CN109960034B - System and method for adjusting brightness of head-up display - Google Patents
System and method for adjusting brightness of head-up display Download PDFInfo
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- CN109960034B CN109960034B CN201711418982.6A CN201711418982A CN109960034B CN 109960034 B CN109960034 B CN 109960034B CN 201711418982 A CN201711418982 A CN 201711418982A CN 109960034 B CN109960034 B CN 109960034B
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- 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
- G02B27/0101—Head-up displays characterised by optical features
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G5/00—Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators
- G09G5/10—Intensity circuits
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- 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
- G02B27/0101—Head-up displays characterised by optical features
- G02B2027/0118—Head-up displays characterised by optical features comprising devices for improving the contrast of the display / brillance control visibility
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- 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
- G02B27/0101—Head-up displays characterised by optical features
- G02B2027/014—Head-up displays characterised by optical features comprising information/image processing systems
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- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
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Abstract
The invention belongs to the technical field of head-up displays, and provides a head-up display brightness adjusting system and method, wherein the head-up display brightness adjusting system comprises a training unit, an image acquisition unit, a pattern recognition unit, an ambient light sensor, a central processing unit, an image generation unit and an optical display unit, wherein the training unit and the image acquisition unit are both connected with the pattern recognition unit, the pattern recognition unit is connected with the central processing unit, the ambient light sensor is connected with the central processing unit, the central processing unit is connected with the image generation unit, and the image generation unit is connected with the optical display unit; due to the arrangement of the training unit, the pattern recognition unit and the image acquisition unit, the central processing unit can rapidly determine the brightness of the projection image, so that a vehicle running at high speed can adaptively adjust the brightness of the projection image in advance according to the change of the environment, instant blindness is avoided, and the running safety of the vehicle is effectively improved.
Description
Technical Field
The invention belongs to the technical field of head-up displays, and particularly relates to a brightness adjusting system and method of a head-up display.
Background
With the development of technology, head Up Displays (HUD) are increasingly applied to automobiles as Display of auxiliary driving information. The current brightness adjustment scheme applied to the head-up display basically uses a light sensor facing the front of the automobile to collect the ambient light intensity, and when the change of the ambient light intensity reaches a certain threshold value, the system caches the collected data and performs brightness adjustment after filtering the data.
The scheme for adjusting the brightness based on the light sensor is that the system is reported to perform brightness adjustment after the change of the external environment light reaches a certain threshold value and is filtered through a buffer with a certain time, so that the system has a certain hysteresis (the hysteresis time is generally 500 ms-2000 ms) when the automobile runs. The automobile is a high-speed driving object when driving, and the automobile can be instantaneously blind due to the time delay when entering and exiting the tunnel, so that the automobile is dangerous.
The above disadvantages are to be improved.
Disclosure of Invention
The invention aims to provide a brightness adjusting system of a head-up display, which is used for solving the technical problem that the brightness adjustment of the head-up display in the prior art is lagged relative to the environmental change.
In order to achieve the above purpose, the invention adopts the following technical scheme: provided is a head-up display brightness adjustment system, including:
the training unit is used for collecting training images of the scene with the changed ambient light;
the image acquisition unit is used for acquiring real-time images of the environment;
the pattern recognition unit is used for determining a training scene pattern of the training image and recognizing the training scene pattern matched with the real-time image, and the training unit and the image acquisition unit are connected with the pattern recognition unit;
the ambient light sensor is used for collecting ambient light data;
the central processing unit is used for comparing the ambient light data with the training scene mode matched with the real-time image, determining the actual scene mode of the real-time image, and the mode identification unit and the ambient light sensor are both connected with the central processing unit;
the image generation unit is used for generating a projection image according to the actual scene mode and is connected with the central processing unit;
and the optical display unit is used for displaying the projection image and is connected with the image generation unit.
Further, when the ambient light data and the training scene mode matched with the real-time image are matched, the central processing unit determines that the actual scene mode is the training scene mode matched with the real-time image;
when the ambient light data and the training scene mode matched with the real-time image are not matched, the central processing unit determines that the actual scene mode is the ambient light data, and replaces the training scene mode matched with the real-time image by taking the actual scene mode as a new training scene mode;
the head-up display brightness adjustment system further comprises:
the machine learning unit is used for recording the training scene mode, the mode identification unit is connected with the machine learning unit, and the machine learning unit is connected with the central processing unit.
Further, the head-up display brightness adjustment system further includes:
the information unit is used for collecting real-time information, the real-time information comprises position information, time information and weather information, and the information unit is connected with the central processing unit.
Further, the machine learning unit is further configured to record the real-time information.
The brightness adjusting system of the head-up display has the beneficial effects that: due to the fact that the training unit and the pattern recognition unit are arranged, a corresponding training scene pattern can be obtained through training images in advance, the training scene pattern corresponding to the real-time image collected by the image collection unit is determined, the central processing unit can rapidly determine the brightness of the projection image according to the training scene pattern corresponding to the real-time image, the brightness of the projection image can be adaptively adjusted according to the change of the environment in advance for a vehicle running at a high speed, especially the brightness of the projection image can be adjusted in advance under the environment with severe change of the ambient light, instant blindness is avoided, the problem that the brightness adjustment of the head-up display is delayed relative to the change of the environment is effectively solved, and accordingly the safety of the vehicle running is effectively improved.
Another object of the present invention is to provide a method for adjusting brightness of a head-up display, including:
the mode identification is specifically as follows: collecting a real-time image of an environment, extracting a characteristic value of the real-time image, comparing the characteristic value of the real-time image with a characteristic value of a training image pre-stored in the head-up display, and determining a training scene mode of the real-time image;
the pattern matching is specifically as follows: matching the collected ambient light data with the training scene mode of the real-time image, and determining the actual scene mode of the real-time image;
the image generation is specifically as follows: generating a projection image with corresponding brightness according to the actual scene mode of the real-time image;
the image display is specifically as follows: and displaying the projection image.
Further, before the pattern recognition step, the method further includes:
the mode training is specifically as follows: and acquiring the training image of the scene with the changed ambient light, extracting the characteristic value of the training image, and determining a training scene mode according to the characteristic value of the training image.
Further, in the pattern matching step, the determining the actual scene pattern of the real-time image specifically includes:
when the training scene mode of the real-time image is matched with the ambient light data, determining that the training scene mode of the real-time image is an actual scene mode;
and when the training scene mode of the real-time image is not matched with the ambient light data, determining that the ambient light data is an actual scene mode.
Further, when the training scene mode of the real-time image is not matched with the ambient light data, performing mode optimization, wherein the mode optimization specifically comprises the following steps:
and replacing the training scene mode of the real-time image with an actual scene mode to obtain a new training scene mode of the real-time image.
Further, the step of mode optimization further comprises:
matching a training scene mode of the new real-time image with real-time information, wherein the real-time information comprises position information, time information and weather information;
when the training scene mode of the new real-time image is not matched with the real-time information, replacing a part related to the real-time information in the training scene mode of the new real-time image with the real-time information to obtain a training scene mode optimized by the real-time information;
when the training scene mode of the new real-time image is matched with the real-time information, the training scene mode of the new real-time image is reserved.
Further, the image display step further includes displaying the real-time information.
The brightness adjusting method of the head-up display has the beneficial effects that: through mode training, a corresponding training scene mode can be obtained in advance through training images; through pattern recognition, a training scene pattern corresponding to the real-time image can be determined; the real scene mode of the real-time image can be rapidly determined through pattern matching, so that the brightness of the projection image can be rapidly determined, the brightness of the projection image can be adjusted in advance according to the change of the environment by a vehicle running at high speed, especially the brightness of the projection image can be adjusted in advance in a self-adaptive manner under the environment with severe change of the ambient light, the instant blindness is avoided, the problem that the brightness adjustment of the head-up display is delayed relative to the change of the environment is effectively solved, and the running safety of the vehicle is effectively improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments or the description of the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic structural diagram of a brightness adjusting system of a head-up display according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a method for adjusting brightness of a head-up display according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of a method for adjusting brightness of a head-up display according to an embodiment of the present invention;
fig. 4 is a flowchart illustrating a method for adjusting brightness of a head-up display according to an embodiment of the present invention.
Wherein, each reference sign in the figure:
1-a training unit; 2-an image acquisition unit;
a 3-pattern recognition unit; 4-an ambient light sensor;
5-a central processing unit; a 6-image generation unit;
7-an optical display unit; an 8-machine learning unit;
9-information unit.
Detailed Description
In order to make the technical problems, technical schemes and beneficial effects to be solved more clear, the invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
It will be understood that when an element is referred to as being "disposed on" another element, it can be directly on the other element or be indirectly on the other element. When an element is referred to as being "connected to" another element, it can be directly connected to the other element or be indirectly connected to the other element. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present invention, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
Referring to fig. 1, a brightness adjusting system of a head-up display includes a training unit 1, an image acquisition unit 2, a pattern recognition unit 3, an ambient light sensor 4, a central processing unit 5, an image generation unit 6 and an optical display unit 7, wherein the training unit 1 and the image acquisition unit 2 are connected with the pattern recognition unit 3, the pattern recognition unit 3 is connected with the central processing unit 5, the ambient light sensor 4 is connected with the central processing unit 5, the central processing unit 5 is connected with the image generation unit 6, and the image generation unit 6 is connected with the optical display unit 7.
The training unit 1 is used for collecting training images of scenes with changed environment light, the image collecting unit 2 is used for collecting real-time images of the environment, the pattern recognition unit 3 is used for determining training scene patterns of the training images and training scene patterns for recognizing real-time image matching, the environment light sensor 4 is used for collecting environment light data, the central processing unit 5 is used for comparing the environment light data with the training scene patterns matched with the real-time images, the actual scene patterns of the real-time images are determined, the image generating unit 6 is used for generating projection images according to the actual scene patterns, and the optical display unit 7 is used for displaying the projection images.
The working principle of the brightness adjusting system of the head-up display provided by the embodiment is as follows:
firstly, a training unit 1 collects a scene of environmental light change (especially a scene of severe environmental light change, such as a scene when entering a tunnel, a scene when exiting a tunnel, a scene from no street lamp to street lamp or a scene from street lamp to no street lamp, etc.), generates a training image, and transmits the training image to a pattern recognition unit 3;
the pattern recognition unit 3 extracts the characteristic value of the training image and determines the training scene pattern of the training image according to the characteristic value;
the image acquisition unit 2 acquires a real-time image of the environment and transmits the real-time image to the pattern recognition unit 3 for pattern recognition, namely the pattern recognition unit 3 extracts the characteristic value of the real-time image, compares the characteristic value of the real-time image with the characteristic value of the training image, determines a training scene mode corresponding to the real-time image, and transmits the training scene mode of the real-time image to the central processing unit 5;
the ambient light sensor 4 collects ambient light data in real time and transmits the ambient light data to the central processing unit 5;
the central processing unit 5 compares the ambient light data with the training scene mode of the real-time image, determines the actual scene mode of the real-time image, and transmits the actual scene mode to the image generation unit 6;
the image generation unit 6 generates a projection image of corresponding brightness according to the actual scene mode of the real-time image, and transmits the projection image to the optical display unit 7;
the optical display unit 7 displays the projection image and projects the projection image into the field of view of the user, thereby facilitating the user to acquire the projection image.
The beneficial effect of a new line display brightness adjustment system that this embodiment provided lies in: due to the fact that the training unit 1 and the pattern recognition unit 2 are arranged, corresponding training scene patterns can be obtained through training images in advance, the training scene patterns corresponding to the real-time images collected by the image collection unit 2 are determined, the central processing unit can rapidly determine the brightness of the projection images according to the training scene patterns corresponding to the real-time images, the brightness of the projection images can be adaptively adjusted according to the change of the environment in advance for a vehicle running at a high speed, especially the brightness of the projection images can be adjusted in advance under the environment with severe change of ambient light, instant blindness is avoided, the problem that the brightness adjustment of a head-up display is delayed relative to the change of the environment is effectively solved, and accordingly the running safety of the vehicle is effectively improved.
Specifically, the specific procedure of the pattern recognition unit 3 determining the training scene pattern of the real-time image is:
comparing the characteristic value of the real-time image with the characteristic value of the training image;
when the characteristic value of the real-time image is matched with the characteristic value of the training image, the real-time image has a corresponding training scene mode, namely, the training scene mode of the training image is determined to be the training scene mode of the real-time image;
when the characteristic values of the real-time image are not matched with the characteristic values of the training image, the real-time image has no corresponding training scene mode.
Referring to fig. 1, further, the head-up display brightness adjustment system further includes a machine learning unit 8, the pattern recognition unit 3 is connected to the machine learning unit 8, and the machine learning unit 8 is connected to the central processing unit 5. The machine learning unit 8 is used for recording training scene patterns of training images.
Specifically, the pattern recognition unit 3 extracts the feature value of the training image, determines the training scene pattern of the training image according to the feature value, and transmits the feature value of the training image and the corresponding training scene pattern to the machine learning unit 8 for storage;
the characteristic values of a large number of training images and corresponding training scene modes are transmitted to a machine learning unit 8, so that a result library with a large amount of data is formed;
when the real-time image of the environment acquired by the image acquisition unit 2 is transmitted to the pattern recognition unit 3 for recognition, the pattern recognition unit 3 extracts the characteristic value of the real-time image and compares the characteristic value of the real-time image with the characteristic value of the training image of the result library in the machine learning unit 8, so as to determine the training scene pattern corresponding to the real-time image;
after determining the training scene mode of the real-time image, the machine learning unit 8 transmits the training scene mode of the real-time image to the central processing unit 5;
after determining the actual scene mode of the real-time image, the central processing unit 5 transmits the actual scene mode of the real-time image to the image generation unit 6;
when the ambient light data is matched with the training scene mode matched with the real-time image, determining that the actual scene mode is the training scene mode matched with the real-time image, and transmitting the actual scene mode of the real-time image to the image generation unit 6 by the central processing unit 5;
when the training scene mode matched with the real-time image is not matched with the environment light data, the actual scene mode is determined to be the environment light data, on one hand, the central processing unit 5 transmits the actual scene mode of the real-time image to the image generating unit 6, and on the other hand, the central processing unit 5 transmits the actual scene mode to the machine learning unit 8, and the actual scene mode is used as a new training scene mode to replace the training scene mode matched with the real-time image, so that the corresponding training scene mode is optimized.
Due to the fact that the machine learning unit 8 is arranged, and the training scene mode is continuously optimized, the machine learning unit 8 can continuously optimize the mode recognition process of the mode recognition unit 3, so that the accuracy and performance of the mode recognition unit 3 can be continuously optimized, the problem that the brightness adjustment of the head-up display is lagged relative to the environment change is effectively solved, and the driving safety of an automobile is effectively improved.
Further, the training unit 1 is provided with a camera for acquiring training images. Specifically, the camera performs image acquisition of a scene in which the ambient light changes (particularly, a scene in which the ambient light changes drastically, for example, a scene when entering a tunnel, a scene when exiting a tunnel, a scene from no street lamp to street lamp, or a scene from street lamp to no street lamp, etc.), and generates a training picture, and then transmits the training picture to the pattern recognition unit 3.
Referring to fig. 1, further, the brightness adjusting system of the head-up display further includes an information unit 9 for collecting real-time information, and the information unit 9 is connected with the central processing unit 5. Preferably, the real-time information collected by the information unit 9 includes GPS position information, time information, and weather information of the car.
Further, the machine learning unit 8 is also used for recording real-time information.
The real-time information collected by the information unit 9 is also used for further optimizing the training scene mode of the real-time image, specifically:
the information unit 9 sends the collected real-time information to the central processing unit 5; on the one hand, the central processing unit 5 transmits the real scene mode to the image generating unit 6 and simultaneously transmits the real-time information to the image generating unit 6, so that the optical display unit 7 simultaneously displays the projection image and the real-time information; on the other hand, the central processing unit 5 matches the real-time information with the related information in the actual scene mode of the real-time image, when the actual scene mode of the real-time image is matched with the real-time information, the actual scene mode of the real-time image is reserved, the actual scene mode of the real-time image is transmitted to the machine learning unit 8, and the corresponding training scene mode is optimized; when the actual scene mode of the real-time image is not matched with the real-time information, the related information in the actual scene mode of the real-time image is replaced by the real-time information, the actual scene mode of the real-time image optimized by the real-time information is obtained, the actual scene mode of the real-time image optimized by the real-time image is transmitted to the machine learning unit 8, and the corresponding training scene mode is optimized, so that the training scene mode can be continuously optimized.
Due to the arrangement of the information unit 9, on one hand, the optical display unit 7 can display not only the projection image, but also corresponding real-time information, so that a user can acquire more real-time information; the training scene mode recorded by the machine learning unit 8 can be further optimized by the aid of the other development, so that accuracy and performance of mode identification of the mode identification unit 3 are further optimized, and safety of automobile driving is further effectively improved.
It will be appreciated that the real-time information collected by the information unit 9 may also comprise other information, without limitation.
Referring to fig. 2, the present embodiment further provides a method for adjusting brightness of a head-up display, including:
s101: the mode identification is specifically as follows: collecting a real-time image of the environment, extracting a characteristic value of the real-time image, comparing the characteristic value of the real-time image with a characteristic value of a training image pre-stored in a head-up display, and determining a training scene mode of the real-time image;
s102: the pattern matching is specifically as follows: matching the collected ambient light data with a training scene mode of the real-time image to determine an actual scene mode of the real-time image;
s103: the image generation is specifically as follows: generating a projection image with corresponding brightness according to an actual scene mode of the real-time image;
s104: the image display is specifically as follows: the projected image is displayed so that the user acquires the projected image.
Specifically, in step S101, the specific process of determining the training scene mode of the real-time image includes:
comparing the characteristic value of the real-time image with the characteristic value of the training image;
when the characteristic value of the real-time image is matched with the characteristic value of the training image, the real-time image has a corresponding training scene mode of the training image, namely, the training scene mode of the training image is determined to be the training scene mode of the real-time image;
when the characteristic values of the real-time image are not matched with the characteristic values of the training image, the real-time image has no corresponding training scene mode.
The brightness adjusting method of the head-up display has the beneficial effects that: through pattern recognition, a training scene pattern corresponding to the real-time image can be determined; the real scene mode of the real-time image can be rapidly determined through pattern matching, so that the brightness of the projection image can be rapidly determined, the brightness of the projection image can be adjusted in advance according to the change of the environment by a vehicle running at high speed, especially the brightness of the projection image can be adjusted in advance in a self-adaptive manner under the environment with severe change of the ambient light, the instant blindness is avoided, the problem that the brightness adjustment of the head-up display is delayed relative to the change of the environment is effectively solved, and the running safety of the vehicle is effectively improved.
Referring to fig. 3, further, step S101 further includes:
step S100: the mode training is specifically as follows: and acquiring a training image of the scene with the changed ambient light, extracting the characteristic value of the training image, and determining the training scene mode of the training image according to the characteristic value of the training image. Through mode training, a corresponding training scene mode can be obtained through training images in advance, so that mode identification can be carried out on the real-time images of the collected environment, and the brightness of the projection image can be quickly determined.
Further, in step S102, the specific process of determining the actual scene mode of the real-time image includes:
when the training scene mode of the real-time image is matched with the ambient light data, determining that the training scene mode of the real-time image is the actual scene mode of the real-time image;
when the training scene mode of the real-time image is not matched with the ambient light data, determining that the ambient light data is the actual scene mode of the real-time image.
The training scene mode of the real-time image is matched with the ambient light data, so that the actual scene mode of the real-time image is determined, the brightness of the projection image in the image generation process is adjusted more accurately, and the system is more suitable for the environment where the high-speed moving automobile is located.
Referring to fig. 4, further, when the training scene mode of the real-time image is not matched with the ambient light data in the mode matching, step S105 is performed: the mode optimization is specifically as follows:
and replacing the training scene mode of the real-time image with the actual scene mode to obtain a new training scene mode of the real-time image, thereby optimizing the corresponding training scene mode.
Due to the fact that the mode optimization step is set, the training scene mode can be continuously optimized, the mode identification process can be continuously optimized, accuracy and performance of the mode identification process can be continuously optimized, the problem that the brightness adjustment of the head-up display is lagged relative to environmental change is effectively solved, and then the driving safety of an automobile is effectively improved.
It should be understood that step S105 may be between step S102 and step S103, or between step S103 and step S104, or after step S104, without limitation herein.
Further, the step of mode optimization further comprises:
matching a training scene mode of the new real-time image with real-time information, wherein the real-time information comprises position information, time information and weather information;
when the training scene mode of the new real-time image is matched with the real-time information, the training scene mode of the new real-time image is reserved;
when the training scene mode of the new real-time image is not matched with the real-time information, replacing the part related to the real-time information in the training scene mode of the new real-time image with the real-time information to obtain the training scene mode optimized by the real-time information.
The training scene mode of the new real-time image is further optimized through the real-time information, so that the corresponding training scene mode can be optimized, the accuracy and performance of the mode identification unit 3 can be further optimized, and the driving safety of the automobile can be further effectively improved.
Further, step S104 further includes displaying real-time information, where the real-time information includes location information, time information, and weather information. In the display process of the image display, not only the projection image is displayed, but also the real-time information is displayed, so that a user can acquire more real-time information. It should be understood that the real-time information may also include other information, without limitation.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (9)
1. A brightness adjusting system of a head-up display is characterized in that: comprising
The training unit is used for collecting training images of the scene with the changed ambient light;
the image acquisition unit is used for acquiring real-time images of the environment;
the pattern recognition unit is used for determining a training scene pattern of the training image and recognizing the training scene pattern matched with the real-time image, and the training unit and the image acquisition unit are connected with the pattern recognition unit; the specific process of determining the training scene mode of the real-time image by the mode identification unit is as follows:
comparing the characteristic value of the real-time image with the characteristic value of the training image;
when the characteristic value of the real-time image is matched with the characteristic value of the training image, the real-time image has a corresponding training scene mode, namely, the training scene mode of the training image is determined to be the training scene mode of the real-time image;
the ambient light sensor is used for collecting ambient light data;
the central processing unit is used for comparing the ambient light data with the training scene mode matched with the real-time image, determining the actual scene mode of the real-time image, and the mode identification unit and the ambient light sensor are both connected with the central processing unit; when the ambient light data is matched with the training scene mode matched with the real-time image, the central processing unit determines that the actual scene mode is the training scene mode matched with the real-time image;
when the ambient light data and the training scene mode matched with the real-time image are not matched, the central processing unit determines that the actual scene mode is the ambient light data, and replaces the training scene mode matched with the real-time image by taking the actual scene mode as a new training scene mode;
the image generation unit is used for determining the brightness of the projection image according to the actual scene mode and generating the projection image, and is connected with the central processing unit;
and the optical display unit is used for displaying the projection image and is connected with the image generation unit.
2. The head-up display brightness adjustment system of claim 1, wherein:
the head-up display brightness adjustment system further comprises:
the machine learning unit is used for recording the training scene mode, the mode identification unit is connected with the machine learning unit, and the machine learning unit is connected with the central processing unit.
3. The head-up display brightness adjustment system of claim 2, wherein: the head-up display brightness adjustment system further comprises:
the information unit is used for collecting real-time information, the real-time information comprises position information, time information and weather information, and the information unit is connected with the central processing unit.
4. The head-up display brightness adjustment system of claim 3, wherein: the machine learning unit is also configured to record the real-time information.
5. A brightness adjusting method of a head-up display is characterized by comprising the following steps: comprising
The mode identification is specifically as follows: collecting a real-time image of an environment, extracting a characteristic value of the real-time image, comparing the characteristic value of the real-time image with a characteristic value of a training image pre-stored in the head-up display, and determining a training scene mode of the real-time image: when the characteristic value of the real-time image is matched with the characteristic value of the training image, the real-time image has a corresponding training scene mode, namely, the training scene mode of the training image is determined to be the training scene mode of the real-time image;
the pattern matching is specifically as follows: matching the collected ambient light data with the training scene mode of the real-time image, and determining the actual scene mode of the real-time image; when the environment light data is matched with the training scene mode matched with the real-time image, determining that the actual scene mode is the training scene mode matched with the real-time image;
when the environment light data is not matched with the training scene mode matched with the real-time image, determining that the actual scene mode is the environment light data, and replacing the training scene mode matched with the real-time image by using the actual scene mode as a new training scene mode;
the image generation is specifically as follows: determining the brightness of the projection image according to the actual scene mode of the real-time image, and generating a projection image with corresponding brightness;
the image display is specifically as follows: and displaying the projection image.
6. The head-up display brightness adjustment method of claim 5, wherein: the pattern recognition step further comprises the following steps:
the mode training is specifically as follows: and acquiring the training image of the scene with the changed ambient light, extracting the characteristic value of the training image, and determining a training scene mode according to the characteristic value of the training image.
7. The head-up display brightness adjustment method of claim 6, wherein:
and when the training scene mode of the real-time image is not matched with the ambient light data, performing mode optimization, wherein the mode optimization specifically comprises the following steps:
and replacing the training scene mode of the real-time image with an actual scene mode to obtain a new training scene mode of the real-time image.
8. The head-up display brightness adjustment method of claim 7, wherein: the step of pattern optimization further comprises:
matching a training scene mode of the new real-time image with real-time information, wherein the real-time information comprises position information, time information and weather information;
when the training scene mode of the new real-time image is not matched with the real-time information, replacing a part related to the real-time information in the training scene mode of the new real-time image with the real-time information to obtain a training scene mode optimized by the real-time information;
when the training scene mode of the new real-time image is matched with the real-time information, the training scene mode of the new real-time image is reserved.
9. The head-up display brightness adjustment method of claim 8, wherein: the image displaying step further includes displaying the real-time information.
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