CN115782794A - Self-adaptive adjusting method and device for vehicle - Google Patents
Self-adaptive adjusting method and device for vehicle Download PDFInfo
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Abstract
The application discloses a self-adaptive adjusting method and a self-adaptive adjusting device for a vehicle, wherein the method comprises the following steps: acquiring the change data of the body type, sitting posture, eyeballs and fixation points of a driver at present; calculating the eye height and the fixation point of the current driver according to the body type, sitting posture, eyeballs and fixation point change data of the driver to generate the current visual field range of the current driver; and comparing the current visual field range with the preset optimal visual field range to obtain a comparison result, acquiring a target adjustment value of at least one visual field adjusting device of the vehicle according to the comparison result, and adjusting the at least one visual field adjusting device according to the target adjustment value until the comparison result reaches a preset condition. The embodiment of the application can acquire the target adjustment value of the visual field adjusting equipment of the vehicle according to the comparison result of the current visual field range and the optimal visual field range of the current driver, automatically adjust the visual field adjusting equipment according to the target adjustment value, effectively improve the convenience of operation of the driver and improve the intelligent level of the vehicle.
Description
Technical Field
The application relates to the technical field of automobile control, in particular to a self-adaptive adjusting method and device for a vehicle.
Background
In the related technology, the positions of the seat and the rearview mirror need to be manually adjusted to the comfortable position by a driver and a passenger and then stored, and after the driver and the passenger pass identity recognition, the vehicle can automatically call and match the stored comfortable positions of the seat and the rearview mirror.
However, in the related art, the driver needs to manually adjust the positions of the seat and the rearview mirror, so that the convenience of the operation of the driver is reduced, the intelligent level of the vehicle is low, the driving experience of the driver is reduced, the driving requirement of the driver cannot be met, and urgent needs to be met.
Disclosure of Invention
The application provides a self-adaptive adjustment method and device of a vehicle, and aims to solve the technical problems that in the related art, drivers need to manually adjust the positions of seats and rearview mirrors, the convenience of operation of the drivers is reduced, the intelligentization level of the vehicle is low, the driving experience of the drivers is reduced, and the driving requirements of the drivers cannot be met.
An embodiment of a first aspect of the present application provides an adaptive adjustment method for a vehicle, including the following steps: acquiring the change data of the body type, sitting posture, eyeballs and fixation points of a driver at present; calculating the eye height and the fixation point of the current driver according to the body type, the sitting posture, the eyeballs and the fixation point change data of the driver, and generating the current visual field range of the current driver; and comparing the current visual field range with a preset optimal visual field range to obtain a comparison result, acquiring a target adjustment value of at least one visual field adjusting device of the vehicle according to the comparison result, and adjusting the at least one visual field adjusting device according to the target adjustment value until the comparison result reaches a preset condition.
According to the technical means, the target adjustment value of the visual field adjusting equipment of the vehicle can be obtained according to the comparison result of the current visual field range and the optimal visual field range of the current driver, the visual field adjusting equipment is automatically adjusted according to the target adjustment value, the convenience of operation of the driver is effectively improved, and the intelligent level of the vehicle is improved.
Optionally, in one embodiment of the present application, the at least one field of view adjustment device comprises a vehicle seat and/or a vehicle rear view mirror.
According to the technical means, the vehicle seat and the vehicle rearview mirror can be adjusted in a self-adaptive mode, and the driving comfort and safety of a driver are improved while the driving convenience of the driver is improved.
Optionally, in an embodiment of the present application, before comparing the current view range with the preset optimal view range, the method further includes: acquiring the identity of the current driver; and matching the preset optimal view range according to the identity.
According to the technical means, the optimal visual field range can be matched according to the identity of the driver, the personalized setting experience of the driver is improved, and the driving convenience of the driver is improved.
Optionally, in an embodiment of the present application, after obtaining the identity of the current driver, the method further includes: judging whether the current driver has a preset driving authority or not according to the identity; and if the preset driving authority is not available, the vehicle is prohibited from being started, and meanwhile, a reminding signal is sent to a preset terminal.
According to the technical means, the embodiment of the application can judge whether the driver has the driving authority or not according to the identity of the current driver, so that the intelligence and the safety of the vehicle are improved, and the driving requirement of the driver is met.
Optionally, in an embodiment of the present application, before collecting the driver body shape, sitting posture, eye ball and gaze point change data of the current driver, further comprising: receiving a self-adaptive adjustment instruction of the current driver; controlling at least one field of view adjustment device of the vehicle to enter an adaptive adjustment mode based on the adaptive adjustment instruction.
According to the technical means, the visual field adjusting device of the vehicle can be controlled to enter the self-adaptive adjusting mode based on the self-adaptive adjusting instruction, so that the automation level of the vehicle is improved, and the driving convenience of a driver is improved.
An embodiment of a second aspect of the present application provides an adaptive adjustment apparatus for a vehicle, including: the acquisition module is used for acquiring the body type, sitting posture, eyeball and fixation point change data of the current driver; the calculation module is used for calculating the eye height and the fixation point of the current driver according to the body type, the sitting posture, the eyeballs and the fixation point change data of the driver and generating the current visual field range of the current driver; the comparison module is used for comparing the current visual field range with a preset optimal visual field range to obtain a comparison result, acquiring a target adjustment value of at least one visual field adjusting device of the vehicle according to the comparison result, and adjusting the at least one visual field adjusting device according to the target adjustment value until the comparison result reaches a preset condition.
Optionally, in one embodiment of the present application, the at least one view adjustment device comprises a vehicle seat and/or a vehicle rear view mirror.
Optionally, in an embodiment of the present application, the apparatus in the embodiment of the present application further includes: the acquisition module is used for acquiring the identity of the current driver before comparing the current visual field range with the preset optimal visual field range; and the matching module is used for matching the preset optimal view range according to the identity before comparing the current view range with the preset optimal view range.
Optionally, in an embodiment of the present application, the apparatus in the embodiment of the present application further includes: the judging module is used for judging whether the current driver has the preset driving authority or not according to the identity; and the processing module is used for forbidding starting the vehicle and simultaneously sending a reminding signal to a preset terminal if the preset driving authority is not available.
Optionally, in an embodiment of the present application, the apparatus of the embodiment of the present application further includes: the receiving module is used for receiving the self-adaptive adjustment instruction of the current driver before acquiring the change data of the body type, the sitting posture, the eyeballs and the fixation point of the current driver; and the control module is used for controlling at least one visual field adjusting device of the vehicle to enter an adaptive adjusting mode based on the adaptive adjusting instruction before acquiring the change data of the body type, sitting posture, eyeballs and a fixation point of the driver of the current driver.
An embodiment of a third aspect of the present application provides a vehicle, comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the program to implement the adaptive control device method of a vehicle as described in the above embodiments.
A fourth aspect of the present application provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the adaptive control apparatus method for a vehicle as above.
The beneficial effect of this application:
(1) According to the embodiment of the application, the optimal visual field range can be matched according to the identity of the driver, the personalized setting experience of the driver is improved, and the driving convenience of the driver is improved.
(2) According to the embodiment of the application, the visual field adjusting equipment of the vehicle can be controlled to enter the self-adaptive adjusting mode based on the self-adaptive adjusting instruction, so that the automation level of the vehicle is improved, and the driving convenience of a driver is improved.
(3) The embodiment of the application can acquire the target adjustment value of the visual field adjusting equipment of the vehicle according to the comparison result of the current visual field range and the optimal visual field range of the current driver, automatically adjust the visual field adjusting equipment according to the target adjustment value, effectively improve the convenience of operation of the driver and improve the intelligent level of the vehicle.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a flowchart of an adaptive adjustment method for a vehicle according to an embodiment of the present application;
FIG. 2 is a schematic structural diagram of an adaptive control device of a vehicle according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a vehicle according to an embodiment of the present application.
10-adaptive adjustment means of the vehicle; 100-acquisition module, 200-calculation module and 300-comparison module; 301-memory, 302-processor and 303 communication interface.
Detailed Description
Reference will now be made in detail to the embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are illustrative and intended to explain the present application and should not be construed as limiting the present application.
An adaptive adjustment method and apparatus for a vehicle according to an embodiment of the present application are described below with reference to the drawings. In the method, the eye height and the fixation point of the current driver can be calculated according to the collected change data of the body shape, the sitting posture, the eyeballs and the fixation point of the driver, the current visual field range of the current driver is generated, the current visual field range is compared with the preset optimal visual field range to obtain a comparison result, and the target adjustment value of at least one visual field adjusting device of the vehicle is obtained according to the comparison result, so that the at least one visual field adjusting device is adjusted until the comparison result reaches the preset condition, the convenience of the driver operation is effectively improved, the intelligent level of the vehicle is improved, and the driving requirement of the driver is met. From this, solved among the correlation technique driver and passenger need manual adjustment seat, rear-view mirror position, reduced the convenience of driver's operation, the intelligent level of vehicle is lower, has reduced driver's driving experience, can't satisfy the technical problem of driver's driving demand.
Specifically, fig. 1 is a schematic flowchart of an adaptive adjustment method for a vehicle according to an embodiment of the present application.
As shown in fig. 1, the adaptive adjustment method of the vehicle includes the steps of:
in step S101, driver body shape, sitting posture, eyeball, and gaze point change data of the current driver are collected.
It can be understood that, the embodiment of the application can collect the body type, sitting posture, eyeball and fixation point change data of the driver at present, for example, after the driver sits on the main driving seat, the body type, sitting posture, eyeball and fixation point change data of the driver can be accurately collected through the high-definition camera inside the cab, so that the intelligent level of the vehicle is improved, and meanwhile, the performability of the vehicle self-adaptive adjustment is improved.
Optionally, in an embodiment of the present application, before collecting the driver body type, sitting posture, eye ball and gaze point change data of the current driver, further comprising: receiving a self-adaptive adjustment instruction of a current driver; at least one field of view adjustment device of the vehicle is controlled to enter an adaptive adjustment mode based on the adaptive adjustment instruction.
In the actual implementation process, the embodiment of the application can receive the adaptive adjustment instruction of the current driver, for example, the driver can send the adaptive adjustment instruction through voice, such as "you are good, XX car, starts to adjust the rearview mirror", so that the vehicle can control the visual field adjusting device of the vehicle in the following steps to enter the adaptive adjustment mode based on the adaptive adjustment instruction, thereby improving the automation level of the vehicle and improving the driving convenience of the driver.
In step S102, the eye height and the gaze point of the current driver are calculated according to the body type, sitting posture, eye ball and gaze point change data of the driver, and the current visual field range of the current driver is generated.
It can be understood that this application embodiment can calculate current driver's eye height and gaze point according to driver's physique, position of sitting, eyeball and gaze point change data, for example, when this application embodiment gathers driver's physique, position of sitting, eyeball height and gaze point change data through the inside high definition digtal camera of driver's cabin, can calculate current driver's eye height and gaze point according to driver's physique, position of sitting, eyeball height and gaze point's change data, and generate current driver's current field of vision scope, thereby promote driver's convenience of riding, and promote driver's riding experience.
In step S103, comparing the current visual field range with the preset optimal visual field range to obtain a comparison result, obtaining a target adjustment value of at least one visual field adjusting device of the vehicle according to the comparison result, and adjusting the at least one visual field adjusting device according to the target adjustment value until the comparison result reaches a preset condition.
It can be understood that, in the embodiment of the present application, the current visual field range and the optimal visual field range of the driver may be compared to obtain a comparison result, and a target adjustment value of the visual field adjusting device of the vehicle in the following steps is obtained according to the comparison result, for example, the target adjustment value is adjusted by 5 ° downward for the left rearview mirror, and the visual field adjusting device is adjusted according to the target adjustment value until the comparison result reaches a certain condition, for example, until the seat and the left and right rearview mirrors meet the safe driving requirement of the driver, so that the convenience of the driver operation is improved, the intelligence level of the vehicle is improved, and the driving requirement of the driver is met.
It should be noted that the preset optimal viewing range and the preset conditions are set by those skilled in the art according to actual situations, and are not specifically limited herein.
Optionally, in an embodiment of the present application, before comparing the current view range with the preset optimal view range, the method further includes: acquiring the identity of the current driver; and matching a preset optimal view range according to the identity.
As a possible implementation manner, the embodiment of the present application may acquire the identification of the current driver, for example, the embodiment of the present application may store a target adjustment value of the visual field adjusting device corresponding to the driver, and when the driver sits in the main driver seat, the camera in the vehicle may identify facial information of the driver or acquire the identification of the driver through a voiceprint, so that the optimal visual field range may be matched according to the identification of the driver, thereby improving the personalized setting experience of the driver, and improving the convenience and the safety of driving and riding of the driver.
Optionally, in an embodiment of the present application, after obtaining the identity of the current driver, the method further includes: judging whether the current driver has a preset driving authority or not according to the identity; and if the vehicle does not have the preset driving authority, the vehicle is prohibited to start, and meanwhile, a reminding signal is sent to a preset terminal.
In some embodiments, the embodiment of the application can judge whether the current driver has driving authority according to the identity, for example, the user can enter facial information or voiceprint of common drivers and passengers in advance and set the driving authority, after the identity of the current driver is obtained, whether the current driver has the driving authority can be judged through the facial information or the voiceprint, when the driver does not have the driving authority, the vehicle is prohibited to be started, and meanwhile, a reminding signal is sent to a mobile phone end of the user, so that the intelligence and the safety of the vehicle are improved, and the vehicle using requirements of the user are met.
It should be noted that the preset driving authority is set by a person skilled in the art according to actual situations, and is not specifically limited herein.
Wherein, in one embodiment of the present application, the at least one field of view adjustment device comprises a vehicle seat and/or a vehicle rear view mirror.
In some embodiments, the field of view adjustment devices in the embodiments of the present application include, but are not limited to, vehicle seats and vehicle mirrors to improve the convenience and safety of the driver's ride while improving the convenience of the driver's ride.
For example, the working principle of the embodiment of the present application is described in detail below with a specific embodiment.
The driver vision range calculation controller is connected with the electric seat and the electric rearview mirror, and the electric seat is connected with the electric rearview mirror.
Firstly, after a driver sits on a main driving seat, the embodiment of the application can accurately acquire the body type, sitting posture, eyeballs and fixation point change data of the driver through a high-definition camera arranged in a cab.
And secondly, the operator visual field range operation controller can establish an operator optimal seat posture model according to the human-machine engineering and the calibrated optimal vehicle driving visual field range.
And finally, when the driver vision range operation controller acquires that the body type, sitting posture, eyeball height and fixation point of the driver are obviously changed, the driver vision range operation controller can calculate and analyze a seat posture model of the current driver in the current sitting posture and the actual vision range of the driver according to the change data, and establishes a model suitable for the current driver by combining the optimal seat posture model, the sitting posture, the body type and the fixation point of the driver, and sends the electric seat position and the electric rearview mirror position suitable for the model of the current driver to the seat controller and the rearview mirror controller, so that the seat controller and the rearview mirror controller control the electric seat and the electric rearview mirror to adjust the distance to the suitable position.
In conclusion, due to the fact that the sitting postures of drivers with different body types and different heights under the optimal visual field range are different, the visual field range of the model can be further confirmed through the eye height and the fixation point, the basic model established by human engineering is combined, the seat can be automatically adjusted to a comfortable position in all directions (such as front and back up and down adjustment of the seat, front and back adjustment of the angle of the backrest, height adjustment of the headrest and the like) according to different postures of the driver, different seat position models are synchronously associated with different rearview mirror position models, the positions of the electric rearview mirrors in the up and down direction and the left and right direction can be synchronously adjusted when the seat position is automatically adjusted, accordingly, the driving convenience and safety of the driver are effectively improved, the intelligent level of a vehicle is improved, and the driving requirements of the driver are met.
According to the self-adaptive adjusting method of the vehicle, the eye height and the fixation point of the current driver can be calculated according to the collected change data of the body type, the sitting posture, the eyeballs and the fixation point of the driver, the current visual field range of the current driver is generated, the current visual field range is compared with the preset optimal visual field range, the comparison result is obtained, and the target adjusting value of at least one visual field adjusting device of the vehicle is obtained according to the comparison result, so that the at least one visual field adjusting device is adjusted until the comparison result reaches the preset condition, the convenience of operation of the driver is effectively improved, the intelligent level of the vehicle is improved, and the driving and riding requirements of the driver are met. From this, solved among the correlation technique driver and passenger need manual adjustment seat, rear-view mirror position, reduced the convenience of driver's operation, the intelligent level of vehicle is lower, has reduced driver's driving experience, can't satisfy the technical problem of driver's driving demand.
Next, an adaptive adjustment device for a vehicle according to an embodiment of the present application will be described with reference to the drawings.
Fig. 2 is a block schematic diagram of an adaptive control apparatus of a vehicle according to an embodiment of the present application.
As shown in fig. 2, the adaptive control apparatus 10 of the vehicle includes: an acquisition module 100, a calculation module 200 and a comparison module 300.
Specifically, the collecting module 100 is configured to collect driver body shape, sitting posture, eyeball, and gaze point change data of the current driver.
The calculating module 200 is configured to calculate the eye height and the gaze point of the current driver according to the body type, the sitting posture, the eyeball, and the gaze point change data of the driver, and generate the current visual field range of the current driver.
The comparison module 300 is configured to compare the current field of view with a preset optimal field of view to obtain a comparison result, obtain a target adjustment value of at least one field of view adjustment device of the vehicle according to the comparison result, and adjust the at least one field of view adjustment device according to the target adjustment value until the comparison result reaches a preset condition.
Optionally, in one embodiment of the present application, the at least one field of view adjustment device comprises a vehicle seat and/or a vehicle rear view mirror.
Optionally, in an embodiment of the present application, the apparatus 10 of the embodiment of the present application further includes: the device comprises an acquisition module and a matching module.
The acquisition module is used for acquiring the identity of the current driver before comparing the current visual field range with the preset optimal visual field range.
And the matching module is used for matching the preset optimal view range according to the identity before comparing the current view range with the preset optimal view range.
Optionally, in an embodiment of the present application, the apparatus 10 of the embodiment of the present application further includes: the device comprises a judging module and a processing module.
The judging module is used for judging whether the current driver has the preset driving authority or not according to the identity.
And the processing module is used for forbidding starting the vehicle and simultaneously sending a reminding signal to the preset terminal if the processing module does not have the preset driving authority.
Optionally, in an embodiment of the present application, the apparatus 10 of the embodiment of the present application further includes: the device comprises a receiving module and a control module.
The receiving module is used for receiving the self-adaptive adjustment instruction of the current driver before acquiring the change data of the body type, the sitting posture, the eyeballs and the fixation point of the current driver.
And the control module is used for controlling at least one visual field adjusting device of the vehicle to enter an adaptive adjusting mode based on the adaptive adjusting instruction before acquiring the change data of the body type, sitting posture, eyeballs and a fixation point of the driver of the current driver.
It should be noted that the foregoing explanation of the embodiment of the adaptive adjustment method for a vehicle also applies to the adaptive adjustment device for a vehicle in this embodiment, and details thereof are not repeated here.
According to the self-adaptive adjusting device of the vehicle, the eye height and the fixation point of the current driver can be calculated according to the collected change data of the body type, the sitting posture, the eyeballs and the fixation point of the driver, the current visual field range of the current driver is generated, the current visual field range is compared with the preset optimal visual field range, a comparison result is obtained, and the target adjusting value of at least one visual field adjusting device of the vehicle is obtained according to the comparison result, so that the at least one visual field adjusting device is adjusted until the comparison result reaches the preset condition, the convenience of operation of the driver is effectively improved, the intelligent level of the vehicle is improved, and the driving and riding requirements of the driver are met. From this, solved among the correlation technique driver and passenger need manual adjustment seat, rear-view mirror position, reduced the convenience of driver's operation, the intelligent level of vehicle is lower, has reduced driver's driving experience, can't satisfy the technical problem of driver's driving demand.
Fig. 3 is a schematic structural diagram of a vehicle according to an embodiment of the present application. The vehicle may include:
a memory 301, a processor 302, and a computer program stored on the memory 301 and executable on the processor 302.
The processor 302, when executing the program, implements the adaptive adjustment method of the vehicle provided in the above-described embodiment.
Further, the vehicle further includes:
a communication interface 303 for communication between the memory 301 and the processor 302.
A memory 301 for storing computer programs executable on the processor 302.
The memory 301 may comprise high-speed RAM memory, and may also include non-volatile memory, such as at least one disk memory.
If the memory 301, the processor 302 and the communication interface 303 are implemented independently, the communication interface 303, the memory 301 and the processor 302 may be connected to each other through a bus and perform communication with each other. The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 3, but that does not indicate only one bus or one type of bus.
Alternatively, in practical implementation, if the memory 301, the processor 302 and the communication interface 303 are integrated on one chip, the memory 301, the processor 302 and the communication interface 303 may complete communication with each other through an internal interface.
The processor 302 may be a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement embodiments of the present Application.
Embodiments of the present application also provide a computer-readable storage medium, on which a computer program is stored, which when executed by a processor, implements the adaptive adjustment method of the vehicle as above.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or N embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the feature. In the description of the present application, "N" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or N executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or N wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Further, the computer readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented in hardware as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (10)
1. An adaptive adjustment method of a vehicle, characterized by comprising the steps of:
collecting the body type, sitting posture, eyeball and fixation point change data of the current driver;
calculating the eye height and the fixation point of the current driver according to the body type, the sitting posture, the eyeballs and the fixation point change data of the driver, and generating the current visual field range of the current driver; and
and comparing the current visual field range with a preset optimal visual field range to obtain a comparison result, acquiring a target adjustment value of at least one visual field adjusting device of the vehicle according to the comparison result, and adjusting the at least one visual field adjusting device according to the target adjustment value until the comparison result reaches a preset condition.
2. The method of claim 1, wherein the at least one field of view adjustment device comprises a vehicle seat and/or a vehicle rearview mirror.
3. The method of claim 1, further comprising, prior to comparing the current viewing range to the preset optimal viewing range:
acquiring the identity of the current driver;
and matching the preset optimal view range according to the identity.
4. The method of claim 3, further comprising, after obtaining the identity of the current driver:
judging whether the current driver has a preset driving authority or not according to the identity;
and if the preset driving authority is not available, the vehicle is prohibited from being started, and meanwhile, a reminding signal is sent to a preset terminal.
5. The method of claim 1, further comprising, prior to collecting driver body shape, sitting posture, eye ball and point of regard change data for the current driver:
receiving a self-adaptive adjustment instruction of the current driver;
controlling at least one field of view adjustment device of the vehicle to enter an adaptive adjustment mode based on the adaptive adjustment instruction.
6. An adaptive adjustment device for a vehicle, characterized by comprising:
the acquisition module is used for acquiring the change data of the body type, sitting posture, eyeballs and fixation points of the driver of the current driver;
the calculation module is used for calculating the eye height and the fixation point of the current driver according to the body type, the sitting posture, the eyeballs and the fixation point change data of the driver and generating the current visual field range of the current driver; and
the comparison module is used for comparing the current visual field range with a preset optimal visual field range to obtain a comparison result, acquiring a target adjustment value of at least one visual field adjusting device of the vehicle according to the comparison result, and adjusting the at least one visual field adjusting device according to the target adjustment value until the comparison result reaches a preset condition.
7. The apparatus of claim 6, wherein the at least one field of view adjustment device comprises a vehicle seat and/or a vehicle rearview mirror.
8. The apparatus of claim 6, further comprising:
the acquisition module is used for acquiring the identity of the current driver before comparing the current visual field range with the preset optimal visual field range;
and the matching module is used for matching the preset optimal view range according to the identity before comparing the current view range with the preset optimal view range.
9. A vehicle, characterized by comprising: memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the program to implement the method of adaptive tuning of a vehicle according to any of claims 1-5.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the program is executed by a processor for implementing an adaptive adjustment method of a vehicle according to any one of claims 1-5.
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| CN202211514799.7A CN115782794A (en) | 2022-11-29 | 2022-11-29 | Self-adaptive adjusting method and device for vehicle |
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| CN202211514799.7A CN115782794A (en) | 2022-11-29 | 2022-11-29 | Self-adaptive adjusting method and device for vehicle |
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Cited By (1)
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| CN116409218A (en) * | 2023-05-24 | 2023-07-11 | 江苏日盈电子股份有限公司 | Vehicle cabin interaction method, vehicle cabin interaction system, computing device and vehicle |
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