CN110588551A - Feature recognition-based automatic adjustment method and automatic adjustment device for user vehicle personalization - Google Patents

Abstract

The present invention provides an automatic adjustment method and an automatic adjustment device based on feature recognition for user vehicle personalization, including: step S1, collecting user feature information through the identification device and obtaining personalized parameters of the current vehicle; step S2, calculating the The distance between the smart key and the vehicle is judged according to the calculated distance whether to start the device identification; step S3, start the feature information identification and obtain the ID of the user; step S4, obtain the personalized parameters of the vehicle model corresponding to the ID according to the user ID, and identify the vehicle Personalized adjustment of the device; the personalized parameters come from the vehicle that the user is about to drive or from the shared server connected to the vehicle that the user is about to drive. The technical solution provided by the invention can automatically adjust the seat and the rearview mirror before the user gets on the car in combination with the feature recognition technology.

Description

Automatic adjustment method and automatic adjustment based on feature recognition for user vehicle personalization device

technical field

The invention relates to the field of automobiles, in particular to a personalized automatic adjustment method and automatic adjustment device for seats, rearview mirrors and multimedia based on feature recognition to determine user identity.

Background technique

With the popularization of automobiles, more and more automobiles have entered thousands of households. With the continuous improvement of people's living consumption level, the number of automobiles has also continued to increase. Everyone has higher and higher requirements for the intelligence of electrical appliances in the car. At present, many families share a car with multiple people, but different drivers have different requirements for the settings of the equipment in the car, such as the height, angle and position of the seat, the angle of the exterior rearview mirror and the interior rearview mirror. Settings, the color of the ambient light of the car lights, the height of the low beam headlights, the on/off of the daytime running lights, etc., the air volume, temperature, internal and external circulation of the air conditioner, etc., the radio station list, navigation collection, address book, screen brightness, and audio of the car multimedia system Other settings are different preferences. For example, among family members, the father is generally taller than the mother. The position of the driver's seat when the father drives is different from that of the mother, and the position of the seat is closely related to the rearview mirror. After viewing the mirror, if the mother is driving instead, it is very troublesome and time-consuming to start adjusting the seat and rearview mirror again. On the other hand, the introduction of shared cars at this stage has made it possible for a car to be used by multiple people, and each person's height, leg length, and height are different, so that every time a shared car is driven, the driver needs to manually adjust it. The position of the seat and rearview mirror, and the adjustment of the height of the seat are troublesome and time-consuming, which brings a poor experience to the driver.

Currently on the market are mainly button-type memory seats and remote-control key-type memory seats, but these types of seats must be manually intervened because of their memory or adjustment operations, and have not realized autonomous memory. For the push-button memory seat, it is necessary to manually press the button to memorize, restore and store the seat position parameters. As for the remote key memory seat, although the seat can be automatically adjusted when the vehicle is opened, the process of manually entering the seat position information into the key for memory storage is very cumbersome, and one key can only remember one person. location information. Whether using key memory or key memory, the memory process or automatic adjustment process requires manual intervention to complete, which will inevitably affect the driver's familiar driving habits, and such a design will result in the number of memorable people being limited by the hardware.

In the prior art, the patent (CN110103865A) is an application system for driver's vehicle-mounted personalized configuration based on face recognition, which recognizes the driver through the face recognition module and stores the positions of the driver's adjusted seat and rearview mirror information. However, this adjustment method requires the driver to perform face recognition after entering the car to confirm the driver's ID, and then the system calls the seat parameters and rearview mirror parameters corresponding to the ID to adjust. Recognition on the seat, the moving process of the seat will bring a bad experience to the driver and it will take a while to adjust, which is a waste of time, the driver needs to wait for a period of time to start the car after sitting in the car , so there are still defects in the prior art, and it is necessary to provide a technical solution to solve the defects.

Contents of the invention

Based on the defects existing in the prior art, the technical problem to be solved by the present invention is to provide an automatic adjustment method and an automatic device that can identify a user's vehicle based on characteristics.

In order to achieve the above object, the present invention provides a method for automatic adjustment of the user's vehicle-mounted personalization based on feature recognition, including:

Step S1, collecting user characteristic information and obtaining personalized parameters of the current vehicle through the identification device;

Step S2, calculate the distance between the smart key carried by the user and the vehicle, and judge whether to activate the device recognition according to the calculated distance, if the calculated distance is within the activation threshold range, then perform step S3, if the calculated distance is outside the activation threshold range, then end the process;

Step S3, start feature information identification and obtain user ID;

Step S4, according to the user ID, obtain the personalized parameters of the vehicle model corresponding to the ID and perform personalized adjustments to the equipment of the vehicle;

The feature information includes one or more of the user's face information, fingerprint information, voiceprint information, and iris information;

The personalized parameters come from the vehicle that the user is about to drive or from a shared server connected to the vehicle that the user is about to drive.

The present invention provides an automatic adjustment method based on feature recognition for user vehicle personalization. Further, the personalized adjustment includes automatic adjustment of the position of the vehicle rearview mirror, the position of the vehicle seat, and the application of personalized parameters for multimedia playback content. adjust;

The identification device is installed on the smart key or at the position in front of the driver in the car or on the B-pillar outside the car.

The present invention provides an automatic adjustment method based on feature recognition for the user's in-vehicle personalization. Further, the step S1 specifically includes: the user enters information through the identification device module, and then manually adjusts the device position of the current vehicle after the information is successfully entered. Send the location of the current vehicle equipment to the vehicle host;

The vehicle equipment includes one or more of rearview mirrors, seats, and multimedia.

The present invention provides an automatic adjustment method based on feature recognition for user vehicle personalization. Further, the user input information through the identification device module specifically includes:

Step S11, creating a user account ID;

Step S12, creating a new collection of user feature information through the identification device module;

Step S13, judging whether the user characteristic information collected by the characteristic recognition device is successful, if the collection is successful, then execute step S14, if the collection fails, return to step S12, and continue to collect characteristic information;

Step S14, binding the user's characteristic information with the account ID.

The present invention provides a feature recognition-based automatic adjustment method for user vehicle personalization. Further, the steps of manually adjusting the current vehicle device position and sending the current vehicle device position to the vehicle host include:

Step S15, the user manually adjusts the personalized parameters of the vehicle, the personalized parameters include seat parameters, left and right rearview mirror parameters or multimedia parameters;

Step S16: Send the personalized parameters, characteristic information, account ID, and vehicle model under the user ID to the shared server. After receiving the personalized parameters, the shared server generates corresponding models corresponding to the user's characteristic information by calling a built-in algorithm. personalization parameters.

The present invention provides an automatic adjustment method based on feature recognition for user vehicle personalization. Further, the step S3 specifically includes:

Step S31, the feature recognition module collects the feature information of the current user and identifies the feature information, if the identification is successful, then execute step S32, if the identification is unsuccessful, then execute step S34;

Step S32, obtaining the ID corresponding to the user characteristic information;

Step S33, judging whether the current vehicle has a personalized adjustment parameter corresponding to the user ID, if yes, then end the process; if not, then execute step S34;

Step S34, sending the user's characteristic information and the current vehicle type to the sharing server;

Step S35, the shared server invokes an internal algorithm to identify the user's feature information and judge whether it is successful, if the identification is successful, then obtain the user's ID, and perform step S36; if the identification fails, then send the information that the user ID does not exist to current vehicle;

Step S36, sending the user ID, feature information, and personalized parameters corresponding to the vehicle model that the current user is about to drive to the current vehicle.

The present invention provides an automatic adjustment method based on feature recognition for user vehicle personalization. Further, the shared server receives feature information from the user and personalized parameters corresponding to the vehicle model, and can call an internal algorithm to identify the user's feature Information, personalized parameters corresponding to the vehicle model are calculated to generate personalized parameters of different vehicle models under the user's characteristic information, specifically including: step S351, the sharing server receives the characteristic information from the user, the personality corresponding to the vehicle model parameter adjustment;

Step S352, the shared server calls the user’s characteristic information through the data management module to identify the previously used user’s characteristic information and judges whether the recognition is successful, if successful, then executes step S353, if it fails, sends the identification failure information to the on-board host to notify The user enters characteristic information and manually adjusts personalized parameters, and ends the process;

In step S353, according to the model of the vehicle and the personalized parameters, the built-in algorithm is invoked to automatically calculate the personalized adjustment parameters of other vehicle models of the current user.

The present invention provides a method for automatic adjustment of user vehicle personalization based on feature recognition. Further, in step S4, the adjustment of personalized parameters of vehicle equipment includes:

The position of each component of the seat: front and rear of the seat, cushion height, backrest angle, lumbar support, shoulder support, headrest, leg rest;

When the seat is automatically adjusted, the seat adjustment sequence: front and rear -> height -> backrest angle -> lumbar support -> shoulder support -> headrest -> leg rest;

Or multiple motors can adjust multiple positions at the same time.

The present invention provides an automatic adjustment method based on feature recognition for user vehicle personalization. Further, in the step S4, the adjustment of the personalized parameters of the vehicle equipment includes: adjustment of the rearview mirror, and the rearview mirror includes an electric spherical Cardan shaft, the surface of the cardan shaft is inlaid with a position sensor, by adjusting the position of the cardan shaft to adjust the X, Y, Z coordinates of the rearview mirror;

The rearview mirror includes an interior rearview mirror and an exterior rearview mirror;

The position sensor can detect the change of its X, Y, Z coordinates of the cardan shaft. When the rearview mirror is adjusted, the position coordinates of the position sensor on the cardan shaft will change;

Rearview mirror adjustment sequence: interior rearview mirror->left exterior rearview mirror->right exterior rearview mirror, adjust in the order of X->Y->Z.

The present invention provides an automatic adjustment method based on feature recognition for the user's in-vehicle customization. Further, the parameters of the exterior rearview mirror include a reversing mode and a driving mode, and the parameters of the reversing mode are different from those of the driving mode;

In the reversing mode, the viewing angle display range of the left rearview mirror includes: taking the horizon as a reference, when processing the up and down positions, the distant horizon is placed in the center, and the left and right positions are adjusted to 1% of the mirror range occupied by the vehicle body. /4; The viewing angle display range of the right rearview mirror includes: placing the horizontal line at 2/3 of the rearview mirror, and then adjusting the edge of the body to occupy 1/4 of the mirror image;

In the driving mode described above, adjust the left rearview mirror with the horizon as the reference. The viewing angle display range of the left rearview mirror includes that the body occupies 1/3 of the rearview mirror and the road occupies 2/3; The viewing angle display range includes that the body occupies 1/3 of the rearview mirror, and the road occupies 2/3;

The distinction between the reverse mode and the driving mode is distinguished by whether the reverse gear is engaged.

The present invention also provides a feature recognition-based automatic adjustment device for the user's vehicle-mounted personalization, including the above-mentioned automatic adjustment method for the user's vehicle-mounted personalization based on feature recognition;

The automatic adjustment device includes: a vehicle-mounted host, a feature recognition device, and an adjustment device, wherein the vehicle-mounted host is connected to the feature recognition device and the adjustment device respectively;

Adjustment devices configured to adjust the seats, mirrors or multimedia according to the user's individual parameters;

The vehicle host includes at least: a distance calculation module and a vehicle storage module;

a distance calculation module configured to calculate the distance between the user and the vehicle;

The on-board storage module is configured to store adjustment parameters of the user's seat, rearview mirror, and multimedia;

The feature recognition device collects the user's feature information for identification and then sends the feature information to the vehicle-mounted host, and the vehicle-mounted host extracts the corresponding personalized parameters under the user's feature information to the adjustment device for adjustment;

The feature recognition module includes one or more of a face recognition module, a fingerprint recognition module, an iris recognition module, and a voiceprint recognition module;

The feature recognition device is installed on the remote control key or on the B-pillar outside the car or in front of the driver in the car;

The feature recognition device also includes a recognition judgment module, a feature recognition data storage module,

The identification and judgment module is configured to call a feature recognition algorithm to identify and judge the identity of the user according to the feature information of the user collected by the feature recognition module and the user information stored in the feature recognition data module;

The feature recognition data storage module is configured to store collected user feature data, such as face data, fingerprint data, iris data, and voiceprint data;

The on-vehicle host also includes a data acquisition module and an account management module. The account management module is configured to manage user IDs, including creating IDs, deleting IDs, binding IDs and feature information, or unbinding IDs and user IDs. characteristic information;

The data acquisition module is configured to obtain the parameters corresponding to the user ID from the vehicle storage module according to the user ID or obtain the current user's seat and rearview mirror adjustment parameters and multimedia parameters from the adjustment device and store the parameters in the vehicle storage in the module;

The adjustment device includes: MCU, seat adjustment module, rearview mirror adjustment module, multimedia adjustment module;

The MCU is configured to control each functional module or analyze and process a system process according to personalized parameters;

a seat adjustment module configured to adjust the seat according to individual parameters;

a rearview mirror adjustment module configured to adjust the seat according to individual parameters;

a multimedia adjustment module configured to adjust the vehicle multimedia according to individualized parameters;

The rearview mirrors include exterior rearview mirrors and/or interior rearview mirrors;

The automatic adjustment device also includes: a T-box smart antenna and a shared server, the T-box is connected to the vehicle-mounted host through the vehicle-mounted Ethernet network, and the shared server is connected to the T-box wirelessly to realize communication with the vehicle-mounted host;

The shared server is configured to receive the user's feature information, personalized adjustment parameter information, and current vehicle model collected from the vehicle, and then process it by calling a preset processing program to generate the user's personalized adjustment under different vehicle models. parameters; or according to demand, send the user's personalized parameter adjustment information to the vehicle that the user is about to drive;

The shared server includes: a data management module, a feature training module, and a data storage module, wherein the data storage module is configured to store the user's personalized parameters, and the data storage module contains a database, and the database includes user feature information and personalization parameters;

The data management module is configured to call the built-in algorithm to analyze and process the collected user feature recognition data and personalized parameter data and store them in the data storage module;

The feature training module is configured to call a preset algorithm for different car models, and generate personalized parameter data corresponding to the user for other car models according to the personalized parameter data corresponding to one car model provided by the user.

Beneficial effect:

1. The technical solution provided by the present invention combined with the feature recognition technology can start feature recognition for the user when the user gradually approaches the car, so as to adjust the seat and prevent the user from adjusting after entering the car. On the one hand, it avoids bad experience for the user caused by the shaking of the seat adjustment by the user in the car, and on the other hand, it can save time. The user enters the car, and the seat and mirrors are adjusted so that the user can drive the car immediately.

2. With the shared server provided by the present invention, users only need to enter information once and manually adjust information such as seats, rearview mirrors, and multimedia once. The shared server can generate the parameters of different models according to the information provided by the user. When the user is driving other vehicles, there is no need to enter the information again and manually adjust the personalized parameters. Facilities are individually adjusted.

Description of drawings

The following drawings only illustrate and explain the present invention schematically, and do not limit the scope of the present invention.

FIG. 1 is a schematic structural diagram of a user-car personalized automatic adjustment device based on feature recognition in an embodiment of the present invention.

FIG. 2 is a schematic structural diagram of a shared server in an embodiment of the present invention.

Fig. 3 is a schematic diagram of an automatic adjustment method for a user's car personalization based on feature recognition in an embodiment of the present invention.

Fig. 4 is a schematic flow diagram of a user entering characteristic information in an embodiment of the present invention

FIG. 5 is a flow chart of obtaining vehicle personalized facility adjustment parameters according to user characteristic information in an embodiment of the present invention.

Fig. 6 is a flow chart of the shared server generating personalized parameters of different car models used by users in an embodiment of the present invention.

FIG. 7 is a schematic diagram of a data storage module including user characteristic information and a personalized parameter database in an embodiment of the present invention.

Fig. 8 is a schematic diagram of seat adjustment in an embodiment of the present invention.

FIG. 9 is a schematic diagram of the coordinate position structure of the rearview mirror in an embodiment of the present invention.

Detailed ways

In order to have a clearer understanding of the technical features, purposes and effects of this document, the specific implementation manners of the present invention will now be described with reference to the accompanying drawings, and the same symbols in each figure represent the same parts. In order to make the drawings concise, the schematic diagrams in the drawings show the relevant parts of the present invention, but do not represent the actual structure of the product. In addition, in order to make the drawings concise and easy to understand, in some drawings, only one of the components having the same structure or function is schematically shown, or only one of them is marked.

As for the control system, functional modules and application programs (APP) are well known to those skilled in the art, they can take any appropriate form, either hardware or software, multiple functional modules discretely set, or It is multiple functional units integrated into one piece of hardware. In the simplest form, the control system can be a controller, such as a combination logic controller, a microprogram controller, etc., as long as it can realize the operations described in this application. Of course, the control system can also be integrated into one physical device as different modules, all of which do not deviate from the basic principle and protection scope of the present invention.

"Connection" 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 present disclosure. As used herein, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It will also be understood that when used in the specification, the terms "comprising" and/or "comprising" mean the presence of stated features, values, steps, operations, elements and/or components, but do not exclude the presence of There are or additionally added one or more other characteristics, 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 boats, ships, aircraft, etc., and including hybrid vehicles, electric vehicles, plug-in hybrid electric vehicles, hydrogen vehicles, and other alternative fuel vehicles (such as fuels derived from energy sources other than petroleum) . As referred to herein, a hybrid vehicle is a vehicle that has two or more sources of power, such as both gasoline-powered and electric-powered vehicles.

Furthermore, 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)-ROMs, magnetic tapes, floppy disks, flash drives, smart cards, and optical data storage devices. The computer readable recording medium can also be distributed in network coupled computer systems so that the computer readable media is stored and executed in a distributed fashion, eg, by a telematics server or a Controller Area Network (CAN).

Example 1:

This implementation provides a user-vehicle personalized automatic adjustment device based on feature recognition. For details, refer to FIG. 1. FIG. A feature recognition device and an adjustment device, wherein the on-vehicle host is connected to the feature recognition device and the adjustment device respectively;

The feature recognition device at least includes a feature recognition module, a recognition judgment module, a feature recognition data storage module,

The feature recognition module includes one or more of a face recognition module, a fingerprint recognition module, an iris recognition module, and a voiceprint recognition module;

Specifically, the feature recognition device is installed on the remote control key, and can also be installed on the B-pillar in the car or other positions in the car, such as the front position of the driver.

Specifically, the face recognition module extracts facial features by collecting pictures of people's faces, which can include an image collector, specifically a camera; the fingerprint recognition module includes a sensor that can collect fingerprints, and the iris recognition module includes a sensor that can collect iris The image collector, the voiceprint recognition module includes a sensor capable of collecting sound, which can be a microphone;

The identification and judgment module is configured to call a feature recognition algorithm to identify and judge the identity of the user according to the feature information of the user collected by the feature recognition module and the user information stored in the feature recognition data module;

Specifically, when a user needs to use a car, the user's face picture is obtained through the face recognition module in the feature recognition module, and then the recognition and judgment module is used to call a built-in algorithm to extract the face features and the data stored in the feature recognition data storage module. The facial features are compared and analyzed to determine whether the facial features correspond to the existing facial features in the feature data, if so, the user identity (ID) is identified, if not, a new user ID is created, and the The extracted new features are stored in the user ID and sent to the feature recognition data storage module.

The feature recognition data storage module is configured to store collected user feature data, such as face data, fingerprint data, iris data, and voiceprint data;

Specifically, it can create feature data corresponding to the user ID according to the features of each user.

The vehicle host includes at least: a distance calculation module, an account management module, a vehicle storage module, and a data acquisition module;

a distance calculation module configured to calculate the distance between the user and the vehicle;

The account management module is configured to manage user IDs, including creating IDs, deleting IDs, binding IDs and characteristic information, or unbinding IDs and characteristic information;

The on-board storage module is configured to store adjustment parameters of the user's seat, rearview mirror, and multimedia;

Specifically, under normal circumstances, a family car or a shared car has been driven by multiple people, and a user ID is established for each different person, and the seat adjustment parameters and rearview mirror adjustment under the user under the ID are recorded. parameter. Therefore, the personalized parameter storage module stores the seat adjustment parameters and rearview mirror parameters corresponding to these different IDs.

The data acquisition module is configured to obtain the parameters corresponding to the user ID from the vehicle storage module according to the user ID or obtain the current user's seat and rearview mirror adjustment parameters and multimedia parameters from the adjustment device and store the parameters in the vehicle storage module.

An adjustment device configured to adjust the seat, rearview mirror, and multimedia according to the user's personalized parameters;

The adjustment device includes: MCU, seat adjustment module, rearview mirror adjustment module, multimedia adjustment module,

The MCU is configured to control each functional module or analyze and process a system process according to personalized parameters;

A seat adjustment module configured to adjust the seat according to individual parameters;

Specifically, when the identity of the user is identified, according to the personalized parameters of the seat of the original user,

Such as: seat front and rear, seat cushion height, backrest angle, lumbar support, shoulder support, headrest, leg rest, etc. These parameters are different for each user, and the seat is adjusted according to the personalized parameters corresponding to the user ID .

The rearview mirror adjustment module is configured to adjust the rearview mirror according to individual parameters;

Specifically, the order of seat adjustment: front and rear -> height -> backrest angle -> lumbar support -> shoulder support -> headrest -> leg rest. If it supports simultaneous adjustment of multiple motors, multiple positions can also be adjusted at the same time.

Specifically, the adjustment sequence of the rearview mirror is: interior rearview mirror -> left exterior rearview mirror -> right exterior rearview mirror, adjusted in the order of X -> Y -> Z.

Specifically, when the identity of the user is identified, the viewing angles of the left and right rearview mirrors of the vehicle are adjusted through the rearview mirror adjustment module according to the personalized parameters of the original user's rearview mirror.

Specifically, the adjustment of the rearview mirror is divided into two types of parameters, one is the rearview mirror parameter in the driving condition, and the other is the rearview mirror parameter in the reverse process.

Specifically, in the reversing mode, the viewing angle display range of the left rearview mirror includes: taking the horizon as the reference, when processing the up and down positions, the distant horizon is placed in the center, and the left and right positions are adjusted so that the body occupies the range of the mirror 1/4 of the rearview mirror; the viewing angle display range of the right rearview mirror includes: placing the horizontal line at the 2/3 position of the rearview mirror, and then adjusting the edge of the body to occupy 1/4 of the mirror image;

In the driving mode described above, adjust the left rearview mirror with the horizon as the reference. The viewing angle display range of the left rearview mirror includes that the body occupies 1/3 of the rearview mirror and the road occupies 2/3; The viewing angle display range includes that the body occupies 1/3 of the rearview mirror, and the road occupies 2/3;

The distinction between the reverse mode and the driving mode is distinguished by whether the reverse gear is engaged.

This implementation provides a personalized automatic adjustment device for seats and rearview mirrors based on feature recognition to determine the user's identity. It also includes a T-box smart antenna and a shared server. The T-box is connected to the vehicle host through the vehicle Ethernet network, and the shared server Connect with the T-box through wireless, so as to realize the communication with the vehicle host.

The sharing server is configured to receive the user's characteristic information and personalized adjustment parameter information collected from the vehicle, or send the user's personalized parameter adjustment information to the vehicle that the user is about to drive.

The shared server includes: a data management module, a feature training module, and a data storage module, wherein the data storage module is configured to store user's personalized parameters;

Referring to FIG. 2, FIG. 2 is a schematic structural diagram of a shared server.

The data management module is configured to analyze and process the data by calling the built-in algorithm;

Specifically, for example, after the sharing server receives the user feature identification data and personalized parameter data collected from the vehicle-mounted host, the data is stored in the data storage module after being processed by calling a function through the data management module. When the user drives another car, if the vehicle does not have the personalized adjustment data, the on-board host will send the user feature information and vehicle model extracted by the feature recognition device to the sharing server, and the sharing server will pass the data after receiving the user feature information. The management module invokes the identification algorithm for identification, and if the identity of the user is identified, the personalized parameters in the user storage module in the data storage module are sent to the on-vehicle host to adjust the personalized parameters of the vehicle.

The feature training module is configured to call a preset algorithm for different car models, and generate personalized parameter data corresponding to the user for other car models according to the personalized parameter data corresponding to one car model provided by the user.

Example 2:

This implementation provides a feature recognition-based automatic adjustment method for user vehicle personalization, as shown in Figure 3, which specifically includes:

Step S1, collecting user characteristic information and obtaining personalized parameters of the current vehicle through the identification device;

Step S2, calculate the distance between the smart key carried by the user and the vehicle, and judge whether to activate the device recognition according to the calculated distance; if the calculated distance is within the activation threshold range, then perform step S3, if the calculated distance is outside the activation threshold range, then end the process;

Step S3, start feature information identification and obtain user ID;

Step S4, according to the user ID, the personalized adjustment parameters corresponding to the vehicle model are acquired and the equipment of the vehicle is adjusted individually.

Referring to FIG. 4 , FIG. 4 is a schematic flowchart of a user entering feature information.

The specific content of step S1 includes:

Step S11, creating a user account ID,

Specifically, when the user drives for the first time, if there is no user information in the feature recognition data module, the user's feature information needs to be entered, and the system will automatically generate a user ID for the user when the enrollment starts.

Step S12, create new feature information collected by the identification device module, feature information includes face information, fingerprint information, iris information, voiceprint information;

The fingerprint information can collect multiple fingers, the iris can collect the left eye and the right eye, and the user can follow the preset standardized sentences when collecting the voiceprint information;

Step S13, judging whether the user characteristic information collected by the characteristic recognition device is successful, if the collection is successful, execute step S14, if the collection fails, return to step S12, and continue collecting.

Step S14, binding the user's characteristic information with the account ID;

Step S15, the user manually adjusts the personalized parameters of the vehicle, and the personalized parameters include seat parameters, left and right rearview mirror parameters, and multimedia parameters;

Step S16: Send the personalized parameters, vehicle model, characteristic information, and account ID under the user ID to the shared server. After receiving the personalized parameters, the shared server generates corresponding models corresponding to the user's characteristic information by calling a built-in algorithm. personalization parameters.

Fig. 5 is a flow chart of obtaining vehicle personalized facility adjustment parameters according to the user's characteristic information,

Specifically, referring to Fig. 5, the specific content of step S13 includes:

Step S31, the feature recognition module collects the feature information of the current user and identifies the feature information, if the identification is successful, then execute step S32, if the identification is unsuccessful, then execute step S34;

Step S32, obtaining the ID corresponding to the user characteristic information

Step S33, judging whether the current vehicle has a personalized adjustment parameter corresponding to the user ID, if yes, then end the process; if not, then execute step S34;

Step S34, sending the user's characteristic information and the current vehicle type to the sharing server;

Step S35, the shared server invokes an internal algorithm to identify the user's feature information and judge whether it is successful, if the identification is successful, then obtain the user's ID, and perform step S36; if the identification fails, then send the information that the user ID does not exist to current vehicle;

Specifically, if the sharing server does not have the user's ID, it means that the user needs to re-enter feature information and adjust the personalized parameters of the vehicle, and then send the data to the sharing server.

Step S36, sending the user ID, feature information, and personalized parameters corresponding to the vehicle model that the current user is about to drive to the current vehicle;

After receiving the feature information entered by the user for the first time and the personalized parameters in the vehicle corresponding to the entered feature information, the shared server will call the internal algorithm to adjust the data for different models according to the personalized parameters corresponding to a model provided by the user, and generate other models. Adjust the data according to the personalized parameters corresponding to the user. In this way, the user only needs to find any car model and record the characteristic information once, instead of having to enter the data for different models. It is especially suitable for the current popular car sharing scene , because there are many users of shared cars, and there are many models. If data entry is required for each model or car, it becomes very cumbersome, and the probability that the user drives a different vehicle each time is likely to be different. Will be more time and resource consuming. This implementation adopts the model of the shared server, which can calculate and adjust the user's personalized parameters corresponding to other car models according to one car model. When you need to drive different models, you only need to send a request to the shared server, and the shared server will automatically send the model data to the vehicle that the user is about to use for personalized parameter adjustment.

Specifically, FIG. 6 is a flow chart for the shared server to generate personalized parameters for users using different vehicle models, see FIG. 6;

The specific steps of step S35 include:

Step S351, the shared server receives the characteristic information from the user and the adjustment of personalized parameters corresponding to the vehicle model;

Step S352, the shared server calls the user’s characteristic information through the data management module to identify the previously used user’s characteristic information and judges whether the recognition is successful, if successful, then executes step S353, if it fails, sends the identification failure information to the on-board host to notify The user enters characteristic information and manually adjusts personalized parameters, and ends the process;

In step S353, according to the model of the vehicle and the personalized parameters, the built-in algorithm is invoked to automatically calculate the personalized adjustment parameters of other vehicle models of the current user.

According to the parameter adjustment of different car models, when the car model is determined, the type of the seat, the geometric space inside the car, the size of the rear view outside the car, and the installation position are determined. According to the data of other car models provided by the user, for the convenience of description, the The personalization parameters corresponding to the known user under the model are standardized personalization parameters, and the personalization parameters of the unknown model are unknown personalization parameters. The standardized personalized parameters come from the personalized parameters manually adjusted by the user, including seat adjustment parameters, left and right rearview mirror parameters, and multimedia parameters.

Specifically, the method for generating parameters corresponding to different vehicle types includes: comparing the geometric data of the vehicle type that the user is about to drive with the geometric data corresponding to the standardized personalized parameters, and calculating the vehicle type that the user is about to drive according to the difference between the geometric data of the two types of vehicle types. Personalization parameters for car model data.

Specifically, in the shared server, the data storage module mainly stores user data, see FIG. 7 for details, and FIG. 7 is a schematic diagram of the data storage module including user characteristic information and a personalized parameter database. The data storage module includes user ID number, name, data, chair parameters, left and right rearview mirror parameters, multimedia parameters, and vehicle models;

Here is just an example. If there are 4 users, each user has only one ID number. The example number is: ABC121~ABC124. Each number corresponds to one user. In fact, there are multiple numbers. If the number exceeds, you can increase the number of digits . The name includes face features, fingerprint recognition, voiceprint features, and iris features. The data column stores feature information of feature users, and the chair parameter column stores information such as seat height, front and rear, backrest, and headrest. The mirror parameters store the X, Y, and Z coordinates of the left and right rearview mirrors. The multimedia parameter records are set by the user's habits, favorite movies, songs, etc. The column of the vehicle model is mainly the parameters of the user in the model, and the model is different. , the personalized adjustment parameters are different, and this is just an example, so the specific parameters are not described, and "*" is used instead.

In step S4, the adjustment of personalized parameters of the vehicle equipment specifically includes:

The positions of the various components of the seat: the front and rear of the seat, the height of the seat cushion, the angle of the backrest, the lumbar support, the shoulder support, the headrest, and the leg rest. Refer to Figure 8 for details. Figure 8 is a schematic diagram of seat adjustment in this embodiment. The adjustment buttons in the embodiment, the user can use these buttons to adjust the seat when adjusting for the first time, Fig. 8 is only an example, and does not represent the seat adjustment structure of a real car.

Specifically, each position is defined in the form of a percentage from 0 to 100.

Headrest: only height adjustment, the lowest is 0, the highest is 100;

Shoulder support: only front and rear adjustment, the last is 0, the front is 100;

Backrest angle: Angle adjustment, 0 for vertical, 100 for lying flat;

Lumbar support: divided into height adjustment and front and rear adjustment. The lowest is 0, the highest is 100; the last is 0, and the first is 100;

Cushion height: It is divided into height adjustment at the front of the cushion and height adjustment at the rear of the cushion. The lowest is 0 and the highest is 100;

Front and rear of the seat: the last is 0, the front is 100;

Leg support: 0 for vertical, 100 for lying flat;

When the user enters the information for the first time, he can perform various conditions according to his own preferences after getting on the car. The on-board host will save the location. When the user requests binding, the location information will be bound to the user account ID.

When the seat is automatically adjusted, the sequence is:

Seat adjustment sequence: front and rear -> height -> backrest angle -> lumbar support -> shoulder support -> headrest -> leg rest. If it supports simultaneous adjustment of multiple motors, multiple positions can also be adjusted at the same time.

The adjustment of the rearview mirror is carried out by adjusting the coordinates of X, Y, and Z. Refer to FIG. 9 for details. FIG. 9 is a schematic diagram of the coordinate position structure of the rearview mirror.

Both the interior rearview mirror and the exterior rearview mirror adopt an electric spherical universal joint shaft, and a position sensor (P0 in Figure 9) is inlaid on the surface of the universal joint shaft. The sensor can report the X, Y, Z coordinates relative to the center O of the circle. The mirror surface of the rearview mirror is parallel to the line connecting P0 and the center O. Therefore, when the user adjusts the position of the interior rearview mirror, the coordinates of P0 will be updated accordingly, and will be sent to the MCU, and then sent to the vehicle host.

Rearview mirror adjustment sequence: interior rearview mirror->left exterior rearview mirror->right exterior rearview mirror, adjust in the order of X->Y->Z.

For the adjustment of the rearview mirror, in this embodiment, it is divided into a reversing mode and a driving mode. The parameters of the reversing mode are different from those of the driving mode.

Specifically, in the reversing mode, the viewing angle display range of the left rearview mirror includes: taking the horizon as a reference, when processing the up and down positions, the distant horizon is placed in the center, and the left and right positions are adjusted to the extent that the body occupies the range of the mirror. 1/4; the viewing angle display range of the right rearview mirror includes: placing the horizontal line at the 2/3 position of the rearview mirror, and then adjusting the edge of the body to occupy 1/4 of the mirror image;

In the driving mode described above, adjust the left rearview mirror with the horizon as the reference. The viewing angle display range of the left rearview mirror includes that the body occupies 1/3 of the rearview mirror and the road occupies 2/3; The viewing angle display range includes that the body occupies 1/3 of the rearview mirror, and the road occupies 2/3;

The distinction between the reverse mode and the driving mode is distinguished by whether the reverse gear is engaged.

What is described above is only a preferred embodiment of the present invention, and the present invention is not limited to the above examples. Those skilled in the art can understand that the form in this embodiment is not limited thereto, and the adjustable manner is not limited thereto either. It can be understood that other improvements and changes directly derived or conceived by those skilled in the art without departing from the basic idea of the present invention shall be considered to be included in the protection scope of the present 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.