ADAS Projector Calibration via 6-DOF Spatial Transformation
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Solution Overview
Problem
Existing vehicle service systems face challenges in precisely calibrating the orientation of optical projectors to ensure accurate placement of specialized structures during ADAS sensor inspection or calibration, due to inherent variables in motorized gimbals and turrets, leading to misalignment of projected indicia with intended locations.
Innovation Solution
A method for calibrating optical projectors in a vehicle service system involves using calibration fixtures and cameras to determine spatial relationships, establishing 6-DOF transformations, and adjusting projector orientations to align projected indicia with reference points within acceptable tolerances, utilizing multiple calibration fixtures and image processing algorithms to refine the calibration process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If motorized gimbals and turrets are used to adjust projector orientation, then the system can automatically position projected indicia, but inherent variables in these mechanisms cause misalignment with intended locations
Solution Approach 1:
The system uses cameras to capture images of calibration targets at known locations, processes these images to determine actual projector positions, and generates calibration data that compensates for deviations. This closed-loop feedback mechanism corrects the inherent variables in motorized gimbals and turrets, ensuring precise alignment of projected indicia with intended locations.
Solution Approach 2:
The calibration process involves adjusting and recording the actual positional parameters of the projector across its range of motion. By measuring and storing calibration data that characterizes the specific behavior of the motorized mechanisms, the system compensates for their inherent variables through parameter transformation and correction.
2Measurement precision
If multiple calibration fixtures are used to cover a range of movement, then calibration accuracy across the full range is improved, but the complexity of the calibration process increases
Solution Approach 1:
The calibration space is divided into multiple discrete calibration fixtures positioned at different known locations. Each fixture provides calibration reference points for a specific region of the projector's range of motion. This segmentation allows comprehensive coverage of the full movement range while maintaining manageable calibration procedures for each individual fixture.
Solution Approach 2:
The calibration system uses a unified coordinate system and calibration methodology that works across all fixtures. The same camera system, image processing algorithms, and calibration software handle all fixtures, making the process scalable. Each fixture serves multiple purposes: establishing spatial reference, validating projector positioning, and generating calibration data for its specific region.
Data Source
AI summary
A method and apparatus for calibrating a projection axis orientation for an optical projector associated with a vehicle inspection or service system so as to enable projection of indicia onto selected spatial locations within a vehicle service area. Projector axis orientations required for the projection of visible indicia onto reference targets disposed at determinable locations within a common coordinate system of the vehicle service area are utilized to establish a relationship utilized to mathematically transform between selected spatial coordinate locations for projected indicia and corresponding orientations of the projection axis, facilitating projection of the visible indicia to additional spatial coordinate locations within the common coordinate system.