CN113034618A - Method and system for measuring imaging distance of automobile head-up display - Google Patents
Method and system for measuring imaging distance of automobile head-up display Download PDFInfo
- Publication number
- CN113034618A CN113034618A CN202110426683.7A CN202110426683A CN113034618A CN 113034618 A CN113034618 A CN 113034618A CN 202110426683 A CN202110426683 A CN 202110426683A CN 113034618 A CN113034618 A CN 113034618A
- Authority
- CN
- China
- Prior art keywords
- camera
- shift
- pixel
- virtual image
- module
- 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
- 238000003384 imaging method Methods 0.000 title claims abstract description 37
- 238000000034 method Methods 0.000 title claims abstract description 18
- 238000005259 measurement Methods 0.000 claims description 14
- 238000012360 testing method Methods 0.000 description 6
- 238000001514 detection method Methods 0.000 description 5
- 238000009434 installation Methods 0.000 description 5
- 238000004519 manufacturing process Methods 0.000 description 5
- 238000013461 design Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 230000007547 defect Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 210000003128 head Anatomy 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/80—Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10141—Special mode during image acquisition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30244—Camera pose
Landscapes
- Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Measurement Of Optical Distance (AREA)
- Length Measuring Devices By Optical Means (AREA)
Abstract
The invention provides a method and a system for measuring the imaging distance of an automobile head-up display, comprising the following steps: calibrating a camera to obtain a fixed coefficient pixel _ depth; when the camera is positioned at the position P1, shooting a fixed point c to acquire a virtual image 1, and measuring a position coordinate d of the fixed point c in the virtual image 1; when the camera is located at the position P2, shooting a fixed point c to acquire a virtual image 2, and measuring a position coordinate f of the fixed point c in the virtual image 2; calculating the position coordinate d of the fixed point c in the virtual image figure 1 and the offset pixel _ shift of the position coordinate f of the fixed point c in the virtual image figure 2; calculating the distance camera _ shift between the position of the camera P1 and the position of the camera P2; and calculating the imaging distance L according to the camera calibration fixed coefficient pixel _ depth, the shift pixel _ shift and the distance camera _ shift between the position of the camera P1 and the position of the camera P2.
Description
Technical Field
The invention relates to the technical field of automobile terminal assembly, in particular to an automobile head-up display imaging distance measuring method and system.
Background
The automobile head-up display is a multifunctional instrument panel which is operated by a driver in a blind mode and is centered on the driver, important driving information such as speed per hour and navigation can be projected onto a windshield in front of the driver, an image is formed in front of the windshield, and the driver can see the important driving information such as speed per hour and navigation without lowering or turning the head to the greatest extent.
The test of the automobile head-up display is to present the virtual image of the head-up display at the position of the front windshield of the automobile, to be visible within the visual angle range of a driver, place a camera at the position of an eye box of the driver for shooting, capture the virtual image of the head-up display by test software through the camera, and analyze the virtual image of the head-up display so as to judge the imaging quality of the virtual image of the head-up display. The imaging quality of the virtual image is determined by the result that the head-up display projects onto the free-form surface mirror and reflects onto the front windshield, and the design, manufacture and installation of the free-form surface mirror and the design, manufacture and installation of the windshield all affect the imaging quality. If the design, manufacture and installation of the free-form surface mirror and the design, manufacture and installation of the windshield are wrong, the image formation result of the virtual image will generate the deformation and ghost phenomenon of each pattern.
The existing automobile head-up display detection system used in an automobile terminal assembly line has the defects of large volume, difficult installation, complex operation flow, difficult correction, large amount of modification for different automobile types and the like.
Patent document CN208805344U (application number: 201821657606.2) discloses an automobile head-up display terminal assembly detection system, which includes a fixing seat, a lifting column, a parallel rail and a linking bracket of a bracket part, a front stop positioning rod, a positioning test board and a front positioning cross bar of a front positioning part of an automobile, a camera base, a detection camera, a camera arm cross bar rail and a camera arm cross bar of a camera mechanical arm. The automobile with the head-up display installed enters a detection lane, a front windshield is pushed to a front stop positioning rod, and the parallel track and the linkage support ensure that the automobile completely pushes the front stop positioning rod and cannot damage the automobile glass; the camera arm cross rod track and the camera arm cross rod rotate by 90 degrees, the camera arm cross rod is aligned with a cab window and extends into a cab, and the detection camera detects a picture displayed by the head-up display.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a method and a system for measuring the imaging distance of an automobile head-up display.
The invention provides a method for measuring the imaging distance of an automobile head-up display, which comprises the following steps:
step S1: calibrating a camera to obtain a fixed coefficient pixel _ depth;
step S2: when the camera is positioned at the position P1, shooting a fixed point c to acquire a virtual image 1, and measuring a position coordinate d of the fixed point c in the virtual image 1;
step S3: when the camera is located at the position P2, shooting a fixed point c to acquire a virtual image 2, and measuring a position coordinate f of the fixed point c in the virtual image 2;
step S4: calculating the position coordinate d of the fixed point c in the virtual image figure 1 and the offset pixel _ shift of the position coordinate f of the fixed point c in the virtual image figure 2;
step S5: calculating the distance camera _ shift between the position of the camera P1 and the position of the camera P2;
step S6: and calculating the imaging distance L according to the camera calibration fixed coefficient pixel _ depth, the shift pixel _ shift and the distance camera _ shift between the position of the camera P1 and the position of the camera P2.
Preferably, the step S1 includes:
step S1.1: installing a dot calibration plate, wherein dots are aligned to the center of the camera;
step S1.2: adjusting the working distance of the camera to be a preset value WD, collecting a virtual image 11, and positioning coordinates of dots in the virtual image 11;
step S1.3: controlling the robot to move the camera to translate a preset value camera _ shift', keeping a camera acquisition angle unchanged, acquiring a virtual image 22, and positioning coordinates of a dot in the virtual image 22;
step S1.4: the pixel distance pixel _ shift' of the dots in the two images is calculated, and the fixed coefficient pixel _ depth is calculated.
Preferably, said step S1.8 comprises:
pixel/degree＝2π*pixel_shift′/360*atan(camera_shift′/WD) (1)。
preferably, the step S6 includes:
pixel/degree＝2π*pixel_shift/360*atan(camera_shift/L) (2)。
the invention provides an imaging distance measuring system of an automobile head-up display, which comprises:
module M1: calibrating a camera to obtain a fixed coefficient pixel _ depth;
module M2: when the camera is positioned at the position P1, shooting a fixed point c to acquire a virtual image 1, and measuring a position coordinate d of the fixed point c in the virtual image 1;
module M3: when the camera is located at the position P2, shooting a fixed point c to acquire a virtual image 2, and measuring a position coordinate f of the fixed point c in the virtual image 2;
module M4: calculating the position coordinate d of the fixed point c in the virtual image figure 1 and the offset pixel _ shift of the position coordinate f of the fixed point c in the virtual image figure 2;
module M5: calculating the distance camera _ shift between the position of the camera P1 and the position of the camera P2;
module M6: and calculating the imaging distance L according to the camera calibration fixed coefficient pixel _ depth, the shift pixel _ shift and the distance camera _ shift between the position of the camera P1 and the position of the camera P2.
Preferably, said module M1 comprises:
module M1.1: installing a dot calibration plate, wherein dots are aligned to the center of the camera;
module M1.2: adjusting the working distance of the camera to be a preset value WD, collecting a virtual image 11, and positioning coordinates of dots in the virtual image 11;
module M1.3: controlling the robot to move the camera to translate a preset value camera _ shift', keeping a camera acquisition angle unchanged, acquiring a virtual image 22, and positioning coordinates of a dot in the virtual image 22;
module M1.4: the pixel distance pixel _ shift' of the dots in the two images is calculated, and the fixed coefficient pixel _ depth is calculated.
Preferably, said module M1.8 comprises:
pixel/degree＝2π*pixel_shift′/360*atan(camera_shift′/WD) (1)。
preferably, said module M6 comprises:
pixel/degree＝2π*pixel_shift/360*atan(camera_shift/L) (2)。
compared with the prior art, the invention has the following beneficial effects:
1. the invention uses the robot arm to drive the camera, only 1 camera is needed, and the position/angle of the camera can be set arbitrarily;
2. the invention avoids the measurement deviation caused by the difference between the cameras, and is compatible with multi-model measurement;
drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a flow chart of a method for measuring an imaging distance of an automotive heads-up display;
FIG. 2 is a schematic diagram of an automotive heads-up display test system;
FIG. 3 is a schematic diagram of a testing system for a head-up display of an automobile
FIG. 4 is a schematic diagram of a camera calibration to obtain a fixed coefficient;
FIG. 5 is a schematic view of an automotive heads-up display imaging distance measurement system;
FIG. 6 is a schematic diagram of an automotive heads-up display imaging distance measurement system.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that it would be obvious to those skilled in the art that various changes and modifications can be made without departing from the spirit of the invention. All falling within the scope of the present invention.
Example 1
The traditional camera ranging uses a double-camera scheme, namely 1 camera is respectively arranged at the left and the right. Two disadvantages are that the differences between the 2 cameras require calibration; secondly, the distance between 2 cameras is limited by a mechanical structure, and the distance between the cameras cannot be flexibly changed.
According to the method for measuring the imaging distance of the head-up display of the automobile, as shown in fig. 1 to 6, the method comprises the following steps:
step S1: calibrating a camera to obtain a fixed coefficient pixel _ depth;
step S2: when the camera is positioned at the position P1, shooting a fixed point c to acquire a virtual image 1, and measuring a position coordinate d of the fixed point c in the virtual image 1;
step S3: when the camera is located at the position P2, shooting a fixed point c to acquire a virtual image 2, and measuring a position coordinate f of the fixed point c in the virtual image 2;
step S4: calculating the position coordinate d of the fixed point c in the virtual image figure 1 and the offset pixel _ shift of the position coordinate f of the fixed point c in the virtual image figure 2;
step S5: calculating the distance camera _ shift between the position of the camera P1 and the position of the camera P2;
step S6: and calculating the imaging distance L according to the camera calibration fixed coefficient pixel _ depth, the shift pixel _ shift and the distance camera _ shift between the position of the camera P1 and the position of the camera P2.
Specifically, the step S1 includes:
step S1.1: installing a dot calibration plate, wherein dots are aligned to the center of the camera;
step S1.2: adjusting the working distance of the camera to be a preset value WD, collecting a virtual image 11, and positioning coordinates of dots in the virtual image 11;
step S1.3: controlling the robot to move the camera to translate a preset value camera _ shift', keeping a camera acquisition angle unchanged, acquiring a virtual image 22, and positioning coordinates of a dot in the virtual image 22;
step S1.4: the pixel distance pixel _ shift' of the dots in the two images is calculated, and the fixed coefficient pixel _ depth is calculated.
In particular, said step S1.8 comprises:
pixel/degree＝2π*pixel_shift′/360*atan(camera_shift′/WD) (1)。
specifically, the step S6 includes:
pixel/degree＝2π*pixel_shift/360*atan(camera_shift/L) (2)。
the invention provides an imaging distance measuring system of an automobile head-up display, which comprises:
module M1: calibrating a camera to obtain a fixed coefficient pixel _ depth;
module M2: when the camera is positioned at the position P1, shooting a fixed point c to acquire a virtual image 1, and measuring a position coordinate d of the fixed point c in the virtual image 1;
module M3: when the camera is located at the position P2, shooting a fixed point c to acquire a virtual image 2, and measuring a position coordinate f of the fixed point c in the virtual image 2;
module M4: calculating the position coordinate d of the fixed point c in the virtual image figure 1 and the offset pixel _ shift of the position coordinate f of the fixed point c in the virtual image figure 2;
module M5: calculating the distance camera _ shift between the position of the camera P1 and the position of the camera P2;
module M6: and calculating the imaging distance L according to the camera calibration fixed coefficient pixel _ depth, the shift pixel _ shift and the distance camera _ shift between the position of the camera P1 and the position of the camera P2.
Specifically, the module M1 includes:
module M1.1: installing a dot calibration plate, wherein dots are aligned to the center of the camera;
module M1.2: adjusting the working distance of the camera to be a preset value WD, collecting a virtual image 11, and positioning coordinates of dots in the virtual image 11;
module M1.3: controlling the robot to move the camera to translate a preset value camera _ shift', keeping a camera acquisition angle unchanged, acquiring a virtual image 22, and positioning coordinates of a dot in the virtual image 22;
module M1.4: the pixel distance pixel _ shift' of the dots in the two images is calculated, and the fixed coefficient pixel _ depth is calculated.
In particular, said module M1.8 comprises:
pixel/degree＝2π*pixel_shift′/360*atan(camera_shift′/WD) (1)。
specifically, the module M6 includes:
pixel/degree＝2π*pixel_shift/360*atan(camera_shift/L) (2)。
example 2
Example 2 is a preferred example of example 1
Imaging distance measurement for a measurement system
Principle description of head-up display imaging
As shown in fig. 1, a box is a product to be tested (WHUD head-up display), and reference numeral 1 is an image signal source; reference numeral 2 is a mirror 1; reference numeral 3 a mirror 2; the three parts are three parts inside a product to be tested (WHUD head-up display). Reference numeral 4 is an automobile windshield; reference numeral 5 is a virtual image; reference numeral 6 denotes a driver window (position of driver's eyes)
The optical path of the imaging is described as follows:
the image source generates an image source 1, which is reflected by a reflecting mirror 12 and a reflecting mirror 23 in sequence, and then forms a virtual image 5 on a windshield 4 of the automobile. The windscreen 4 of the vehicle also corresponds to a mirror and the virtual image 5 is the image in the mirror. The driver observes a virtual image 5 in the windscreen at a driver window 6. For the measuring system, the driver window 6 is also the location where the camera is mounted.
The reflector 23 is driven by a stepping motor (one of the internal parts of the WHUD head-up display), can rotate at an angle, and when the angle of the reflector 23 changes, the direction of the light path changes correspondingly, so that the position of the virtual image 5 also changes (the up-down position changes, so as to adapt to drivers with different heights)
The imaging distance refers to the distance from the eyes of the driver to the virtual image of the head-up display. As shown in fig. 1, the distance between Eye-box (driver Eye-box) and Virtual image (Virtual image of heads-up display presented on the windshield of the car).
The equipment realizes a structural framework: as shown in fig. 2, includes: a virtual head-up display image A; a stepping motor slipway B; (can translate D to pick and place the product to be tested) -the product to be tested-heads up display C; simulating an automobile windshield D; a camera E; the robot F can drive the camera to realize multi-position measurement;
windshield D, the product WHUD that awaits measuring new line display C, measuring camera E, driver window position, spatial position between the three accords with the car drawing, promptly, windshield, WHUD, driver's three's position. During testing, the relative positions of the whole vehicle, namely the windshield D, the WHUD head-up display C of a product to be tested and the measuring camera E, need to be ensured.
The stepping motor sliding table B and the windshield D are integrated, and the stepping motor sliding table B is a support for fixing the windshield D. The stepping motor sliding table B is arranged on the horizontal sliding table and can horizontally slide left and right, and the purpose is that when the stepping motor sliding table B moves left, a space can be avoided, so that a worker can conveniently take and place a product to be tested WHUD head-up display C.
Robot F is a 6-axis robot, camera E, which is mounted on the robot. By controlling the robot F, the visual angle and the position of the camera E can be adjusted, different positions in the eye window are simulated, and photographing measurement is carried out.
The imaging distance measurement process is as follows:
1. placing a product C to be tested in a testing tool fixture;
2. the step motor sliding table B moves the simulation windshield D to a measuring point position, the position of the position needs to meet the position relation between the simulation windshield D and a product C to be measured, and the position is the same as the relative position of a head-up display product C and an automobile windshield in an automobile so as to ensure a correct imaging light path;
3. the robot arm F drives the camera E to move to a position p1, and an image img1 is collected;
4. the robot arm F drives the camera E to move to a position p2, and an image img2 is collected; as shown in FIG. 5, the p1 is shifted 50mm relative to p0 and the p2 is shifted 50mm in the opposite direction relative to p0 on the virtual image optical path central axis at the p0 position.
The imaging distance L calculation method comprises the following steps:
first, as shown in fig. 3, the camera is calibrated to obtain a fixed coefficient, which is denoted as k; the calibration is only done once, namely, the calibration is done once when the equipment is built.
Calibrating a camera to obtain a fixed coefficient, comprising:
1. installing a dot calibration plate, and aligning dot with the center of the camera;
2. adjusting the working distance of the camera to 2000mm (WD)
3. Collecting an image 1;
4. using image processing software to locate the coordinates of dot in the image 1;
5. controlling the robot to move the camera to translate by 100mm (camera _ shift), and keeping the acquisition angle of the camera unchanged;
6. collecting an image 2;
7. using image processing software to locate the coordinates of dot in the image 2;
8. calculating pixel distance pixel _ shift of dot in the two images;
9. calculating a coefficient;
pixel/degree＝2π*pixel_shift/360*atan(camera_shift/WD)
the measurement process in the production process is as follows:
the camera is positioned at the position p1 to acquire a picture 1, and the central coordinate 1 of the virtual image is measured
The camera is positioned at the position p2 to acquire a picture 2, and the central coordinate 2 of the virtual image is measured
Calculating the pixel shift of the virtual image center coordinates 1, 2 in fig. 4, i.e., pixel _ shift
The distance between the Camera positions p1 and p2 is set to 100mm, i.e., Camera _ shift is 100mm
WD (WD, i.e., the imaging distance L) can be obtained from the formula of k 2 pi pixel _ shift/360 atan (Camera _ shift/WD).
Those skilled in the art will appreciate that, in addition to implementing the systems, apparatus, and various modules thereof provided by the present invention in purely computer readable program code, the same procedures can be implemented entirely by logically programming method steps such that the systems, apparatus, and various modules thereof are provided in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Therefore, the system, the device and the modules thereof provided by the present invention can be considered as a hardware component, and the modules included in the system, the device and the modules thereof for implementing various programs can also be considered as structures in the hardware component; modules for performing various functions may also be considered to be both software programs for performing the methods and structures within hardware components.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.
Claims (8)
1. An imaging distance measuring method of an automobile head-up display is characterized by comprising the following steps:
step S1: calibrating a camera to obtain a fixed coefficient pixel _ depth;
step S2: when the camera is positioned at the position P1, shooting a fixed point c to acquire a virtual image 1, and measuring a position coordinate d of the fixed point c in the virtual image 1;
step S3: when the camera is located at the position P2, shooting a fixed point c to acquire a virtual image 2, and measuring a position coordinate f of the fixed point c in the virtual image 2;
step S4: calculating the position coordinate d of the fixed point c in the virtual image figure 1 and the offset pixel _ shift of the position coordinate f of the fixed point c in the virtual image figure 2;
step S5: calculating the distance camera _ shift between the position of the camera P1 and the position of the camera P2;
step S6: and calculating the imaging distance L according to the camera calibration fixed coefficient pixel _ depth, the shift pixel _ shift and the distance camera _ shift between the position of the camera P1 and the position of the camera P2.
2. The method for measuring imaging distance of automotive head-up display according to claim 1, wherein the step S1 includes:
step S1.1: installing a dot calibration plate, wherein dots are aligned to the center of the camera;
step S1.2: adjusting the working distance of the camera to be a preset value WD, collecting a virtual image 11, and positioning coordinates of dots in the virtual image 11;
step S1.3: controlling the robot to move the camera to translate a preset value camera _ shift', keeping a camera acquisition angle unchanged, acquiring a virtual image 22, and positioning coordinates of a dot in the virtual image 22;
step S1.4: the pixel distance pixel _ shift' of the dots in the two images is calculated, and the fixed coefficient pixel _ depth is calculated.
3. The method of claim 1, wherein the step S1.8 comprises:
pixel/degree＝2π*pixel_shift′/360*atan(camera_shift′/WD) (1)。
4. the method for measuring imaging distance of automotive head-up display according to claim 1, wherein the step S6 includes:
pixel/degree＝2π*pixel_shift/360*atan(camera_shift/L) (2)。
5. an automotive heads-up display imaging distance measurement system, comprising:
module M1: calibrating a camera to obtain a fixed coefficient pixel _ depth;
module M2: when the camera is positioned at the position P1, shooting a fixed point c to acquire a virtual image 1, and measuring a position coordinate d of the fixed point c in the virtual image 1;
module M3: when the camera is located at the position P2, shooting a fixed point c to acquire a virtual image 2, and measuring a position coordinate f of the fixed point c in the virtual image 2;
module M4: calculating the position coordinate d of the fixed point c in the virtual image figure 1 and the offset pixel _ shift of the position coordinate f of the fixed point c in the virtual image figure 2;
module M5: calculating the distance camera _ shift between the position of the camera P1 and the position of the camera P2;
module M6: and calculating the imaging distance L according to the camera calibration fixed coefficient pixel _ depth, the shift pixel _ shift and the distance camera _ shift between the position of the camera P1 and the position of the camera P2.
6. The automotive heads-up display imaging distance measurement system of claim 5, characterized in that the module M1 includes:
module M1.1: installing a dot calibration plate, wherein dots are aligned to the center of the camera;
module M1.2: adjusting the working distance of the camera to be a preset value WD, collecting a virtual image 11, and positioning coordinates of dots in the virtual image 11;
module M1.3: controlling the robot to move the camera to translate a preset value camera _ shift', keeping a camera acquisition angle unchanged, acquiring a virtual image 22, and positioning coordinates of a dot in the virtual image 22;
module M1.4: the pixel distance pixel _ shift' of the dots in the two images is calculated, and the fixed coefficient pixel _ depth is calculated.
7. The automotive heads-up display imaging distance measurement system of claim 6, characterized in that the module M1.8 comprises:
pixel/degree＝2π*pixel_shift′/360*atan(camera_shift′/WD) (1)。
8. the automotive heads-up display imaging distance measurement system of claim 6, characterized in that the module M6 includes:
pixel/degree＝2π*pixel_shift/360*atan(camera_shift/L) (2)。
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110426683.7A CN113034618A (en) | 2021-04-20 | 2021-04-20 | Method and system for measuring imaging distance of automobile head-up display |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110426683.7A CN113034618A (en) | 2021-04-20 | 2021-04-20 | Method and system for measuring imaging distance of automobile head-up display |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113034618A true CN113034618A (en) | 2021-06-25 |
Family
ID=76457058
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110426683.7A Pending CN113034618A (en) | 2021-04-20 | 2021-04-20 | Method and system for measuring imaging distance of automobile head-up display |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113034618A (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106681004A (en) * | 2017-02-14 | 2017-05-17 | 深圳前海智云谷科技有限公司 | Embedded head-up display device |
| CN108088414A (en) * | 2017-12-05 | 2018-05-29 | 苏州天瞳威视电子科技有限公司 | A kind of monocular distance measuring method |
| CN109146980A (en) * | 2018-08-12 | 2019-01-04 | 浙江农林大学 | The depth extraction and passive ranging method of optimization based on monocular vision |
| CN109270693A (en) * | 2018-08-06 | 2019-01-25 | 乔士琪 | Automobile head-up display device is filled before a kind of |
| CN111174764A (en) * | 2020-01-22 | 2020-05-19 | 福建天泉教育科技有限公司 | Single-camera translation system and single-camera distance measurement method |
| CN111515944A (en) * | 2020-03-30 | 2020-08-11 | 季华实验室 | Automatic calibration method for non-fixed path robot |
| CN111664839A (en) * | 2020-05-20 | 2020-09-15 | 重庆大学 | Vehicle-mounted head-up display virtual image distance measuring method |
| CN112655024A (en) * | 2020-10-30 | 2021-04-13 | 华为技术有限公司 | Image calibration method and device |
| CN212965636U (en) * | 2020-10-24 | 2021-04-13 | 深圳市锐思华创技术有限公司 | Head-up display optical system based on small inclination angle |
-
2021
- 2021-04-20 CN CN202110426683.7A patent/CN113034618A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106681004A (en) * | 2017-02-14 | 2017-05-17 | 深圳前海智云谷科技有限公司 | Embedded head-up display device |
| CN108088414A (en) * | 2017-12-05 | 2018-05-29 | 苏州天瞳威视电子科技有限公司 | A kind of monocular distance measuring method |
| CN109270693A (en) * | 2018-08-06 | 2019-01-25 | 乔士琪 | Automobile head-up display device is filled before a kind of |
| CN109146980A (en) * | 2018-08-12 | 2019-01-04 | 浙江农林大学 | The depth extraction and passive ranging method of optimization based on monocular vision |
| CN111174764A (en) * | 2020-01-22 | 2020-05-19 | 福建天泉教育科技有限公司 | Single-camera translation system and single-camera distance measurement method |
| CN111515944A (en) * | 2020-03-30 | 2020-08-11 | 季华实验室 | Automatic calibration method for non-fixed path robot |
| CN111664839A (en) * | 2020-05-20 | 2020-09-15 | 重庆大学 | Vehicle-mounted head-up display virtual image distance measuring method |
| CN212965636U (en) * | 2020-10-24 | 2021-04-13 | 深圳市锐思华创技术有限公司 | Head-up display optical system based on small inclination angle |
| CN112655024A (en) * | 2020-10-30 | 2021-04-13 | 华为技术有限公司 | Image calibration method and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR101526424B1 (en) | Inspection device and method of head up display for vehicle | |
| KR101023275B1 (en) | Calibration method and apparatus for automotive camera system, and method and ecu for determining angular misalignments of automotive camera system | |
| JP5835595B2 (en) | Method and apparatus for testing lighting driving assistance systems | |
| KR101510338B1 (en) | Device for inspecting lane departure warning system of vehicle | |
| DE102018215185B3 (en) | Method, apparatus and computer-readable storage medium with instructions for setting a head-up display in a motor vehicle, adjusting device for use in such a method or with such a device | |
| DE102011075702A1 (en) | Method for aligning projection of projection device of motor vehicle, involves determining deviation between position of specific image and position of object regarding viewpoint of occupants | |
| CN112946891A (en) | Head-up display image acquisition and correction | |
| CN114270136A (en) | Vehicle alignment and sensor calibration system | |
| CN110389041B (en) | System and method for testing vehicle look-around and ultrasonic integrated system | |
| CN208239091U (en) | A kind of five axis optical platforms for HUD optical detection | |
| CN109827756A (en) | A kind of vehicle-mounted WHUD virtual image test macro and test method | |
| CN111638041A (en) | Position adjusting device, curved surface display screen testing equipment and testing method | |
| CN109060311B (en) | HUD stray light test equipment | |
| CN104249655A (en) | Vehicle image display method and system | |
| CN112782702A (en) | Full-screen mobile phone screen detection device and detection method based on machine vision | |
| CN115248506A (en) | Shutter for correcting image position of virtual image | |
| CN209910947U (en) | Detection apparatus for driving auxiliary vision system | |
| JP2022515519A (en) | Robot target alignment for vehicle sensor calibration | |
| CN113034618A (en) | Method and system for measuring imaging distance of automobile head-up display | |
| CN110567684B (en) | Detection system and method capable of being used for head-up display glass design and development | |
| CN111323209B (en) | HUD stray light automatic test system and test method | |
| CN111813036A (en) | Eye point simulator and design checking device for front view of automobile | |
| CN110727104A (en) | Automobile front windshield glass imaging checking method and automobile | |
| CN113554715B (en) | Facility system for AVM image calibration and calibration method | |
| CN108692914B (en) | Camera module glare testing method and device |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210625 |