CN114013448B - Control method and device for automobile and computer storage medium - Google Patents
Control method and device for automobile and computer storage medium Download PDFInfo
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- CN114013448B CN114013448B CN202111223247.6A CN202111223247A CN114013448B CN 114013448 B CN114013448 B CN 114013448B CN 202111223247 A CN202111223247 A CN 202111223247A CN 114013448 B CN114013448 B CN 114013448B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
- B60W40/09—Driving style or behaviour
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W2050/0001—Details of the control system
- B60W2050/0019—Control system elements or transfer functions
- B60W2050/0028—Mathematical models, e.g. for simulation
- B60W2050/0029—Mathematical model of the driver
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2520/00—Input parameters relating to overall vehicle dynamics
- B60W2520/10—Longitudinal speed
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2552/00—Input parameters relating to infrastructure
- B60W2552/50—Barriers
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2552/00—Input parameters relating to infrastructure
- B60W2552/53—Road markings, e.g. lane marker or crosswalk
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- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Traffic Control Systems (AREA)
Abstract
The embodiment of the application discloses a control method and device of an automobile and a computer storage medium, belonging to the technical field of vehicle engineering. The method comprises the following steps: acquiring driver information of a target driver driving an automobile, and environment information of the automobile and running information of the automobile; acquiring a corresponding automobile control model according to the driver information of the target driver, wherein the automobile control model is a model describing driving habits of the target driver in different driving environments; and controlling the automobile through the automobile control model according to the environment information and the running information. According to the embodiment of the application, the automobile is controlled through the automobile control model corresponding to the target driver, and the automobile control model corresponding to the target driver can describe the driving habits of the target driver in different driving environments, so that the automobile control operation by the automobile control model accords with the driving habits of the target driver, and the user viscosity is further improved.
Description
Technical Field
The embodiment of the application relates to the technical field of vehicle engineering, in particular to a control method and device of an automobile and a computer storage medium.
Background
With the development of automobile technology, the functions of automobiles are becoming more and more abundant, for example, there are installed therein ADAS (Advanced Driving Assistance System, advanced driving assistance) systems capable of realizing various functions, for example, acquiring traffic environment information based on a sensor, controlling the automobiles at a defined running speed, a fixed time interval, and determining acceleration based on a speed difference between the automobiles and a target object, and controlling the automobiles by the acceleration.
However, when a driver drives an automobile, the requirement for the time interval is changed in real time, and the acceleration determined by the speed difference between the automobile and the target object is sometimes not the acceleration required by the driver, so that the function realized by the ADAS system is different from the expected value of the driver, the user experience is reduced, and the user viscosity is further reduced.
Disclosure of Invention
The embodiment of the application provides a control method and device for an automobile and a computer storage medium, which can be used for solving the problem that the viscosity of a user is low because the control effect on the automobile is not as good as the user expectation in the related technology.
The technical scheme is as follows:
in one aspect, a control method of an automobile is provided, the method including:
acquiring driver information of a target driver driving an automobile, and environment information of the automobile and running information of the automobile;
acquiring a corresponding automobile control model according to the driver information of the target driver, wherein the automobile control model is a model describing driving habits of the target driver in different driving environments;
and controlling the automobile through the automobile control model according to the environment information and the running information.
In some embodiments, the obtaining a corresponding automobile control model according to the driver information of the target driver includes:
according to the driver information of the target driver, identity authentication is carried out on the target driver;
and after the identity authentication of the target driver is passed, acquiring an automobile control model corresponding to the driver information of the target driver.
In some embodiments, the authenticating the target driver according to the driver information of the target driver includes:
comparing the driver information of the target driver with the driver information of a reference driver, wherein the reference driver is stored driver information of any driver;
and when the driver information of the reference driver is matched with the driver information of the target driver, determining that the target driver passes identity authentication.
In some embodiments, after the identity authentication of the target driver according to the driver information of the target driver, the method further includes:
when the driver information of the reference driver is not matched with the driver information of the target driver, acquiring a default control model;
and controlling the automobile through a default control model.
In some embodiments, after the controlling the automobile by the default control model, the method further comprises:
detecting a control operation of the target driver on the automobile;
storing driver information of the target driver, the environment information, and running information of the automobile, and control operations of the automobile by the target driver;
and processing the control operation of the automobile, the environmental information and the running information of the automobile according to the target driver to generate an automobile control model corresponding to the target driver so as to be convenient for the next control of the automobile.
In another aspect, there is provided a control device of an automobile, the device including:
the first acquisition module is used for acquiring driver information of a target driver driving the automobile, and environment information of the automobile and running information of the automobile;
the second acquisition module is used for acquiring a corresponding automobile control model according to the driver information of the target driver, wherein the automobile control model is a model describing driving habits of the target driver in different driving environments;
and the control module is used for controlling the automobile through the automobile control model according to the environment information and the running information.
In some embodiments, the second acquisition module comprises:
the authentication sub-module is used for carrying out identity authentication on the target driver according to the driver information of the target driver;
and the first acquisition sub-module is used for acquiring an automobile control model corresponding to the driver information of the target driver after the identity authentication of the target driver is passed.
In some embodiments, the authentication submodule is to:
comparing the driver information of the target driver with the driver information of a reference driver, wherein the reference driver is stored driver information of any driver;
and when the driver information of the reference driver is matched with the driver information of the target driver, determining that the target driver passes identity authentication.
In some embodiments, the second acquisition module further comprises:
a second obtaining sub-module, configured to obtain a default control model when the driver information of the reference driver does not match the driver information of the target driver;
and the control sub-module is used for controlling the automobile through a default control model.
In some embodiments, the second acquisition module further comprises:
the detection sub-module is used for detecting the control operation of the target driver on the automobile;
the storage sub-module is used for storing the driver information of the target driver, the environment information, the running information of the automobile and the control operation of the target driver on the automobile;
and the generation sub-module is used for processing the control operation of the automobile, the environmental information and the running information of the automobile according to the target driver and generating an automobile control model corresponding to the target driver so as to be convenient for the next control of the automobile.
In another aspect, a computer readable storage medium having instructions stored thereon, which when executed by a processor, implement any of the steps of the method of controlling an automobile described above is provided.
The technical scheme provided by the embodiment of the application has the beneficial effects that at least:
in the embodiment of the application, the corresponding automobile control model can be acquired through the driver information of the target driver, and the automobile control model corresponding to the target driver can describe the driving habits of the target driver in different driving environments, so that when the automobile is controlled through the automobile control model, the control operation of the automobile is carried out to conform to the driving habits of the target driver, and the user viscosity is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a control method of an automobile provided by an embodiment of the application;
FIG. 2 is a flowchart of another method for controlling an automobile according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a control device of an automobile according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a second obtaining module according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of another second acquisition module according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of another second acquisition module according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the following detailed description of the embodiments of the present application will be given with reference to the accompanying drawings.
Before explaining a control method of an automobile in detail provided by the embodiment of the application, an application scenario provided by the embodiment of the application is explained.
Because the ADAS system can greatly improve the safety of automobiles and roads, and is greatly beneficial to the aspects of user driving experience, driving comfort, driving fatigue relief and the like, the ADAS system is rapidly developed in recent years, and the allocation rate of the ADAS system in automobiles is improved year by year.
At present, when the longitudinal control function of the ADAS system is realized, the traffic environment can be acquired based on the sensing sensor, the automobile can be controlled at a limited speed and a fixed time interval, and the acceleration can be calculated based on different speed differences to control the automobile. However, when a driver drives an automobile, the requirement for the time interval is changed in real time, and the acceleration determined by the speed difference between the automobile and the target object is sometimes not the acceleration required by the driver, so that the function realized by the ADAS system is different from the expected value of the driver, the user experience is reduced, and the user viscosity is further reduced.
Based on the application scene, the embodiment of the application provides a control method of an automobile, which can adaptively adjust time interval and acceleration so as to improve user viscosity.
Fig. 1 is a flowchart of a control method of an automobile, which is provided by an embodiment of the present application, and the control method of an automobile may include the following steps:
step 101: driver information of a target driver driving the automobile is obtained, and environment information of the automobile and running information of the automobile are obtained.
Step 102: and acquiring a corresponding automobile control model according to the driver information of the target driver, wherein the automobile control model is a model for describing driving habits of the target driver in different driving environments.
Step 103: and controlling the automobile through the automobile control model according to the environment information and the running information.
In the embodiment of the application, the corresponding automobile control model can be acquired through the driver information of the target driver, and the automobile control model corresponding to the target driver can describe the driving habits of the target driver in different driving environments, so that when the automobile is controlled through the automobile control model, the control operation of the automobile is carried out to conform to the driving habits of the target driver, and the user viscosity is improved.
In some embodiments, obtaining a corresponding automobile control model according to the driver information of the target driver includes:
according to the driver information of the target driver, identity authentication is carried out on the target driver;
and after the identity authentication of the target driver is passed, acquiring an automobile control model corresponding to the driver information of the target driver.
In some embodiments, authenticating the target driver based on driver information of the target driver includes:
comparing the driver information of the target driver with the driver information of a reference driver, which is the stored driver information of any one driver;
when the driver information of the reference driver matches the driver information of the target driver, it is determined that the target driver passes the authentication.
In some embodiments, after the identity authentication of the target driver according to the driver information of the target driver, the method further includes:
when the driver information of the reference driver is not matched with the driver information of the target driver, acquiring a default control model;
and controlling the automobile through a default control model.
In some embodiments, after the controlling the automobile by the default control model, the method further comprises:
detecting a control operation of the target driver on the automobile;
storing driver information of the target driver, the environment information and running information of the automobile, and controlling operation of the automobile by the target driver;
and processing the control operation of the automobile, the environmental information and the running information of the automobile according to the target driver, and generating an automobile control model corresponding to the target driver so as to be convenient for the next time of controlling the automobile.
All the above optional technical solutions may be combined according to any choice to form an optional embodiment of the present application, and the embodiments of the present application will not be described in detail.
Fig. 2 is a flowchart of a control method of an automobile, which is provided in an embodiment of the present application, and the control method of the automobile is applied to the automobile for illustration, and the control method of the automobile may include the following steps:
step 201: the automobile acquires driver information of a target driver driving the automobile, and environment information in which the automobile is currently located and running information of the automobile.
The driver state monitoring system, the multifunctional camera FCM, the ADAS system, the high-precision map system, the rotation angle sensor, and the like can be installed in the automobile, so that the automobile can acquire driver information of a target driver through the driver state monitoring system, acquire environment information through the multifunctional camera and the ADAS system or the high-precision map system, and acquire operation information of the automobile through the rotation angle sensor, and the like.
As one example, the operation of the automobile to obtain target driver information through the driver state monitoring system can include: the method comprises the steps that image acquisition is carried out on the position of a driver through a camera installed in an automobile, so that a driver image including a target driver is obtained; and carrying out face recognition on the driver image to obtain the face characteristics of the target driver, wherein the face characteristics are the driver information of the target driver.
It should be noted that, the operation of the car to perform face recognition on the driver image to obtain the face feature of the target driver can refer to the related technology, and the embodiment of the application will not be described in detail.
As an example, the vehicle may also be able to obtain the driver information of the target driver in other manners, for example, the target driver may be able to actively perform driver identity entry to the driver status monitoring system through the IHU (Infotainment Head Unit, infotainment host), i.e. input driver identity information such as a driver identity into the driver status detection system.
It should be noted that the environmental information can include lane lines, lanes where the vehicle is currently located, and road participants (including but not limited to other vehicles) in lanes adjacent to the current lane, road identifications, obstacles, illuminance, traffic light information, and the like. The driver information can target the driver's face characteristics, driver identification, and so forth. The driver identification can be made up of at least one of letters, numbers, symbols, etc.
As an example, an automobile can acquire environmental visual data of an automobile driving environment through a multifunctional camera, and perform image recognition according to the environmental visual data, so as to obtain environmental information such as lane lines, obstacles, road marks and the like.
As an example, the automobile can acquire road feature information and road traffic condition information of the current position of the automobile through an ADAS map in the ADAS system or a high-precision map in the high-precision map system.
As an example, the automobile can acquire the rotation angle and rotation angle rate of the automobile through the rotation angle sensor, and acquire running information such as the running speed, the braking signal, the braking force and the like of the automobile through other sensors.
In some embodiments, after the vehicle obtains the driver information of the target driver, the environmental information in which the vehicle is currently located, and the operation information of the vehicle, the vehicle can send the obtained driver information, environmental information, and operation information to an ADAS controller in the vehicle.
Step 202: and the automobile acquires a corresponding automobile control model according to the driver information of the target driver.
The automobile control model is a model describing driving habits of a target driver in different driving environments.
Because different drivers have different driving habits in different driving environments, in order to enable the control of the automobile to be more in line with the driving habits of the drivers, the automobile can acquire a corresponding automobile control model according to the driver information of the target driver.
As one example, the operation of the automobile to acquire the corresponding automobile control model according to the driver information of the target driver at least includes: according to the driver information of the target driver, identity authentication is carried out on the target driver; and after the identity authentication of the target driver is passed, acquiring an automobile control model corresponding to the driver information of the target driver.
Since the target driver driving the vehicle may be a driver driving the vehicle for a long time or may be a driver driving the vehicle temporarily, if the driver driving the vehicle for a long time, there is a vehicle control model in the vehicle describing driving habits of the target driver in different driving environments, and if the driver is a temporary driver, the vehicle may not be able to acquire the corresponding vehicle control model. Therefore, in order to accurately control the vehicle, the vehicle needs to authenticate the identity of the target driver based on the driver information of the target driver.
As one example, the operation of the automobile to authenticate the identity of the target driver based on the driver information of the target driver includes at least: comparing the driver information of the target driver with the driver information of a reference driver, which is the stored driver information of any one driver; when the driver information of the reference driver matches the driver information of the target driver, it is determined that the target driver passes the authentication.
From the above, the driver information may be the face feature of the target driver or the identity of the driver, and when the types of the driver information are different, the manner in which the vehicle determines whether the driver information of the reference driver is matched with the driver information of the target driver is different.
In some embodiments, when the driver information is a face feature, determining that the driver information of the target driver matches the driver information of the reference driver if a similarity between the face feature of the target driver and the face feature of the reference driver is greater than or equal to a similarity threshold; if the similarity between the face features of the target driver and the face features of the reference driver is smaller than a similarity threshold, determining that the driver information of the target driver is not matched with the driver information of the reference driver, and determining that the target driver fails identity authentication.
It should be noted that, the similarity threshold value can be set in advance according to the requirement, for example, the similarity threshold value can be 99%, 95%, 90%, or the like.
In some embodiments, when the driver information is the driver identity, determining that the driver information of the reference driver matches the driver information of the target driver if the driver identity of the target driver is the same as the driver identity of the reference driver; if the driver identity of the target driver is different from the driver identity of the reference driver, that is, if the stored driver information does not have the same information as the driver information of the target driver, the driver information of the reference driver is determined to be not matched with the driver information of the target driver, and the target driver is determined to not pass the identity authentication.
In some embodiments, when the identity of the target driver passes, the operation of the vehicle to obtain the vehicle control model corresponding to the driver information of the target driver at least includes: and acquiring a corresponding automobile control model from the corresponding relation between the driver information and the automobile control model according to the driver information of the target driver.
The automobile control model corresponding to the driver information of the target driver may be obtained in advance through deep learning training. Namely, the ADAS controller of the automobile can acquire environmental information of a target driver in different driving environments and running information of the automobile in advance, and time intervals and accelerations of the driver for controlling the automobile in the current driving direction, and continuously perform deep learning according to the acquired environmental information of the target driver in different driving environments and the running information of the automobile, and the time intervals and accelerations of the driver for controlling the automobile in the current driving direction and a target object (possibly also the automobile) in the current driving direction, so as to obtain an automobile control model corresponding to the driver information of the target driver.
It should be noted that, according to the operation of obtaining the environmental information of the target driver in different driving environments and the running information of the vehicle, and continuously performing deep learning on the time interval and the acceleration of the driver for controlling the vehicle and the vehicle in the current driving direction, the related technology can be referred to, which is not described in detail in the embodiment of the present application.
As can be seen from the above, the target driver may be a driver who temporarily drives the vehicle, and thus, there is no vehicle control model in the vehicle that describes driving habits of the target driver in different driving environments, and thus, the vehicle can be controlled directly by the default control model.
In some embodiments, a default control model is obtained when the driver information of the reference driver does not match the driver information of the target driver; and controlling the automobile through a default control model.
It should be noted that the default control model is a model stored in advance according to requirements, and the default control model can output a fixed time interval and determine acceleration according to a speed difference between the automobile and the target object.
In some embodiments, after the automobile controls the automobile through the default control model, the control operation of the target driver on the automobile can also be detected; storing driver information, environment information and running information of the automobile of a target driver and controlling operation of the automobile by the target driver; and processing the control operation of the automobile according to the target driver, and generating an automobile control model corresponding to the target driver so as to be convenient for the next automobile control.
Because the temporary driver may become a driver driving the automobile for a long time, and the temporary driver may perform other control on the automobile due to dissatisfaction with the time interval and the acceleration output by the default control model, in order to improve the viscosity of the user, the automobile may store the driver information of the target driver and the control operation of the target driver on the automobile, and process the control operation, the environmental information and the running information of the automobile according to the target driver, so as to generate an automobile control model corresponding to the target driver, so as to be convenient for the next use in controlling the automobile.
In some embodiments, because the temporary driver may not drive the vehicle any more later, in order to save the storage space, when the target driver is the temporary driver and the duration in which the vehicle stores the driver information of the target driver reaches the duration threshold, the stored driver information of the target driver, the environment information, the running information of the vehicle, and the control operation of the vehicle by the target driver are deleted.
It should be noted that the duration threshold value can be set in advance according to the requirement, for example, the duration threshold value can be 7 days, 14 days, 30 days, or the like.
Since the automobile can send the acquired driver information, environment information and operation information to the ADAS controller in the automobile, the above-described operation of acquiring the corresponding automobile control model according to the driver information of the target driver can be realized by the ADAS controller of the automobile.
Step 203: and the automobile controls the automobile through the automobile control model according to the environment information and the running information.
As an example, the car can take the environmental information and the operation information as inputs of the car control model, so that the car control model processes the environmental information and the operation information and outputs the corresponding time interval and acceleration, and the car controls the car through the time interval and the acceleration output by the car control model.
Because the automobile control model is obtained through deep learning training through environment information, running information, driver information and operation information of the driver on the automobile, the automobile control model can output corresponding time intervals and accelerations after the environment information and the running information are used as input of the automobile control model.
The automobile can be controlled by the ADAS controller according to the environmental information and the operation information through the automobile control model.
In the embodiment of the application, the automobile can acquire the corresponding automobile control model through the driver information of the target driver, and the automobile control model corresponding to the target driver can describe the driving habits of the target driver in different driving environments, so that when the automobile is controlled through the automobile control model according to the current environment information and the running information of the automobile, the control operation of the automobile is carried out according with the driving habits of the target driver, thereby improving the viscosity of a user.
Fig. 3 is a schematic structural diagram of a control device for an automobile according to an embodiment of the present application, where the control device for an automobile may be implemented by software, hardware, or a combination of both. The control device of the automobile may include: a first acquisition module 301, a second acquisition module 302, and a control module 303.
The first obtaining module 301 is configured to obtain driver information of a target driver driving the automobile, and environmental information where the automobile is currently located and operation information of the automobile;
the second obtaining module 302 is configured to obtain a corresponding automobile control model according to the driver information of the target driver, where the automobile control model is a model describing driving habits of the target driver in different driving environments;
and the control module 303 is configured to control the automobile through the automobile control model according to the environmental information and the operation information.
In some embodiments, referring to fig. 4, the second obtaining module 302 includes:
an authentication submodule 3021, configured to perform identity authentication on the target driver according to driver information of the target driver;
and the first obtaining submodule 3022 is used for obtaining the automobile control model corresponding to the driver information of the target driver after the identity authentication of the target driver is passed.
In some embodiments, the authentication submodule 3021 is configured to:
comparing the driver information of the target driver with the driver information of a reference driver, wherein the reference driver is stored driver information of any driver;
and when the driver information of the reference driver is matched with the driver information of the target driver, determining that the target driver passes identity authentication.
In some embodiments, referring to fig. 5, the second obtaining module 302 further includes:
a second acquisition submodule 3023 for acquiring a default control model when the driver information of the reference driver does not match the driver information of the target driver;
a control submodule 3024 for controlling the car by means of a default control model.
In some embodiments, referring to fig. 6, the second obtaining module 302 further includes:
a detection sub-module 3025 for detecting a control operation of the vehicle by the target driver;
a storage submodule 3026 for storing driver information of the target driver, the environmental information, and the running information of the automobile, and control operations of the automobile by the target driver;
and the generation submodule 3027 is used for processing the control operation of the automobile, the environmental information and the running information of the automobile according to the target driver and generating an automobile control model corresponding to the target driver so as to be convenient for the next time of controlling the automobile.
In the embodiment of the application, the automobile can acquire the corresponding automobile control model through the driver information of the target driver, and the automobile control model corresponding to the target driver can describe the driving habits of the target driver in different driving environments, so that when the automobile is controlled through the automobile control model according to the current environment information and the running information of the automobile, the control operation of the automobile is carried out according with the driving habits of the target driver, thereby improving the viscosity of a user.
It should be noted that: in the control device for controlling an automobile provided in the above embodiment, only the above division of each functional module is used for illustration, and in practical application, the above functional allocation may be performed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules, so as to perform all or part of the functions described above. In addition, the control device of the automobile provided in the above embodiment and the control method embodiment of the automobile belong to the same concept, and the specific implementation process of the control device is detailed in the method embodiment, which is not repeated here.
The embodiment of the application also provides a non-transitory computer readable storage medium, which when executed by a processor of a terminal, enables the terminal to execute the control method of the automobile provided in the above embodiment.
The embodiment of the application also provides a computer program product containing instructions, which when run on a terminal, cause the terminal to execute the automobile control method provided by the embodiment.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program for instructing relevant hardware, where the program may be stored in a computer readable storage medium, and the storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The foregoing description of the preferred embodiments of the present application is not intended to limit the embodiments of the present application, but is intended to cover any modifications, equivalents, improvements or alternatives falling within the spirit and principles of the embodiments of the present application.
Claims (9)
1. A control method of an automobile, characterized by comprising:
acquiring driver information of a target driver driving an automobile, and environment information of the automobile and running information of the automobile, wherein the target driver comprises a driver driving the automobile for a long time and a driver driving the automobile temporarily;
if the target driver is a driver driving the automobile for a long time, acquiring a corresponding automobile control model according to the driver information of the target driver, wherein the automobile control model is a model describing driving habits of the target driver in different driving environments;
according to the environment information and the running information, controlling the automobile through the automobile control model;
if the target driver is a driver temporarily driving the automobile, controlling the automobile through a default control model; detecting a control operation of the target driver on the automobile; storing driver information of the target driver, the environment information, and running information of the automobile, and control operations of the automobile by the target driver; according to the control operation of the automobile, the environmental information and the running information of the automobile, the target driver processes the control operation, the environmental information and the running information of the automobile to generate an automobile control model corresponding to the target driver so as to be convenient for the next time of controlling the automobile; when the duration of the automobile storing the driver information of the target driver reaches a duration threshold, deleting the stored driver information, environment information and running information of the automobile of the target driver and the control operation of the target driver on the automobile.
2. The method of claim 1, wherein the obtaining a corresponding vehicle control model based on the driver information of the target driver comprises:
according to the driver information of the target driver, identity authentication is carried out on the target driver;
and after the identity authentication of the target driver is passed, acquiring an automobile control model corresponding to the driver information of the target driver.
3. The method of claim 2, wherein the authenticating the target driver based on the driver information of the target driver comprises:
comparing the driver information of the target driver with the driver information of a reference driver, wherein the reference driver is stored driver information of any driver;
and when the driver information of the reference driver is matched with the driver information of the target driver, determining that the target driver passes identity authentication.
4. The method of claim 3, wherein said authenticating said target driver based on said driver information of said target driver further comprises:
when the driver information of the reference driver is not matched with the driver information of the target driver, acquiring a default control model;
and controlling the automobile through a default control model.
5. A control device for an automobile, the device comprising:
the first acquisition module is used for acquiring driver information of a target driver for driving the automobile, and environment information of the automobile and running information of the automobile, wherein the target driver comprises a driver for driving the automobile for a long time and a driver for temporarily driving the automobile;
the second acquisition module is used for acquiring a corresponding automobile control model according to the driver information of the target driver if the target driver is a driver driving the automobile for a long time, wherein the automobile control model is a model describing driving habits of the target driver in different driving environments;
the control module is used for controlling the automobile through the automobile control model according to the environment information and the running information;
the second obtaining module is further configured to control the automobile through a default control model if the target driver is a driver that temporarily drives the automobile; detecting a control operation of the target driver on the automobile; storing driver information of the target driver, the environment information, and running information of the automobile, and control operations of the automobile by the target driver; according to the control operation of the automobile, the environmental information and the running information of the automobile, the target driver processes the control operation, the environmental information and the running information of the automobile to generate an automobile control model corresponding to the target driver so as to be convenient for the next time of controlling the automobile; when the duration of the automobile storing the driver information of the target driver reaches a duration threshold, deleting the stored driver information, environment information and running information of the automobile of the target driver and the control operation of the target driver on the automobile.
6. The apparatus of claim 5, wherein the second acquisition module comprises:
the authentication sub-module is used for carrying out identity authentication on the target driver according to the driver information of the target driver;
and the first acquisition sub-module is used for acquiring an automobile control model corresponding to the driver information of the target driver after the identity authentication of the target driver is passed.
7. The apparatus of claim 6, wherein the authentication sub-module is to:
comparing the driver information of the target driver with the driver information of a reference driver, wherein the reference driver is stored driver information of any driver;
and when the driver information of the reference driver is matched with the driver information of the target driver, determining that the target driver passes identity authentication.
8. The apparatus of claim 7, wherein the second acquisition module further comprises:
a second obtaining sub-module, configured to obtain a default control model when the driver information of the reference driver does not match the driver information of the target driver;
and the control sub-module is used for controlling the automobile through a default control model.
9. A computer readable storage medium having stored thereon instructions which, when executed by a processor, implement the steps of the method of any of the preceding claims 1 to 4.
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