Automated Head-Up Display Correction via External Camera Imaging
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Solution Overview
Problem
The existing manual inspection process for head-up displays (HUDs) in vehicles is inefficient, leading to increased correction cycle times and reduced work efficiency due to the difficulty in managing HUD unit quality, particularly caused by variations in windshield anti-reflective coatings and assembly variations.
Innovation Solution
An automated HUD correction method and system that projects a head-up display image onto a vehicle windshield, uses an external camera to photograph the image, and an image processing unit to generate a correction signal, which is then used by a HUD controller to correct the image, thereby reducing manual intervention and improving efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual inspection is used to check HUD display quality, then inspection can be performed, but inspection cycle time increases and work efficiency deteriorates
Solution Approach 1:
The patent replaces the manual mechanical inspection process with an automated optical inspection system. A camera captures images of the HUD display on the windshield, and an image processing unit automatically analyzes the captured images to detect display quality issues, thereby eliminating the need for manual inspection and significantly reducing inspection cycle time
Solution Approach 2:
The patent creates a visual copy of the HUD display by capturing an image of the windshield with the projected display using a camera. This copied image is then processed and analyzed to assess display quality, allowing for automated inspection without direct manual observation and measurement
2Reliability
If manual inspection is used to check HUD display quality, then inspection can be performed, but it is difficult for inspectors to manage HUD unit quality
Solution Approach 1:
The patent implements an automated feedback system where the image processing unit analyzes captured HUD display images and generates quality assessment results. This automated feedback mechanism provides objective, consistent quality measurements that are easy to track and manage, replacing the complex subjective judgment required in manual inspection
Solution Approach 2:
The patent replaces manual quality management processes with automated image processing and analysis systems. The computer-based system objectively measures display quality parameters and generates manageable data, eliminating the difficulties associated with manual quality assessment and management
3Ease of repair
If manual correction is used to adjust HUD display, then correction can be performed, but precision deteriorates due to manual operation limitations
Solution Approach 1:
The patent replaces manual correction operations with automated image processing and analysis. The system uses computer algorithms to precisely measure display parameters and generate correction data, eliminating the precision limitations of manual operations while maintaining ease of implementation
Solution Approach 2:
The patent creates a digital copy of the HUD display through camera imaging, allowing for precise digital measurement and analysis of display parameters. This copied representation enables accurate correction calculations without the precision losses inherent in manual measurement and adjustment
4Productivity
If automated correction system is implemented, then correction efficiency improves, but device complexity increases
Solution Approach 1:
The patent implements a multi-functional automated correction system where a single integrated system performs multiple tasks: image capture, image processing, quality analysis, and correction calculation. This universal system handles the entire correction workflow, improving efficiency while managing complexity through functional integration rather than separate components
Solution Approach 2:
The patent uses digital image copying and processing to enable automated correction. By creating a digital representation of the HUD display through camera imaging, the system enables automated analysis and correction without requiring complex physical measurement devices, thereby improving efficiency while keeping the added complexity manageable
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution enables efficient correction of HUD screens by reducing inspection and correction times, preventing precision deterioration associated with manual operations, and enhancing overall operation efficiency.
Implementation Method 1
The HUD unit displays images of various items of information on the windshield by reflecting and enlarging the images with a projector and an optical unit
Data Source
AI summary
A head-up display (HUD) automatic correction method includes: projecting, by a HUD device, a head-up display image onto a windshield of a vehicle; photographing, by a camera disposed outside of the vehicle, the head-up display image; generating, by an image processing unit, a correction signal by analyzing the head-up display image photographed by the camera; and controlling, by a HUD controller, the HUD device to correct the head-up display image using the correction signal.