CN117197234A - HUD image calibration method, HUD image calibration system and HUD image calibration computer program product - Google Patents
HUD image calibration method, HUD image calibration system and HUD image calibration computer program product Download PDFInfo
- Publication number
- CN117197234A CN117197234A CN202311055784.3A CN202311055784A CN117197234A CN 117197234 A CN117197234 A CN 117197234A CN 202311055784 A CN202311055784 A CN 202311055784A CN 117197234 A CN117197234 A CN 117197234A
- Authority
- CN
- China
- Prior art keywords
- image
- information
- brightness
- characteristic information
- hud
- 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 43
- 238000004590 computer program Methods 0.000 title claims abstract description 14
- 238000003384 imaging method Methods 0.000 claims abstract description 18
- 238000004519 manufacturing process Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 210000003128 head Anatomy 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 235000019800 disodium phosphate Nutrition 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Abstract
The application relates to an image calibration method, an image calibration system and a computer program product of a HUD. The image calibration method comprises the following steps: controlling the HUD to project an image onto a display screen, and adjusting characteristic information of the image; receiving characteristic information of the image read by an image information reader; and calibrating the characteristic information of the image when judging that the characteristic information of the image meets a preset information threshold. Therefore, the differential calibration can be carried out through the imaging difference of different HUD products, and the condition of inaccurate calibration caused by calibration errors existing in the process of calibrating through motors and the like can be avoided.
Description
Technical Field
The application relates to the technical field of vehicles, in particular to an image calibration method, an image calibration system and a computer program product of a HUD.
Background
HUD (Head-Up Display, head-Up Display system) refers to a multifunctional dashboard with the vehicle driver as the center, operated blindly. The HUD is used for projecting important driving information such as speed per hour and navigation onto windshield glass in front of a driver, so that the driver can see the important driving information such as speed per hour and navigation without lowering the head and turning the head as much as possible. Existing HUDs typically use a fixed motor step number adjustment to calibrate at a specific location. However, in actual production, when the same motor step number is caused by the HUD tolerance difference and the vehicle tolerance difference, the imaging difference of different HUD products is larger. Leading to a difference in HUD optical calibration effect.
Disclosure of Invention
Based on the above, it is necessary to provide an image calibration method, system and computer program product for HUD to solve the technical problem of large imaging difference in the prior art.
In a first aspect, the present application provides an image calibration method for a HUD, where the image calibration method includes:
controlling the HUD to project an image onto a display screen, and adjusting characteristic information of the image;
receiving characteristic information of the image read by an image information reader;
and calibrating the characteristic information of the image when judging that the characteristic information of the image meets a preset information threshold.
In one embodiment, the step of receiving the characteristic information of the image read by the image information reader further includes:
receiving a lower viewing angle of the image read by the image information reader;
the step of calibrating the characteristic information of the image when judging that the characteristic information of the image meets a preset information threshold value further comprises the following steps:
and calibrating the height information of the image when judging that the angle of the lower view angle of the image meets a preset angle threshold value.
In one embodiment, the step of controlling the HUD to project an image onto a display screen and adjusting the feature information of the height image further includes:
and controlling the HUD to project a height image on a display screen, and adjusting the height information of the image.
In one embodiment, the step of receiving the characteristic information of the image read by the image information reader further includes:
receiving the brightness of the image read by the image information reader;
the step of calibrating the characteristic information of the image when judging that the characteristic information of the image meets a preset information threshold value further comprises the following steps:
and calibrating the brightness information of the image when judging that the brightness of the image meets a preset brightness threshold value.
In one embodiment, the step of controlling the HUD to project an image onto a display screen and adjusting feature information of the image further includes:
and controlling the HUD to project a brightness image on a display screen, and adjusting brightness information of the brightness image.
In one embodiment, the step of adjusting the luminance information of the luminance image includes:
and adjusting the imaging current of the brightness image to adjust the brightness information of the brightness image.
In one embodiment, the step of receiving the characteristic information of the image read by the image information reader further includes:
and receiving the characteristic information of the image read by the binocular camera.
In a second aspect, the present application also provides an image calibration system for HUD, the image calibration system comprising:
the controller is used for controlling the HUD to project images onto a display screen and adjusting characteristic information of the images; an image information reader for reading characteristic information of the image; the controller further receives the characteristic information and calibrates the characteristic information of the image when judging that the characteristic information of the image meets a preset information threshold.
In a third aspect, the present application also provides a computer device comprising a memory having stored therein computer readable instructions and a processor for carrying out the steps of the method described hereinbefore when the computer readable instructions are executed.
In a fourth aspect, the application also provides a computer program product, wherein the computer program product comprises a computer program for implementing the method as described above when executed by a computer.
The foregoing describes a method, system and computer program product for image calibration of a HUD. The image calibration method comprises the following steps: controlling the HUD to project an image onto a display screen, and adjusting characteristic information of the image; receiving characteristic information of the image read by an image information reader; and calibrating the characteristic information of the image when judging that the characteristic information of the image meets a preset information threshold. Therefore, the differential calibration can be carried out through the imaging difference of different HUD products, and the condition of inaccurate calibration caused by calibration errors existing in the process of calibrating through motors and the like can be avoided.
Drawings
Fig. 1 is a flow chart of an image calibration method of a HUD according to an embodiment of the present application;
FIG. 2 is a flowchart of another HUD image calibration method according to an embodiment of the present application;
FIG. 3 is a flowchart of another HUD image calibration method according to an embodiment of the present application;
FIG. 4 is a block diagram of an image calibration system for a HUD according to an embodiment of the present application;
fig. 5 is a basic structural block diagram of a computer device according to an embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. 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 application.
Referring to fig. 1, fig. 1 is a flowchart of an image calibration method of a HUD according to an embodiment of the present application. As shown in fig. 1, the method of the present embodiment includes the steps of:
step S1: and controlling the HUD to project the image onto a display screen, and adjusting characteristic information of the image.
Wherein the display screen may be a windscreen. It should be appreciated that the image may simulate an image formed by information such as navigation, speed of time, temperature, etc. in actual use of the vehicle.
Step S2: and receiving the characteristic information of the image read by the image information reader.
Specifically, feature information of the image read by the binocular camera is received. Because of the binocular camera, different characteristic information of the image can be received.
Step S3: and calibrating the characteristic information of the image when judging that the characteristic information of the image meets a preset information threshold.
It will be appreciated that each message sets a message threshold and that at the time of determination, the characteristic information of the different images is compared with the corresponding message threshold. And if each piece of characteristic information meets the corresponding information threshold value, calibrating the characteristic information. I.e. the calibration of each characteristic information is independent and separate, and can be performed on different characteristic information.
It is noted that the feature information of the image may be continuously adjusted when the received feature information does not meet the preset information threshold, until the received feature information meets the corresponding preset information threshold.
Specifically, the adjustment scheme can be determined by comparing the received characteristic information with the information threshold, for example, the adjustment can comprise different levels of amplitude adjustment, such as primary amplitude adjustment, secondary amplitude adjustment, tertiary amplitude adjustment and the like. When the difference between the received characteristic information and the information threshold is larger than a first difference threshold, the characteristic information can be subjected to primary amplitude adjustment, when the difference between the received characteristic information and the information threshold is smaller than or equal to the first difference threshold and larger than a second difference threshold, the characteristic information can be subjected to secondary amplitude adjustment, and when the difference between the received characteristic information and the information threshold is smaller than or equal to the second difference threshold, the characteristic information can be subjected to tertiary amplitude adjustment. The first difference threshold, the second difference threshold and the third difference threshold are sequentially reduced.
Therefore, the HUD can be calibrated through the characteristic information of the HUD projected image, the imaging of the HUD product is directly calibrated, the calibration accuracy is high, and the condition that the calibration is inaccurate due to motor calibration errors when the image position of the HUD is calibrated through the output step number of the motor can be avoided.
Referring to fig. 2, fig. 2 is a flowchart of another image calibration method of HUD according to an embodiment of the present application. As shown in fig. 2, the method of the present embodiment includes the steps of:
step S21: and controlling the HUD to project a height image on a display screen, and adjusting the height information of the height image.
It is understood that the height image includes the lower viewing angle information. The downward viewing angle (Look down angle) of the HUD is the angle between the direction of the line of sight from which the driver views the altitude image and the horizontal direction, and is called the downward viewing angle. Specifically, the horizontal direction of the image information reader (corresponding to the eyes of the driver in practical application) and the angle between the image information reader and the lowest edge line of the image can be understood. The angle of the included angle can be adjusted by adjusting the height information of the image.
Step S22: and receiving the lower view angle of the height image read by the height image information reader.
Namely, the horizontal direction of the image information reader and the included angle between the image information reader and the lowest edge of the image are read by the image information reader.
Step S23: and calibrating the height information of the height image when judging that the angle of the lower view angle of the height image meets a preset angle threshold.
Typically, there is a default value for the under view of the height image of each HUD at the time of production, and the angle threshold is smaller than the default value, for example, the default value for the under view is 2 degrees, and the angle threshold may be greater than 1.8 degrees. Namely, when the angle of the lower view angle of the height image is larger than 1.8 degrees, the height position of the current height image can be considered to be in accordance with the preset height, and the height information of the current height image can be calibrated.
It is noted that, when the received angle of view information does not meet the preset angle threshold, the height of the height image may be continuously adjusted until the received angle of view meets the corresponding preset angle threshold.
Specifically, the received lower view angle information can be compared with the angle threshold value to determine a scheme of height adjustment, for example, the height adjustment can comprise amplitude adjustment of different levels, such as primary height amplitude adjustment, secondary height amplitude adjustment, tertiary height amplitude adjustment and the like. When the difference value between the received lower view angle information and the angle threshold value is larger than the first angle difference value threshold value, the first-stage height amplitude adjustment can be performed on the height of the height image, when the difference value between the received lower view angle information and the angle threshold value is smaller than or equal to the first angle difference value threshold value and larger than the second angle difference value threshold value, the second-stage height amplitude adjustment can be performed on the height information of the height image, and when the difference value between the received lower view angle information and the angle threshold value is smaller than or equal to the second angle difference value threshold value, the third-stage height amplitude adjustment can be performed on the height of the height image. Wherein the first angle difference threshold, the second angle difference threshold, and the third angle difference threshold decrease in sequence.
Therefore, the embodiment can highly calibrate the HUD through the lower view angle information of the projected height image of the HUD, the imaging of the HUD product is directly highly calibrated, the calibration accuracy is high, and the condition that the calibration is inaccurate due to motor calibration errors when the image position of the HUD is calibrated through the output step number of the motor can be avoided.
Referring to fig. 3, fig. 3 is a flowchart of another HUD image calibration method according to an embodiment of the present application. As shown in fig. 3, the method of the present embodiment includes the steps of:
step S31: and controlling the HUD to project a brightness image on a display screen, and adjusting brightness information of the brightness image.
It is understood that the luminance image includes luminance information. The brightness information can influence the direct look and feel of a driver, and the brightness is too bright or too dark to enable the displayed information to be clear enough, so that the driver cannot acquire the information quickly. Specifically, the imaging current is proportional to the brightness, i.e., the greater the imaging current, the brighter the brightness, and the smaller the imaging current, the smaller the brightness.
Step S32: and receiving the brightness of the brightness image read by the image information reader.
I.e. the brightness of the brightness image is read by the image information reader.
Step S33: and calibrating the brightness information of the brightness image when judging that the brightness of the brightness image meets a preset brightness threshold value.
In general, a default value range exists in the brightness image of each HUD during production, the default value range is a brightness threshold value, when the brightness of the brightness image is within the brightness threshold value range, the brightness of the brightness image is considered to be in accordance with a standard, and the brightness information of the current brightness image can be calibrated.
It is noted that the brightness of the brightness image may be continuously adjusted when the received brightness information does not meet the preset brightness threshold value until the received brightness information meets the corresponding preset brightness threshold value.
Specifically, the brightness adjustment scheme can be determined according to the comparison between the received brightness information and the brightness threshold value, for example, the brightness adjustment can comprise different levels of amplitude adjustment, such as primary brightness amplitude adjustment, secondary brightness amplitude adjustment, tertiary brightness amplitude adjustment and the like. When the difference between the received brightness information and the brightness threshold value is larger than the first brightness difference threshold value, the brightness of the brightness image can be subjected to primary brightness amplitude adjustment, when the difference between the received brightness information and the brightness threshold value is smaller than or equal to the first brightness difference threshold value and larger than the second brightness difference threshold value, the brightness information of the brightness image can be subjected to secondary brightness amplitude adjustment, and when the difference between the received brightness information and the brightness threshold value is smaller than or equal to the second brightness difference threshold value, the brightness of the brightness image can be subjected to tertiary brightness amplitude adjustment. The first brightness difference threshold, the second brightness difference threshold and the third brightness difference threshold are sequentially reduced.
Therefore, the brightness calibration can be carried out on the HUD through the brightness information of the HUD projected image, the brightness calibration is directly carried out on the imaging of the HUD product, and the calibration accuracy is high.
The application also provides an image calibration system of the HUD, which is applied to the image calibration method of the HUD described above, and particularly referring to FIG. 4, the image calibration system 40 of the HUD of the embodiment comprises a controller 41, an image information reader 42 and a display screen 43.
Wherein the display 43 may be a windscreen. It should be appreciated that the image may simulate an image formed by information such as navigation, speed of time, temperature, etc. in actual use of the vehicle.
The controller 41 is used to control the HUD to project an image onto the display screen 43 and to adjust the characteristic information of the image.
The image information reader 42 is used to read the characteristic information of the image. The image information reader 42 may be a binocular camera that reads various characteristic information of the image.
The controller 41 further receives the feature information and calibrates the feature information of the image when it is determined that the feature information of the image satisfies a preset information threshold.
It will be appreciated that each message sets a message threshold and that at the time of determination, the characteristic information of the different images is compared with the corresponding message threshold. And if each piece of characteristic information meets the corresponding information threshold value, calibrating the characteristic information. I.e. the calibration of each characteristic information is independent and separate, and can be performed on different characteristic information.
It should be noted that the controller 41 may continue to control the HUD to adjust the feature information of the image when the received feature information does not meet the preset information threshold until the received feature information meets the corresponding preset information threshold.
Specifically, the controller 41 may also determine the adjustment scheme according to the received characteristic information and comparing the characteristic information with the information threshold value, for example, the adjustment may include different levels of amplitude adjustment, such as primary amplitude adjustment, secondary amplitude adjustment, tertiary amplitude adjustment, and the like. When the difference between the received characteristic information and the information threshold is larger than a first difference threshold, the characteristic information can be subjected to primary amplitude adjustment, when the difference between the received characteristic information and the information threshold is smaller than or equal to the first difference threshold and larger than a second difference threshold, the characteristic information can be subjected to secondary amplitude adjustment, and when the difference between the received characteristic information and the information threshold is smaller than or equal to the second difference threshold, the characteristic information can be subjected to tertiary amplitude adjustment. The first difference threshold, the second difference threshold and the third difference threshold are sequentially reduced.
Optionally, the controller 41 may also control the HUD to project a height image onto the display screen 43 and adjust the height information of the height image.
It is understood that the height image includes the lower viewing angle information. The downward viewing angle (Look down angle) of the HUD is the angle between the direction of the line of sight from which the driver views the altitude image and the horizontal direction, and is called the downward viewing angle. Specifically, the horizontal direction of the image information reader 42 (corresponding to the eyes of the driver in practical use) and the angle between the image information reader 42 and the lowest edge line of the height image can be understood. The height information of the height image can be adjusted to adjust the angle of the included angle.
The image information reader 42 reads the lower viewing angle of the height image and feeds it back to the controller 41. Namely, the horizontal direction of the image information reader 42 and the angle of the image information reader 42 with the lowest edge of the height image are read by the image information reader 42.
The controller 41 calibrates the height information of the height image when judging that the angle of the lower view angle of the height image meets a preset angle threshold.
Typically, there is a default value for the under view of the height image of each HUD at the time of production, and the angle threshold is smaller than the default value, for example, the default value for the under view is 2 degrees, and the angle threshold may be greater than 1.8 degrees. Namely, when the angle of the lower view angle of the height image is larger than 1.8 degrees, the height position of the current height image can be considered to be in accordance with the preset height, and the current image height information can be calibrated.
It is noted that, when the received angle of view information does not meet the preset angle threshold, the height of the height image may be continuously adjusted until the received angle of view meets the corresponding preset angle threshold.
Specifically, the received lower view angle information can be compared with the angle threshold value to determine a scheme of height adjustment, for example, the height adjustment can comprise amplitude adjustment of different levels, such as primary height amplitude adjustment, secondary height amplitude adjustment, tertiary height amplitude adjustment and the like. When the difference value between the received lower view angle information and the angle threshold value is larger than the first angle difference value threshold value, the first-stage height amplitude adjustment can be performed on the height of the height image, when the difference value between the received lower view angle information and the angle threshold value is smaller than or equal to the first angle difference value threshold value and larger than the second angle difference value threshold value, the second-stage height amplitude adjustment can be performed on the height information of the height image, and when the difference value between the received lower view angle information and the angle threshold value is smaller than or equal to the second angle difference value threshold value, the third-stage height amplitude adjustment can be performed on the height of the height image. Wherein the first angle difference threshold, the second angle difference threshold, and the third angle difference threshold decrease in sequence.
Optionally, the controller 41 controls the HUD to project a luminance image onto the display screen 43 and adjusts luminance information of the luminance image.
It is understood that the luminance image includes luminance information. The brightness information may affect the direct look and feel of the driver, and too bright or too dark may cause insufficient definition of the displayed information, so that the driver cannot quickly acquire the information, and the controller 41 may adjust the imaging current of the brightness image to adjust the brightness information of the brightness image. Specifically, the imaging current is proportional to the brightness, i.e., the greater the imaging current, the brighter the brightness, and the smaller the imaging current, the smaller the brightness.
The brightness of the brightness image read by the image information reader 42 is fed back to the controller 41. The controller 41 calibrates the brightness information of the image when judging that the brightness of the brightness image meets the preset brightness threshold.
In general, a default value range exists in the brightness image of each HUD during production, the default value range is a brightness threshold value, when the brightness of the brightness image is within the brightness threshold value range, the brightness of the brightness image is considered to be in accordance with a standard, and the brightness information of the current brightness image can be calibrated.
It is noted that the brightness of the brightness image may be continuously adjusted when the received brightness information does not satisfy the preset brightness threshold value until the received brightness information satisfies the corresponding preset brightness threshold value.
Specifically, the brightness adjustment scheme can be determined according to the comparison between the received brightness information and the brightness threshold value, for example, the brightness adjustment can comprise different levels of amplitude adjustment, such as primary brightness amplitude adjustment, secondary brightness amplitude adjustment, tertiary brightness amplitude adjustment and the like. When the difference between the received brightness information and the brightness threshold value is larger than the first brightness difference threshold value, the brightness of the brightness image can be subjected to primary brightness amplitude adjustment, when the difference between the received brightness information and the brightness threshold value is smaller than or equal to the first brightness difference threshold value and larger than the second brightness difference threshold value, the brightness information of the brightness image can be subjected to secondary brightness amplitude adjustment, and when the difference between the received brightness information and the brightness threshold value is smaller than or equal to the second brightness difference threshold value, the brightness of the brightness image can be subjected to tertiary brightness amplitude adjustment. The first brightness difference threshold, the second brightness difference threshold and the third brightness difference threshold are sequentially reduced.
Therefore, the embodiment can respectively calibrate the height and the brightness of the HUD through the height information and the brightness information of the image projected by the HUD, and the calibration accuracy is high.
In order to solve the technical problems, the embodiment of the application also provides computer equipment. Referring specifically to fig. 5, fig. 5 is a basic structural block diagram of a computer device according to the present embodiment.
The computer device 6 comprises a memory 61, a processor 62, a network interface 63 communicatively connected to each other via a system bus. It is noted that only computer device 6 having components 61-63 is shown in the figures, but it should be understood that not all of the illustrated components are required to be implemented and that more or fewer components may be implemented instead. It will be appreciated by those skilled in the art that the computer device herein is a device capable of automatically performing numerical calculations and/or information processing in accordance with predetermined or stored instructions, the hardware of which includes, but is not limited to, microprocessors, application specific integrated circuits (Application Specific Integrated Circuit, ASICs), programmable gate arrays (fields-Programmable Gate Array, FPGAs), digital processors (Digital Signal Processor, DSPs), embedded devices, etc.
The computer equipment can be a desktop computer, a notebook computer, a palm computer, a cloud server and other computing equipment. The computer equipment can perform man-machine interaction with a user through a keyboard, a mouse, a remote controller, a touch pad or voice control equipment and the like.
The memory 61 includes at least one type of readable storage media including flash memory, hard disk, multimedia card, card memory (e.g., SD or DX memory, etc.), random Access Memory (RAM), static Random Access Memory (SRAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), programmable Read Only Memory (PROM), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the storage 61 may be an internal storage unit of the computer device 6, such as a hard disk or a memory of the computer device 6. In other embodiments, the memory 61 may also be an external storage device of the computer device 6, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card) or the like, which are provided on the computer device 6. Of course, the memory 61 may also comprise both an internal memory unit of the computer device 6 and an external memory device. In this embodiment, the memory 61 is typically used to store an operating system and various application software installed on the computer device 6, such as computer readable instructions of an image calibration method of the HUD. Further, the memory 61 may be used to temporarily store various types of data that have been output or are to be output.
The processor 62 may be a central processing unit (Central Processing Unit, CPU), controller, microcontroller, microprocessor, or other data processing chip in some embodiments. The processor 62 is typically used to control the overall operation of the computer device 6. In this embodiment, the processor 62 is configured to execute computer readable instructions stored in the memory 61 or process data, such as computer readable instructions for executing an image calibration method of the HUD.
The network interface 63 may comprise a wireless network interface or a wired network interface, which network interface 63 is typically used for establishing a communication connection between the computer device 6 and other electronic devices.
Therefore, the HUD projection image is controlled to be projected on a display screen, and the characteristic information of the image is adjusted; receiving characteristic information of the image read by an image information reader; and calibrating the characteristic information of the image when judging that the characteristic information of the image meets a preset information threshold. Therefore, the differential calibration can be carried out through the imaging difference of different HUD products, and the condition of inaccurate calibration caused by calibration errors existing in the process of calibrating through motors and the like can be avoided.
The present application also provides another embodiment, namely, a computer program product storing computer readable instructions executable by at least one processor to cause the at least one processor to perform the steps of the image calibration method of a HUD as described above.
The application provides an image calibration method, an image calibration system and a computer program product of a HUD. The image calibration method comprises the following steps: the HUD projects an image on a display screen and adjusts characteristic information of the image; receiving characteristic information of the image read by an image information reader; and calibrating the characteristic information of the image when judging that the characteristic information of the image meets a preset information threshold. Therefore, the differential calibration can be carried out through the imaging difference of different HUD products, and the condition of inaccurate calibration caused by calibration errors existing in the process of calibrating through motors and the like can be avoided.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present application.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.
Claims (10)
1. An image calibration method of a HUD is characterized by comprising the following steps:
controlling the HUD to project an image onto a display screen, and adjusting characteristic information of the image;
receiving characteristic information of the image read by an image information reader;
and calibrating the characteristic information of the image when judging that the characteristic information of the image meets a preset information threshold.
2. The image calibration method according to claim 1, wherein the step of receiving the characteristic information of the image read by the image information reader further comprises:
receiving a lower viewing angle of the image read by the image information reader;
the step of calibrating the characteristic information of the image when judging that the characteristic information of the image meets a preset information threshold value further comprises the following steps:
and calibrating the height information of the image when judging that the angle of the lower view angle of the image meets a preset angle threshold value.
3. The image calibration method according to claim 2, wherein the step of controlling the HUD to project an image onto a display screen and adjusting characteristic information of the image further comprises:
and controlling the HUD to project a height image on a display screen, and adjusting the height information of the height image.
4. An image calibration method according to any one of claims 1 to 3, wherein the step of receiving the characteristic information of the image read by the image information reader further comprises:
receiving the brightness of the image read by the image information reader;
the step of calibrating the characteristic information of the image when judging that the characteristic information of the image meets a preset information threshold value further comprises the following steps:
and calibrating the brightness information of the image when judging that the brightness of the image meets a preset brightness threshold value.
5. The image calibration method according to claim 1, wherein the step of controlling the HUD to project an image onto a display screen and adjusting characteristic information of the image further comprises:
and controlling the HUD to project a brightness image on a display screen, and adjusting brightness information of the brightness image.
6. The image calibration method according to claim 5, wherein the step of adjusting the brightness information of the brightness image includes:
and adjusting the imaging current of the brightness image to adjust the brightness information of the brightness image.
7. The image calibration method according to claim 1, wherein the step of receiving the characteristic information of the image read by the image information reader further comprises:
and receiving the characteristic information of the image read by the binocular camera.
8. An image calibration system for a HUD, the image calibration system comprising:
the controller is used for controlling the HUD to project images onto a display screen and adjusting characteristic information of the images;
an image information reader for reading characteristic information of the image;
the controller further receives the characteristic information and calibrates the characteristic information of the image when judging that the characteristic information of the image meets a preset information threshold.
9. A computer device comprising a memory having stored therein computer readable instructions and a processor for implementing the steps of the method according to any of claims 1 to 7 when the computer readable instructions are executed.
10. A computer program product, characterized in that the computer program product comprises a computer program for implementing the method according to any one of claims 1 to 7 when being executed by a computer.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311055784.3A CN117197234A (en) | 2023-08-21 | 2023-08-21 | HUD image calibration method, HUD image calibration system and HUD image calibration computer program product |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311055784.3A CN117197234A (en) | 2023-08-21 | 2023-08-21 | HUD image calibration method, HUD image calibration system and HUD image calibration computer program product |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117197234A true CN117197234A (en) | 2023-12-08 |
Family
ID=89004423
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311055784.3A Pending CN117197234A (en) | 2023-08-21 | 2023-08-21 | HUD image calibration method, HUD image calibration system and HUD image calibration computer program product |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117197234A (en) |
-
2023
- 2023-08-21 CN CN202311055784.3A patent/CN117197234A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9412318B2 (en) | Display device for adjusting gray-level of image frame depending on environment illumination | |
| CN109993713B (en) | Image distortion correction method and device for vehicle-mounted head-up display system | |
| CN107644607B (en) | Color temperature adjusting method of display panel and display device | |
| WO2021196716A1 (en) | Information display control method and apparatus, and vehicle | |
| CN113920102A (en) | Imaging detection method, device, equipment, system and storage medium | |
| CN110853560A (en) | Display correction method, device, equipment and storage medium | |
| CN111435269A (en) | Display adjusting method, system, medium and terminal of vehicle head-up display device | |
| CN110733430A (en) | Head-up display apparatus, vehicle including the same, and method of controlling head-up display apparatus | |
| CN109584769A (en) | Control method, display panel and the storage medium of display panel | |
| CN111459375B (en) | Page sliding position control method and device, electronic equipment and storage medium | |
| CN117197234A (en) | HUD image calibration method, HUD image calibration system and HUD image calibration computer program product | |
| CN109559707B (en) | Gamma value processing method and device of display panel and display equipment | |
| US20230137121A1 (en) | Vehicle display control device | |
| CN113870800B (en) | Backlight adjusting method and device, terminal equipment and storage medium | |
| CN115205138A (en) | Method and system for correcting image distortion | |
| CN114331888A (en) | Anti-distortion method and device and head-up display system | |
| US20210213879A1 (en) | Dynamic vehicle mirror adjustment | |
| CN114765018A (en) | Transparent display device and method of driving the same | |
| CN113038098A (en) | Vehicle-mounted projection device and control method thereof | |
| CN112114427A (en) | HUD projection height adjusting method, device and equipment and vehicle | |
| CN115578283B (en) | Distortion correction method and device for HUD imaging, terminal equipment and storage medium | |
| CN114155817B (en) | Color correction method of HUD display system | |
| CN117984898A (en) | Image display method of electronic rearview mirror and related equipment thereof | |
| CN113643671A (en) | Defect compensation method and device of display panel and terminal equipment | |
| CN109616047B (en) | Mobile equipment, display and method for eliminating ghost shadow of display |
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 |