CN111583444A - Vehicle driving parameter configuration method and device - Google Patents
Vehicle driving parameter configuration method and device Download PDFInfo
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- CN111583444A CN111583444A CN202010242479.5A CN202010242479A CN111583444A CN 111583444 A CN111583444 A CN 111583444A CN 202010242479 A CN202010242479 A CN 202010242479A CN 111583444 A CN111583444 A CN 111583444A
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- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
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Abstract
The invention provides a vehicle driving parameter configuration method and device. The driving parameter configuration method comprises the following steps: receiving account information, wherein the account information comprises user identification information, a vehicle type used this time and a vehicle type used last time, if the vehicle type used this time is different from the vehicle type used last time, generating a first driving parameter of the vehicle type used this time according to the vehicle type used last time, converting a second driving parameter corresponding to the vehicle type used last time into a first driving parameter corresponding to the vehicle type used this time based on the structural difference between the vehicle type used last time and the vehicle type used this time, receiving correction information, adjusting the first driving parameter according to the correction information, and storing the adjusted first driving parameter into a database. The driving parameter configuration method provided by the invention automatically generates the driving parameters required by the current driving vehicle type in a coordinate conversion mode according to the driving parameters of the vehicle type used by the user last time, and when the driving vehicle type is changed by the user, the physical characteristic data does not need to be input again, so that the degree of automation is high.
Description
Technical Field
The embodiment of the invention relates to the automobile engineering technology, in particular to a vehicle driving parameter configuration method and device.
Background
Since the configuration of the driving parameters is related to the driving comfort and the driving safety, it is necessary to adjust the seat and the like to a position suitable for the seat before driving.
With the development of technology, many vehicle models are provided with a position memory function, that is, the vehicle can locally record several sets of driving parameters (seat, rearview mirror position, etc.) for different drivers to call out. At present, the quantity of recorded data of the vehicle is limited (generally not more than 3 groups) by adopting the scheme, and the memory position can only exist in the local part of the vehicle, so that the user requirements can not be met under the use scenes that more users use one vehicle and share the vehicle. Meanwhile, the scheme requires that a driver inputs data such as height, weight, arm length, leg length and the like on the vehicle and binds the data with personal ID, input parameters are more, and the burden of the user is high. In addition, when a user uses vehicles of different models from the same manufacturer or the same shared trip platform, the user needs to perform one or more parameter configurations for each vehicle type, which is poor in convenience.
Disclosure of Invention
The invention provides a vehicle driving parameter configuration method and device, which can automatically generate driving parameters required by driving according to configuration parameters input by a user and aiming at other vehicle types when the user drives different vehicle types, and has the advantages of high automation degree and convenience in use.
In a first aspect, an embodiment of the present invention provides a vehicle driving parameter configuration method, including:
receiving account information, wherein the account information comprises user identification information, a vehicle type used this time and a vehicle type used last time,
if the vehicle type used this time is different from the vehicle type used last time, generating a first driving parameter of the vehicle type used this time according to the vehicle type used last time, wherein the method comprises the steps of converting a second driving parameter corresponding to the vehicle type used last time into the first driving parameter corresponding to the vehicle type used this time based on the structural difference between the vehicle type used last time and the vehicle type used this time,
receiving correction information, adjusting the first driving parameter according to the correction information, and storing the adjusted first driving parameter into a database.
Further, the method also comprises the step of generating and sending recommended driving parameters according to the data stored in the database.
Further, the first driving parameter, the second driving parameter and the recommended driving parameter comprise a seat position, a steering column position, a rearview mirror position and a head-up display position.
Further, the correction information includes driving parameters manually configured by the driver. .
In a second aspect, an embodiment of the present invention further provides a vehicle driving parameter configuration apparatus, including a server, where the server includes a recommendation module,
the recommending module is used for receiving account information, the account information comprises user identification information, a vehicle type used this time and a vehicle type used last time,
if the vehicle type used this time is different from the vehicle type used last time, the recommendation module generates a first driving parameter of the vehicle type used this time according to the vehicle type used last time, and the method comprises the steps of converting a second driving parameter corresponding to the vehicle type used last time into the first driving parameter corresponding to the vehicle type used this time based on the structural difference between the vehicle type used last time and the vehicle type used this time,
the recommendation module is further used for receiving correction information, adjusting the first driving parameter according to the correction information, and storing the adjusted first driving parameter into a database.
Further, the recommending module is also used for generating and sending recommended driving parameters according to the data stored in the database.
Further, the server also comprises an account management module,
the account management module is used for receiving a driving parameter configuration request, the driving parameter configuration request comprises user identification information and the vehicle type used this time,
the account management module inquires historical vehicle type information corresponding to the user identification information, and if the vehicle type used this time is different from the vehicle type used last time, a first parameter configuration request is generated and sent.
Further, if the vehicle type used this time is the same as the vehicle type used last time, a first parameter configuration request is generated and sent.
Further, if the historical vehicle type information does not exist, a second parameter configuration request is generated and sent.
Further, the account management module is also used for receiving and storing driving parameters manually configured by a driver.
Compared with the prior art, the invention has the beneficial effects that: the driving parameter configuration method provided by the invention automatically generates the driving parameters required by the current driving vehicle type in a coordinate conversion mode according to the driving parameters of the vehicle type used by the user last time, when the driving vehicle type is changed by the user, the physical characteristic data does not need to be input again, and meanwhile, the seat position, the steering column position and other operation devices can be automatically adjusted to proper positions so as to meet the use requirements of the current driver.
Drawings
FIG. 1 is a flow chart of a driving parameter configuration method according to a first embodiment;
fig. 2 is a block diagram showing the configuration of a driving parameter configuration device according to a second embodiment;
fig. 3 is a flowchart of the operation of the driving parameter configuration device according to the second embodiment.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
The present embodiment is applicable to the case of automatic configuration of driving parameters of an automobile, where the method may be executed by a driving parameter configuration device, where the device may be implemented in a software manner, and the device may be configured in a terminal device, where a typical terminal device includes a server, fig. 1 is a flowchart of a driving parameter configuration method in the first embodiment, and referring to fig. 1, the parameter configuration method includes:
s1, receiving account information.
For example, when the parameter configuration is performed in this step, account information is first received, where the account information includes user identification information, a vehicle type used this time, and a vehicle type used last time. The user identification information and the vehicle type used this time are information input by the driver. Taking a shared automobile as an example, a user can input a user name through an APP provided by a shared automobile brand, namely, the user identification information is used for account login, and after the login is successful, the vehicle type of the rented vehicle is selected. The last used vehicle type obtaining mode is that a service terminal corresponding to the APP inquires historical rental data under the account, and if the historical rental data exist, the latest used vehicle type data are obtained from the historical rental data.
For example, a driver may also log in an account through a human-computer interaction system configured on the vehicle, and after the login is successful, the server obtains a vehicle type of the vehicle used this time, for example, obtains the vehicle type of the vehicle used this time through a frame number sent by the vehicle, and then obtains vehicle type data used last time through a history vehicle use record corresponding to the account.
And S2, generating driving parameters according to the account information.
Specifically, in this step, if the vehicle type used this time is different from the vehicle type used last time, the first driving parameter of the vehicle type used this time is generated according to the vehicle type used last time, and the second driving parameter corresponding to the vehicle type used last time is converted into the first driving parameter corresponding to the vehicle type used this time based on the structural difference between the vehicle type used last time and the vehicle type used this time.
In this step, the first driving parameter and the second driving parameter include the same type of parameter, and for example, the driving parameter includes a seat position, a steering column position, a rearview mirror position, a head-up display position, and the like.
Structural design parameters of different vehicle types, such as main driving position space geometric parameters, seat positions, windshield geometric parameters and the like, are greatly different, so that the driving parameter configuration mode of each vehicle type is different according to the physical and physical characteristics of the same user. The purpose of the driving parameter adjustment is to enable the user to be in a proper driving posture, so that the final driving posture of a driver in the vehicle can not be greatly different for the same user even if the models of the driving vehicles are different. Based on the above, in this step, the vehicle type used this time, the design parameters of the vehicle type used last time, and the final driving posture of the driver corresponding to the vehicle type used last time are projected in the same coordinate system, and in this coordinate system, based on the final posture of the driver corresponding to the vehicle type used last time and the relative position of the driving posture of the driver and key operation devices such as a dashboard, a steering wheel, or an accelerator pedal in the vehicle type used last time, the position parameters that need to be adjusted when the driver is in the similar driving posture and the relative position with the key operation devices in the vehicle type used this time are calculated, and then the driving parameters for the vehicle type used this time are generated. And when the vehicle receives the driving parameters, adjusting the seat position, the steering column position, the rearview mirror position or the head-up display position according to the driving parameters.
In the present embodiment, the vehicle is required to be provided with a sensor for measuring the position or displacement of the operating device, and illustratively, the seat is provided with a motor and an encoder for adjusting the front-rear, up-down position of the seat as a whole, and a motor and an encoder for adjusting the inclination angle of the seat back, taking the seat as an example. And taking the initial position of the seat measured by the encoder as an initial value for calculating the driving parameters of the vehicle type used at this time, and taking the measured value of the encoder during seat adjustment as a feedback value to judge whether the position of the target seat is adjusted.
And S3, receiving the correction information, and adjusting the driving parameters according to the correction information.
Specifically, the correction information is received, the first driving parameter is adjusted according to the correction information, and the adjusted first driving parameter is stored in the database. Wherein the correction information comprises driving parameters manually configured by the driver. For example, when the driver is in the same driving posture relative to other vehicle types, the driver may manually configure the driving parameters under the influence of subjective feeling, or the driver has special driving habits for the current vehicle type, at this time, the parameter data manually adjusted by the driver is used as the correction information, the first driving parameter is adjusted by using the correction information, and then the adjusted first driving parameter is stored in the database. For example, the seat position, the steering column position, the mirror position, or the head-up display position after the driver manually configures the driving parameters may be measured, and the positions of the above-mentioned components may be used as the final first driving parameters. Illustratively, the driving parameters of the vehicle type used this time are stored in the database as the historical data of the vehicle used by the user.
In this embodiment, the driving parameter configuration method automatically generates the driving parameters required by the current driving vehicle type in a coordinate conversion manner according to the driving parameters of the vehicle type used by the user last time, and when the driving vehicle type is changed by the user, the user does not need to input the physical and feature data again, and can automatically adjust the seat position, the steering column position and other operation devices to appropriate positions, so as to meet the use requirements of the current driver. If the user has special driving preference for a certain vehicle type, the parameter configuration method can record the driving parameters manually configured by the driver, so that the driving parameters can be adjusted according to the preference of the user when the user uses the same vehicle type next time, and the driving parameters can meet the real requirements of the driver.
Preferably, in this embodiment, the driving parameter configuration method further includes generating and sending recommended driving parameters according to data stored in the database.
For example, if there is no history data under the user account, the recommended driving parameters may be generated through big data or machine learning by using the driving parameter configuration data of other users of the same vehicle type stored in the database. Illustratively, one or more neural networks and training rules corresponding to the neural networks, such as Hebb learning rules, LMS learning rules, corrlation learning rules, etc., may be configured in the service terminal. And generating driving parameters of the current user and the current vehicle type by training a neural network model based on the driving parameter configuration data of other users in the database. And if the seat position, the steering column position, the rearview mirror position or the head-up display position are adjusted by adopting the recommended driving parameters, and the driver manually configures the driving parameters again, adding the driving parameters manually configured by the driver into the model training data set of the neural network, and retraining the neural network again to optimize the neural network model. For example, the neural network generates recommended driving parameters for the current driver by using a vehicle model, a driver height and a driver leg length as model inputs and using a seat position (including a seat height, a seat front-back position) and a pedal height as outputs. In this embodiment, the specific form of the neural network model is not limited, wherein learnable parameters and weights of the neural network model are set according to actual requirements, and the training mode of the neural network model is the same as the basic training process, including iterative computation of the input data set; processing input data through a multi-layer network structure of a neural network model; calculating a loss value; the weight matrix is adjusted according to the loss value.
As an implementation scheme, for a certain vehicle type, a set of initial driving parameters may also be configured in the service terminal, and if there is no historical data under the account of the user, the initial driving parameters are directly used to adjust the seat position, the steering column position, the rearview mirror position or the head-up display position.
In the embodiment, when the historical data of the user cannot be inquired, the recommended driving parameters are generated by the parameter configuration scheme according to the physical characteristics of the user and the currently used vehicle type by adopting the neural network model, so that the generated driving parameters can be close to the real requirements of drivers when no historical reference data exists.
Example two
Fig. 2 is a block diagram of a driving parameter configuration device according to a second embodiment, and referring to fig. 2, the present embodiment provides a vehicle driving parameter configuration device, which includes a server including a recommendation module 200. The recommending module 200 is used for executing the driving parameter configuring method described in the first embodiment.
Specifically, the recommendation module 200 is configured to:
receiving account information, wherein the account information comprises user identification information, a vehicle type used this time and a vehicle type used last time; if the vehicle type used this time is different from the vehicle type used last time, the recommendation module 200 generates a first driving parameter of the vehicle type used this time according to the vehicle type used last time, including converting a second driving parameter corresponding to the vehicle type used last time into the first driving parameter corresponding to the vehicle type used this time based on the structural difference between the vehicle type used last time and the vehicle type used this time; and receiving the correction information, adjusting the first driving parameter according to the correction information, and storing the adjusted first driving parameter into a database.
The recommendation module 200 is further configured to generate and send recommended driving parameters according to the data stored in the database 300.
The server further comprises an account management module 100, wherein the account management module 100 is used for receiving a driving parameter configuration request, the driving parameter configuration request comprises user identification information and a vehicle type used this time, the account management module 100 inquires historical vehicle type information corresponding to the user identification information, if the vehicle type used this time is different from the vehicle type used last time, a first parameter configuration request is generated and sent, if the vehicle type used this time is the same as the vehicle type used last time, the first parameter configuration request is generated and sent, and if no historical vehicle type information exists, a second parameter configuration request is generated and sent.
Fig. 3 is a flowchart of a driving parameter configuration apparatus according to a second embodiment, and referring to fig. 3, specifically, a vehicle is in communication connection with a server including an account management module 100, a recommendation module 200, and a database 300, and an interaction process of the driving parameter configuration apparatus and the vehicle is as follows:
step 101, a user enters a vehicle and logs in an account.
In this step, the user may log in an account through a mobile phone APP or a human-computer interaction system configured on the vehicle.
And 102, the vehicle inquires whether the local storage device stores the historical driving parameter configuration record of the current driver, if so, the vehicle calls the local storage record, the local storage record is used as the current driving parameter configuration data to adjust the seat position, the steering column position, the rearview mirror position or the head-up display position, step 103 is executed, and if not, step 104 is executed.
And 103, judging whether the driver manually adjusts or not by the vehicle, if so, uploading the driving parameters manually adjusted by the driver to a server, storing the driving parameters in a database, and quitting the driving parameter configuration program at the same time, otherwise, directly quitting the driving parameter configuration program.
Specifically, in this step, parameter data manually adjusted by the driver may be used as correction information, the local driving parameters are adjusted by using the correction information, and then the adjusted driving parameters are stored in the database. The position of the seat, the position of the steering column, the position of the rearview mirror or the position of the head-up display after the driver manually configures the driving parameters can be measured, and the positions of the devices can be sent to the server and stored in the database. Accordingly, the vehicle in the present embodiment needs to be provided with a sensor for measuring the position or displacement amount of the operating device.
And 104, the vehicle sends a driving parameter issuing request to the account management module.
In this step, the driving parameter issuing request includes the vehicle type and the account ID information.
And 105, after receiving the driving parameter issuing request, the account management module inquires whether a historical driving parameter configuration record of the vehicle type used this time exists under the current login account from the database, if so, the latest driving parameter is sent to the vehicle, and then the step 103 is executed, and if not, the step 106 is executed.
And 106, the account management module inquires whether historical driving parameter configuration records of other vehicle types exist under the current login account, if not, the step 107 is executed, and if so, the step 108 is executed.
And 107, the account management module sends a recommended driving parameter issuing request (a second parameter configuration request) to the recommending module, wherein the request comprises the vehicle type and the body characteristic parameters used this time, the recommending module generates the recommended driving parameters based on the big data technology and feeds the recommended driving parameters back to the account management module, the recommended driving parameters are issued to the vehicle through the account management module, and finally step 103 is executed.
For example, the recommendation module may configure big data or a machine learning algorithm, and then generate recommended driving parameters through the big data or the machine learning by using driving parameter configuration data of other users of the same type of vehicle stored in the database. Illustratively, one or more neural networks and training rules corresponding to the neural networks, such as Hebb learning rules, LMS learning rules, corrlation learning rules, etc., may be configured in the recommendation module. And generating driving parameters of the current user and the current vehicle type through a neural network model based on the driving parameter configuration data of other users in the database.
Optionally, in this step, a set of initial driving parameters for the current vehicle type may also be configured in the recommendation module, and if there is no historical data under the user account, the seat position, the steering column position, the rearview mirror position, or the head-up display position is adjusted directly by using the initial driving parameters.
And 108, the account management module sends a recommended driving parameter issuing request (a first parameter configuration request) to the recommending module, wherein the request comprises the vehicle type used this time, the vehicle type used last time and body characteristic parameters, the recommending module obtains the driving parameters of the vehicle type this time in a coordinate conversion mode according to the driving parameters of the vehicle type used last time and the vehicle type used last time, feeds the driving parameters back to the account management module, issues the driving parameters to the vehicle through the account management module, and then executes step 103.
Specifically, in this step, the vehicle type used this time, the design parameters of the vehicle type used last time, and the final driving posture of the driver corresponding to the vehicle type used last time are projected in the same coordinate system, and in this coordinate system, based on the final posture of the driver corresponding to the vehicle type used last time and the relative position of the driving posture of the driver and key operation devices such as a dashboard, a steering wheel, or an accelerator pedal in the vehicle type used last time, the position parameters to be adjusted when the driver is in the similar driving posture and the relative position with the key operation devices in the vehicle type used this time are calculated, and the driving parameters for the vehicle type used this time are generated.
As an implementation, the account management module is further configured to receive and store driving parameters manually configured by the driver.
For the same user and the same vehicle type, the driving parameters basically do not change, the data volume is small, and therefore the manually configured driving parameters can be stored in the account management module, when the recommended driving parameters are generated without big data or machine learning technology, the vehicle can directly obtain the driving parameters from the account management module, unnecessary program interaction is avoided, and the automatic configuration execution efficiency of the driving parameters is high.
According to the driving parameter configuration device provided by the embodiment, a user does not need to perform complicated data input operation, the driving parameter configuration device can generate recommended driving parameter data according to user historical data (including driving parameters of the same vehicle type and driving parameters of different vehicle types), and the position of an operation device in the vehicle is automatically adjusted, so that a driver is in a proper driving posture. If the user likes to do manual adjustment, the driving parameter configuration device can calculate the driving parameters of different vehicle types according to the driving parameters manually adjusted by the user, so that the calculated driving parameters are closer to the real requirements of the user.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A vehicle driving parameter configuration method, comprising:
receiving account information, wherein the account information comprises user identification information, a vehicle type used this time and a vehicle type used last time,
if the vehicle type used this time is different from the vehicle type used last time, generating a first driving parameter of the vehicle type used this time according to the vehicle type used last time, wherein the method comprises the steps of converting a second driving parameter corresponding to the vehicle type used last time into the first driving parameter corresponding to the vehicle type used this time based on the structural difference between the vehicle type used last time and the vehicle type used this time,
receiving correction information, adjusting the first driving parameter according to the correction information, and storing the adjusted first driving parameter into a database.
2. The configuration method of claim 1, further comprising generating and transmitting recommended driving parameters based on data stored in the database.
3. The configuration method of claim 1, wherein the first driving parameter, the second driving parameter, and the recommended driving parameter include a seat position, a steering column position, a rear view mirror position, and a heads-up display position.
4. The configuration method according to claim 1, wherein the correction information includes driving parameters manually configured by a driver.
5. A vehicle driving parameter configuration device is characterized by comprising a server, wherein the server comprises a recommendation module,
the recommending module is used for receiving account information, the account information comprises user identification information, a vehicle type used this time and a vehicle type used last time,
if the vehicle type used this time is different from the vehicle type used last time, the recommendation module generates a first driving parameter of the vehicle type used this time according to the vehicle type used last time, and the method comprises the steps of converting a second driving parameter corresponding to the vehicle type used last time into the first driving parameter corresponding to the vehicle type used this time based on the structural difference between the vehicle type used last time and the vehicle type used this time,
the recommendation module is further used for receiving correction information, adjusting the first driving parameter according to the correction information, and storing the adjusted first driving parameter into a database.
6. The configuration device of claim 5, wherein the recommendation module is further configured to generate and send recommended driving parameters based on data stored in the database.
7. The configuration apparatus of claim 5, wherein the server further comprises an account management module,
the account management module is used for receiving a driving parameter configuration request, the driving parameter configuration request comprises user identification information and the vehicle type used this time,
the account management module inquires historical vehicle type information corresponding to the user identification information, and if the vehicle type used this time is different from the vehicle type used last time, a first parameter configuration request is generated and sent.
8. The configuration apparatus according to claim 7, wherein if the vehicle type used this time is the same as the vehicle type used last time, the first parameter configuration request is generated and transmitted.
9. The configuration device of claim 8, wherein if there is no historical vehicle type information, a second parameter configuration request is generated and sent.
10. The configuration arrangement according to claim 7, wherein the account management module is further adapted to receive and store manually configured driving parameters of the driver.
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| CN113848764B (en) * | 2021-09-28 | 2023-08-18 | 东风汽车有限公司东风日产乘用车公司 | Inter-device setting parameter transplanting method, electronic device and storage medium |
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Application publication date: 20200825 |