CN110816447A - Vehicle mode control system and method - Google Patents
Vehicle mode control system and method Download PDFInfo
- Publication number
- CN110816447A CN110816447A CN201911191302.0A CN201911191302A CN110816447A CN 110816447 A CN110816447 A CN 110816447A CN 201911191302 A CN201911191302 A CN 201911191302A CN 110816447 A CN110816447 A CN 110816447A
- Authority
- CN
- China
- Prior art keywords
- vehicle
- target
- driver
- driving habit
- habit model
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Control Of Driving Devices And Active Controlling Of Vehicle (AREA)
Abstract
The invention relates to the technical field of vehicle control, and discloses a vehicle mode control system and a method, wherein the vehicle mode control system comprises: the system comprises a driver monitoring device, a vehicle-mounted terminal and a remote information processor; the driver monitoring device is used for acquiring the current facial information of the current driver and searching a target driver number corresponding to the current facial information; the vehicle-mounted terminal is used for searching target vehicle setting information corresponding to the target driver number and adjusting the vehicle setting of the vehicle to be controlled; the remote information processor is used for searching a target driving habit model corresponding to a target driver number and adjusting the vehicle power of a vehicle to be controlled, so that the corresponding target vehicle setting information and the target driving habit model are determined by identifying the facial information to adjust the vehicle mode, and the technical problem of controlling the vehicle mode to adjust the vehicle setting and the vehicle power which are accustomed to the driver is solved, and the driving is more convenient and easier.
Description
Technical Field
The invention relates to the technical field of vehicle control, in particular to a vehicle mode control system and a vehicle mode control method.
Background
The current situation of China shows that most families only have one automobile, so that the situation that one family shares one automobile exists, but the automobile is used as a strong article with personal property, the personal brand is easily printed in the using process, the characteristics of drivers are different, the habits of using the automobile are different, and therefore the automobile setting and the automobile power using habits are different.
Therefore, different drivers have different driving habits, and the conventional vehicle control system cannot adjust the vehicle setting and the vehicle power which are used by each driver to the driving habits of the driver, so that the driver can drive the vehicle more conveniently and easily.
Therefore, the technical problem of how to control the vehicle mode to adjust to the vehicle setting and the vehicle power that the driver is accustomed to is essentially existed, so that the driving is more convenient and easier.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a vehicle mode control system and a vehicle mode control method, and aims to solve the technical problem of controlling the vehicle mode to be adjusted to the vehicle setting and vehicle power which are accustomed to a driver, so that the driver can drive more conveniently and easily.
To achieve the above object, the present invention provides a vehicle mode control system including: the system comprises a driver monitoring device, a vehicle-mounted terminal and a remote information processor;
the driver monitoring device is used for acquiring the current facial information of the current driver, searching a target driver number corresponding to the current facial information in a preset database, and transmitting the target driver number to the vehicle-mounted terminal and the remote information processor;
the vehicle-mounted terminal is used for searching target vehicle setting information corresponding to the target driver number in a preset first mapping list and adjusting vehicle setting of a vehicle to be controlled according to the target vehicle setting information;
and the remote information processor is used for searching a target driving habit model corresponding to the target driver number in a preset second mapping list and adjusting the vehicle power of the vehicle to be controlled according to the target driving habit model.
Preferably, the driver monitoring device is further configured to collect facial information to be archived of a driver to be archived, establish a driver archive according to the facial information to be archived, number the driver archive, obtain a driver number corresponding to the driver archive, and transmit the driver number to the vehicle-mounted terminal and the telematics processor;
the vehicle-mounted terminal is further used for acquiring the vehicle setting information of the driver to be archived and establishing a preset first mapping list according to the vehicle setting information and the driver number.
Preferably, the remote information processor is further configured to obtain current driving habit data of the current driver, and upload the current driving habit data and the target driving habit model to a cloud platform, so that the cloud platform updates the target driving habit model according to the current driving habit data, obtains an updated target driving habit model, and feeds back the updated target driving habit model;
the remote information processor is further configured to receive the updated target driving habit model fed back by the cloud platform, and update the preset second mapping list according to the updated target driving habit model.
Preferably, the vehicle-mounted terminal is further configured to search target vehicle setting information corresponding to the target driver number in a preset first mapping list, determine a target controller according to the target vehicle setting information, generate an adjustment instruction, and send the adjustment instruction to the target controller, so that the target controller adjusts vehicle setting of a vehicle to be controlled according to the adjustment instruction.
In addition, to achieve the above object, the present invention also proposes a vehicle mode control method based on a vehicle mode control system including: the vehicle mode control method comprises the following steps of:
the driver monitoring device acquires current facial information of a current driver, searches a target driver number corresponding to the current facial information in a preset database, and transmits the target driver number to the vehicle-mounted terminal and the remote information processor;
the vehicle-mounted terminal searches target vehicle setting information corresponding to the target driver number in a preset first mapping list, and adjusts vehicle setting of a vehicle to be controlled according to the target vehicle setting information;
and the remote information processor searches a target driving habit model corresponding to the target driver number in a preset second mapping list, and adjusts the vehicle power of the vehicle to be controlled according to the target driving habit model.
Preferably, before the driver monitoring device collects current facial information of a current driver, searches a preset database for a target driver number corresponding to the current facial information, and transmits the target driver number to the in-vehicle terminal and the telematics processor, the method further includes:
the driver monitoring device collects facial information to be archived of a driver to be archived, establishes driver archiving according to the facial information to be archived, numbers the driver archiving, obtains a driver number corresponding to the driver archiving, and transmits the driver number to the vehicle-mounted terminal and the remote information processor;
and the vehicle-mounted terminal acquires the vehicle setting information of the driver to be archived, and establishes a preset first mapping list according to the vehicle setting information and the driver number.
Preferably, after the transmitting the driver number to the in-vehicle terminal and the telematics processor, the method further includes:
the remote information processor acquires the driving habit data of the driver to be archived, uploads the driving habit data to a cloud-end platform, so that the cloud-end platform carries out modeling analysis according to the driving habit data to obtain a driving habit model and feeds back the driving habit model;
and the remote information processor receives the driving habit model fed back by the cloud platform, and establishes a preset second mapping list according to the driving habit model and the driver number.
Preferably, after the telematics processor searches a target driving habit model corresponding to the target driver number in a preset second mapping list and adjusts the vehicle power of the vehicle to be controlled according to the target driving habit model, the method further includes:
the remote information processor acquires current driving habit data of the current driver, and uploads the current driving habit data and the target driving habit model to a cloud platform, so that the cloud platform updates the target driving habit model according to the current driving habit data, acquires an updated target driving habit model and feeds back the updated target driving habit model;
and the remote information processor receives the updated target driving habit model fed back by the cloud platform and updates the preset second mapping list according to the updated target driving habit model.
Preferably, the vehicle-mounted terminal searches target vehicle setting information corresponding to the target driver number in a preset first mapping list, and adjusts vehicle setting of a vehicle to be controlled according to the target vehicle setting information, and specifically includes:
the vehicle-mounted terminal searches target vehicle setting information corresponding to the target driver number in a preset first mapping list, determines a target controller according to the target vehicle setting information, generates an adjusting instruction, and sends the adjusting instruction to the target controller, so that the target controller adjusts vehicle setting of a vehicle to be controlled according to the adjusting instruction.
The present invention provides a vehicle mode control system, comprising: the system comprises a driver monitoring device, a vehicle-mounted terminal and a remote information processor; the driver monitoring device is used for acquiring the current facial information of the current driver, searching a target driver number corresponding to the current facial information in a preset database, and transmitting the target driver number to the vehicle-mounted terminal and the remote information processor; the vehicle-mounted terminal is used for searching target vehicle setting information corresponding to the target driver number in a preset first mapping list and adjusting vehicle setting of a vehicle to be controlled according to the target vehicle setting information; the remote information processor is used for searching a target driving habit model corresponding to the target driver number in a preset second mapping list, and adjusting the vehicle power of the vehicle to be controlled according to the target driving habit model, so that the driver number is determined by identifying the facial information, and the corresponding target vehicle setting information and the target driving habit model are determined according to the driver number to adjust the vehicle mode, thereby solving the technical problem of controlling the vehicle mode to adjust to the vehicle setting and the vehicle power which are accustomed to the driver, and enabling the driving to be more convenient and easier.
Drawings
FIG. 1 is a functional block diagram of a first embodiment of a vehicle mode control system according to the present invention;
FIG. 2 is a functional block diagram of a second embodiment of the vehicle mode control system of the present invention;
FIG. 3 is a functional block diagram of a third embodiment of a vehicle mode control system according to the present invention;
FIG. 4 is a schematic flow chart diagram of a first embodiment of a vehicle mode control method of the present invention;
FIG. 5 is a schematic flow chart diagram of a second embodiment of a vehicle mode control method of the present invention;
fig. 6 is a flowchart illustrating a vehicle mode control method according to a third embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a block diagram showing a configuration of a first embodiment of a vehicle mode control system according to the present invention. The vehicle mode control system includes: a driver monitor device 10, an in-vehicle terminal 20, and a telematics processor 30;
the driver monitoring device 10 is configured to collect current facial information of a current driver, search a preset database for a target driver number corresponding to the current facial information, and transmit the target driver number to the vehicle-mounted terminal 20 and the telematics processor 30.
It can be understood that the face information is provided with a corresponding driver number in advance and stored in a preset database, that is, the preset database stores a plurality of face information and the driver numbers corresponding to the face information.
It should be understood that when the user sits in the driving seat to start the vehicle, the driver monitoring apparatus 10 collects the current facial information of the current driver, and searches for a target driver number corresponding to the current facial information, transmits the driver number to the in-vehicle terminal 20 and the telematics processor 30, and the in-vehicle terminal 20 and the telematics processor 30 control the vehicle mode according to the driver number.
It can be understood that the step of searching for the target driver number may be divided into two stages, where the first stage first determines whether the preset database has the current facial information, and if the preset database does not have the current facial information, it indicates that the current driver has not set the vehicle mode before, and cannot provide the vehicle mode automatic control service for the current driver, and may generate a prompt instruction to prompt the current driver not to store files.
It should be understood that when the current facial information is detected in the preset database in the first stage, the target driver number corresponding to the current facial information is searched, and the success rate of detection and the detection efficiency can be improved by dividing into two stages.
The terminal device 20 is configured to search target vehicle setting information corresponding to the target driver number in a preset first mapping list, and adjust vehicle setting of a vehicle to be controlled according to the target vehicle setting information.
It should be noted that the vehicle settings include a driving seat, an outside rear view mirror angle, a steering wheel angle, an air conditioner, a steering torque of a steering wheel, an inside rear view mirror angle, and the like, and may also include more other settings, and the vehicle-mounted terminal may be the MP5, which is not limited in this embodiment.
It can be understood that the preset first mapping list contains a driver number and vehicle setting information, target vehicle setting information corresponding to the target driver number is searched in the preset first mapping list, vehicle setting used by the current driver can be known according to the target vehicle setting information, vehicle setting of a vehicle to be controlled is adjusted according to the target vehicle setting information, for example, a driving seat is adjusted to a target position, an inside and outside rearview mirror, a steering wheel angle and the like are adjusted to the target position, an air conditioner is adjusted according to the target vehicle setting information, and the mode that the vehicle setting is adjusted to the current driver use is achieved.
It should be understood that the vehicle setting information is set by the user in advance and is bound with the driver number and the face information after being set, so that the vehicle setting mode can be adjusted in a targeted manner when the driver is detected to be in the driving position.
In a specific implementation, for example, vehicle setting examples of adjusting a vehicle to be controlled according to the target vehicle setting information are as follows: 1. adjusting a driving seat: the vehicle-mounted terminal 20 generates a seat adjusting instruction according to the target vehicle setting information, sends the seat adjusting instruction to the seat controller through the CAN network, and after receiving the instruction, the seat controller automatically adjusts the height of the seat and the distance between the seat and the pedal according to the seat adjusting instruction, and feeds back the adjusted seat position information to the vehicle-mounted terminal 20, and the vehicle-mounted terminal 20 performs corresponding prompt to prompt the completion of adjustment. 2. Adjusting the outer rearview mirror: the vehicle-mounted terminal 20 generates an outside rear view mirror adjusting instruction according to the setting of the target vehicle, sends the outside rear view mirror adjusting instruction to the outside rear view mirror controller through the CAN network, the outside rear view mirror controller controls the mirror surface to adjust to a corresponding angle after receiving the outside rear view mirror adjusting instruction, and simultaneously feeds back the adjusted outside rear view mirror angle information to the vehicle-mounted terminal 20, and the vehicle-mounted terminal 20 CAN perform corresponding prompt to prompt the completion of adjustment. 3. Steering portability adjustment: the vehicle-mounted terminal 20 generates a steering portability mode command according to the target vehicle setting, and sends the steering portability mode command to the steering controller through the CAN network, so that the steering controller adjusts the steering torque to meet the driving habit of the driver, and the above example is only for illustration, and the protection range is not limited.
The telematics processor 30 is configured to search a preset second mapping list for a target driving habit model corresponding to the target driver number, and adjust the vehicle power of the vehicle to be controlled according to the target driving habit model.
It can be understood that the preset second mapping list comprises a driver number and a driving habit model, the driving habit model is generated by collecting the driving habits of the user before, and after the target driving habit model is determined, the vehicle power of the vehicle to be controlled is adjusted according to the target driving habit model, so that the driving of the current driver is in accordance with the habits of the driver, the driving comfort can be improved, and the satisfaction of the user is improved.
In a particular implementation, for example, telematics processor 30 generates power adjustment instructions based on the target driving habit model and sends the power adjustment instructions to the corresponding controller to cause the controller to adjust the power.
In this embodiment, according to the above scheme, the vehicle mode control system includes: a driver monitor device 10, an in-vehicle terminal 20, and a telematics processor 30; the driver monitoring device 10 is configured to collect current facial information of a current driver, search a preset database for a target driver number corresponding to the current facial information, and transmit the target driver number to the vehicle-mounted terminal 20 and the telematics processor 30; the vehicle-mounted terminal 20 is configured to search target vehicle setting information corresponding to the target driver number in a preset first mapping list, and adjust vehicle settings of a vehicle to be controlled according to the target vehicle setting information; the telematics processor 30 is configured to search a target driving habit model corresponding to the target driver number in a preset second mapping list, and adjust the vehicle power of the vehicle to be controlled according to the target driving habit model, so that the driver number is determined by identifying the facial information, and then the corresponding target vehicle setting information and the target driving habit model are determined according to the driver number to adjust the vehicle mode, thereby solving the technical problem of how to control the vehicle mode to adjust to the vehicle setting and the vehicle power that the driver is accustomed to, so that the driving is more convenient and easier.
Further, referring to fig. 2, fig. 2 is a block diagram showing a second embodiment of the vehicle mode control system according to the present invention, and the second embodiment of the vehicle mode control system according to the present invention is proposed based on the embodiment shown in fig. 1.
The driver monitoring device 10 'is used for collecting the facial information to be archived of the driver to be archived, establishing driver archive according to the facial information to be archived, numbering the driver archive, obtaining the driver number corresponding to the driver archive, and transmitting the driver number to the vehicle-mounted terminal 20' and the remote information processor 30.
It can be understood that the manner of collecting the facial information to be archived may be to collect the facial information through the driver monitoring device 10', or may also be to collect the facial information through other cameras, or may also be to collect the facial information through other manners.
It should be understood that the facial information to be archived is collected, the driver archive is established according to the facial information to be archived, and the driver archive is numbered, so that the driver archive and the driver number are in one-to-one correspondence, and the corresponding driver number and the facial information can be determined according to the driver number.
The vehicle-mounted terminal 20' is configured to acquire the vehicle setting information of the driver to be archived, and establish a preset first mapping list according to the vehicle setting information and the driver number.
It CAN be understood that after facial information is collected, after the driver number is determined to correspond to the facial information, the driver to be filed starts to adjust vehicle settings according to use habits, such as seat height, seat distance, steering wheel steering torque, outside rearview mirror angle and the like, after required parameters are set, the driving habit matching key is clicked at the vehicle-mounted terminal, updating and matching are determined, the vehicle-mounted terminal automatically collects states of all modules of a set vehicle through a CAN (controller area network) bus, and stores the states in association with the driver number, and meanwhile, the driver number and the vehicle setting information which are matched in a linkage manner are uploaded to a cloud server through the remote information processor 30 and are updated in real time.
According to the scheme provided by the embodiment, firstly, facial information of a driver is collected to establish a file and a driver number, and then corresponding vehicle setting information is acquired and is bound with the driver number for storage.
Further, referring to fig. 3, fig. 3 is a block diagram showing a configuration of a third embodiment of the vehicle mode control system according to the present invention, and the third embodiment of the vehicle mode control system according to the present invention is proposed based on the embodiment shown in fig. 1 or fig. 3, and is explained based on fig. 1:
the remote information processor 30' is configured to obtain current driving habit data of the current driver, and upload the current driving habit data and the target driving habit model to a cloud platform, so that the cloud platform updates the target driving habit model according to the current driving habit data, obtains an updated target driving habit model, and feeds back the updated target driving habit model.
The driving habit model updating method comprises the steps that in the driving process of a driver, current driving habit data are continuously collected, the current driving habit data and a target driving habit model are uploaded to a cloud-end platform, and the cloud-end platform updates the target driving habit model according to the current driving habit data to obtain the updated target driving habit model.
The telematics processor 30' is configured to receive the updated target driving habit model fed back by the cloud platform, and update the preset second mapping list according to the updated target driving habit model.
It can be understood that the remote processor receives the updated target driving habit model, updates the preset second mapping list according to the updated target driving habit model, deletes the original target driving habit model, and takes the updated target driving habit model as a new target driving habit model.
According to the scheme provided by the embodiment, the current habit data of the driver are continuously collected, and the driving habit model is updated according to the current habit data, so that better driving experience is brought to the user.
Referring to fig. 4, the present invention provides a vehicle mode control method based on a vehicle mode control system, the vehicle mode control system comprising: the vehicle mode control method comprises the following steps of:
step S10, the driver monitoring device collects the current face information of the current driver, searches the target driver number corresponding to the current face information in a preset database, and transmits the target driver number to the vehicle-mounted terminal and the remote information processor.
It can be understood that the face information is provided with a corresponding driver number in advance and stored in a preset database, that is, the preset database stores a plurality of face information and the driver numbers corresponding to the face information.
It should be understood that, when a user sits in a driving seat to start a vehicle, the driver monitoring device collects current facial information of the current driver, searches for a target driver number corresponding to the current facial information, transmits the driver number to the vehicle-mounted terminal and the remote information processor, and controls a vehicle mode according to the driver number by the vehicle-mounted terminal and the remote information processor.
It can be understood that the step of searching for the target driver number may be divided into two stages, where the first stage first determines whether the preset database has the current facial information, and if the preset database does not have the current facial information, it indicates that the current driver has not set the vehicle mode before, and cannot provide the vehicle mode automatic control service for the current driver, and may generate a prompt instruction to prompt the current driver not to store files.
It should be understood that when the current facial information is detected in the preset database in the first stage, the target driver number corresponding to the current facial information is searched, and the success rate of detection and the detection efficiency can be improved by dividing into two stages.
And step S20, the vehicle-mounted terminal searches target vehicle setting information corresponding to the target driver number in a preset first mapping list, and adjusts the vehicle setting of the vehicle to be controlled according to the target vehicle setting information.
It should be noted that the vehicle settings include a driving seat, an outside rear view mirror angle, a steering wheel angle, an air conditioner, a steering torque of a steering wheel, an inside rear view mirror angle, and the like, and may also include more other settings, and the vehicle-mounted terminal may be the MP5, which is not limited in this embodiment.
It can be understood that the preset first mapping list contains a driver number and vehicle setting information, target vehicle setting information corresponding to the target driver number is searched in the preset first mapping list, vehicle setting used by the current driver can be known according to the target vehicle setting information, vehicle setting of a vehicle to be controlled is adjusted according to the target vehicle setting information, for example, a driving seat is adjusted to a target position, an inside and outside rearview mirror, a steering wheel angle and the like are adjusted to the target position, an air conditioner is adjusted according to the target vehicle setting information, and the mode that the vehicle setting is adjusted to the current driver use is achieved.
It should be understood that the vehicle setting information is set by the user in advance and is bound with the driver number and the face information after being set, so that the vehicle setting mode can be adjusted in a targeted manner when the driver is detected to be in the driving position.
In a specific implementation, for example, vehicle setting examples of adjusting a vehicle to be controlled according to the target vehicle setting information are as follows: 1. adjusting a driving seat: the vehicle-mounted terminal generates a seat adjusting instruction according to the target vehicle setting information, sends the seat adjusting instruction to the seat controller through the CAN network, and after receiving the instruction, the seat controller automatically adjusts the height of the seat and the distance between the seat and the pedal according to the seat adjusting instruction and feeds back the adjusted seat position information to the vehicle-mounted terminal, and the vehicle-mounted terminal CAN perform corresponding prompt to prompt the completion of adjustment. 2. Adjusting the outer rearview mirror: the vehicle-mounted terminal generates an exterior rear view mirror adjusting instruction according to the setting of a target vehicle, sends the exterior rear view mirror adjusting instruction to the exterior rear view mirror controller through the CAN network, and after the exterior rear view mirror controller receives the exterior rear view mirror adjusting instruction, the driving motor controls the mirror surface to adjust to a corresponding angle, and simultaneously feeds back the adjusted exterior rear view mirror angle information to the vehicle-mounted terminal, and the vehicle-mounted terminal CAN perform corresponding prompt to prompt the completion of adjustment. 3. Steering portability adjustment: the vehicle-mounted terminal generates a steering portability mode instruction according to the setting of the target vehicle, and sends the steering portability mode instruction to the steering controller through the CAN network, so that the steering controller adjusts the steering torque to meet the driving habit of the driver.
And step S30, the telematics processor searches a target driving habit model corresponding to the target driver number in a preset second mapping list, and adjusts the vehicle power of the vehicle to be controlled according to the target driving habit model.
It can be understood that the preset second mapping list comprises a driver number and a driving habit model, the driving habit model is generated by collecting the driving habits of the user before, and after the target driving habit model is determined, the vehicle power of the vehicle to be controlled is adjusted according to the target driving habit model, so that the driving of the current driver is in accordance with the habits of the driver, the driving comfort can be improved, and the satisfaction of the user is improved.
In a particular implementation, for example, the telematics processor generates power adjustment instructions based on the target driving habit model, and sends the power adjustment instructions to the corresponding controller to cause the controller to adjust the power.
According to the scheme, the current facial information of the current driver is acquired through the driver monitoring device, the target driver number corresponding to the current facial information is searched in the preset database, and the target driver number is transmitted to the vehicle-mounted terminal and the remote information processor; the vehicle-mounted terminal searches target vehicle setting information corresponding to the target driver number in a preset first mapping list, and adjusts vehicle setting of a vehicle to be controlled according to the target vehicle setting information; the remote information processor searches a target driving habit model corresponding to the target driver number in a preset second mapping list, and adjusts the vehicle power of the vehicle to be controlled according to the target driving habit model, so that the driver number is determined by identifying the facial information, and the corresponding target vehicle setting information and the target driving habit model are determined according to the driver number to adjust the vehicle mode, thereby solving the technical problem of controlling the vehicle mode to adjust to the vehicle setting and the vehicle power which are accustomed to the driver, and enabling the driving to be more convenient and easier.
Further, as shown in fig. 5, a second embodiment of the vehicle mode control method according to the present invention is proposed based on the first embodiment, and in this embodiment, before the step S10, the method further includes:
and S001, the driver monitoring device collects the facial information to be archived of the driver to be archived, establishes driver archiving according to the facial information to be archived, numbers the driver archiving, obtains the driver number corresponding to the driver archiving, and transmits the driver number to the vehicle-mounted terminal and the remote information processor.
It can be understood that the mode of gathering the facial information to be archived can be for gathering through driver monitoring device, also can gather through other cameras, still can gather through other modes, and this embodiment does not do the restriction to this to, in this embodiment, gather through driver monitoring device, this embodiment does not do the restriction to this.
It should be understood that the facial information to be archived is collected, the driver archive is established according to the facial information to be archived, and the driver archive is numbered, so that the driver archive and the driver number are in one-to-one correspondence, and the corresponding driver number and the facial information can be determined according to the driver number.
And step S002, the vehicle-mounted terminal acquires the vehicle setting information of the driver to be archived, and establishes a preset first mapping list according to the vehicle setting information and the driver number.
It CAN be understood that after facial information is collected, after the driver number is determined to correspond to the facial information, the driver to be filed starts to adjust vehicle settings according to use habits, such as seat height, seat distance, steering wheel steering torque, outer rearview mirror angle and the like, after needed parameters are set, a driving habit matching key is clicked at the vehicle-mounted terminal, updating and matching are determined, the vehicle-mounted terminal automatically collects states of all modules of a set vehicle through a CAN (controller area network) bus, the states are stored in association with the driver number, and simultaneously the driver number and the vehicle setting information which are matched in a linkage mode are uploaded to a cloud server through a remote information processor and are updated in real time.
Further, after the step S002, the method further includes: the remote information processor acquires the driving habit data of the driver to be archived, uploads the driving habit data to a cloud-end platform, so that the cloud-end platform carries out modeling analysis according to the driving habit data to obtain a driving habit model and feeds back the driving habit model; and the remote information processor receives the driving habit model fed back by the cloud platform, and establishes a preset second mapping list according to the driving habit model and the driver number.
It should be understood that the driving habit model is generated according to the driving habit data, and the preset second mapping list is established according to the driving habit model and the driver number.
It CAN be understood that, treat that the driver of filing drives the in-process, telematics unit continuously gathers whole car CAN bus data and driving habit data, like brake pedal service condition, accelerator pedal service condition, the condition of accelerating and decelerating etc. to upload cloud end platform, carry out the modeling analysis at the high in the clouds platform, the driving habit model that corresponds the driver number is established according to driver driving habit analysis result to the high in the clouds server, and issue driving habit model to telematics unit, follow-up by telematics unit according to driving habit model vehicle power control.
According to the scheme provided by the embodiment, firstly, facial information of a driver is collected to establish a file and a driver number, and then corresponding vehicle setting information is acquired and is bound with the driver number for storage.
Further, as shown in fig. 6, a third embodiment of the vehicle mode control method of the invention is proposed based on the first embodiment or the second embodiment, and in this embodiment, explained based on the first embodiment, after the step S30, the method further includes:
step S401, the remote information processor obtains current driving habit data of the current driver, uploads the current driving habit data and the target driving habit model to a cloud platform, so that the cloud platform updates the target driving habit model according to the current driving habit data, obtains an updated target driving habit model, and feeds back the updated target driving habit model.
The driving habit model updating method comprises the steps that in the driving process of a driver, current driving habit data are continuously collected, the current driving habit data and a target driving habit model are uploaded to a cloud-end platform, and the cloud-end platform updates the target driving habit model according to the current driving habit data to obtain the updated target driving habit model.
Step S402, the remote information processor receives the updated target driving habit model fed back by the cloud platform, and updates the preset second mapping list according to the updated target driving habit model.
It can be understood that the remote processor receives the updated target driving habit model, updates the preset second mapping list according to the updated target driving habit model, deletes the original target driving habit model, and takes the updated target driving habit model as a new target driving habit model.
According to the scheme provided by the embodiment, the current habit data of the driver are continuously collected, and the driving habit model is updated according to the current habit data, so that better driving experience is brought to the user.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a computer-readable storage medium (such as ROM/RAM, magnetic disk, optical disk) as described above, and includes several instructions for enabling an intelligent terminal (which may be a mobile phone, a computer, a terminal, an air conditioner, or a network terminal) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A vehicle mode control system, characterized by comprising: the system comprises a driver monitoring device, a vehicle-mounted terminal and a remote information processor;
the driver monitoring device is used for acquiring the current facial information of the current driver, searching a target driver number corresponding to the current facial information in a preset database, and transmitting the target driver number to the vehicle-mounted terminal and the remote information processor;
the vehicle-mounted terminal is used for searching target vehicle setting information corresponding to the target driver number in a preset first mapping list and adjusting vehicle setting of a vehicle to be controlled according to the target vehicle setting information;
and the remote information processor is used for searching a target driving habit model corresponding to the target driver number in a preset second mapping list and adjusting the vehicle power of the vehicle to be controlled according to the target driving habit model.
2. The vehicle mode control system of claim 1, wherein the driver monitoring device is further configured to collect facial information to be archived of a driver to be archived, establish a driver archive according to the facial information to be archived, number the driver archive, obtain a driver number corresponding to the driver archive, and transmit the driver number to the vehicle-mounted terminal and the telematics processor;
the vehicle-mounted terminal is further used for acquiring the vehicle setting information of the driver to be archived and establishing a preset first mapping list according to the vehicle setting information and the driver number.
3. The vehicle mode control system of claim 2, wherein the telematics processor is further configured to obtain driving habit data of the driver to be archived, upload the driving habit data to a cloud-end platform, so that the cloud-end platform performs modeling analysis according to the driving habit data to obtain a driving habit model, and feed back the driving habit model;
the remote information processor is further used for receiving the driving habit model fed back by the cloud platform and establishing a preset second mapping list according to the driving habit model and the driver number.
4. The vehicle mode control system of claim 1, wherein the telematics processor is further configured to obtain current driving habit data of the current driver, and upload the current driving habit data and the target driving habit model to a cloud-end platform, so that the cloud-end platform updates the target driving habit model according to the current driving habit data, obtains an updated target driving habit model, and feeds back the updated target driving habit model;
the remote information processor is further configured to receive the updated target driving habit model fed back by the cloud platform, and update the preset second mapping list according to the updated target driving habit model.
5. The vehicle mode control system according to claim 1, wherein the in-vehicle terminal is further configured to search a preset first mapping list for target vehicle setting information corresponding to the target driver number, determine a target controller according to the target vehicle setting information, generate an adjustment instruction, and send the adjustment instruction to the target controller, so that the target controller adjusts the vehicle setting of the vehicle to be controlled according to the adjustment instruction.
6. A vehicle mode control method, characterized in that the vehicle mode control method is based on a vehicle mode control system comprising: the vehicle mode control method comprises the following steps of:
the driver monitoring device acquires current facial information of a current driver, searches a target driver number corresponding to the current facial information in a preset database, and transmits the target driver number to the vehicle-mounted terminal and the remote information processor;
the vehicle-mounted terminal searches target vehicle setting information corresponding to the target driver number in a preset first mapping list, and adjusts vehicle setting of a vehicle to be controlled according to the target vehicle setting information;
and the remote information processor searches a target driving habit model corresponding to the target driver number in a preset second mapping list, and adjusts the vehicle power of the vehicle to be controlled according to the target driving habit model.
7. The vehicle mode control method according to claim 6, wherein the driver monitoring device collects current facial information of a current driver, searches a preset database for a target driver number corresponding to the current facial information, and before transmitting the target driver number to the in-vehicle terminal and the telematics processor, the method further comprises:
the driver monitoring device collects facial information to be archived of a driver to be archived, establishes driver archiving according to the facial information to be archived, numbers the driver archiving, obtains a driver number corresponding to the driver archiving, and transmits the driver number to the vehicle-mounted terminal and the remote information processor;
and the vehicle-mounted terminal acquires the vehicle setting information of the driver to be archived, and establishes a preset first mapping list according to the vehicle setting information and the driver number.
8. The vehicle mode control method of claim 7, wherein after transmitting the driver number to the in-vehicle terminal and the telematics processor, the method further comprises:
the remote information processor acquires the driving habit data of the driver to be archived, uploads the driving habit data to a cloud-end platform, so that the cloud-end platform carries out modeling analysis according to the driving habit data to obtain a driving habit model and feeds back the driving habit model;
and the remote information processor receives the driving habit model fed back by the cloud platform, and establishes a preset second mapping list according to the driving habit model and the driver number.
9. The vehicle mode control method of claim 6, wherein the telematics processor searches a preset second mapping list for a target driving habit model corresponding to the target driver number, and after adjusting the vehicle dynamics of the vehicle to be controlled according to the target driving habit model, the method further comprises:
the remote information processor acquires current driving habit data of the current driver, and uploads the current driving habit data and the target driving habit model to a cloud platform, so that the cloud platform updates the target driving habit model according to the current driving habit data, acquires an updated target driving habit model and feeds back the updated target driving habit model;
and the remote information processor receives the updated target driving habit model fed back by the cloud platform and updates the preset second mapping list according to the updated target driving habit model.
10. The vehicle mode control method according to claim 6, wherein the vehicle-mounted terminal searches target vehicle setting information corresponding to the target driver number in a preset first mapping list, and adjusts vehicle settings of the vehicle to be controlled according to the target vehicle setting information, specifically comprising:
the vehicle-mounted terminal searches target vehicle setting information corresponding to the target driver number in a preset first mapping list, determines a target controller according to the target vehicle setting information, generates an adjusting instruction, and sends the adjusting instruction to the target controller, so that the target controller adjusts vehicle setting of a vehicle to be controlled according to the adjusting instruction.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911191302.0A CN110816447A (en) | 2019-11-27 | 2019-11-27 | Vehicle mode control system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911191302.0A CN110816447A (en) | 2019-11-27 | 2019-11-27 | Vehicle mode control system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110816447A true CN110816447A (en) | 2020-02-21 |
Family
ID=69542828
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911191302.0A Pending CN110816447A (en) | 2019-11-27 | 2019-11-27 | Vehicle mode control system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110816447A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112017339A (en) * | 2020-09-24 | 2020-12-01 | 柳州柳工挖掘机有限公司 | Excavator control system |
| CN113212432A (en) * | 2021-06-08 | 2021-08-06 | 奇瑞汽车股份有限公司 | Starting method and system for automobile driving mode |
| CN113859244A (en) * | 2021-10-31 | 2021-12-31 | 东风商用车有限公司 | Engine mode control method, device, equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105824494A (en) * | 2015-01-27 | 2016-08-03 | 现代自动车株式会社 | Personalized display system for integrating and varying car content, and car content management method |
| CN106364432A (en) * | 2016-08-25 | 2017-02-01 | 乐视控股（北京）有限公司 | Vehicle control method and device as well as vehicle |
| CN106597951A (en) * | 2016-12-26 | 2017-04-26 | 深圳市元征科技股份有限公司 | Method for controlling vehicle and terminal thereof |
| CN108189804A (en) * | 2017-12-29 | 2018-06-22 | 威马智慧出行科技（上海）有限公司 | A kind of face identification system and face identification method for vehicle |
| CN108482187A (en) * | 2018-04-26 | 2018-09-04 | 浙江吉利汽车研究院有限公司 | The control method for vehicle and system of identity-based identification |
-
2019
- 2019-11-27 CN CN201911191302.0A patent/CN110816447A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105824494A (en) * | 2015-01-27 | 2016-08-03 | 现代自动车株式会社 | Personalized display system for integrating and varying car content, and car content management method |
| CN106364432A (en) * | 2016-08-25 | 2017-02-01 | 乐视控股（北京）有限公司 | Vehicle control method and device as well as vehicle |
| CN106597951A (en) * | 2016-12-26 | 2017-04-26 | 深圳市元征科技股份有限公司 | Method for controlling vehicle and terminal thereof |
| CN108189804A (en) * | 2017-12-29 | 2018-06-22 | 威马智慧出行科技（上海）有限公司 | A kind of face identification system and face identification method for vehicle |
| CN108482187A (en) * | 2018-04-26 | 2018-09-04 | 浙江吉利汽车研究院有限公司 | The control method for vehicle and system of identity-based identification |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112017339A (en) * | 2020-09-24 | 2020-12-01 | 柳州柳工挖掘机有限公司 | Excavator control system |
| CN113212432A (en) * | 2021-06-08 | 2021-08-06 | 奇瑞汽车股份有限公司 | Starting method and system for automobile driving mode |
| CN113859244A (en) * | 2021-10-31 | 2021-12-31 | 东风商用车有限公司 | Engine mode control method, device, equipment and storage medium |
| CN113859244B (en) * | 2021-10-31 | 2023-09-01 | 东风商用车有限公司 | Engine mode control method, device, equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110816447A (en) | Vehicle mode control system and method | |
| CN109515361B (en) | Cabin adjustment system and vehicle | |
| US20190016235A1 (en) | Adjustment Device for Automatic Seat Position Change in a Vehicle | |
| US9663112B2 (en) | Adaptive driver identification fusion | |
| DE102018100182A1 (en) | Occupant-specific autonomous vehicle control system and method | |
| DE102014202304A1 (en) | METHOD AND SYSTEM FOR SELECTION OF DRIVER PREFERENCES | |
| DE102017105885A1 (en) | Method and device for predictive driver assistance | |
| CN107942746B (en) | Vehicle remote control system and method | |
| CN108733049A (en) | Adaptive self vehicle drive mode | |
| CN111071182A (en) | Recommendation method, device and system for vehicle configuration function | |
| CN111008704B (en) | Processing method, device, equipment and storage medium for federal learning of electric automobile | |
| CN112805199A (en) | Self-learning method, device and equipment of automatic driving system and storage medium | |
| CN111634289A (en) | Vehicle component adjusting method, device, terminal and storage medium | |
| CN110789477B (en) | Control method and device for test driving vehicle, cloud platform and vehicle-mounted intelligent equipment | |
| DE102016223811A1 (en) | SYSTEM AND METHOD FOR CONNECTIVITY OF VEHICLE-CONNECTED AND MOBILE COMMUNICATION DEVICES | |
| CN105644476A (en) | Self-adaptation control method for intelligent automobile system | |
| CN112883417A (en) | New energy automobile control method and system based on face recognition and new energy automobile | |
| CN114590200A (en) | Intelligent man-machine adjusting system and method | |
| CN105270297A (en) | Vehicle learning interface | |
| CN113386777B (en) | Vehicle adaptive control method, system, vehicle and computer storage medium | |
| CN113306546A (en) | Curve driving acceleration control method, ACC system and storage medium | |
| DE102014206926A1 (en) | Method and device for adjusting at least one charging parameter of a traction battery of a vehicle | |
| DE102017130628A1 (en) | System, method and computer program product for increasing driving safety in traffic | |
| CN113022485A (en) | Cabin automatic adjustment method, cabin automatic adjustment system and vehicle-mounted terminal | |
| CN112172451B (en) | Intelligent air conditioner adjusting method and system suitable for shared automobile |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200221 |