AR Head-Up Display Calibration for Head Position Misalignment
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Solution Overview
Problem
Augmented-reality head-up displays (AR HUDs) in vehicles often experience misalignment between projected graphical images and real objects viewed through a semi-transparent windshield, due to discrepancies between measured and actual head positions, affecting the operator's driving experience.
Innovation Solution
A calibration process using first and second calibration symbols displayed at virtual image planes, allowing operators to adjust and store settings for accurate alignment of graphical images with real objects, utilizing eye-tracking or head-tracking algorithms and facial recognition techniques to adjust the projection angle and position.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If eye-tracking or head-tracking algorithms are used to measure operator position, then the AR HUD can dynamically adjust graphical image positioning, but misalignment occurs between measured and actual head positions due to individual anatomical variations
Solution Approach 1:
The system performs preliminary calibration by displaying calibration symbols at predetermined positions and angles before normal operation. The operator adjusts these symbols to match real-world positions, pre-compensating for individual anatomical variations. This preliminary calibration data is stored and used to correct subsequent head position measurements, eliminating misalignment issues without requiring complex real-time measurement systems.
2Measurement precision
If calibration symbols are displayed at predetermined positions and angles, then graphical images can be aligned with real objects, but the system requires additional calibration steps and time
Solution Approach 1:
The system uses simplified calibration symbols (crosshairs or target markers) that replicate key positional information from the real world. These symbolic representations allow the operator to quickly match virtual positions with actual physical positions without complex procedures. The calibration process copies essential alignment data rather than requiring full system reconfiguration, reducing calibration time while maintaining accuracy.
Solution Approach 2:
The patent replaces complex mechanical measurement systems with software-based eye-tracking and head-tracking algorithms. Instead of using physical sensors and mechanical adjustment mechanisms, the system uses computational methods to detect head position and adjust graphical image positioning softwareually. This substitution reduces physical complexity and enables faster, more flexible calibration procedures.
3Device complexity
If the measured head position is used directly for graphical image projection, then the system operates without additional calibration hardware, but misalignment occurs due to discrepancies between measured and actual positions
Solution Approach 1:
The patent introduces calibration data as an intermediary between the measured head position and the final graphical image projection. Rather than using raw measurement data directly, the system applies calibration corrections derived from the symbolic alignment process. This intermediary calibration layer mediates between the simple measurement system and the accurate visual output, eliminating misalignment without adding complex hardware.
Data Source
AI summary
A computer includes a processor and memory, the memory can store instructions executable by the processor to display a first calibration symbol to appear at a first location of a virtual image plane viewable from a measured location of the eyes or head of an operator and display a second calibration symbol to appear at a second location of the virtual image plane according to an offset distance from the first location. The instructions additionally can additionally be to adjust the offset distance in response to adjusting the second location by receiving input from the operator to align the first calibration symbol with the second calibration symbol.