CN111935428A - HUD image brightness adjusting system and implementation method - Google Patents
HUD image brightness adjusting system and implementation method Download PDFInfo
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Abstract
The invention provides a HUD image brightness adjusting system, which comprises: the environment brightness acquisition module is used for acquiring all information of environment brightness change in a target range and carrying out digital processing on the information; the front-end digital filtering module is used for receiving the digital signal output by the ambient brightness acquisition module and filtering the digital signal to truly reflect the change of the ambient brightness; the mapping calculation module is used for establishing a mapping relation between the environment brightness and the HUD image brightness, and the mapping relation is a control curve function covering the adjusting range; the rear-end digital filtering module is used for providing a control curve function for controlling the brightness change response of the HUD image so as to enable the brightness change process of the HUD image to be carried out softly and noninductively; and the backlight output control module is used for directly driving the HUD backlight to adjust through the signal output by the rear-end digital filtering module so as to indirectly control the change of the HUD image brightness. The invention improves the comfort level of users, reduces the change perception and improves the driving safety.
Description
Technical Field
The invention relates to the technical field of HUD images, in particular to a HUD image brightness adjusting system and an implementation method.
Background
The head Up digital Display (HUD) is used for displaying on a windscreen, and is also called a head Up Display system, and important information (such as data of vehicle speed, navigation, vehicle conditions and the like) can be mapped on a holographic half mirror on the windscreen, so that a driver can clearly see the important information without lowering his head.
In the existing HUD backlight adjusting method, an automatic photosensitive response curve is simply calibrated. Although the technology and experience are improved compared with the earliest technology without automatic brightness adjustment or manual brightness adjustment, the external complicated and variable scene change still cannot be met. For example, chinese patent publication No. CN106409235A discloses "a method and an apparatus for adjusting the backlight of a HUD of a vehicle", which adjusts the backlight intensity of the HUD by collecting the ambient light intensity and converting it into a digital signal, and outputting a PWM signal according to the identified digital signal to control and convert it into a corresponding voltage signal. However, it cannot achieve a good brightness adjustment effect in response to different light source changes in cities at daytime and night.
In addition, the direct calibration from the ambient light brightness input to the display image brightness is not completed in the calibration process, the calibration result is still influenced by other system factors, and the calibration process is relatively complicated. These ultimately affect the user experience such that it is not comfortable to adjust, but the user does not perceive the change.
Disclosure of Invention
In order to solve the problems of high complexity of HUD image brightness adjustment, difficult implementation of a calibration mode and poor effect in the prior art, the invention provides a HUD image brightness adjustment system and an implementation method, and multi-scene self-adaptive adjustment of the HUD image brightness can be realized.
The invention provides a HUD image brightness adjusting system in a first aspect, comprising:
the environment brightness acquisition module is used for acquiring all information of environment brightness change in a target range and carrying out digital processing on the information;
the signal input end of the front-end digital filtering module is connected with the output end of the environment brightness acquisition module and is used for receiving the digital signal output by the environment brightness acquisition module and filtering the digital signal so as to truly reflect the change of the environment brightness;
the mapping calculation module is connected with the front-end digital filtering module and used for establishing a mapping relation from the ambient brightness to the HUD image brightness, and the mapping relation is a control curve function covering an adjusting range;
the rear-end digital filtering module is connected with the mapping calculation module and provides the control curve function for controlling the brightness change response of the HUD image so that the brightness change process of the HUD image can be performed softly and noninductively;
and the backlight output control module is connected with the rear-end digital filtering module, and directly drives the HUD backlight to adjust through the signal output by the rear-end digital filtering module so as to realize the change of indirectly controlling the HUD image brightness.
Optionally, the ambient brightness acquisition module includes an ambient brightness sensor, and the ambient brightness sensor acquires the current ambient light illuminance E according to the following formula:
where Range (k) is the target Range, Rext is the tuning resistance, n is the predetermined tuning order, and DATA is the illumination.
Optionally, the front-end digital filtering module performs smoothing filtering by using a moving average filtering algorithm.
Optionally, the mapping calculation module includes an automatic brightness adjustment mode unit and a manual brightness adjustment mode unit;
wherein the control curve function of the automatic brightness adjustment mode unit is:
y＝40*x^0.5+10；
wherein, the control curve function of the manual brightness adjustment mode unit is as follows:
an＝a1*q(n-1)＝0.5*1.31(n-1)and n is a preset adjusting stage number.
Optionally, the automatic brightness adjustment mode unit is converted into the manual brightness adjustment mode unit by the following formula:
manuGrade＝log1.31pwm/0.5；
transform by log-base-inversion:
optionally, when there is an output jump, the back-end digital filtering module performs interpolation calculation by using a smoothing filtering algorithm to achieve smoothing of brightness adjustment.
Optionally, the backlight output control module adjusts the light emitting intensity of the backlight LED by using a duty ratio of PWM input by the display screen backlight.
The second aspect of the present invention provides an implementation method of a HUD image brightness adjustment system, including:
step 1, collecting all the information of the environmental brightness change in a target range, and carrying out digital processing on the information;
step 2, filtering the digital signal subjected to the digital processing to truly reflect the change of the ambient brightness;
step 3, establishing a mapping relation between the ambient brightness and the HUD image brightness, wherein the mapping is a control curve function covering the adjusting range;
step 4, controlling the continuous curve of the HUD image brightness change response to enable the HUD image brightness change process to be carried out softly and noninductively;
and 5, driving the HUD backlight to adjust so as to indirectly control the brightness change of the HUD image.
Optionally, in step 3, the control curve function includes a control curve function using an automatic brightness adjustment mode and a control curve function using a manual brightness adjustment mode, and specifically includes:
wherein, the control curve function adopting the automatic brightness adjusting mode is as follows:
y＝40*x^0.5+10；
wherein, the control curve function adopting the manual brightness adjusting mode is as follows:
an＝a1*q(n-1)＝0.5*1.31(n-1)n is a preset adjusting stage number;
wherein the automatic brightness adjustment mode is converted into a manual brightness adjustment mode by the following formula:
manuGrade＝log1.31pwm/0.5；
transform by log-base-inversion:
optionally, the method further comprises:
adopt artifical demarcation mode or automatic demarcation mode to adjust HUD image brightness, specifically include:
adopting a manual calibration mode, when the vehicle where the HUD is moved changes the ambient brightness, manually adjusting the brightness of the HUD image, and recording ambient brightness sensor data and HUD backlight control output data when the HUD image is adjusted to be clear;
and reading the ambient brightness and the HUD imaging brightness by adopting an automatic calibration mode and adopting a brightness detection device to determine the brightness contrast, calculating and adjusting the HUD imaging brightness by using a calibration device, and recording output data of the calibration device when the brightness contrast is met.
In summary, it can be seen that, in the embodiment provided by the invention, the adjustment of the HUD image brightness is realized through the provided brightness mapping curve, the calibration mode and the like, so that the comfort level of a user is improved, the change perception is reduced, and the driving safety is improved.
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FIG. 1 is a schematic diagram of a HUD image brightness adjustment system according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an interpolation algorithm of a back-end digital filter module according to an embodiment of the present invention;
fig. 3 is a schematic flowchart of an implementation method of the HUD image brightness adjustment system according to an embodiment of the present invention;
fig. 4 is a schematic flow chart of a calibration scheme provided in an embodiment of the present invention.
Detailed Description
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.
The terms "first", "second" in the description and claims of the invention and the above-described drawings "
Etc. are used to distinguish between similar objects and not necessarily to describe a particular order or sequence. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Furthermore, the terms "comprise" and "have," and any variations thereof, are intended to cover non-exclusive inclusions, such that a process, method, system, article, or apparatus that comprises a list of steps or modules is not necessarily limited to those steps or modules expressly listed, but may include other steps or modules not expressly listed or inherent to such process, method, article, or apparatus, wherein the division into blocks presented herein is merely a logical division and may be implemented in a practical application in a different manner, such that multiple blocks may be combined or integrated into another system or some feature vectors may be omitted or not implemented, and such that mutual or direct coupling or communicative coupling between blocks shown or discussed may be through interfaces, and indirect coupling or communicative coupling between blocks may be electrical or other similar, the present invention is not limited to these examples. The modules or sub-modules described as separate parts may or may not be physically separated, may or may not be physical modules, or may be distributed in a plurality of circuit modules, and some or all of the modules may be selected according to actual needs to achieve the purpose of the present invention.
The HUD image must be clearly visible at an accurate position, and by ensuring the correctness of the position, color, brightness and definition of the HUD image, the perception of the driver to the surrounding environment can be strengthened, and errors which possibly cause distraction of the driver are reduced as much as possible.
First, referring to fig. 1, fig. 1 is a schematic diagram of a HUD image brightness adjustment system according to an embodiment of the present invention, and fig. 1 is a schematic diagram of the HUD image brightness adjustment system, including an ambient brightness acquisition module 101, a front-end digital filtering module 102, a mapping calculation module 103, a rear-end digital filtering module 104, and a backlight output control module 105.
The ambient brightness acquisition module 101 is configured to acquire information of all ambient brightness changes within a target range, and perform digital processing on the information.
In this embodiment, the ambient brightness acquisition module 101 includes an ambient brightness sensor, and the ambient brightness sensor acquires the current ambient illuminance E according to the following formula:
where Range (k) is the target Range, Rext is the tuning resistance, n is the predetermined tuning order, and DATA is the illumination.
In this embodiment, the data processing period may be set to 50ms for the requirement of smoothing the output of the front-end digital filtering module 102.
In one embodiment of the present invention,
inputting parameters: and acquiring the current ambient light E.
Setting currently: n is 16; range (k) 62272; rext ═ 100k Ω;
then the following is calculated according to the above formula:
E＝62272/65536×DATA≈0.95×DATA。
the signal input end of the front-end digital filtering module 102 is connected to the output end of the ambient brightness acquisition module 101, and is configured to receive the digital signal output by the ambient brightness acquisition module 101, and perform filtering processing on the digital signal to truly reflect the change of the ambient brightness.
Specifically, the front-end digital filtering module 102 filters the digital signal input by the ambient brightness acquisition module 101, and eliminates noise, so that the change of the ambient brightness can be truly reflected.
In this embodiment, the front-end digital filtering module 102 performs smooth filtering on the value obtained by the ambient brightness sensor to reduce the influence of interference light and possible error of the ambient brightness sensor. The front-end digital filtering module 102 may use a moving average filtering algorithm to perform smooth filtering, which may reduce interference, may respond quickly, and may adjust the sampling period and the number of data participating in calculation according to the actual situation.
The mapping calculation module 103 is connected to the front-end digital filtering module 102, and the mapping calculation module 103 is configured to establish a mapping relationship between the ambient brightness and the HUD image brightness, where the mapping relationship is a control curve function covering the adjustment range.
In this embodiment, the mapping calculation module 103 includes an automatic brightness adjustment mode unit and a manual brightness adjustment mode unit, and the mapping calculation module 103 can realize calculation of the automatic brightness adjustment mode unit and the manual brightness adjustment mode unit, and can also realize switching between the automatic brightness adjustment mode unit and the manual brightness adjustment mode unit.
It should be noted that calibration mainly refers to using a standard measuring instrument to detect whether the accuracy (precision) of the used instrument meets the standard, and is generally used for instruments with higher precision. Calibration may also be considered calibration. Therefore, the term "calibration" may be considered to include both of the above meanings.
In this embodiment, the automatic brightness adjustment mode unit adopts a simple calibration method, the automatic brightness adjustment algorithm is obtained by fitting, and the fitting function is as follows through testing a data fitting curve:
y＝279.82*x^0.3318；
to reduce the computational complexity, the control curve function that can be used in this embodiment is:
y＝40*x^0.5+10。
in one embodiment, it is tested that when the duty ratio of the PWM (Pulse Width Modulation) output is adjusted to about 10%, the brightness change is more suitable for the naked eye. The final formula after adding the auto-tune level is:
y＝a*(40*x^0.5+10)，a∈[0.5,1.5]。
in this embodiment, the manual brightness adjustment mode unit may obtain an exponential relationship between the manual stage number and the PWM duty ratio according to the current test experience.
Based on the above conclusion, the present embodiment adds 31% or subtracts 31% to the current basic PWM, and when the number of adjustment steps changes by one step, the present embodiment is consistent with the manual adjustment in the automatic brightness adjustment mode. The base luminance was set to a duty ratio of 0.5%.
In summary, the relationship is determined as an equal ratio sequence, and the control curve function of the manual brightness adjustment mode unit is:
an＝a1*q(n-1)＝0.5*1.31(n-1)and n is a preset adjusting stage number.
When the common ratio of the geometric series is 1.31, the manual brightness adjusting mode can set the adjustment level of 21, and if the adjustment level needs to be increased, the common ratio is decreased.
In this embodiment, when the automatic brightness adjustment mode needs to be converted into the manual brightness adjustment mode, the automatic brightness adjustment mode is converted into the manual brightness adjustment mode by the following formula:
manuGrade＝log1.31pwm/0.5；
transform by log-base-inversion:
the rear-end digital filtering module 104 is connected to the mapping calculation module 103, and provides a control curve function for controlling the HUD image brightness change response, so that the HUD image brightness change process can be performed softly and invisibly.
Specifically, if there is a jump in the output due to the selection of the control algorithm, a smoothing filtering may be performed again. And when output jump exists, performing interpolation calculation by adopting a smoothing filtering algorithm, and finally realizing the smoothness of brightness adjustment.
In one embodiment, because there is an output jump when the light changes drastically, the backend digital filter module 104 is added to perform interpolation calculation by using a smooth filter algorithm, and a specific interpolation algorithm is shown in fig. 2, where fig. 2 is a schematic diagram of an interpolation algorithm of the backend digital filter module provided by the embodiment of the present invention, and includes the following steps:
and setting the data processing period to be 50ms, wherein A is the current PWM calculated value, and B is the current PWM output value.
And step 202, setting C to be 0.05B.
And step 204, if A is larger than B, judging whether A-B is larger than C.
If A-B is less than or equal to C, then A is assigned to B, step 205.
If A-B is greater than C, B + C is assigned to B, step 206.
And step 207, judging whether B-A is larger than C.
And step 208, if B-A is larger than C, assigning B-C to B.
If B-A is less than or equal to C, step 209, assign A to B.
The backlight output control module 105 is connected to the rear-end digital filtering module 104, and the signal output by the rear-end digital filtering module 104 directly drives the HUD backlight to adjust so as to indirectly control the change of the HUD image brightness.
In this embodiment, PWM is the input that the display screen is shaded, and LED's luminous intensity is shaded to duty cycle adjustment HUD through PWM influences the formation of image luminance through the light path.
In one embodiment, the PWM accuracy is 0.01% and the frequency is 133 Hz.
In view of this, the present invention provides an implementation method of a HUD image brightness adjustment system, which is applied to the HUD image brightness adjustment system of the present invention.
The following describes a schematic flow chart of the implementation method of the HUD image brightness adjustment system according to the embodiment of the present invention with reference to fig. 3:
the implementation method of the HUD image brightness adjusting system provided by the embodiment of the invention comprises the following steps:
In this embodiment, the control curve function includes a control curve function in an automatic brightness adjustment mode and a control curve function in a manual brightness adjustment mode, and specifically includes:
wherein, the control curve function adopting the automatic brightness adjusting mode is as follows:
y＝40*x^0.5+10；
wherein, the control curve function adopting the manual brightness adjusting mode is as follows:
an＝a1*q(n-1)＝0.5*1.31(n-1)n is a preset adjusting stage number;
wherein the automatic brightness adjustment mode is converted into a manual brightness adjustment mode by the following formula:
manuGrade＝log1.31pwm/0.5；
transform by log-base-inversion:
and step 304, the rear-end digital filtering module controls the continuous curve of the HUD image brightness change response so that the HUD image brightness change process can be carried out softly and noninductively.
And step 305, driving the HUD backlight adjustment by the backlight output control module to realize indirect control of the brightness change of the HUD image.
In an embodiment, based on the HUD image brightness adjustment system and the implementation method, in order to solve the technical problem that the input of the ambient brightness acquisition module is not accurate enough due to the large change of the external light source in multiple scenes, especially in the daytime and at night, the embodiment of the present invention provides the following solutions:
and (4) making two image brightness control strategies under the condition that the HUD carrier is used for starting lamplight. The brightness control is composed of a master control part and a slave part, the master control part can adjust brightness change in a full range, and the slave part can only influence the brightness change in a certain range of positive and negative on the basis of the existing brightness.
Strategy one: master manual adjustment + slave automatic fine adjustment while reducing the rate of brightness change.
In strategy one, the target brightness interval is divided into multiple levels, for example, 30 levels. And the brightness of each level is taken as basic brightness, the fine adjustment of the automatic brightness is superposed on the basic brightness, and the size of the automatic fine adjustment is changed according to the ambient brightness.
And (2) strategy two: master auto adjust + slave manual trim.
In the second strategy, the whole target brightness interval is directly controlled by the environment brightness mapping, and the function coefficient of the mapping control curve is modified during manual adjustment, so that the whole mapping curve is reduced or increased in the rectangular coordinate system. For coefficient modification, it is necessary to set a corresponding number of stages, for example, 30 stages, within a certain range.
The two strategies adopt a strategy one when the light is turned on; and adopting a second strategy when the light is turned off.
In one embodiment, based on the HUD image brightness adjustment system and the implementation method, the complexity is high, the suspected influence factors are too many, and it is difficult to directly obtain the mapping relationship in step 303, so that the following two calibration schemes are proposed in another embodiment of the present invention (as shown in fig. 4):
and step 402, a manual calibration mode.
In the actual use environment, constantly change ambient brightness (need cover whole target brightness interval) through the position of the vehicle that removes the HUD and locate, manual adjustment HUD image brightness after ambient brightness changes, when adjusting to the clear visible and comfortable suitable for people's eye of image content, record ambient brightness sensor data and control output data in a poor light.
According to the method, multi-user multi-group data are obtained at intervals as equal as possible in the target brightness interval, and after enough data are obtained, the data are fitted to obtain a control curve function, such as: and y is x ^ 0.5.
And step 403, automatic calibration mode.
For artifical demarcation mode, whether the automatic demarcation mode need not go to judge HUD display brightness suitable by the people, need use a luminance check out test set to read ambient brightness and HUD formation of image luminance, confirms luminance contrast, calculates the adjustment formation of image luminance by oneself through calibration equipment, records this calibration equipment's output data when satisfying luminance contrast, and other links are unanimous with artifical demarcation mode.
In summary, it can be seen that, in the embodiment provided by the invention, the adjustment of the HUD image brightness is realized through the provided brightness mapping curve, the calibration mode and the like, so that the comfort level of a user is improved, the change perception is reduced, and the driving safety is improved.
The embodiment of the present invention further provides a computer-readable storage medium, on which a program is stored, where the program, when executed by a processor, implements the steps of the implementation method of the HUD image brightness adjustment system.
The embodiment of the invention also provides a processor, wherein the processor is used for running a program, and the program executes the steps of the implementation method of the HUD image brightness adjusting system when running.
The embodiment of the present invention further provides a terminal device, where the device includes a processor, a memory, and a program stored in the memory and capable of running on the processor, and the program code is loaded and executed by the processor to implement the steps of the implementation method of the HUD image brightness adjustment system.
The invention also provides a computer program product adapted to perform the steps of the method for implementing the HUD image brightness adjustment system described above when executed on a data processing device.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the apparatus and the module described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above are merely examples of the present invention, and are not intended to limit the present invention. Various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.
Claims (10)
1. A HUD image brightness adjustment system, comprising:
the environment brightness acquisition module is used for acquiring all information of environment brightness change in a target range and carrying out digital processing on the information;
the signal input end of the front-end digital filtering module is connected with the output end of the environment brightness acquisition module and is used for receiving the digital signal output by the environment brightness acquisition module and filtering the digital signal so as to truly reflect the change of the environment brightness;
the mapping calculation module is connected with the front-end digital filtering module and used for establishing a mapping relation from the ambient brightness to the HUD image brightness, and the mapping relation is a control curve function covering an adjusting range;
the rear-end digital filtering module is connected with the mapping calculation module and provides the control curve function for controlling the brightness change response of the HUD image so that the brightness change process of the HUD image can be performed softly and noninductively;
and the backlight output control module is connected with the rear-end digital filtering module, and directly drives the HUD backlight to adjust through the signal output by the rear-end digital filtering module so as to realize the change of indirectly controlling the HUD image brightness.
2. The HUD image brightness adjustment system according to claim 1, wherein the ambient brightness acquisition module includes an ambient brightness sensor, and the ambient brightness sensor acquires the current ambient light illuminance E according to the following formula:
where Range (k) is the target Range, Rext is the tuning resistance, n is the predetermined tuning order, and DATA is the illumination.
3. The HUD image brightness adjustment system of claim 1, wherein the front-end digital filter module employs a moving average filter algorithm for smoothing filtering.
4. The HUD image brightness adjustment system according to claim 1, wherein the mapping calculation module includes an automatic brightness adjustment mode unit and a manual brightness adjustment mode unit;
wherein the control curve function of the automatic brightness adjustment mode unit is:
y＝40*x^0.5+10；
wherein, the control curve function of the manual brightness adjustment mode unit is as follows:
an＝a1*q(n-1)＝0.5*1.31(n-1)and n is a preset adjusting stage number.
5. The HUD image brightness adjustment system according to claim 4, wherein the automatic brightness adjustment mode unit is converted into the manual brightness adjustment mode unit by the following formula:
manuGrade＝log1.31pwm/0.5；
transform by log-base-inversion:
6. the HUD image brightness adjustment system of claim 1, wherein the back-end digital filter module performs interpolation using a smoothing filter algorithm to achieve brightness adjustment smoothing when there is an output jump.
7. The HUD image brightness adjustment system of claim 1, wherein the backlight output control module adjusts the light intensity of the backlight LED using a duty cycle of PWM input by the display screen backlight.
8. An implementation method of a HUD image brightness adjusting system is characterized by comprising the following steps:
step 1, collecting all the information of the environmental brightness change in a target range, and carrying out digital processing on the information;
step 2, filtering the digital signal subjected to the digital processing to truly reflect the change of the ambient brightness;
step 3, establishing a mapping relation between the ambient brightness and the HUD image brightness, wherein the mapping is a control curve function covering the adjusting range;
step 4, controlling the continuous curve of the HUD image brightness change response to enable the HUD image brightness change process to be carried out softly and noninductively;
and 5, driving the HUD backlight to adjust so as to indirectly control the brightness change of the HUD image.
9. The method according to claim 8, wherein in step 3, the control curve functions include a control curve function in an automatic brightness adjustment mode and a control curve function in a manual brightness adjustment mode, specifically:
wherein, the control curve function adopting the automatic brightness adjusting mode is as follows:
y＝40*x^0.5+10；
wherein, the control curve function adopting the manual brightness adjusting mode is as follows:
an＝a1*q(n-1)＝0.5*1.31(n-1)n is a preset adjusting stage number;
wherein the automatic brightness adjustment mode is converted into a manual brightness adjustment mode by the following formula:
manuGrade＝log1.31pwm/0.5；
transform by log-base-inversion:
10. the method for implementing the HUD image brightness adjustment system according to claim 8, further comprising:
adopt artifical demarcation mode or automatic demarcation mode to adjust HUD image brightness, specifically include:
adopting a manual calibration mode, when the vehicle where the HUD is moved changes the ambient brightness, manually adjusting the brightness of the HUD image, and recording ambient brightness sensor data and HUD backlight control output data when the HUD image is adjusted to be clear;
and reading the ambient brightness and the HUD imaging brightness by adopting an automatic calibration mode and adopting a brightness detection device to determine the brightness contrast, calculating and adjusting the HUD imaging brightness by using a calibration device, and recording output data of the calibration device when the brightness contrast is met.
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