CN116017174B - HUD distortion correction method, device and system - Google Patents
HUD distortion correction method, device and system Download PDFInfo
- Publication number
- CN116017174B CN116017174B CN202211700988.3A CN202211700988A CN116017174B CN 116017174 B CN116017174 B CN 116017174B CN 202211700988 A CN202211700988 A CN 202211700988A CN 116017174 B CN116017174 B CN 116017174B
- Authority
- CN
- China
- Prior art keywords
- image
- distortion correction
- position information
- distance
- vehicle
- 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.)
- Active
Links
- 238000012937 correction Methods 0.000 title claims abstract description 300
- 238000000034 method Methods 0.000 title claims abstract description 53
- 238000004364 calculation method Methods 0.000 claims description 10
- 238000012795 verification Methods 0.000 claims description 5
- 230000004044 response Effects 0.000 claims description 2
- 238000003384 imaging method Methods 0.000 abstract description 8
- 238000010586 diagram Methods 0.000 description 7
- 230000008569 process Effects 0.000 description 7
- 125000004122 cyclic group Chemical group 0.000 description 2
- 206010052804 Drug tolerance Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000026781 habituation 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
- 238000012545 processing Methods 0.000 description 1
- 230000011664 signaling Effects 0.000 description 1
- 230000002123 temporal effect Effects 0.000 description 1
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/10—Internal combustion engine [ICE] based vehicles
- Y02T10/40—Engine management systems
Abstract
The disclosure relates to the technical field of automotive electronics, in particular to a HUD distortion correction method, device and system, wherein the method is applied to HUDs and comprises the following steps: determining shooting position information of an image according to seat position information, and sending the shooting position information to a vehicle machine so that the vehicle machine can control a camera to shoot the image displayed in front of a front windshield of a vehicle by the HUD according to the shooting position information; receiving a distortion correction instruction sent by a terminal device through the vehicle machine, wherein the distortion correction instruction comprises a first distortion correction parameter; and executing the distortion correction instruction to correct the distortion of the image by adopting the first distortion correction parameter. The HUD image distortion rate can be reduced, and the imaging quality can be improved.
Description
Technical Field
The disclosure relates to the technical field of automotive electronics, in particular to a HUD distortion correction method, device and system.
Background
The distortion correction scheme of the existing Head Up Display system (HUD) is as follows: when the HUD is off line, the distortion correction parameters are acquired in the central eye box and are burnt into the electrified erasable programmable read-only memory (Electrically Erasable Programmable Read Only Memory, EEPROM) of the HUD. When the HUD is powered on or restarted, distortion correction parameters are loaded to correct distortion of an image generated by the HUD.
However, due to the difference in driver height and driving habituation (seat height/seat position), the driver's eye point may not always be located at the center of the image eye box formed by the HUD. Therefore, the distortion correction parameters of the HUD offline calibration cannot meet all conditions of different driving states of all drivers. Therefore, if the eye point of the driver is far from the center of the eye box, the distortion rate of the image formed by the HUD is large, the imaging quality cannot meet the requirements of the driver, and the driving experience is reduced.
It should be noted that the information disclosed in the above background section is only for enhancing understanding of the background of the present disclosure and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
The present disclosure aims to provide a HUD distortion correction method, device and system, so as to overcome the problems of larger image distortion rate, unsatisfactory imaging quality for driver's demand and reduced driving experience caused by the limitations and defects of the related art to at least a certain extent.
Other features and advantages of the present disclosure will be apparent from the following detailed description, or may be learned in part by the practice of the disclosure.
According to a first aspect of the present disclosure, there is provided a head-up display HUD distortion correction method applied to a HUD, the method comprising:
determining shooting position information of an image according to seat position information, and sending the shooting position information to a vehicle machine so that the vehicle machine can control a camera to shoot the image displayed in front of a front windshield of a vehicle by the HUD according to the shooting position information;
receiving a distortion correction instruction sent by a terminal device through the vehicle machine, wherein the distortion correction instruction comprises a first distortion correction parameter, the distortion correction instruction is sent to the HUD through the vehicle machine after the terminal device calculates the first distortion correction parameter according to an image parameter, and the image parameter is generated and sent to the terminal device when the vehicle machine controls the camera to shoot the image according to the shooting position information;
and executing the distortion correction instruction to correct the distortion of the image by adopting the first distortion correction parameter.
According to a second aspect of the present disclosure, there is provided a HUD distortion correcting method applied to a terminal device, the method including:
receiving image parameters sent by a vehicle-mounted device, wherein the image parameters are generated when the vehicle-mounted device controls a camera to shoot an image displayed in front of a front windshield of a vehicle according to shooting position information, and the shooting position information is determined by the HUD according to seat position information and is sent to the vehicle-mounted device;
Calculating a first distortion correction parameter according to the image parameter;
and transmitting a distortion correction instruction to the HUD through the vehicle machine, so that the HUD adopts the first distortion correction parameters to correct the image distortion, wherein the distortion correction instruction comprises the first distortion correction parameters.
According to a third aspect of the present disclosure there is provided a HUD distortion correcting device for use in a HUD, the device comprising:
the shooting position information acquisition module is used for determining shooting position information of an image according to seat position information and sending the shooting position information to the vehicle machine so that the vehicle machine can control a camera to shoot the image of the HUD displayed in front of a front windshield of a vehicle according to the shooting position information;
the distortion correction instruction receiving module is used for receiving a distortion correction instruction sent by the terminal equipment through the vehicle machine, wherein the distortion correction instruction comprises a first distortion correction parameter, the distortion correction instruction is sent to the HUD through the vehicle machine after the terminal equipment calculates the first distortion correction parameter according to an image parameter, and the image parameter is generated and sent to the terminal equipment when the vehicle machine controls the camera to shoot the image according to the shooting position information;
And the distortion correction module is used for executing the distortion correction instruction so as to correct the distortion of the image by adopting the first distortion correction parameter.
According to a fourth aspect of the present disclosure, there is provided a HUD distortion correcting apparatus applied to a terminal device, the apparatus comprising:
the image parameter receiving module is used for receiving image parameters sent by the vehicle machine, wherein the image parameters are generated when the vehicle machine controls the camera to shoot an image of the HUD displayed in front of the front windshield of the vehicle according to shooting position information, and the shooting position information is determined by the HUD according to seat position information and is sent to the vehicle machine;
the distortion correction parameter calculation module is used for calculating a first distortion correction parameter according to the image parameter;
and the distortion correction instruction sending module is used for sending a distortion correction instruction to the HUD through the vehicle machine, so that the HUD adopts the first distortion correction parameters to correct the image distortion, and the distortion correction instruction comprises the first distortion correction parameters.
According to a fifth aspect of the present disclosure, there is provided a HUD distortion correcting system comprising:
camera, car machine, terminal equipment and HUD; the vehicle-mounted device is connected with the camera, the terminal equipment and the HUD respectively;
The HUD is used for acquiring shooting position information of an image and sending the shooting position information to the vehicle machine;
the vehicle machine is used for controlling the camera to shoot an image of the HUD displayed in front of a front windshield of a vehicle according to the shooting position information, and generating image parameters;
the HUD is further used for receiving image parameters sent by the vehicle machine, and carrying out distortion correction on the image by adopting a first distortion correction parameter when receiving a distortion correction instruction sent by the terminal equipment within a preset time, wherein the distortion correction instruction comprises the first distortion correction parameter;
if the distortion correction instruction sent by the terminal equipment through the vehicle machine is not received within a preset time period, calculating a second distortion correction parameter according to the image parameter, and carrying out distortion correction on the image by adopting the second distortion correction parameter, wherein the image parameter is generated when the camera shoots an image of the HUD displayed in front of a front windshield of the vehicle.
The technical scheme provided by the embodiment of the disclosure can comprise the following beneficial effects:
to sum up, the method provided by the disclosure can modulate distortion correction parameters according to seat position information, and then adopts the distortion correction parameters to correct the image distortion, so that the distortion rate of HUD images can be reduced, the imaging quality is improved to meet the requirements of drivers, and the driving experience is further improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure. It will be apparent to those of ordinary skill in the art that the drawings in the following description are merely examples of the disclosure and that other drawings may be derived from them without undue effort.
FIG. 1 schematically illustrates a block diagram of a HUD distortion correction system in an exemplary embodiment of the present disclosure;
FIG. 2 is a flowchart of a HUD distortion correction method provided in accordance with an exemplary embodiment;
FIG. 3 is a schematic illustration of a vehicle seat position provided in accordance with an exemplary embodiment;
FIG. 4 is a schematic illustration of a bitmap provided in accordance with an exemplary embodiment;
FIG. 5 is a flowchart II of a HUD distortion correction method provided in accordance with an exemplary embodiment;
FIG. 6 is a schematic diagram II of a bitmap provided in accordance with an exemplary embodiment;
Fig. 7 is a signaling interaction diagram of a HUD distortion correcting method according to an exemplary embodiment;
FIG. 8 is a block diagram I of a HUD distortion correction apparatus provided in accordance with an exemplary embodiment;
fig. 9 is a block diagram two of a HUD distortion correcting apparatus according to an exemplary embodiment.
In the drawings, the same or corresponding reference numerals indicate the same or corresponding parts.
Detailed Description
The principles and spirit of the present invention will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are presented merely to enable those skilled in the art to better understand and practice the invention and are not intended to limit the scope of the invention in any way. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Those skilled in the art will appreciate that embodiments of the invention may be implemented as a system, apparatus, device, method, or computer program product. Accordingly, the present disclosure may be embodied in the following forms, namely: complete hardware, complete software (including firmware, resident software, micro-code, etc.), or a combination of hardware and software.
In view of the drawbacks of the prior art, a data distortion correction system is first provided in this exemplary embodiment. Referring to fig. 1, the HUD distortion correcting system 100 may include:
camera 101, car machine 102, terminal equipment 103, and HUD104; the vehicle machine 102 is respectively connected with the camera 101, the terminal equipment 103 and the HUD104;
the HUD104 is configured to acquire shooting position information of an image, and send the shooting position information to a vehicle machine;
the vehicle machine 102 is used for controlling the camera to shoot an image of the HUD displayed in front of a front windshield of a vehicle according to the shooting position information, and generating image parameters;
the HUD104 is further configured to receive an image parameter sent by the vehicle 102, and when receiving a distortion correction instruction sent by the terminal device 103 within a preset duration, perform distortion correction on the image by using a first distortion correction parameter, where the distortion correction instruction includes the first distortion correction parameter; if the distortion correction instruction sent by the terminal device 103 through the vehicle machine 102 is not received within a preset time period, calculating a second distortion correction parameter according to the image parameter, and performing distortion correction on the image by adopting the second distortion correction parameter, wherein the image parameter is generated when the image of the HUD displayed in front of a front windshield of the vehicle is shot by the camera.
How the HUD distortion correction system provided by the present disclosure performs distortion correction is described below. Fig. 2 is a flowchart of a method of HUD distortion correction, which is applied to a HUD, according to an exemplary embodiment. As shown in fig. 2, the method includes:
s21, determining shooting position information of an image according to seat position information, and sending the shooting position information to a vehicle machine so that the vehicle machine can control the camera to shoot the image of the HUD displayed in front of a front windshield of a vehicle according to the shooting position information;
s22, receiving a distortion correction instruction sent by a terminal device through the vehicle machine, wherein the distortion correction instruction comprises a first distortion correction parameter, the distortion correction instruction is sent to the HUD through the vehicle machine after the terminal device calculates the first distortion correction parameter according to an image parameter, and the image parameter is generated and sent to the terminal device when the vehicle machine controls the camera to shoot the image according to the shooting position information;
s23, executing the distortion correction instruction to correct the distortion of the image by adopting the first distortion correction parameter.
In summary, according to the method provided by the present disclosure, the capturing position information of the image is determined according to the seat position information, and the capturing position information is sent to the vehicle, so that the vehicle controls the camera to capture the image of the HUD displayed in front of the front windshield of the vehicle according to the capturing position information; receiving a distortion correction instruction sent by a terminal device through the vehicle machine, wherein the distortion correction instruction comprises a first distortion correction parameter, the distortion correction instruction is sent to the HUD through the vehicle machine after the terminal device calculates the first distortion correction parameter according to an image parameter, and the image parameter is generated and sent to the terminal device when the vehicle machine controls the camera to shoot the image according to the shooting position information; and executing the distortion correction instruction to correct the distortion of the image by adopting the first distortion correction parameter. So can modulate distortion correction parameter according to seat position information, and then adopt distortion correction parameter to carry out distortion correction to the image, can reduce HUD image's distortion rate, improve the imaging quality in order to satisfy the driver demand, and then promote driving experience and feel.
Next, each step in the HUD distortion correcting method in the present exemplary embodiment will be described in more detail with reference to the drawings and examples.
In step S21, the determining the shooting position information of the image according to the seat position information of the driver includes:
s211, receiving the seat position information sent by the vehicle machine, wherein the seat position information comprises a third distance between an eye point of a driver and a seat, a first height of the seat and a fourth distance between the seat and a front windshield of a vehicle;
s212, calculating a first sum value of the third distance and the first height, and taking the first sum value as a second height of the driver' S eye point;
s213, calculating a difference value between the second height and the image height;
s214, calculating a second sum value of a fifth distance and the fourth distance, wherein the fifth distance is the distance between the image and a front windshield of the vehicle;
s215, calculating a first ratio of the difference value to the second sum value, and determining a shooting angle of the camera according to the first ratio;
s216, taking the second height as a shooting position of the camera, and taking the shooting position and the shooting angle as shooting position information.
In one exemplary embodiment of the present disclosure, the vehicle machine may collect seat position information of the driver, including a third distance of the driver's eye point from the seat, a first height of the seat, and a fourth distance of the seat from the vehicle front windshield, and transmit the seat position information of the driver to the HUD.
For example, as shown in FIG. 3, the third distance between the driver's eye point and the seat is a distance perpendicular to the horizontal plane, and the third distance is l 3 . The first height of the seat is the distance between the seat and the horizontal plane of the chassis of the vehicle, and the first height is h 1 . The fourth distance between the seat and the front windshield of the vehicle is the distance between the seat and the front windshield of the vehicle on the horizontal plane, and the fourth distance is l 4 . The image height is the distance of the image of the HUD from the vehicle chassis level, which is m. Fifth distance l between the image and front windshield of vehicle 5 The distance between the image and the front windshield of the vehicle in the horizontal direction.
Second height of driver's eye point l 2 ＝l 3 +h 1 And the second height l 2 Namely the shooting position of the camera, namely the shooting height of the camera is l 2 . Second height l 2 Difference n=l from image height m 2 -m. Fifth distance l 5 And the fourth distance l 4 P=l 5 +l 4 . When the imaging angle of the camera is θ, tan θ=n/p, and θ=arctan (n/p).
Further, after the shooting angle and the shooting position are determined, the shooting angle and the shooting position are sent to the car machine, so that the car machine controls the camera to shoot the image at the shooting angle at the shooting position.
In step S22, a distortion correction instruction sent by the terminal device through the vehicle machine is received; the distortion correction instruction comprises a first distortion correction parameter, the distortion correction instruction is sent to the HUD through the vehicle after the terminal equipment calculates the first distortion correction parameter according to an image parameter, and the image parameter is generated and sent to the terminal equipment when the vehicle controls the camera to shoot the image according to shooting position information.
In step S23, executing the distortion correction instruction includes:
s231, checking the first distortion correction parameters;
and S232, if the first distortion correction parameter passes the verification, executing the distortion correction instruction to correct the distortion of the image by adopting the first distortion correction parameter.
In an exemplary embodiment of the present disclosure, if a distortion correction instruction sent by a terminal device through a vehicle is received within a preset time period, a cyclic redundancy check (Cyclic Redundancy Check, CRC) is performed on the first distortion correction parameter. And if the first distortion correction parameter CRC passes, performing distortion correction on the image by adopting the first distortion correction parameter.
Based on the foregoing, in an exemplary embodiment of the disclosure, the method further includes:
and S24, if the first distortion correction parameter is not checked, calculating a second distortion correction parameter according to the image parameter, and adopting the second distortion correction parameter to correct the image distortion.
Specifically, if the first distortion correction parameter CRC does not pass, the HUD calculates a second distortion correction parameter according to the image parameter, and performs distortion correction on the image using the second distortion correction parameter.
Based on the foregoing, in an exemplary embodiment of the present disclosure, before the foregoing distortion correction instruction sent by the terminal device is received by the vehicle machine, the method further includes:
receiving the image parameters sent by the vehicle machine;
if the distortion correction instruction sent by the terminal equipment is not received within a preset time period, calculating the second distortion correction parameter according to the image parameter, and carrying out distortion correction on the image by adopting the second distortion correction parameter.
In an exemplary embodiment of the present disclosure, when the camera is controlled by the car machine to capture the image at the capturing angle at the capturing position, the camera may transmit an image parameter generated when capturing an image of the HUD displayed in front of the front windshield of the car to the car machine. After the vehicle machine receives the image parameters, the image parameters are sent to the HUD, and then the HUD can receive the image parameters sent by the vehicle machine.
In an exemplary embodiment of the present disclosure, calculating the second distortion correction parameter according to the image parameter includes:
s1, acquiring a first pixel value and first position information of each first pixel point of the image from the image parameter;
s2, obtaining a second pixel value and second position information of each second pixel point in the preset standard bitmap.
In one exemplary embodiment of the present disclosure, a first edge pixel of the image and a first pixel value of a first center pixel are obtained from each first pixel of the image in the image parameter. The first edge pixel point is an edge pixel point in the first pixel point, and the first center pixel point is a center pixel point in the first pixel point.
Further, after the first pixel values of the first edge pixel point and the first center pixel point are obtained, a lattice diagram of the image is drawn according to the first pixel values of the first edge pixel point and the first center pixel point. After a bitmap of the image is drawn, a coordinate system is established, and first position information of each first edge pixel point and each first center pixel point in the bitmap of the image under the coordinate system, namely first coordinate positions of each first edge pixel point and each first center pixel point, is obtained; and acquiring second position information of each second pixel point in the preset bitmap under the coordinate system, namely second coordinate positions of each second edge pixel point and each second center pixel point.
S3, determining second pixel points corresponding to the first pixel points respectively according to the first pixel values and the second pixel values;
in an exemplary embodiment of the disclosure, for any one first edge pixel point, a second edge pixel point having a second pixel value identical to a first pixel value of the first edge pixel point is determined, and then, according to the second position information and the first position information, a second edge pixel point closest to the first edge pixel point is determined from a second edge pixel point having a second pixel value identical to the first pixel value of the first edge pixel point, and then, the second edge pixel point closest to the first edge pixel point is taken as a second edge pixel point corresponding to the first edge pixel point.
For example, as shown in fig. 4, the second pixel point having the same second pixel value as the first pixel value of the first edge pixel point a includes a second pixel point b and a second pixel point c, and the distance between a and b is smaller than the distance between a and c, and the second pixel point b is regarded as the second pixel point corresponding to the first edge pixel point a.
S4, calculating first position offset information of the first pixel point and a second pixel point corresponding to the first pixel point according to the first position information and the second position information.
For example, as shown in fig. 4, if the second edge pixel point corresponding to the first edge pixel point a is b, and the first position information of a is (x 1 ，y 1 ) The second position information of b is (x 2 ，y 2 ) The first positional shift information of a and b is (x 2 -x 1 )，(y 2 -y 1 )。
S5, taking the first position offset information as the second distortion correction parameter.
And aiming at each pixel point in the image, taking the first position offset information as a second distortion correction parameter, and adjusting the position of the first pixel point to realize distortion correction of the image. For example, for the first edge pixel point a, (x 2 -x 1 )，(y 2 -y 1 ) As the distortion correction parameter of a, the distortion correction is performed on the first edge pixel point a in the image, that is, the position of the first edge pixel point a is adjusted. The adjustment process of the other first pixel points is similar to that of the first edge pixel point a, and this embodiment is not repeated here.
In an exemplary embodiment of the present disclosure, referring to fig. 5, a HUD image distortion correcting method is provided, which may be used for a terminal device, and specifically may include:
s51, receiving image parameters sent by a vehicle machine, wherein the image parameters are generated when the vehicle machine controls the camera to shoot an image of the HUD displayed in front of a front windshield of a vehicle according to shooting position information, and the shooting position information is determined by the HUD according to seat position information and is sent to the vehicle machine;
S52, calculating a first distortion correction parameter according to the image parameter;
s53, transmitting a distortion correction instruction to the HUD through the vehicle machine, so that the HUD adopts a first distortion correction parameter to correct the image distortion, and the distortion correction instruction comprises the first distortion correction parameter.
In summary, according to the method provided by the disclosure, by receiving the image parameter sent by the vehicle-mounted device, the image parameter is generated when the vehicle-mounted device controls the camera to shoot the image of the HUD displayed in front of the front windshield of the vehicle according to the shooting position information, and the shooting position information is determined by the HUD according to the seat position information and is sent to the vehicle-mounted device; calculating a first distortion correction parameter according to the image parameter; and sending a distortion correction instruction to the HUD through the vehicle machine so that the HUD adopts a first distortion correction parameter to correct the image distortion, wherein the distortion correction instruction comprises the first distortion correction parameter. So can modulate distortion correction parameter according to seat position information, and then adopt distortion correction parameter to carry out distortion correction to the image, can reduce HUD image's distortion rate, improve the imaging quality in order to satisfy the driver demand, and then promote driving experience and feel.
Next, each step in the HUD distortion correcting method in the present exemplary embodiment will be described in more detail with reference to the drawings and examples.
In step S51, the image parameters transmitted from the vehicle is received.
In one exemplary embodiment of the present disclosure, the image parameter is generated when the vehicle controls the camera to capture an image of the HUD displayed in front of the front windshield of the vehicle according to capture position information, which is determined by the HUD according to seat position information of the driver and transmitted to the vehicle, the seat position information of the driver including a third distance between an eye point of the driver and the seat, a first height of the seat, and a fourth distance between the seat and the front windshield of the vehicle. The specific process of determining the shooting position information by the HUD according to the seat position information of the driver may refer to steps S211 to S216, and this embodiment will not be described herein.
In step S52, calculating a first distortion correction parameter from the image parameter includes:
s521, acquiring a third pixel value and third position information of each third pixel point of the image from the image parameter;
s522, fourth pixel values and fourth position information of fourth pixel points in a preset standard bitmap are obtained;
In one exemplary embodiment of the present disclosure, third pixel values of a third edge pixel and a third center pixel of the image are obtained from each third pixel of the image in the image parameter. The third edge pixel point is an edge pixel point in the third pixel point, and the third center pixel point is a center pixel point in the third pixel point.
Further, after obtaining third pixel values of the third edge pixel point and the third center pixel point, a lattice diagram of the image is drawn according to the third pixel values of the third edge pixel point and the third center pixel point. After a bitmap of the image is drawn, a coordinate system is established, and third position information of each third edge pixel point and each third center pixel point in the bitmap of the image under the coordinate system, namely third coordinate positions of each third edge pixel point and each third center pixel point, is obtained; and acquiring and presetting fourth position information of each fourth pixel point in the bitmap under the coordinate system, namely fourth coordinate positions of each fourth edge pixel point and a fourth center pixel point.
S523, determining fourth pixel points corresponding to the third pixel points respectively according to the third pixel values and the fourth pixel values;
In an exemplary embodiment of the present disclosure, for any one third edge pixel point, a fourth edge pixel point having a fourth pixel value identical to a third pixel value of the third edge pixel point is determined, and then, according to the fourth position information and the third position information, a fourth edge pixel point closest to the third edge pixel point is determined from fourth edge pixel points having a fourth pixel value identical to the third pixel value of the third edge pixel point, and then, the fourth edge pixel point closest to the third edge pixel point is taken as a fourth edge pixel point corresponding to the third edge pixel point.
For example, as shown in fig. 6, a fourth pixel having the same fourth pixel value as the third pixel value of the third edge pixel d includes a fourth pixel e and a fourth pixel f, and if the distance between d and e is smaller than the distance between d and f, the fourth pixel e is regarded as the fourth pixel corresponding to the third edge pixel d.
S524, calculating second position offset information of the third pixel point and a fourth pixel point corresponding to the third pixel point according to the third position information and the fourth position information;
for example, as shown in fig. 6, if the fourth edge pixel point corresponding to the third edge pixel point d is e, and the third position information of d is (x 3 ，y 3 ) The fourth position information of e is (x 4 ，y 4 ) The second position offset information of d and e is (x 4 -x 3 )，(y 4 -y 3 )。
And S525, taking the second position offset information as the first distortion correction parameter.
In an exemplary embodiment of the present disclosure, the above-mentioned taking the second position offset information as the first distortion correction parameter includes:
s5251, calculating the distortion rate of the image according to the second position offset information;
in an exemplary embodiment of the present disclosure, a first distance between each third edge pixel point in the third pixel points and a fourth edge pixel point corresponding to the third edge pixel point is calculated according to the second position offset information, where the third edge pixel point is an edge pixel point in the third pixel points, and the fourth edge pixel point is an edge pixel point in the fourth pixel points; calculating a second distance between the fourth edge pixel point and a fourth center pixel point, wherein the fourth center pixel point is a center pixel point in the fourth pixel points; acquiring a second ratio of the first distance to the second distance, and taking the second ratio as the distortion ratio of the third edge pixel point; and obtaining the maximum distortion rate of the third edge pixel point, and taking the maximum distortion rate as the distortion rate of the image.
For example, as shown in FIG. 6, the second position offset information of d and e is (x 4 -x 3 )，(y 4 -y 3 ) First distance of d and eIf the coordinate position of the fourth center pixel g is (x) 0 ，y 0 ) Second distance between e and g
Further, a first distance l is determined 1 And a second distance l 2 After that, calculate the first distance l 2 And a second distance l 2 And taking the second ratio as the distortion ratio of the third edge pixel point. After calculating the distortion rate of each third edge pixel point, determining the maximum distortion rate from the distortion rates, and taking the maximum distortion rate as the distortion rate of the image.
And S5252, if the distortion rate is greater than or equal to a preset threshold, taking the second position offset information as the first distortion correction parameter.
In an exemplary embodiment of the present disclosure, if the distortion rate of the image is greater than or equal to a preset threshold (e.g., 10%), the second position offset information is used as the first distortion correction parameter.
Based on the foregoing, in an exemplary embodiment of the disclosure, after calculating the first distortion correction parameter according to the image parameter, the method further includes:
s526, performing distortion correction on the image according to the second position offset information, generating a first correction bitmap, and displaying the first correction bitmap;
S527, responding to the distortion correction operation of a user for the first correction bitmap, and acquiring a second correction bitmap;
s528, acquiring third position offset information of each fifth pixel point and a fourth pixel point corresponding to the fifth pixel point in the second correction bitmap;
and S529, taking the third position offset information as the first distortion correction parameter, and sending the first distortion correction parameter to the HUD through a vehicle.
In an exemplary embodiment of the present disclosure, the terminal device may further perform distortion correction on the image according to the second position offset information, generate a first correction bitmap, and display the first correction bitmap. After the user views the first correction bitmap, if the distortion correction result is not satisfied, the distortion correction operation can be performed on the first correction bitmap on the terminal device so as to generate a second correction bitmap. Further, the terminal equipment responds to the distortion correction operation of the user for the first correction bitmap, and a second correction bitmap is obtained; acquiring third position offset information of each fifth pixel point and a fourth pixel point corresponding to the fifth pixel point in the second correction bitmap; and taking the third position offset information as the first distortion correction parameter, and sending the first distortion correction parameter to the HUD through a vehicle. The calculation process of the third position offset information is similar to that of the second position offset information, and this embodiment is not repeated here.
The method comprises the steps of displaying a first correction bitmap to a user, and responding to distortion correction operation of the user on the first correction bitmap to obtain a second correction bitmap; acquiring third position offset information of each fifth pixel point and a fourth pixel point corresponding to the fifth pixel point in the second correction bitmap; and the third position offset information is used as the first distortion correction parameter, so that the image can be distortion corrected according to the actual requirement of a user, and further the user experience is improved.
In an exemplary embodiment of the present disclosure, referring to fig. 7, for a HUD, in step 701, photographing position information of an image is determined according to seat position information of a driver, and the photographing position information is transmitted to a vehicle to cause the vehicle to control the camera to photograph an image displayed in front of a front windshield of a vehicle by the HUD according to the photographing position information; in step S702, receiving an image parameter sent by the vehicle, where the image parameter is an image parameter generated when the camera captures an image of the HUD before the front windshield of the vehicle; for the terminal device, in step S703, image parameters sent by the car machine are received; in step S704, calculating a first distortion correction parameter from the image parameter; in step S705, a distortion correction instruction is sent to the HUD through the vehicle, the distortion correction instruction including the first distortion correction parameter; for the HUD, in step S706, if the distortion correction instruction sent by the terminal device through the vehicle machine is received within the preset duration, the first distortion correction parameter is checked, and after the verification is passed, the image is distorted by adopting the first distortion correction parameter. In step S707, if the distortion correction instruction sent by the terminal device through the vehicle machine is not received within the preset duration, a second distortion correction parameter is calculated according to the image parameter, and the image is distorted by adopting the second distortion correction parameter.
To sum up, the method provided by the disclosure can modulate distortion correction parameters according to the seat position information of the driver, and further adopts the distortion correction parameters to correct the image in distortion, so that the distortion rate of the HUD image can be reduced, the imaging quality is improved to meet the requirements of the driver, and further the driving experience is improved.
It is noted that the above-described figures are only schematic illustrations of processes involved in a method according to an exemplary embodiment of the invention, and are not intended to be limiting. It will be readily appreciated that the processes shown in the above figures do not indicate or limit the temporal order of these processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, for example, among a plurality of modules.
Further, referring to fig. 8, in this exemplary embodiment, there is further provided a HUD distortion correcting device 80, which may be configured in a HUD, the device includes:
a shooting position information obtaining module 801, configured to determine shooting position information of an image according to seat position information, and send the shooting position information to a vehicle, so that the vehicle controls a camera to shoot an image of the HUD in front of a front windshield of a vehicle according to the shooting position information;
A distortion correction instruction receiving module 802, configured to receive a distortion correction instruction sent by a terminal device through the vehicle machine, where the distortion correction instruction includes a first distortion correction parameter, the distortion correction instruction is sent to the HUD through the vehicle machine after the terminal device calculates the first distortion correction parameter according to an image parameter, and the image parameter is generated and sent to the terminal device when the vehicle machine controls the camera to capture the image according to the capturing position information;
an image distortion correction module 803 is configured to execute the distortion correction instruction to correct distortion of the image using the first distortion correction parameter.
In one exemplary embodiment of the present disclosure, the image distortion correction module includes:
the distortion correction parameter verification unit is used for verifying the first distortion correction parameter;
and the distortion correction instruction execution unit is used for executing the distortion correction instruction if the first distortion correction parameter passes the verification, so as to correct the distortion of the image by adopting the first distortion correction parameter.
In one exemplary embodiment of the present disclosure, the apparatus includes:
And the distortion correction parameter calculation module is used for calculating a second distortion correction parameter according to the image parameter if the first distortion correction parameter is not checked, and carrying out distortion correction on the image by adopting the second distortion correction parameter.
In an exemplary embodiment of the present disclosure, the apparatus further comprises:
the image parameter receiving module is used for receiving the image parameters sent by the vehicle machine;
if the distortion correction instruction sent by the terminal equipment is not received within a preset time period, calculating the second distortion correction parameter according to the image parameter, and carrying out distortion correction on the image by adopting the second distortion correction parameter.
In an exemplary embodiment of the present disclosure, the image parameter receiving module includes:
a first pixel value obtaining unit, configured to obtain a first pixel value and first position information of each first pixel point of the image from the image parameter;
the second pixel value acquisition unit is used for acquiring a second pixel value and second position information of each second pixel point in the preset standard bitmap;
a second pixel point determining unit, configured to determine second pixel points corresponding to the first pixel points respectively according to the first pixel values and the second pixel values;
A position offset information calculation unit configured to calculate first position offset information of the first pixel point and a second pixel point corresponding to the first pixel point according to the first position information and the second position information;
and the second distortion correction parameter determining unit is used for taking the first position offset information as the second distortion correction parameter.
In an exemplary embodiment of the present disclosure, the photographing position information obtaining module includes:
a shooting position information acquisition module receiving unit, configured to receive the seat position information sent by the vehicle machine, where the seat position information includes a third distance between an eye point of a driver and a seat, a first height of the seat, and a fourth distance between the seat and a front windshield of a vehicle;
a second height calculating unit for calculating a first sum of the third distance and the first height, and taking the first sum as a second height of the driver's eye point;
a difference calculating unit for calculating a difference between the second height and the image height;
a second sum value calculation unit configured to calculate a second sum value of a fifth distance, which is a distance between the image and a front windshield of the vehicle, and the fourth distance;
The shooting angle determining unit is used for calculating a first ratio of the difference value to the second sum value and determining the shooting angle of the camera according to the first ratio;
and the shooting position information determining subunit is used for taking the second height as the shooting position of the camera and taking the shooting position and the shooting angle as the shooting position information.
Further, referring to fig. 9, in this exemplary embodiment, there is further provided a HUD distortion correcting apparatus 90, which may be configured in a terminal device, where the apparatus 90 includes:
the image parameter receiving module 901 is configured to receive an image parameter sent by a vehicle-mounted device, where the image parameter is generated when the vehicle-mounted device controls a camera to shoot an image of a HUD displayed in front of a front windshield of a vehicle according to shooting position information, and the shooting position information is determined by the HUD according to seat position information and sent to the vehicle-mounted device;
a distortion correction parameter calculation module 902, configured to calculate a first distortion correction parameter according to the image parameter;
the distortion correction instruction sending module 903 is configured to send a distortion correction instruction to the HUD through a vehicle machine, so that the HUD corrects the image by using the first distortion correction parameter, where the distortion correction instruction includes the first distortion correction parameter.
In an exemplary embodiment of the present disclosure, the distortion correction parameter calculation module includes:
a third pixel value obtaining unit, configured to obtain, from the image parameter, a third pixel value and third position information of each third pixel point of the image;
a fourth pixel value obtaining unit, configured to obtain a fourth pixel value and fourth position information of each fourth pixel point in the preset standard bitmap;
a fourth pixel point determining unit, configured to determine fourth pixel points corresponding to the third pixel points respectively according to the third pixel values and the fourth pixel values;
a position offset information determining unit, configured to calculate second position offset information of the third pixel point and a fourth pixel point corresponding to the third pixel point according to the third position information and the fourth position information;
and the first distortion correction parameter determining unit is used for taking the second position offset information as the first distortion correction parameter.
In an exemplary embodiment of the present disclosure, the first distortion correction parameter determining unit includes:
a distortion rate calculation unit for calculating a distortion rate of the image according to the second position offset information;
and if the distortion rate is greater than or equal to a preset threshold value, taking the second position offset information as the first distortion correction parameter.
In an exemplary embodiment of the present disclosure, the distortion rate calculation module includes:
calculating a first distance between each third edge pixel point in the third pixel points and a fourth edge pixel point corresponding to the third edge pixel points according to the second position offset information, wherein the third edge pixel points are edge pixel points in the third pixel points, and the fourth edge pixel points are edge pixel points in the fourth pixel points;
calculating a second distance between the fourth edge pixel point and a fourth center pixel point, wherein the fourth center pixel point is a center pixel point in the fourth pixel points;
acquiring a second ratio of the first distance to the second distance, and taking the second ratio as the distortion ratio of the first edge pixel point;
and obtaining the maximum distortion rate of the third edge pixel point, and taking the maximum distortion rate as the distortion rate of the image.
In an exemplary embodiment of the present disclosure, the apparatus further comprises:
a third positional deviation information determining module for:
performing distortion correction on the image according to the second position offset information, generating a first correction bitmap, and displaying the first correction bitmap;
Acquiring a second correction bitmap in response to an distortion correction operation for the first correction bitmap;
acquiring third position offset information of each fifth pixel point and a fourth pixel point corresponding to the fifth pixel point in the second correction bitmap;
and taking the third position offset information as the first distortion correction parameter, and sending the first distortion correction parameter to the HUD through the vehicle.
The details of each module in the HUD distortion correction apparatus 80 and the HUD distortion correction apparatus 90 are described in detail in the corresponding HUD distortion correction method, and thus will not be described herein.
It should be noted that while several modules or sub-modules of the data processing apparatus are mentioned in the detailed description above, such a division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more units/modules described above may be embodied in one unit/module in accordance with embodiments of the present invention. Conversely, the features and functions of one unit/module described above may be further divided into ones that are embodied by a plurality of units/modules.
Furthermore, although the operations of the methods of the present invention are depicted in the drawings in a particular order, this is not required to either imply that the operations must be performed in that particular order or that all of the illustrated operations be performed to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform.
While the spirit and principles of the present invention have been described with reference to several particular embodiments, it is to be understood that the invention is not limited to the disclosed embodiments nor does it imply that features of the various aspects are not useful in combination, nor are they useful in any combination, such as for convenience of description. The invention is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Claims (14)
1. A method for correcting distortion of a head-up display HUD, applied to the HUD, the method comprising:
determining shooting position information of an image according to seat position information, and sending the shooting position information to a vehicle machine so that the vehicle machine can control a camera to shoot the image displayed in front of a front windshield of a vehicle by the HUD according to the shooting position information;
receiving a distortion correction instruction sent by a terminal device through the vehicle machine, wherein the distortion correction instruction comprises a first distortion correction parameter, the distortion correction instruction is sent to the HUD through the vehicle machine after the terminal device calculates the first distortion correction parameter according to an image parameter, and the image parameter is generated and sent to the terminal device when the vehicle machine controls the camera to shoot the image according to the shooting position information;
Executing the distortion correction instruction to correct the distortion of the image by adopting the first distortion correction parameter;
wherein determining the shooting position information of the image according to the seat position information includes:
receiving the seat position information sent by the vehicle machine, wherein the seat position information comprises a third distance between an eye point of a driver and a seat, a first height of the seat and a fourth distance between the seat and a front windshield of a vehicle;
determining a second height according to the third distance and the first height, wherein the second height is the shooting position of the camera;
determining a shooting angle of a camera according to a difference value between the second height and the image height and a second sum value of the fifth distance and the fourth distance, and taking the shooting position and the shooting angle as shooting position information; the fifth distance is the distance between the image and the front windshield of the vehicle.
2. The method of claim 1, wherein the executing the distortion correction instruction comprises:
verifying the first distortion correction parameter;
and if the first distortion correction parameter passes the verification, executing the distortion correction instruction to correct the distortion of the image by adopting the first distortion correction parameter.
3. The method according to claim 2, characterized in that the method comprises:
if the first distortion correction parameter is not checked, calculating a second distortion correction parameter according to the image parameter, and correcting the image distortion by adopting the second distortion correction parameter.
4. The method according to claim 1, wherein before the receiving the distortion correction instruction sent by the terminal device through the vehicle, the method further comprises:
receiving the image parameters sent by the vehicle machine;
if the distortion correction instruction sent by the terminal equipment is not received within a preset time period, calculating a second distortion correction parameter according to the image parameter, and carrying out distortion correction on the image by adopting the second distortion correction parameter.
5. The method of claim 4, wherein said calculating said second distortion correction parameter from said image parameter comprises:
acquiring a first pixel value and first position information of each first pixel point of the image from the image parameter;
acquiring a second pixel value and second position information of each second pixel point in a preset standard bitmap;
Determining second pixel points corresponding to the first pixel points respectively according to the first pixel values and the second pixel values;
calculating first position offset information of the first pixel point and a second pixel point corresponding to the first pixel point according to the first position information and the second position information;
and taking the first position offset information as the second distortion correction parameter.
6. The method of claim 1, wherein determining the photographing position information of the image according to the seat position information comprises:
calculating a first sum of the third distance and the first height, and taking the first sum as a second height of the driver's eye point;
calculating a difference between the second height and the image height;
calculating a second sum of a fifth distance and the fourth distance, wherein the fifth distance is the distance between the image and a front windshield of the vehicle;
calculating a first ratio of the difference value to the second sum value, and determining a shooting angle of the camera according to the first ratio;
and taking the second height as a shooting position of the camera.
7. A HUD distortion correcting method, applied to a terminal device, the method comprising:
Receiving image parameters sent by a vehicle-mounted device, wherein the image parameters are generated when the vehicle-mounted device controls a camera to shoot an image displayed in front of a front windshield of a vehicle according to shooting position information, and the shooting position information is determined by the HUD according to seat position information and is sent to the vehicle-mounted device;
calculating a first distortion correction parameter according to the image parameter;
transmitting a distortion correction instruction to the HUD through a vehicle machine so that the HUD can correct the image distortion by adopting the first distortion correction parameters, wherein the distortion correction instruction comprises the first distortion correction parameters;
wherein the shooting position information is determined by:
receiving the seat position information sent by the vehicle machine, wherein the seat position information comprises a third distance between an eye point of a driver and a seat, a first height of the seat and a fourth distance between the seat and a front windshield of a vehicle;
determining a second height according to the third distance and the first height, wherein the second height is the shooting position of the camera;
determining a shooting angle of a camera according to a difference value between the second height and the image height and a second sum value of the fifth distance and the fourth distance, and taking the shooting position and the shooting angle as shooting position information; the fifth distance is the distance between the image and the front windshield of the vehicle.
8. The method of claim 7, wherein said calculating a first distortion correction parameter from said image parameter comprises:
acquiring a third pixel value and third position information of each third pixel point of the image from the image parameter;
acquiring a fourth pixel value and fourth position information of each fourth pixel point in a preset standard bitmap;
determining fourth pixel points corresponding to the third pixel points respectively according to the third pixel values and the fourth pixel values;
calculating second position offset information of the third pixel point and a fourth pixel point corresponding to the third pixel point according to the third position information and the fourth position information;
and taking the second position offset information as the first distortion correction parameter.
9. The method of claim 8, wherein said taking said second position offset information as said first distortion correction parameter comprises:
calculating the distortion rate of the image according to the second position offset information;
and if the distortion rate is greater than or equal to a preset threshold value, taking the second position offset information as the first distortion correction parameter.
10. The method of claim 9, wherein calculating the distortion rate of the image from the second position offset information comprises:
Calculating a first distance between each third edge pixel point in the third pixel points and a fourth edge pixel point corresponding to the third edge pixel points according to the second position offset information, wherein the third edge pixel points are edge pixel points in the third pixel points, and the fourth edge pixel points are edge pixel points in the fourth pixel points;
calculating a second distance between the fourth edge pixel point and a fourth center pixel point, wherein the fourth center pixel point is a center pixel point in the fourth pixel points;
acquiring a second ratio of the first distance to the second distance, and taking the second ratio as the distortion ratio of the third edge pixel point;
and obtaining the maximum distortion rate of the third edge pixel point, and taking the maximum distortion rate as the distortion rate of the image.
11. The method of claim 8, wherein after calculating the first distortion correction parameter from the image parameter, the method further comprises:
performing distortion correction on the image according to the second position offset information, generating a first correction bitmap, and displaying the first correction bitmap;
acquiring a second correction bitmap in response to an distortion correction operation for the first correction bitmap;
Acquiring third position offset information of each fifth pixel point and a fourth pixel point corresponding to the fifth pixel point in the second correction bitmap;
and taking the third position offset information as the first distortion correction parameter, and sending the first distortion correction parameter to the HUD through the vehicle.
12. A HUD distortion correction apparatus, applied to a HUD, the apparatus comprising:
the shooting position information acquisition module is used for determining shooting position information of an image according to seat position information and sending the shooting position information to the vehicle machine so that the vehicle machine can control a camera to shoot the image of the HUD displayed in front of a front windshield of a vehicle according to the shooting position information;
the distortion correction instruction receiving module is used for receiving a distortion correction instruction sent by the terminal equipment through the vehicle machine, wherein the distortion correction instruction comprises a first distortion correction parameter, the distortion correction instruction is sent to the HUD through the vehicle machine after the terminal equipment calculates the first distortion correction parameter according to an image parameter, and the image parameter is generated and sent to the terminal equipment when the vehicle machine controls the camera to shoot the image according to the shooting position information;
The image distortion correction module is used for executing the distortion correction instruction to correct the image distortion by adopting the first distortion correction parameter;
wherein determining the shooting position information of the image according to the seat position information includes:
receiving the seat position information sent by the vehicle machine, wherein the seat position information comprises a third distance between an eye point of a driver and a seat, a first height of the seat and a fourth distance between the seat and a front windshield of a vehicle;
determining a second height according to the third distance and the first height, wherein the second height is the shooting position of the camera;
determining a shooting angle of a camera according to a difference value between the second height and the image height and a second sum value of the fifth distance and the fourth distance, and taking the shooting position and the shooting angle as shooting position information; the fifth distance is the distance between the image and the front windshield of the vehicle.
13. A HUD distortion correcting apparatus, applied to a terminal device, the apparatus comprising:
the image parameter receiving module is used for receiving image parameters sent by the vehicle machine, wherein the image parameters are generated when the vehicle machine controls the camera to shoot an image of the HUD displayed in front of the front windshield of the vehicle according to shooting position information, and the shooting position information is determined by the HUD according to seat position information and is sent to the vehicle machine;
The distortion correction parameter calculation module is used for calculating a first distortion correction parameter according to the image parameter;
the distortion correction instruction sending module is used for sending a distortion correction instruction to the HUD through a vehicle machine so that the HUD can correct the distortion of the image by adopting the first distortion correction parameters, and the distortion correction instruction comprises the first distortion correction parameters;
wherein the shooting position information is determined by:
receiving the seat position information sent by the vehicle machine, wherein the seat position information comprises a third distance between an eye point of a driver and a seat, a first height of the seat and a fourth distance between the seat and a front windshield of a vehicle;
determining a second height according to the third distance and the first height, wherein the second height is the shooting position of the camera;
determining a shooting angle of a camera according to a difference value between the second height and the image height and a second sum value of the fifth distance and the fourth distance, and taking the shooting position and the shooting angle as shooting position information; the fifth distance is the distance between the image and the front windshield of the vehicle.
14. A HUD distortion correction system comprising:
Camera, car machine, terminal equipment and HUD; the vehicle-mounted device is connected with the camera, the terminal equipment and the HUD respectively;
the HUD is used for determining shooting position information of an image according to seat position information and sending the shooting position information to the vehicle machine;
the vehicle machine is used for controlling the camera to shoot an image of the HUD displayed in front of a front windshield of a vehicle according to the shooting position information, and generating image parameters;
the HUD is further used for receiving image parameters sent by the vehicle machine, and carrying out distortion correction on the image by adopting a first distortion correction parameter when receiving a distortion correction instruction sent by the terminal equipment within a preset time, wherein the distortion correction instruction comprises the first distortion correction parameter;
if a distortion correction instruction sent by the terminal equipment through the vehicle machine is not received within a preset time period, calculating a second distortion correction parameter according to the image parameter, and carrying out distortion correction on the image by adopting the second distortion correction parameter, wherein the image parameter is generated when the camera shoots an image of the HUD displayed in front of a front windshield of the vehicle;
Wherein determining the shooting position information of the image according to the seat position information includes:
receiving the seat position information sent by the vehicle machine, wherein the seat position information comprises a third distance between an eye point of a driver and a seat, a first height of the seat and a fourth distance between the seat and a front windshield of a vehicle;
determining a second height according to the third distance and the first height, wherein the second height is the shooting position of the camera;
determining a shooting angle of a camera according to a difference value between the second height and the image height and a second sum value of the fifth distance and the fourth distance, and taking the shooting position and the shooting angle as shooting position information; the fifth distance is the distance between the image and the front windshield of the vehicle.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211700988.3A CN116017174B (en) | 2022-12-28 | 2022-12-28 | HUD distortion correction method, device and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211700988.3A CN116017174B (en) | 2022-12-28 | 2022-12-28 | HUD distortion correction method, device and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116017174A CN116017174A (en) | 2023-04-25 |
| CN116017174B true CN116017174B (en) | 2024-02-06 |
Family
ID=86020433
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211700988.3A Active CN116017174B (en) | 2022-12-28 | 2022-12-28 | HUD distortion correction method, device and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116017174B (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106458059A (en) * | 2014-04-25 | 2017-02-22 | 三菱电机株式会社 | Automatic adjustment device, automatic adjustment system, and automatic adjustment method |
| CN107527324A (en) * | 2017-07-13 | 2017-12-29 | 江苏泽景汽车电子股份有限公司 | A kind of pattern distortion antidote of HUD |
| CN108171673A (en) * | 2018-01-12 | 2018-06-15 | 京东方科技集团股份有限公司 | Image processing method, device, vehicle-mounted head-up-display system and vehicle |
| CN110001400A (en) * | 2017-12-06 | 2019-07-12 | 矢崎总业株式会社 | Display apparatus |
| CN111476104A (en) * | 2020-03-17 | 2020-07-31 | 重庆邮电大学 | AR-HUD image distortion correction method, device and system under dynamic eye position |
| CN112150367A (en) * | 2019-06-26 | 2020-12-29 | 比亚迪股份有限公司 | Display control method and device of vehicle-mounted head-up display device and vehicle |
| CN112584114A (en) * | 2020-12-04 | 2021-03-30 | 浙江水晶光电科技股份有限公司 | Head-up display and image correction method thereof |
| CN114415826A (en) * | 2020-05-15 | 2022-04-29 | 华为技术有限公司 | Data processing method and equipment thereof |
| CN115270290A (en) * | 2022-07-04 | 2022-11-01 | 蔚来汽车科技(安徽)有限公司 | Method, apparatus, system, and storage medium for implementing HUD platformization |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR102518661B1 (en) * | 2018-10-16 | 2023-04-06 | 현대자동차주식회사 | Method for correction image distortion of hud system |
-
2022
- 2022-12-28 CN CN202211700988.3A patent/CN116017174B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106458059A (en) * | 2014-04-25 | 2017-02-22 | 三菱电机株式会社 | Automatic adjustment device, automatic adjustment system, and automatic adjustment method |
| CN107527324A (en) * | 2017-07-13 | 2017-12-29 | 江苏泽景汽车电子股份有限公司 | A kind of pattern distortion antidote of HUD |
| CN110001400A (en) * | 2017-12-06 | 2019-07-12 | 矢崎总业株式会社 | Display apparatus |
| CN108171673A (en) * | 2018-01-12 | 2018-06-15 | 京东方科技集团股份有限公司 | Image processing method, device, vehicle-mounted head-up-display system and vehicle |
| CN112150367A (en) * | 2019-06-26 | 2020-12-29 | 比亚迪股份有限公司 | Display control method and device of vehicle-mounted head-up display device and vehicle |
| CN111476104A (en) * | 2020-03-17 | 2020-07-31 | 重庆邮电大学 | AR-HUD image distortion correction method, device and system under dynamic eye position |
| CN114415826A (en) * | 2020-05-15 | 2022-04-29 | 华为技术有限公司 | Data processing method and equipment thereof |
| CN112584114A (en) * | 2020-12-04 | 2021-03-30 | 浙江水晶光电科技股份有限公司 | Head-up display and image correction method thereof |
| CN115270290A (en) * | 2022-07-04 | 2022-11-01 | 蔚来汽车科技(安徽)有限公司 | Method, apparatus, system, and storage medium for implementing HUD platformization |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116017174A (en) | 2023-04-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108352057B (en) | Vehicle camera system with multi-camera alignment | |
| CN108243332B (en) | Image adjusting method of vehicle-mounted head-up display system and vehicle-mounted head-up display system | |
| CN108052910A (en) | A kind of automatic adjusting method, device and the storage medium of vehicle panoramic imaging system | |
| JP5011049B2 (en) | Image processing system | |
| CN109941277A (en) | The method, apparatus and vehicle of display automobile pillar A blind image | |
| EP4141621A1 (en) | Data processing method and device thereof | |
| CN114007054B (en) | Method and device for correcting projection of vehicle-mounted screen picture | |
| JP5173552B2 (en) | Vehicle perimeter monitoring apparatus and distortion correction value setting correction method applied thereto | |
| CN111667414A (en) | Image distortion correction method and computer-readable storage medium | |
| CN116017174B (en) | HUD distortion correction method, device and system | |
| US10733711B2 (en) | Image correction method and device | |
| CN114757833A (en) | Vehicle side image splicing method and system | |
| JP4867709B2 (en) | Display distortion measuring apparatus and display distortion measuring method | |
| CN112184827A (en) | Method and apparatus for calibrating multiple cameras | |
| CN113379832B (en) | Camera pose adjusting method and device, electronic equipment and storage medium | |
| CN112164377B (en) | Self-adaption method for HUD image correction | |
| CN113191197B (en) | Image restoration method and device | |
| KR20170051965A (en) | Method for adjusting vewing angle of camera and displaying distance in image | |
| US11854169B2 (en) | Image correction device, image generation device, camera system, and vehicle | |
| JP2018113622A (en) | Image processing apparatus, image processing system, and image processing method | |
| US20080133091A1 (en) | Apparatus and method for adjusting position of side mirror camera for vehicle | |
| KR20180052415A (en) | Method for compensating camera tolerance based on a camera image of a vehicle | |
| JP2020088601A (en) | Calibration device | |
| KR102250289B1 (en) | Apparatus and Method for Compensating of Image Data Obtained by Stereo Camera | |
| CN116301366A (en) | Air projection control method and system based on eyeball tracking |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |