Vehicle Lamp Image Alignment for Split Road Projection
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Solution Overview
Problem
Existing vehicle lighting systems face issues with image distortion or gaps when projecting images using left and right headlamps, impairing visibility and aesthetics.
Innovation Solution
A vehicle lamp system that includes a control unit to divide an image into two parts and adjust the angles or coordinates of left and right lamps to align projection images on the road surface without distortion, using grid images for alignment and potentially adjusting lamp positions or image coordinates to correct misalignments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If an image is divided and projected by left and right headlamps, then the coverage area is improved, but image alignment and distortion are worsened
Solution Approach 1:
The system captures images of the projected grid patterns using a camera, detects the positions of grid points, and calculates deviation values. Based on this feedback, the control unit adjusts the projection coordinates to correct alignment errors and eliminate gaps or overlaps between left and right headlamp projections.
Solution Approach 2:
The system dynamically adjusts projection parameters including coordinates, angles, and positions of the headlamps based on detected grid point deviations. By changing these parameters in real-time, the system compensates for installation misalignments and road surface variations to achieve precise image matching.
2Ease of manufacture
If headlamp alignment is not precisely adjusted, then installation complexity is reduced, but projection image quality is worsened
Solution Approach 1:
The system performs self-alignment by automatically detecting grid point positions, calculating deviations, and adjusting projection parameters without requiring manual alignment adjustments. This enables the system to compensate for installation errors automatically, maintaining high image quality while simplifying the installation process.
3Manufacturing precision
If grid images are used for alignment adjustment, then image alignment precision is improved, but device complexity is worsened
Solution Approach 1:
The system introduces grid images as an intermediary alignment tool. These grid patterns serve as reference markers that facilitate precise measurement and adjustment of projection alignment, enabling accurate image matching while maintaining relatively simple system architecture.
Data Source
AI summary
The present invention relates to a vehicle lamp system for matching two images projected on a road surface in a case where one image is output in a divided manner by a left lamp and a right lamp in image projection on the road surface by vehicle lamps.