CN113221071A - Automatic adjusting method and device for vehicle-mounted HUD virtual image height and electronic equipment - Google Patents
Automatic adjusting method and device for vehicle-mounted HUD virtual image height and electronic equipment Download PDFInfo
- Publication number
- CN113221071A CN113221071A CN202110605528.1A CN202110605528A CN113221071A CN 113221071 A CN113221071 A CN 113221071A CN 202110605528 A CN202110605528 A CN 202110605528A CN 113221071 A CN113221071 A CN 113221071A
- Authority
- CN
- China
- Prior art keywords
- data
- hud
- height
- seat
- virtual image
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 48
- 230000006870 function Effects 0.000 claims description 68
- 238000000611 regression analysis Methods 0.000 claims description 45
- 230000015654 memory Effects 0.000 claims description 17
- 230000001105 regulatory effect Effects 0.000 claims description 9
- 238000004590 computer program Methods 0.000 claims description 5
- 238000012886 linear function Methods 0.000 claims description 4
- 238000001514 detection method Methods 0.000 claims description 3
- 230000014509 gene expression Effects 0.000 description 8
- 230000008569 process Effects 0.000 description 8
- 238000004458 analytical method Methods 0.000 description 5
- 230000001419 dependent effect Effects 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 238000012417 linear regression Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 230000015572 biosynthetic process Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 210000003128 head Anatomy 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 208000003464 asthenopia Diseases 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000001276 controlling effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000003702 image correction Methods 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000006798 recombination Effects 0.000 description 1
- 238000005215 recombination Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
- G02B27/01—Head-up displays
- G02B27/0149—Head-up displays characterised by mechanical features
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D3/00—Control of position or direction
- G05D3/12—Control of position or direction using feedback
-
- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
- G02B27/01—Head-up displays
- G02B27/0149—Head-up displays characterised by mechanical features
- G02B2027/0154—Head-up displays characterised by mechanical features with movable elements
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Mathematical Analysis (AREA)
- Theoretical Computer Science (AREA)
- Mathematical Physics (AREA)
- Pure & Applied Mathematics (AREA)
- Computational Mathematics (AREA)
- Mathematical Optimization (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Evolutionary Biology (AREA)
- Operations Research (AREA)
- Probability & Statistics with Applications (AREA)
- Bioinformatics & Computational Biology (AREA)
- Algebra (AREA)
- Life Sciences & Earth Sciences (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Optics & Photonics (AREA)
- Fittings On The Vehicle Exterior For Carrying Loads, And Devices For Holding Or Mounting Articles (AREA)
Abstract
The invention discloses a method and a device for automatically adjusting the height of a virtual image of a vehicle-mounted HUD (head Up display) and electronic equipment, wherein the method comprises the following steps: determining a first functional correspondence between the position data of the seat and the height data of the virtual HUD image; acquiring first position data of a driver after the driver adjusts the seat, and determining first height data of the HUD virtual image according to the first position data, the first function corresponding relation and manual adjustment information of the driver; determining a second functional correspondence between second position data of the seat and second height data of the virtual HUD image; the second function corresponding relation is issued to all automobiles with the same model as the automobile through the OTA of the automobile vehicle-mounted equipment; and acquiring third position data of the driver after the seat is adjusted, and automatically adjusting the height of the HUD virtual image to third height data according to the third position data and the corresponding relation of the second function. The method and the device automatically adjust the height of the HUD virtual image according to the position of the driver seat, and improve the accuracy of automatically adjusting the height of the HUD virtual image through OTA (over the air) upgrading.
Description
Technical Field
The invention relates to the field of vehicle-mounted HUD (head Up display) equipment, in particular to a method and a device for automatically adjusting the height of a virtual image of a vehicle-mounted HUD and electronic equipment.
Background
Along with the development of car intelligent technology, the cost reduction of new line display equipment (Head up display, HUD for short), more and more cars have been equipped with new line display, and HUD formation of image is in car the place ahead, according to the difference of configuration and scheme, HUD's virtual image is between driver the place ahead 2 ~ 7 meters. HUD's transparent formation of image can let the driver at the driving in-process, and the place ahead is observed to the eyes, need not to bow, has promoted driving safety greatly. In addition, in the driving process, the time of about 0.5 second is needed for adjusting the focusing of the eyes of the driver from the front road to the common instrument and vehicle screen, and only 0.1 second is needed for focusing the eyes of the driver from the front road to the HUD virtual image, so that the visual fatigue problem caused by the adjustment of the focal length of the eyes of the driver is relieved.
Present HUD virtual image picture adopts button or knob to adjust the height of virtual image position more, to the consumer that ordinary consumer especially used HUD for the first time, needs the process of a study specific use mode, and every driver that changes moreover all needs the height that the driver manually regulated the HUD picture, and the mode that the HUD virtual image position was adjusted to the touch screen through car machine system influences driving safety. Therefore, automatic adjustment cannot be achieved in the existing mode of adjusting the HUD virtual image position through a touch screen of a vehicle machine system by adding keys or knobs on an instrument or a steering wheel.
Disclosure of Invention
The invention mainly aims to provide a method and a device for automatically adjusting the height of a vehicle-mounted HUD virtual image, so as to solve the problem that the height position of the vehicle-mounted HUD virtual image cannot be automatically adjusted.
In order to achieve the above object, a first aspect of the present invention provides an automatic adjustment method for a virtual image height of a vehicle-mounted HUD, including:
determining a first functional correspondence between previous position data of the seat and previous height data of a correspondingly disposed virtual HUD image;
acquiring first position data of a rear seat of a driver seat, and determining first height data of an HUD virtual image according to the first position data, a first function corresponding relation and manual adjustment information of the driver to the height of the HUD virtual image;
determining a second functional correspondence between second position data of the seat, including previous position data and first position data, and second height data of a correspondingly disposed virtual image of the HUD, including previous height data and first height data;
the second function corresponding relation is issued to all automobiles with the same model as the automobile through the OTA of the automobile-mounted equipment, so that all automobiles with the same model as the automobile upgrade the first function corresponding relation into the second function corresponding relation;
and acquiring third position data of a seat behind a driver adjusting the seat, determining third height data of the HUD virtual image according to the third position data and the second function corresponding relation, and automatically adjusting the height of the HUD virtual image to the third height data of the HUD virtual image.
Optionally, the determining a first functional correspondence between previous position data of the seat and previous height data of a correspondingly set virtual HUD image comprises:
taking the previous position data of the seat and the previous height data of the correspondingly arranged HUD virtual image as a group of previous data, and collecting a plurality of groups of previous data;
a regression analysis is performed based on the plurality of sets of previous data collected to determine a first functional correspondence between previous position data of the seat and previous height data of a correspondingly disposed virtual HUD image.
Further, the determining the first height data of the HUD virtual image through the first position data, the first function corresponding relation and the manual adjustment information of the height of the HUD virtual image by the driver includes:
determining automatic height data of the HUD virtual image according to the corresponding relation between the first position data and the first function;
acquiring manual adjustment information of the driver on automatic height data of the HUD virtual image;
and adjusting the automatic height data of the HUD virtual image according to the manual adjustment information to obtain first height data of the HUD virtual image after the driver manually adjusts the automatic height data.
Further, the determining a second functional correspondence between the second position data of the seat and the second height data of the correspondingly set HUD virtual image includes:
the method comprises the steps that first position data of a seat and first height data of a correspondingly arranged HUD virtual image are used as a group of driver data after a driver adjusts the seat and manually adjusts the height of the HUD virtual image, and multiple groups of driver data are obtained;
and performing regression analysis based on the collected multiple groups of previous data and the obtained multiple groups of driver data, and determining a second function corresponding relation between second position data of the seat and second height data of the correspondingly arranged HUD virtual image.
Optionally, said performing regression analysis based on the collected sets of previous data to determine a first functional correspondence between previous position data of the seat and previous height data of the correspondingly disposed virtual HUD image comprises:
based on the sets of previous data collected, a regression analysis is performed using the following equation:
y=f(x1,x2,…,xi,…,xn)+ξ
wherein x isiIs the ith data among the previous position data of the seat, n is a positive integer of 1 or more, f (x)1,x2,…,xi,…,xn) Is a first functional correspondence between previous position data of the seat and previous height data of a correspondingly disposed virtual HUD image, ξ represents an error term, y is the previous height data of the correspondingly disposed virtual HUD image;
after regression analysis is carried out, a first function corresponding relation between the previous position data of the seat and the previous height data of the correspondingly arranged HUD virtual image is obtained;
when the first function correspondence is a linear function, y is expressed as:
y=β0+β1*x1+β2*x2+…+βi*xi…+βn*xn+ξ
wherein, beta0Is aA constant, representing the intercept term, βiFor the ith influence coefficient, x is expressediThe degree of influence on y.
Optionally, after automatically adjusting the height of the HUD virtual image to the third height data of the HUD virtual image, the method further comprises:
detecting whether manual adjustment information of the height data of the HUD virtual image by the driver is received;
if the detection result is yes, adjusting the third height data of the HUD virtual image according to the manual adjustment information to obtain fourth height data of the HUD virtual image;
storing a difference between the fourth height data and third height data;
acquiring fourth position data of a seat behind which the driver adjusts the seat again, determining fifth height data of the HUD virtual image according to the fourth position data, the second function corresponding relation and the stored difference value, and automatically adjusting the height of the HUD virtual image to the fifth height data of the HUD virtual image;
and respectively taking the third position data of the seat behind the driver adjusting seat and the fourth height data of the HUD virtual image obtained after manually adjusting the height of the HUD virtual image as next position data and next height data, and performing regression analysis to determine the next function corresponding relation by taking the next position data and the next height data as a next set of driver data.
Further, the previous position data, the first position data, the second position data, the third position data and the fourth position data of the seat each include a seat front-rear position, a seat front high-low position, a seat rear high-low position, a seat back pitch angle and a seat waist support front-rear position;
the previous height data of the virtual image of the correspondingly set HUD is previous height data of the virtual image of the set HUD corresponding to the previous position data of the seat.
A second aspect of the present invention provides an automatic adjustment device for a virtual image height of a vehicle-mounted HUD, comprising:
a first determination unit for determining a first functional correspondence between previous position data of the seat and previous height data of a correspondingly set virtual HUD image;
the acquiring unit is used for acquiring first position data of a rear seat of a driver adjusting the seat, and determining first height data of the HUD virtual image according to the first position data, the first function corresponding relation and manual adjusting information of the driver for the height of the HUD virtual image;
a second determination unit for determining a second functional correspondence between second position data of the seat, including previous position data and first position data, and second height data of a correspondingly provided virtual HUD image, including previous height data and first height data;
the upgrading unit is used for issuing the second function corresponding relation to all automobiles with the same model as the automobile through the OTA of the automobile-mounted equipment so as to upgrade the first function corresponding relation to the second function corresponding relation by all the automobiles with the same model as the automobile;
and the automatic adjusting unit is used for acquiring third position data of a seat behind which a driver adjusts the seat, determining third height data of the HUD virtual image according to the third position data and the second function corresponding relation, and automatically adjusting the height of the HUD virtual image to the third height data of the HUD virtual image.
A third aspect of the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to execute the method for automatically adjusting the virtual image height of an in-vehicle HUD provided in any one of the first aspects.
A fourth aspect of the present invention provides an electronic apparatus, comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to cause the at least one processor to perform the method for automatically adjusting a virtual image height of an in-vehicle HUD according to any of the first aspects.
In the automatic adjustment of the vehicle-mounted HUD virtual image height provided by the embodiment of the invention, firstly, the corresponding relation between the seat position and the HUD virtual image height which are acquired previously is determined, after a driver adjusts the seat, the height of the HUD virtual image is automatically adjusted according to the adjusted seat position and the corresponding relation, then, the driver manually adjusts the automatically adjusted HUD virtual image height, and the new corresponding relation between the seat position and the HUD virtual image height is determined again through the two groups of data by combining the height data of the seat position and the HUD virtual image which are acquired previously, the seat position after the driver adjusts the seat and the height data after the HUD virtual image height is manually adjusted; the new corresponding relation is not only based on the seat position and the HUD virtual image height which are collected previously, but also comprises the seat position after the seat is adjusted by the driver and the height data after the HUD virtual image height is manually adjusted, so that the accuracy of automatically adjusting the HUD virtual image height can be improved, the use experience of the driver is also improved, the driver only needs to manually adjust the height data of the automatically adjusting HUD virtual image in a fine adjustment mode, the time and the times of manual adjustment of the driver are reduced, and the driving safety is ensured;
the seat position data and the HUD virtual image height data related to the embodiment of the invention are data of the same vehicle type; updating and upgrading the corresponding relation stored by the same type of automobile into a new corresponding relation between the seat position and the HUD virtual image height through an online upgrading function OTA of automobile-mounted equipment, and automatically adjusting the height of the HUD virtual image according to the adjusted seat position and the new corresponding relation after the driver adjusts the seat; after confirming new corresponding relation between seat position and the HUD virtual image height, through the on-vehicle OTA of car upgrading, the control logic of the same model car of update compares with original corresponding relation, can further make the HUD virtual image height after the automatically regulated accord with driver's driving custom more, and accurately ground automatically regulated HUD virtual image height is fit for the driver more, reduces the extra manual regulation of driver.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic flow chart of a method for automatically adjusting the virtual image height of a vehicle-mounted HUD according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a virtual image display of a vehicle-mounted HUD according to an embodiment of the present invention;
FIG. 3 is a schematic view of a seat provided by an embodiment of the present invention;
FIG. 4 is a block diagram of an apparatus for automatically adjusting the virtual image height of a vehicle-mounted HUD according to an embodiment of the present invention;
fig. 5 is a block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged under appropriate circumstances in order to facilitate the description of the embodiments of the invention herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In the present invention, the terms "upper", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outer", "center", "vertical", "horizontal", "lateral", "longitudinal", and the like indicate an orientation or positional relationship based on the orientation or positional relationship shown in the drawings. These terms are used primarily to better describe the invention and its embodiments and are not intended to limit the indicated devices, elements or components to a particular orientation or to be constructed and operated in a particular orientation.
Moreover, some of the above terms may be used to indicate other meanings besides the orientation or positional relationship, for example, the term "on" may also be used to indicate some kind of attachment or connection relationship in some cases. The specific meanings of these terms in the present invention can be understood by those skilled in the art as appropriate.
Furthermore, the terms "mounted," "disposed," "provided," "connected," and "sleeved" are to be construed broadly. For example, it may be a fixed connection, a removable connection, or a unitary construction; can be a mechanical connection, or an electrical connection; may be directly connected, or indirectly connected through intervening media, or may be in internal communication between two devices, elements or components. The specific meanings of the above terms in the present invention can be understood by those of ordinary skill in the art according to specific situations.
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
Present HUD virtual image picture adopts button or knob to adjust the height of virtual image position more, to the consumer that ordinary consumer especially used HUD for the first time, needs the process of a study specific use mode, and every driver that changes moreover all needs the height that the driver manually regulated the HUD picture, and the mode that the HUD virtual image position was adjusted to the touch screen through car machine system influences driving safety. Therefore, automatic adjustment cannot be achieved in the existing mode of adjusting the HUD virtual image position through a touch screen of a vehicle machine system by adding keys or knobs on an instrument or a steering wheel.
In order to solve the above problem, an embodiment of the present invention provides an automatic adjustment method for a virtual image height of a vehicle-mounted HUD, as shown in fig. 1, the method includes steps S101 to S105 as follows:
step S101: determining a first functional correspondence between previous position data of the seat and previous height data of a correspondingly disposed virtual HUD image; wherein the previous height data of the correspondingly set virtual HUD image is previous height data of a set-up virtual HUD image corresponding to previous position data of the seat.
The virtual image display principle of the vehicle-mounted HUD provided by the embodiment of the invention is shown in fig. 2, for the same type of automobile, the mounting positions of the vehicle-mounted HUD and the seat can be considered to be consistent (no consideration is given to engineering errors), and for drivers with different heights and sizes, comfortable driving positions are found by mainly adjusting the positions of the seat (such as front and back, height, backrest pitching, waist support positions and the like). For drivers with the same height and size, the positions of the seats are similar, and the heights of the HUD virtual images are also similar, namely the positions of the seats and the heights of the HUD virtual images have correlation. Therefore, the height setting position of the HUD image can be estimated from the position information of the driver seat, thereby achieving synchronous adjustment of the HUD virtual image height and the associated image correction after the position is adjusted by the driver.
Specifically, the step S101 includes:
taking the previous position data of the seat and the previous height data of the correspondingly arranged HUD virtual image as a group of previous data, and collecting a plurality of groups of previous data; before the automobile carrying the HUD equipment comes to the market, the seat position of the driver with a large amount of different heights, statures, sexes and race and the corresponding HUD image height information can be collected as the previous position data of the seat and the previous height data of the HUD virtual image corresponding to the setting, so that the expression or function corresponding relation of the correlation between the seat position and the HUD virtual image height can be accurately determined.
A regression analysis is performed based on the plurality of sets of previous data collected to determine a first functional correspondence between previous position data of the seat and previous height data of a correspondingly disposed virtual HUD image.
Wherein the performing regression analysis based on the collected sets of prior data comprises:
based on the sets of previous data collected, a regression analysis is performed using the following equation:
y=f(x1,x2,…,xi,…,xn)+ξ
wherein x isiIs the ith data among the previous position data of the seat, n is a positive integer of 1 or more, f (x)1,x2,…,xi,…,xn) Is a first functional correspondence between previous position data of the seat and previous height data of a correspondingly disposed virtual HUD image, ξ represents an error term, y is the previous height data of the correspondingly disposed virtual HUD image;
after regression analysis is carried out, a first function corresponding relation between the previous position data of the seat and the previous height data of the correspondingly arranged HUD virtual image is obtained;
when the first function correspondence is a linear function, y is expressed as:
y=β0+β1*x1+β2*x2+…+βi*xi…+βn*xn+ξ
wherein, beta0Is a constant, representing the intercept term, βiFor the ith influence coefficient, x is expressediThe degree of influence on y, i.e. the weight. When the regression analysis is linear regression analysis, a specific function form of the function correspondence relationship and values of each parameter can be obtained after the linear regression analysis is performed.
Regression analysis (regression analysis), a statistical concept, refers to a statistical analysis method for determining the quantitative relationship of interdependence between two or more variables. Regression analysis is divided into unitary regression analysis and multiple regression analysis according to the number of related variables; according to the dependent variable, the method can be divided into simple regression analysis and multiple regression analysis; according to the type of relationship between independent variables and dependent variables, linear regression analysis and nonlinear regression analysis can be classified.
For different sets of independent variable and dependent variable data, the parameter forms of the adopted expressions are the same when regression analysis is performed, and the difference is the specific values of the parameters in the expressions obtained after the regression analysis is completed. Therefore, the regression analysis expression used for obtaining the first function corresponding relation by performing regression analysis is the same as the regression analysis expression used for obtaining the second function corresponding relation by performing regression analysis later, and only because the independent variable data and the dependent variable data are different, the specific values of the parameters in the expressions obtained after the two regression analyses are completed are different.
In an embodiment of the present invention, the independent variable of the regression analysis is previous position data of the seat, including at least one data, and the dependent variable is previous height data of the corresponding set HUD virtual image, the regression analysis in the embodiment of the present invention may be linear regression analysis, or may be nonlinear regression analysis, and the obtained function correspondence may be a linear function, or may be other function relationships.
Step S102: acquiring first position data of a rear seat of a driver seat, and determining first height data of an HUD virtual image according to the first position data, a first function corresponding relation and manual adjustment information of the driver to the height of the HUD virtual image;
specifically, the step S102 includes:
determining automatic height data of the HUD virtual image according to the corresponding relation between the first position data and the first function, and automatically adjusting the height of the HUD virtual image to the automatic height data of the HUD virtual image; after determining the automatic height data of the HUD virtual image according to the first position data and the first function corresponding relation, automatically adjusting the height of the HUD virtual image to the automatic height data by controlling the rotation of the internal motor of the HUD.
Acquiring manual adjustment information of the driver on automatic height data of the HUD virtual image;
and adjusting the automatic height data of the HUD virtual image according to the manual adjustment information to obtain first height data of the HUD virtual image after the driver manually adjusts the automatic height data.
After the car went to the market, the car owner had bought the car to the driver's seat position and the HUD virtual image height of car have been adjusted, at this moment, obtain the car owner and adjust the first position data of seat back seat and the manual regulation information to the automatic altitude data of HUD virtual image that corresponds.
Step S103: determining a second functional correspondence between second position data of the seat, including previous position data and first position data, and second height data of a correspondingly disposed virtual image of the HUD, including previous height data and first height data;
specifically, the step S103 includes:
the method comprises the steps that first position data of a seat and first height data of a correspondingly arranged HUD virtual image are used as a group of driver data after a driver adjusts the seat and manually adjusts the height of the HUD virtual image, and multiple groups of driver data are obtained;
and performing regression analysis based on the collected multiple groups of previous data and the obtained multiple groups of driver data, and determining a second function corresponding relation between second position data of the seat and second height data of the correspondingly arranged HUD virtual image.
When the acquired driver data reaches a certain amount or a certain time,
and carrying out regression analysis on the received driver data, the original collected previous seat position data and the previous HUD virtual image height position data, so as to obtain a new corresponding relation between the HUD virtual image position and the seat position, namely a second function corresponding relation. The regression analysis expression used in the regression analysis is the same as the regression analysis expression used in the first function correspondence, and the difference is that the specific value of each parameter in the function correspondence obtained after the regression analysis is completed is different.
Step S104: issuing the second function corresponding relation to all automobiles with the same model as the automobile through an Over-the-Air Technology (OTA) of automobile-mounted equipment so that all automobiles with the same model as the automobile upgrade the first function corresponding relation into the second function corresponding relation; the seat position data and the HUD virtual image height data related to the embodiment of the invention are data of the same vehicle type; and issuing an online upgrade package to all the automobiles of the model through the OTA, wherein the online upgrade package comprises a second function corresponding relation.
Step S105: and acquiring third position data of a seat behind a driver adjusting the seat, determining third height data of the HUD virtual image according to the third position data and the second function corresponding relation, and automatically adjusting the height of the HUD virtual image to the third height data of the HUD virtual image.
Through the big data of car networking, collect user's seat position and HUD virtual image positional information to carry out regression analysis, and through the on-vehicle control system of OTA upgrading, realize control logic's update.
Specifically, after automatically adjusting the height of the virtual HUD image to the third height data of the virtual HUD image, the method further includes:
detecting whether manual adjustment information of the height data of the HUD virtual image by the driver is received;
if the detection result is yes, adjusting the third height data of the HUD virtual image according to the manual adjustment information to obtain fourth height data of the HUD virtual image;
after regression analysis is carried out again to update the corresponding relation, determining third height data of the HUD virtual image according to the third position data of the seat adjusted by the driver and the updated second function corresponding relation, and automatically adjusting the height of the HUD virtual image to the third height data; when this driver highly needs fine-tuning after to HUD virtual image automatically regulated, carry out manual regulation to third height data, make the fourth height data of highly satisfying the driver demand of HUD virtual image.
Storing a difference between the fourth height data and third height data;
acquiring fourth position data of a seat behind which the driver adjusts the seat again, determining fifth height data of the HUD virtual image according to the fourth position data, the second function corresponding relation and the stored difference value, and automatically adjusting the height of the HUD virtual image to the fifth height data of the HUD virtual image;
after manually adjusting the height of the HUD virtual image by a driver, in order to avoid manually fine-adjusting the height of the HUD virtual image again after the driver adjusts the seat position for the next time, storing a difference value between the fourth height data and the third height data, recording the fourth position data of the seat at the moment when the driver adjusts the seat again, and correcting an automatic adjustment result by combining the difference value to obtain fifth height data of the HUD virtual image; compared with the result of direct automatic adjustment without considering the difference, the HUD virtual image height corrected according to the difference can better meet the requirements of a driver, and the experience of the driver when the HUD virtual image height is automatically adjusted is improved.
And respectively taking the third position data of the seat behind the driver adjusting seat and the fourth height data of the HUD virtual image obtained after manually adjusting the height of the HUD virtual image as next position data and next height data, and performing regression analysis to determine the next function corresponding relation by taking the next position data and the next height data as a next set of driver data.
The fourth height data of the HUD virtual image manually adjusted by the driver corresponding to the third position data of the seat is more accurate than the third height data automatically adjusted and meets the requirements of the driver, so that the third position data of the seat and the fourth height data of the HUD virtual image correspondingly set are used as next position data and next height data to form a next group of driver data while storing the difference value between the fourth height data and the third height data, and after the preset time or the driver data reach the preset number, regression analysis is performed again through the obtained multiple groups of driver data to determine the corresponding relation of a next function;
through acquireing driver's data many times, combine seat position data that have obtained before and the HUD virtual image height data that corresponds the setting, carry out regression analysis again, can update the function corresponding relation that obtains before, this process is repeated, iterated constantly, can make automatically regulated's HUD virtual image height data reach the high position that driver needs more accurately, satisfies driver's demand.
Wherein the previous position data, the first position data, the second position data, the third position data and the fourth position data of the seat are position data of the seat collected under different conditions, the position data of the seat including at least 1 data. In one embodiment of the present invention, the position data of the seat includes 5 data, and the previous position data, the first position data, the second position data, the third position data, and the fourth position data of the seat each include a seat front-rear position, a seat front high-low position, a seat rear high-low position, a seat back pitch angle, and a seat lumbar support front-rear position;
the schematic diagram of the seat provided by the embodiment of the invention is shown in fig. 3, wherein the front and back positions of the seat are firstly, the rear high and low positions of the seat are secondly, the front high and low positions of the seat are thirdly, the pitching angle of the backrest of the seat is fourthly, and the waist support of the seat is thirdly in the front and back positions.
It should be noted that the position data of the seat of the present invention may further include the height, sex, steering wheel position, etc. of the driver, and any technical solution that automatically adjusts the height position of the virtual image of the HUD through the seat position according to the correlation between the seat position and the virtual image position of the HUD should be considered as falling within the protection scope of the present invention; by varying the form of data mentioned in the present invention, e.g. the pitch angle x of the seat back4Replacement is sin (x)4) Or cos (x)4) The like, and other similar solutions as contemplated in the art are also within the scope of the present invention; recombining positional information, e.g. setting the high and low positions in front of the seat to x2The high and low positions behind the seat are x3The recombination is expressed asAnd other similar arrangements as may occur in the industry are within the scope of the invention.
Specifically, the previous height data of the virtual image of the HUD that is set correspondingly is previous height data of the virtual image of the HUD that is set correspondingly to the previous position data of the seat. The preceding height data of HUD virtual image and the preceding position data of seat are mutual corresponding, for the degree of accuracy that improves the correlation between the seat position that calculates and the HUD virtual image position, when gathering multiunit data, gather the driver's of a large amount of different heights, stature, sex, race seat position and the HUD image height information that corresponds.
From the above description, it can be seen that the present invention achieves the following technical effects:
the new corresponding relation determined in the embodiment of the invention is not only based on the seat position and the HUD virtual image height acquired previously, but also comprises the seat position after the seat is adjusted by the driver and the height data after the HUD virtual image height is manually adjusted, so that the accuracy of automatically adjusting the HUD virtual image height can be improved and the use experience of the driver can be improved due to the new corresponding relation between the seat position and the HUD virtual image height, the driver can manually adjust the HUD virtual image only under the condition that the height data of the automatically adjusted HUD virtual image needs to be finely adjusted, the time and the times of manual adjustment of the driver are reduced, and the driving safety is ensured;
updating and upgrading the corresponding relation stored by the same type of automobile into a new corresponding relation between the seat position and the HUD virtual image height through an online upgrading function OTA of automobile-mounted equipment, and automatically adjusting the height of the HUD virtual image according to the adjusted seat position and the new corresponding relation after the driver adjusts the seat; after confirming new corresponding relation between seat position and the HUD virtual image height, through the on-vehicle OTA of car upgrading, the control logic of the same model car of update compares with original corresponding relation, can further make the HUD virtual image height after the automatically regulated accord with driver's driving custom more, and accurately ground automatically regulated HUD virtual image height is fit for the driver more, reduces the extra manual regulation of driver.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
An embodiment of the present invention further provides an apparatus for automatically adjusting a virtual image height of a vehicle-mounted HUD, which is used for implementing the above method for automatically adjusting a virtual image height of a vehicle-mounted HUD, and as shown in fig. 4, the apparatus includes:
a first determination unit 41 for determining a first functional correspondence between previous position data of the seat and previous height data of the correspondingly set virtual HUD image;
the acquiring unit 42 is configured to acquire first position data of a rear seat of a seat adjusted by a driver, and determine first height data of a HUD virtual image according to the first position data, a first function correspondence relationship, and manual adjustment information of the height of the HUD virtual image by the driver;
a second determining unit 43 for determining a second functional correspondence between second position data of the seat, including previous position data and first position data, and second height data of the correspondingly arranged virtual HUD image, including previous height data and first height data;
the upgrading unit 44 is configured to issue the second function corresponding relationship to all automobiles with the same model as the automobile through the OTA of the automobile-mounted device, so that all automobiles with the same model as the automobile upgrade the first function corresponding relationship into the second function corresponding relationship;
and the automatic adjusting unit 45 is used for acquiring third position data of a seat behind which a driver adjusts the seat, determining third height data of the HUD virtual image according to the third position data and the second function corresponding relation, and automatically adjusting the height of the HUD virtual image to the third height data of the HUD virtual image.
An embodiment of the present invention further provides an electronic device, as shown in fig. 5, the electronic device includes one or more processors 51 and a memory 52, where one processor 51 is taken as an example in fig. 5.
The controller may further include: an input device 53 and an output device 54.
The processor 51, the memory 52, the input device 53 and the output device 54 may be connected by a bus or other means, and fig. 5 illustrates the connection by a bus as an example.
The Processor 51 may be a Central Processing Unit (CPU), the Processor 51 may also be other general-purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, or any combination thereof, and the general-purpose Processor may be a microprocessor or any conventional Processor.
The memory 52, which is a non-transitory computer readable storage medium, may be used for storing non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the control method in the embodiment of the present invention. The processor 51 executes various functional applications of the server and data processing by running non-transitory software programs, instructions and modules stored in the memory 52, that is, implements the automatic adjustment method for the virtual image height of the in-vehicle HUD of the above-described method embodiment.
The memory 52 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of a processing device operated by the server, and the like. Further, the memory 52 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 52 may optionally include memory located remotely from the processor 51, which may be connected to a network connection device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 53 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the processing device of the server. The output device 54 may include a display device such as a display screen.
One or more modules are stored in the memory 52, which when executed by the one or more processors 51 perform the method as shown in fig. 1.
Those skilled in the art will appreciate that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and the processes of the embodiments of the motor control methods described above can be included when the computer program is executed. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (FM), a Hard Disk (Hard Disk Drive, HDD), or a Solid-State Drive (SSD); the storage medium may also comprise a combination of memories of the kind described above.
Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.
Claims (10)
1. The automatic adjusting method for the virtual image height of the vehicle-mounted HUD is characterized by comprising the following steps of:
determining a first functional correspondence between previous position data of the seat and previous height data of a correspondingly disposed virtual HUD image;
acquiring first position data of a rear seat of a driver seat, and determining first height data of an HUD virtual image according to the first position data, a first function corresponding relation and manual adjustment information of the driver to the height of the HUD virtual image;
determining a second functional correspondence between second position data of the seat, including previous position data and first position data, and second height data of a correspondingly disposed virtual image of the HUD, including previous height data and first height data;
the second function corresponding relation is issued to all automobiles with the same model as the automobile through the OTA of the automobile-mounted equipment, so that all automobiles with the same model as the automobile upgrade the first function corresponding relation into the second function corresponding relation;
and acquiring third position data of a seat behind a driver adjusting the seat, determining third height data of the HUD virtual image according to the third position data and the second function corresponding relation, and automatically adjusting the height of the HUD virtual image to the third height data of the HUD virtual image.
2. The method of claim 1, wherein said determining a first functional correspondence between previous position data for a seat and previous height data for a correspondingly positioned virtual HUD image comprises:
taking the previous position data of the seat and the previous height data of the correspondingly arranged HUD virtual image as a group of previous data, and collecting a plurality of groups of previous data;
a regression analysis is performed based on the plurality of sets of previous data collected to determine a first functional correspondence between previous position data of the seat and previous height data of a correspondingly disposed virtual HUD image.
3. The method of claim 2, wherein determining first height data for the virtual HUD image from the first position data, the first functional correspondence, and the manual adjustment information for the height of the virtual HUD image by the driver comprises:
determining automatic height data of the HUD virtual image according to the corresponding relation between the first position data and the first function;
acquiring manual adjustment information of the driver on automatic height data of the HUD virtual image;
and adjusting the automatic height data of the HUD virtual image according to the manual adjustment information to obtain first height data of the HUD virtual image after the driver manually adjusts the automatic height data.
4. The method of claim 3, wherein determining a second functional correspondence between second position data for the seat and second height data for a correspondingly disposed virtual HUD image comprises:
the method comprises the steps that first position data of a seat and first height data of a correspondingly arranged HUD virtual image are used as a group of driver data after a driver adjusts the seat and manually adjusts the height of the HUD virtual image, and multiple groups of driver data are obtained;
and performing regression analysis based on the collected multiple groups of previous data and the obtained multiple groups of driver data, and determining a second function corresponding relation between second position data of the seat and second height data of the correspondingly arranged HUD virtual image.
5. The method of claim 2, wherein said performing a regression analysis based on the plurality of sets of previous data collected to determine a first functional correspondence between previous position data of the seat and previous height data of a correspondingly disposed virtual HUD image comprises:
based on the sets of previous data collected, a regression analysis is performed using the following equation:
y=f(x1,x2,…,xi,…,xn)+ξ
wherein x isiIs the ith data among the previous position data of the seat, n is a positive integer of 1 or more, f (x)1,x2,…,xi,…,xn) Is a first functional correspondence between previous position data of the seat and previous height data of a correspondingly disposed virtual HUD image, ξ represents an error term, y is the previous height data of the correspondingly disposed virtual HUD image;
after regression analysis is carried out, a first function corresponding relation between the previous position data of the seat and the previous height data of the correspondingly arranged HUD virtual image is obtained;
when the first function correspondence is a linear function, y is expressed as:
y=β0+β1*x1+β2*x2+…+βi*xi…+βn*xn+ξ
wherein, beta0Is a constant, representing the intercept term, βiFor the ith influence coefficient, x is expressediThe degree of influence on y.
6. The method of claim 1, wherein after automatically adjusting the height of the virtual HUD image to the third height data for the virtual HUD image, the method further comprises:
detecting whether manual adjustment information of the height data of the HUD virtual image by the driver is received;
if the detection result is yes, adjusting the third height data of the HUD virtual image according to the manual adjustment information to obtain fourth height data of the HUD virtual image;
storing a difference between the fourth height data and third height data;
acquiring fourth position data of a seat behind which the driver adjusts the seat again, determining fifth height data of the HUD virtual image according to the fourth position data, the second function corresponding relation and the stored difference value, and automatically adjusting the height of the HUD virtual image to the fifth height data of the HUD virtual image;
and respectively taking the third position data of the seat behind the driver adjusting seat and the fourth height data of the HUD virtual image obtained after manually adjusting the height of the HUD virtual image as next position data and next height data, and performing regression analysis to determine the next function corresponding relation by taking the next position data and the next height data as a next set of driver data.
7. The method of claim 6, wherein the previous position data, the first position data, the second position data, the third position data, and the fourth position data for the seat each include a seat fore-aft position, a seat front high-low position, a seat rear high-low position, a seat back pitch angle, and a seat lumbar support fore-aft position;
the previous height data of the virtual image of the correspondingly set HUD is previous height data of the virtual image of the set HUD corresponding to the previous position data of the seat.
8. The utility model provides an automatic regulating apparatus of on-vehicle HUD virtual image height which characterized in that includes:
a first determination unit for determining a first functional correspondence between previous position data of the seat and previous height data of a correspondingly set virtual HUD image;
the acquiring unit is used for acquiring first position data of a rear seat of a driver adjusting the seat, and determining first height data of the HUD virtual image according to the first position data, the first function corresponding relation and manual adjusting information of the driver for the height of the HUD virtual image;
a second determination unit for determining a second functional correspondence between second position data of the seat, including previous position data and first position data, and second height data of a correspondingly provided virtual HUD image, including previous height data and first height data;
the upgrading unit is used for issuing the second function corresponding relation to all automobiles with the same model as the automobile through the OTA of the automobile-mounted equipment so as to upgrade the first function corresponding relation to the second function corresponding relation by all the automobiles with the same model as the automobile;
and the automatic adjusting unit is used for acquiring third position data of a seat behind which a driver adjusts the seat, determining third height data of the HUD virtual image according to the third position data and the second function corresponding relation, and automatically adjusting the height of the HUD virtual image to the third height data of the HUD virtual image.
9. A computer-readable storage medium storing computer instructions for causing a computer to perform the method for automatically adjusting the height of a virtual image of a vehicle-mounted HUD according to any one of claims 1-7.
10. An electronic device, characterized in that the electronic device comprises: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores a computer program executable by the at least one processor to cause the at least one processor to perform the method of automatically adjusting a virtual image height of an in-vehicle HUD of any of claims 1-7.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110605528.1A CN113221071A (en) | 2021-05-31 | 2021-05-31 | Automatic adjusting method and device for vehicle-mounted HUD virtual image height and electronic equipment |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110605528.1A CN113221071A (en) | 2021-05-31 | 2021-05-31 | Automatic adjusting method and device for vehicle-mounted HUD virtual image height and electronic equipment |
Publications (1)
Publication Number | Publication Date |
---|---|
CN113221071A true CN113221071A (en) | 2021-08-06 |
Family
ID=77081887
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110605528.1A Pending CN113221071A (en) | 2021-05-31 | 2021-05-31 | Automatic adjusting method and device for vehicle-mounted HUD virtual image height and electronic equipment |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113221071A (en) |
Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN205997802U (en) * | 2016-08-31 | 2017-03-08 | 上海伟世通汽车电子系统有限公司 | Vehicle-mounted head-up-display system based on pilot set change in location |
CN109094491A (en) * | 2018-06-29 | 2018-12-28 | 深圳市元征科技股份有限公司 | Method of adjustment, device, system and the terminal device of vehicle part |
CN109927655A (en) * | 2019-04-16 | 2019-06-25 | 东风小康汽车有限公司重庆分公司 | The method of adjustment and device of drive parameter, automobile |
CN110789453A (en) * | 2019-11-13 | 2020-02-14 | 一汽轿车股份有限公司 | Driver head-up display system |
CN110928517A (en) * | 2018-09-20 | 2020-03-27 | 比亚迪股份有限公司 | Volume adjustment method, device and storage medium |
US20200117010A1 (en) * | 2018-10-16 | 2020-04-16 | Hyundai Motor Company | Method for correcting image distortion in a hud system |
DE102018217611A1 (en) * | 2018-10-15 | 2020-04-16 | Volkswagen Aktiengesellschaft | Concept for setting an adjustable component of a motor vehicle |
US20200166746A1 (en) * | 2018-11-26 | 2020-05-28 | International Business Machines Corporation | Heads up display system |
CN112308012A (en) * | 2020-11-13 | 2021-02-02 | 迈渥信息科技(上海)有限公司 | Intelligent driving sitting posture prediction system based on cloud |
CN112428936A (en) * | 2020-11-27 | 2021-03-02 | 奇瑞汽车股份有限公司 | Method and device for automatically adjusting parameters of head-up display |
CN215264807U (en) * | 2021-05-31 | 2021-12-21 | 北京乐驾科技有限公司 | Automatic adjusting system for vehicle-mounted HUD virtual image height |
-
2021
- 2021-05-31 CN CN202110605528.1A patent/CN113221071A/en active Pending
Patent Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN205997802U (en) * | 2016-08-31 | 2017-03-08 | 上海伟世通汽车电子系统有限公司 | Vehicle-mounted head-up-display system based on pilot set change in location |
CN109094491A (en) * | 2018-06-29 | 2018-12-28 | 深圳市元征科技股份有限公司 | Method of adjustment, device, system and the terminal device of vehicle part |
CN110928517A (en) * | 2018-09-20 | 2020-03-27 | 比亚迪股份有限公司 | Volume adjustment method, device and storage medium |
DE102018217611A1 (en) * | 2018-10-15 | 2020-04-16 | Volkswagen Aktiengesellschaft | Concept for setting an adjustable component of a motor vehicle |
US20200117010A1 (en) * | 2018-10-16 | 2020-04-16 | Hyundai Motor Company | Method for correcting image distortion in a hud system |
US20200166746A1 (en) * | 2018-11-26 | 2020-05-28 | International Business Machines Corporation | Heads up display system |
CN109927655A (en) * | 2019-04-16 | 2019-06-25 | 东风小康汽车有限公司重庆分公司 | The method of adjustment and device of drive parameter, automobile |
CN110789453A (en) * | 2019-11-13 | 2020-02-14 | 一汽轿车股份有限公司 | Driver head-up display system |
CN112308012A (en) * | 2020-11-13 | 2021-02-02 | 迈渥信息科技(上海)有限公司 | Intelligent driving sitting posture prediction system based on cloud |
CN112428936A (en) * | 2020-11-27 | 2021-03-02 | 奇瑞汽车股份有限公司 | Method and device for automatically adjusting parameters of head-up display |
CN215264807U (en) * | 2021-05-31 | 2021-12-21 | 北京乐驾科技有限公司 | Automatic adjusting system for vehicle-mounted HUD virtual image height |
Non-Patent Citations (2)
Title |
---|
吴振荣: "《统计学》", 31 July 2020, 北京理工大学出版社, pages: 186 - 188 * |
胡裕: "民航飞机HUD信息布局及色彩自适应设计", 中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑, no. 05, pages 031 - 113 * |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
DE102019115236B4 (en) | DEVICE FOR THE TREATMENT OF MOTION SICKNESS | |
DE102016123278A1 (en) | PERSONALIZING VEHICLE COMFORT SETTINGS FOR A PARTICULAR USER | |
DE102018100182A1 (en) | Occupant-specific autonomous vehicle control system and method | |
DE102014218050A1 (en) | Transition from autonomous vehicle control to driver control | |
DE102016107938A1 (en) | Predictive real-time speed control | |
DE202013002800U1 (en) | Control for an automobile seat | |
DE102012205915A1 (en) | Device for controlling the posture of a driver | |
CN112339622B (en) | Seat adjusting method and device and vehicle-mounted system | |
DE102020208191A1 (en) | Acquisition and processing of vehicle occupant data using artificial intelligence | |
DE102013203868A1 (en) | VEHICLE MONITORING DEVICE ENVIRONMENT | |
DE102018122188A1 (en) | METHOD AND DEVICE FOR GLOBALIZED PORTABLE INLAND VEHICLE SETTINGS | |
DE102014225699A1 (en) | DEVICE AND METHOD FOR ELIMINATING NOISE OR APPARATUS NOISE, SOUND RECOGNITION DEVICE WHICH USES THE DEVICE AND VEHICLE EQUIPPED WITH THE TUNING DETECTION DEVICE | |
DE112015003379T5 (en) | Systems and methods for an adaptive interface to enhance user experience in a vehicle | |
DE102018131805A1 (en) | DEVICE FOR DETECTING A FACIAL POSITION | |
DE102016105577A1 (en) | Data of remote sensors for vehicles | |
DE102018210902A1 (en) | Method for determining a setting value of a vehicle component | |
CN112163921A (en) | Shared automobile seat adjusting method and device and electronic equipment | |
CN113190802A (en) | Automatic adjusting method and device for vehicle-mounted HUD virtual image height and electronic equipment | |
DE102018203753A1 (en) | Method and device for robust localization of a vehicle | |
CN113221071A (en) | Automatic adjusting method and device for vehicle-mounted HUD virtual image height and electronic equipment | |
CN108459719B (en) | Hot scenic spot virtual scene pushing method in tunnel environment | |
CN112172451B (en) | Intelligent air conditioner adjusting method and system suitable for shared automobile | |
CN111196119B (en) | Method and device for controlling air conditioner on vehicle | |
DE102023121647A1 (en) | METHOD FOR MAINTAINING NETWORK SERVICE QUALITY FOR IN-VEHICLE APPLICATIONS | |
CN108519675B (en) | Scene display method combining head-mounted display equipment and unmanned vehicle |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |