adjusting parameters of the ID corresponding to the vehicle model according to the user ID and performing personalized adjustment on the equipment of the vehicle.
Referring to fig. 4, fig. 4 is a schematic flow chart of entering feature information by a user.
The specific content of step S1 includes:
step S11, create a user account ID,
specifically, when the user drives for the first time, if no user information exists in the feature identification data module, the feature information of the user needs to be input, and when the recording starts, the system can automatically generate a user ID for the user.
Step S12, newly creating characteristic information of the user collected by the identification device module, wherein the characteristic information comprises face information, fingerprint information, iris information and voiceprint information;
the fingerprint information can collect a plurality of fingers, the iris collects the left eye and the right eye, and the user can follow and read the preset standardized sentences during the voiceprint information collection;
and step S13, judging whether the user characteristic information collected by the characteristic identification device succeeds, if so, executing step S14, and if not, returning to step S12 to continue collecting.
Step S14, binding the characteristic information of the user with the account ID;
step S15, the user manually adjusts the personalized parameters of the vehicle, wherein the personalized parameters comprise seat parameters, left and right rearview mirror parameters and multimedia parameters;
and step S16, sending the personalized parameters, the vehicle model, the characteristic information and the account ID under the user ID to a sharing server, and after receiving the personalized parameters, the sharing server generates the personalized parameters corresponding to different vehicle types corresponding to the characteristic information of the user by calling a built-in algorithm.
Figure 5 is a flow chart for obtaining vehicle personalization facility tuning parameters based on user profile information,
specifically, referring to fig. 5, the details of step S13 include:
step S31, the characteristic identification module collects the characteristic information of the current user and identifies the characteristic information, if the identification is successful, the step S32 is executed, if the identification is unsuccessful, the step S34 is executed;
step S32, obtaining ID corresponding to the user characteristic information
Step S33, judging whether the current vehicle has the personalized adjusting parameter corresponding to the user ID, if yes, ending the process; if not, go to step S34;
step S34, sending the characteristic information of the user and the current vehicle type to a sharing server;
step S35, the sharing server calls an internal algorithm to identify the characteristic information of the user and judges whether the identification is successful, if the identification is successful, the ID of the user is obtained, and the step S36 is executed; if the identification fails, sending information without the user ID to the current vehicle;
specifically, if the sharing server does not have the ID of the user, it indicates that the user needs to re-log the feature information and perform the personalized parameter adjustment of the vehicle, and then sends the data to the sharing server.
Step S36, sending the user ID, the characteristic information and the personalized parameters corresponding to the type of the vehicle to be driven by the current user to the current vehicle;
the sharing server calls an internal algorithm to target at different vehicle types after receiving characteristic information input by a user for the first time and personalized parameter adjustment in a vehicle corresponding to the input characteristic information, generates personalized parameter adjustment data corresponding to other vehicle types to the user according to personalized parameter adjustment data corresponding to one vehicle type provided by the user, and therefore the user only needs to find any one vehicle type and can input the characteristic information once without inputting the data when driving different vehicle types. The implementation adopts the model of the shared server, and the personalized parameter adjustment corresponding to other vehicle types of the user can be calculated according to one vehicle type. When different vehicle types need to be driven, only a request needs to be sent to the sharing server, and the sharing server can automatically send vehicle type data to a vehicle to be used by a user for personalized parameter adjustment.
Specifically, fig. 6 is a flowchart of the sharing server generating personalized parameters for users to use different vehicle types, see fig. 6;
the specific steps of step S35 include:
step S351, the sharing server receives characteristic information from a user and personalized parameter adjustment corresponding to the vehicle model;
step S352, the sharing server calls the user characteristic information used firstly through the data management module to identify and judges whether the identification is successful, if so, the step S353 is executed, if not, the identification failure information is sent to the vehicle-mounted host computer to inform the user of inputting the characteristic information and manually adjusting the personalized parameters, and the process is ended;
and S353, calling a built-in algorithm according to the model of the vehicle and the personalized parameters to automatically calculate personalized adjusting parameters of other vehicle types of the current user.
According to the parameter adjustment of different vehicle types, when the vehicle type is determined, the type of a seat, the geometric space in the vehicle, the size of the rear view outside the vehicle and the installation position are determined, and according to data of other vehicle types provided by a user, in order to facilitate narration, the corresponding personalized parameter of the known user under the vehicle type is a standardized personalized parameter, and the personalized parameter of the unknown vehicle type is an unknown personalized parameter. The standardized personalized parameters are derived from personalized parameters manually adjusted by a user, and comprise seat adjusting parameters, left and right rearview mirror parameters and multimedia parameters.
Specifically, the method for generating the parameters corresponding to different vehicle types includes: and comparing the geometric data of the vehicle type to be driven by the user with the geometric data corresponding to the standardized personalized parameters, and calculating the personalized parameters of the vehicle type data to be driven by the user according to the difference of the geometric data of the two vehicle types.
Specifically, in the shared server, the data storage module mainly stores user data, specifically referring to fig. 7, fig. 7 is a schematic diagram of a database containing user characteristic information and personalized parameters in the data storage module. The data storage module comprises a user ID number, a name, data, chair parameters, left and right rearview mirror parameters, multimedia parameters and a vehicle type;
here, only by way of example, if there are 4 users, each user has only one ID number, and the example numbers are: ABC121 to ABC124 correspond to one user, and actually, the number is multiple, and if the number exceeds the number, the number of digits can be increased. The name comprises face characteristics, fingerprint identification, voiceprint characteristics and iris characteristics, the data column stores characteristic information of characteristic users, the chair parameter column stores information of height, front and back, backrest, headrest and the like of a seat, the left and right rearview mirror parameters store X, Y, Z coordinates of the left and right rearview mirrors, multimedia parameter records are set by habits of the users, movies and songs are loved, the vehicle model column mainly comprises parameters of the users in the vehicle models, the vehicle models are different, personalized adjusting parameters are different, and the method is only an example, so specific parameters are not expressed, and are replaced by 'x'.
In step S4, the personalized parameter adjustment of the vehicle device specifically includes:
position of the various components of the seat: seat front and back, seat height, backrest angle, lumbar support, shoulder support, headrest, leg rest, and specifically referring to fig. 8, fig. 8 is a schematic diagram of seat adjustment in the present embodiment, and through the adjustment buttons in the present embodiment, the user can adjust the seat by using the buttons for the first time, and fig. 8 is only an example and does not represent a seat adjustment structure of a real automobile.
Specifically, each position is defined in percentage form of 0 to 100.
A headrest: only the height is adjusted, the lowest is 0, and the highest is 100;
shoulder supporting: only front and back adjustment is carried out, the last is 0, and the first is 100;
backrest angle: the angle is adjusted, the vertical direction is 0, and the horizontal position is 100;
and (3) lumbar support: the method comprises height adjustment and front-back adjustment. A minimum of 0 and a maximum of 100; last 0, first 100;
height of the cushion: the height adjustment of the front part of the cushion and the height adjustment of the rear part of the cushion are divided. A minimum of 0 and a maximum of 100;
front and back of the seat: last 0, first 100;
a leg support: the vertical direction is 0, and the horizontal direction is 100;
when a user inputs information for the first time, various conditions can be carried out according to own favor after getting on the vehicle, the vehicle-mounted host can store the position, and when the user requests to bind, the position information and the user account ID can be bound.
When the seat is automatically adjusted, the sequence is as follows:
the seat adjusting sequence is as follows: front and back- > high and low- > backrest angle- > lumbar support- > shoulder support- > headrest- > leg rest. If the multi-motor simultaneous adjustment is supported, a plurality of positions can be adjusted simultaneously.
The adjustment of the rear view mirror is performed by adjusting X, Y, Z coordinates, specifically referring to fig. 9, and fig. 9 is a schematic diagram of the coordinate position structure of the rear view mirror.
The inside rear-view mirror and the outside rear-view mirror both use an electric ball type universal shaft, and a position sensor (P0 in fig. 9) is embedded in the surface of the universal shaft. The sensor can report X, Y, Z coordinates relative to center O. The mirror surface of the rear-view mirror is parallel to the line connecting P0 and center O. Therefore, when the user adjusts the position of the inside rear view mirror, the coordinates of P0 are updated accordingly and sent to the MCU and then to the vehicle-mounted host.
Adjusting the rearview mirrors: the interior rearview mirror- > left side exterior rearview mirror- > right side exterior rearview mirror is adjusted according to the sequence of X- > Y- > Z.
For the adjustment of the rearview mirror, the adjustment is divided into a reverse mode and a driving mode in the embodiment, the parameters of the reverse mode are different from those of the driving mode,
specifically, in the reverse mode, the viewing angle display range of the left side mirror includes: using the horizon as a reference, when the upper position and the lower position are processed, the horizon at the far position is arranged at the center, and the left position and the right position are adjusted to 1/4 of the mirror surface occupied by the vehicle body; the visual angle display range of the right side rearview mirror comprises: the horizontal line is placed at 2/3 of the rearview mirror, and then the edge of the vehicle body is adjusted to 1/4 occupying the mirror image;
under the condition of the driving mode, the left side rear-view mirror is adjusted, the horizon is taken as a reference, the visual angle display range of the left side rear-view mirror comprises 1/3 of the rear-view mirror occupied by the vehicle body and 2/3 of the road surface; the visual angle display range of the right side rearview mirror comprises 1/3 of the vehicle body occupying the rearview mirror and 2/3 of the road surface;
the distinction between the reverse mode and the drive mode is made by whether the reverse gear is engaged.
What has been described above is only a preferred embodiment of the present invention, and the present invention is not limited to the above examples. It is clear to those skilled in the art that the form in this embodiment is not limited thereto, and the adjustable manner is not limited thereto. It is to be understood that other modifications and variations, which may be directly derived or suggested to one skilled in the art without departing from the basic concept of the invention, are to be considered as included within the scope of the invention.
Claims (11)
1. An automatic adjustment method for vehicle-mounted personalization of a user based on feature recognition is characterized by comprising the following steps: step S1, collecting user characteristic information through a recognition device and obtaining the personalized parameters of the current vehicle;
step S2, calculating the distance between the intelligent key carried by the user and the vehicle, judging whether the starting device is identified according to the calculated distance, if the calculated distance is within the starting threshold range, executing step S3, and if the calculated distance is outside the starting threshold range, ending the process;
step S3, starting feature information identification and obtaining the ID of the user;
step S4, obtaining the personalized parameters of the ID corresponding to the vehicle model according to the user ID and performing personalized adjustment on the equipment of the vehicle;
the characteristic information comprises one or more of face information, fingerprint information, voiceprint information and iris information of the user;
the personalized parameters come from a vehicle about to be driven by the user or come from a sharing server connected with the vehicle about to be driven by the user.
2. The method for automatically adjusting the vehicle-mounted personalization of the user based on the feature recognition is characterized in that the personalized adjustment comprises automatically adjusting the position of a vehicle rearview mirror, the position of a vehicle seat and the application personalization parameters of multimedia playing contents;
the recognition device is installed on the intelligent key or the front position of a driver in the vehicle or the B column outside the vehicle.
3. The method according to claim 1, wherein the step S1 specifically includes: a user inputs information through the identification device module, manually adjusts the equipment position of the current vehicle after the information is successfully input, and sends the position of the current vehicle equipment to the vehicle-mounted host;
the vehicle equipment comprises one or more of a rearview mirror, a seat and multimedia.
4. The method for automatically adjusting the vehicle-mounted personalization of the user based on the feature recognition of claim 3, wherein the user entering information through the recognition device module specifically comprises:
step S11, creating a user account ID;
step S12, newly creating a recognition device module to collect the characteristic information of the user;
step S13, judging whether the user characteristic information collected by the characteristic recognition device is successful, if so, executing step S14, if not, returning to step S12 to continue collecting the characteristic information;
step S14, the user' S characteristic information is bound with the account ID.
5. The method of claim 3, wherein the step of manually adjusting the device location of the current vehicle and sending the device location of the current vehicle to the on-board host comprises:
step S15, the user manually adjusts the personalized parameters of the vehicle, wherein the personalized parameters comprise seat parameters, left and right rearview mirror parameters or multimedia parameters;
and step S16, sending the personalized parameters, the characteristic information, the account ID and the vehicle model under the user ID to a sharing server, and after receiving the personalized parameters, the sharing server generates the personalized parameters corresponding to different vehicle types corresponding to the characteristic information of the user by calling a built-in algorithm.
6. The method according to claim 1, wherein the step S3 specifically includes:
step S31, the characteristic identification module collects the characteristic information of the current user and identifies the characteristic information, if the identification is successful, the step S32 is executed, if the identification is unsuccessful, the step S34 is executed;
step S32, obtaining ID corresponding to the user characteristic information;
step S33, judging whether the current vehicle has the personalized adjusting parameter corresponding to the user ID, if yes, ending the process; if not, go to step S34;
step S34, sending the characteristic information of the user and the current vehicle type to a sharing server;
step S35, the sharing server calls an internal algorithm to identify the characteristic information of the user and judges whether the identification is successful, if the identification is successful, the ID of the user is obtained, and the step S36 is executed; if the identification fails, sending information without the user ID to the current vehicle;
and step S36, sending the user ID, the characteristic information and the personalized parameters corresponding to the model of the vehicle to be driven by the current user to the current vehicle.
7. The method according to claim 1, wherein the shared server receives the feature information from the user and the personalized parameters corresponding to the vehicle model, and can invoke an internal algorithm to calculate the feature information of the user and the personalized parameters corresponding to the vehicle model to generate personalized parameters of different vehicle types under the feature information of the user, and the method specifically comprises: step S351, the sharing server receives characteristic information from a user and personalized parameter adjustment corresponding to the vehicle model;
step S352, the sharing server calls the existing user characteristic information to identify the user characteristic information through the data management module and judges whether the identification is successful, if the identification is successful, step S353 is executed, if the identification is failed, the identification failure information is sent to the vehicle-mounted host computer to inform the user to input the characteristic information and manually adjust the personalized parameters, and the process is ended;
and S353, calling a built-in algorithm according to the model of the vehicle and the personalized parameters to automatically calculate personalized adjusting parameters of other vehicle types of the current user.
8. The method of claim 1, wherein in step S4, the adjusting of the personalization parameters of the vehicle device comprises: position of the various components of the seat: the chair comprises a seat, a backrest, a lumbar support, a shoulder support, a headrest and a leg support;
when the seat is automatically adjusted, the seat is adjusted in sequence: front and back- > high and low- > backrest angle- > lumbar support- > shoulder support- > headrest- > leg rest;
or multiple motors simultaneously adjust multiple positions.
9. The method of claim 1, wherein in step S4, the adjusting of the personalization parameters of the vehicle device comprises: adjusting a rearview mirror, wherein the rearview mirror comprises an electric spherical cardan shaft, a position sensor is embedded in the surface of the cardan shaft, and the position of the rearview mirror X, Y, Z is adjusted by adjusting the position of the cardan shaft;
the rear view mirror comprises an inner rear view mirror and an outer rear view mirror;
the position sensor can detect the change of the X, Y, Z coordinate of the cardan shaft, and when the rearview mirror is adjusted, the position coordinate of the position sensor on the cardan shaft changes;
adjusting the rearview mirrors: the interior rearview mirror- > left side exterior rearview mirror- > right side exterior rearview mirror is adjusted according to the sequence of X- > Y- > Z.
10. The method for automatically adjusting the vehicle-mounted individuality of the user based on the feature recognition of claim 9, wherein the parameters of the exterior mirror include a reverse mode and a driving mode, and the parameters of the reverse mode are different from the parameters of the driving mode;
in the mode of backing a car, the visual angle display scope of left side rear-view mirror includes: using the horizon as a reference, when the upper position and the lower position are processed, the horizon at the far position is arranged at the center, and the left position and the right position are adjusted to 1/4 of the mirror surface occupied by the vehicle body; the visual angle display range of the right side rearview mirror comprises: the horizontal line is placed at 2/3 of the rearview mirror, and then the edge of the vehicle body is adjusted to 1/4 occupying the mirror image;
under the condition of the driving mode, the left side rear-view mirror is adjusted, the horizon is taken as a reference, the visual angle display range of the left side rear-view mirror comprises 1/3 of the rear-view mirror occupied by the vehicle body and 2/3 of the road surface; the visual angle display range of the right side rearview mirror comprises 1/3 of the vehicle body occupying the rearview mirror and 2/3 of the road surface;
the distinction between the reverse mode and the drive mode is made by whether the reverse gear is engaged.
11. An automatic adjustment device for vehicle-mounted personalization of a user based on feature recognition, characterized by comprising an automatic adjustment method for vehicle-mounted personalization of a user based on feature recognition according to any one of claims 1 to 10;
the automatic adjusting device comprises: the system comprises a vehicle-mounted host, a feature recognition device and an adjusting device, wherein the vehicle-mounted host is respectively connected with the feature recognition device and the adjusting device;
an adjustment device configured to adjust the seat, the rearview mirror or the multimedia according to the personalized parameters of the user;
the on-vehicle host computer includes at least: the distance calculation module and the vehicle-mounted storage module are connected with each other;
a distance calculation module configured to calculate a distance between the user and the vehicle;
the vehicle-mounted storage module is configured to be used for storing adjustment parameters of a user seat, a rearview mirror and multimedia;
the characteristic identification device collects the characteristic information of the user for identification and then sends the characteristic information to the vehicle-mounted host computer, and the vehicle-mounted host computer extracts the corresponding personalized parameters under the characteristic information of the user and then sends the personalized parameters to the adjusting device for adjustment;
the characteristic identification module comprises one or more of a face identification module, a fingerprint identification module, an iris identification module and a voiceprint identification module;
the characteristic identification device is arranged on a remote control key or a B column outside the automobile or in front of a driver in the automobile;
the feature recognition device also comprises a recognition judgment module, a feature recognition data storage module,
the identification judging module is configured to call a characteristic identification algorithm to identify and judge the identity of the user according to the characteristic information of the user acquired by the characteristic identification module and the user information stored in the characteristic identification data module;
a feature identification data storage module configured to store collected user feature data, such as face data, fingerprint data, iris data, and voiceprint data;
the vehicle-mounted host further comprises a data acquisition module and an account management module, wherein the account management module is configured to be used for managing user IDs (identity) including newly-built IDs, deleted IDs, bound IDs and feature information, or removing bound IDs and feature information;
the data acquisition module is configured to acquire parameters corresponding to the user ID from the vehicle-mounted storage module according to the user ID or acquire the adjustment parameters and multimedia parameters of the seat and the rearview mirror of the current user from the adjustment device and store the parameters in the vehicle-mounted storage module;
the adjusting device comprises: the system comprises an MCU, a seat adjusting module, a rearview mirror adjusting module and a multimedia adjusting module;
the MCU is configured to control each functional module or analyze and process the system process according to the personalized parameters;
a seat adjustment module configured to adjust the seat according to the personalization parameter;
a rearview mirror adjustment module configured to adjust the seat according to the personalization parameter;
the multimedia adjusting module is configured to adjust the vehicle-mounted multimedia according to the personalized parameters;
the rear view mirror comprises an outer rear view mirror and/or an inner rear view mirror;
the automatic adjusting device further comprises: the T-box is connected with the vehicle-mounted host through a vehicle-mounted Ethernet network, and the sharing server is connected with the T-box in a wireless mode so as to realize communication with the vehicle-mounted host;
the sharing server is configured to receive characteristic information, personalized adjusting parameter information and a current vehicle model from a vehicle acquisition user, and then, the characteristic information, the personalized adjusting parameter information and the current vehicle model are processed by calling a preset processing program to generate personalized adjusting parameters of the user under different vehicle types; or according to the requirement, sending the personalized parameter adjustment information of the user to the vehicle to be driven by the user;
the sharing server includes: the system comprises a data management module, a feature training module and a data storage module, wherein the data storage module is configured to store personalized parameters of a user, the data storage module comprises a database, and the database comprises user feature information and personalized parameters;
the data management module is configured to call a built-in algorithm to the collected user characteristic identification data and the personalized parameter data for analysis and processing and store the data in the data storage module;
the characteristic training module is configured to call a preset algorithm to generate personalized parameter data of other vehicle types corresponding to the user according to the personalized parameter data corresponding to the vehicle type provided by the user for different vehicle types.
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