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Distortion correction method for calculating virtual image plane based on AR-HUD (Auto Register-Head Up Display) dynamic eye position

A distortion correction and virtual image technology, applied in the field of distortion correction based on AR-HUD dynamic eye position calculation of virtual image plane, can solve problems such as HUD projection image distortion, etc., to improve the imaging effect and avoid the jump of the imaging pattern. changing effect

Pending Publication Date: 2021-08-10
重庆利龙科技产业(集团)有限公司
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AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiency that the prior art cannot solve the distortion of the HUD projection image well, and provide a distortion correction method based on calculating the virtual image plane under the AR-HUD dynamic eye position

Method used

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  • Distortion correction method for calculating virtual image plane based on AR-HUD (Auto Register-Head Up Display) dynamic eye position
  • Distortion correction method for calculating virtual image plane based on AR-HUD (Auto Register-Head Up Display) dynamic eye position
  • Distortion correction method for calculating virtual image plane based on AR-HUD (Auto Register-Head Up Display) dynamic eye position

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Embodiment 1

[0050] Such as figure 1 As shown, this embodiment provides a distortion correction method based on calculating the virtual image plane under the AR-HUD dynamic eye position, which specifically includes the following steps:

[0051] S1, positioning the car body, and calibrating the human eye simulation equipment of the current position;

[0052] The vehicle body itself is positioned by the calibration auxiliary equipment, and the human eye simulation equipment is calibrated by using the calibration board using Zhang Zhengyou's calibration method. Such as figure 2 As shown, the calibration board is a chess board pattern calibration board, and the human eye simulation device is a camera, which can be a monocular camera or a binocular camera; if it is a binocular camera, it is mostly based on the average distance between the eyes in China. Values, using a binocular camera with a distance of 61mm between the left and right cameras. The parameters for the calibration of human ey...

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Abstract

The invention discloses a distortion correction method for calculating a virtual image plane based on an AR-HUD (Auto Register-Head Up Display) dynamic eye position. The distortion correction method comprises the following steps: S1, positioning a vehicle body, and calibrating human eye simulation equipment; S2, capturing a projection virtual image; preprocessing the projection virtual image to obtain pixel coordinates of feature points of the projection virtual image; establishing a mapping relationship between image feature points of the projection virtual image and corresponding points of the output image; S3, setting a virtual image curved surface perspective equivalent plane, and obtaining coordinates of observation equivalent points of the feature points on the virtual image curved surface perspective equivalent plane; setting a virtual projection screen according to the set of the observation equivalent points; S4, calculating a mapping relationship between each pixel point of the virtual projection screen and a corresponding pixel point of the output image; S5, calibrating a mapping relationship between each pixel point of the virtual projection screen at different positions and different display picture heights and a corresponding pixel point of the output image to obtain a calibration mapping table; and S6, predistorting the output image according to the mapping table.

Description

technical field [0001] The invention relates to the field of automobile instrument display, in particular to a distortion correction method for calculating a virtual image plane based on an AR-HUD dynamic eye position. Background technique [0002] The driver's line of sight shifts from the front to the instrument panel, and it takes about 4 to 7 seconds to return to the front view after obtaining the instrument information. During this period of time, the driver is in the driving blind spot, and there is a huge potential safety hazard. Augmented reality head-up display (AR-HUD) uses augmented reality technology to reasonably superimpose and display information such as vehicle speed, navigation, driving assistance system status, and surrounding environmental conditions in the driver's field of vision, providing the driver with a more intuitive and realistic experience. information, enhance the driver's environmental awareness, reduce the time for the driver to switch betwee...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T7/13G06T7/70G06T17/20
CPCG06T7/13G06T7/70G06T17/20G06T5/80
Inventor 周中奎李银国罗啟飞王强李科
Owner 重庆利龙科技产业(集团)有限公司
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