Augmented Reality Device Field Recalibration Using Ground Truth Maps
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Solution Overview
Problem
Existing AR glasses recalibration methods, such as factory recalibration and user-guided calibration with printed targets, are inconvenient, costly, and prone to inaccuracies due to environmental factors and user interaction, while online optimization systems are computationally expensive and unreliable.
Innovation Solution
A field-based recalibration technique that utilizes a ground truth map generated during factory calibration, allowing the AR glasses to detect calibration degradation by comparing real-world environment maps with stored ground truth maps, and guides users through an optimal trajectory for recalibration using visual cues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If factory recalibration is performed, then calibration accuracy is improved, but device accessibility and user convenience deteriorate due to cost and complexity
Solution Approach 1:
The system enables users to perform recalibration themselves through automated visual cues and trajectory guidance displayed on the AR device. The device autonomously guides the user through the recalibration process by displaying visual markers and providing real-time feedback, eliminating the need for factory intervention while maintaining high calibration accuracy.
Solution Approach 2:
The patent replaces traditional mechanical calibration methods (physical adjustment of components) with computational methods. The system uses image processing, computer vision, and algorithmic optimization to automatically determine and adjust calibration parameters based on visual data captured during the guided trajectory traversal.
2Ease of operation
If printed calibration targets are used, then recalibration can be performed, but measurement precision deteriorates due to environmental factors and user interaction
Solution Approach 1:
Instead of using physical printed targets that are susceptible to environmental degradation, the system creates a virtual digital copy of the calibration target that is displayed through the AR device's own display system. This digital target is projected into the user's field of view and captured by the device's camera, ensuring consistent, high-precision visual features不受 environmental factors like paper quality, lighting, or handling.
Solution Approach 2:
The AR device's display system serves multiple functions: it displays the calibration target, provides trajectory guidance, shows visual cues for the user, and presents feedback during the recalibration process. This multi-functional approach eliminates the need for separate physical calibration materials while maintaining precision.
3Measurement precision
If online optimization systems are used, then recalibration can be performed, but device complexity and computational cost increase
Solution Approach 1:
The system performs preliminary actions by pre-defining the optimal trajectory and calibration target positions during device manufacturing or initial setup. These pre-computed trajectories and target configurations are stored in the device, allowing the recalibration process to execute efficiently without requiring complex real-time optimization calculations, thus reducing computational burden while maintaining accuracy.
Solution Approach 2:
The system implements a feedback mechanism where the AR device captures images of the displayed calibration target, processes the visual data to detect positional deviations, and uses this feedback to automatically adjust calibration parameters. This closed-loop feedback system achieves high precision through iterative refinement rather than complex open-loop optimization, simplifying the overall system architecture.
Data Source
AI summary
A method for recalibrating an augmented reality (AR) device includes generating and storing a ground truth map of a real-world environment when the AR device is operating with a high likelihood of having an accurate factory calibration. During operation of the AR device, new map data is generated for the real-world environment. The new map data is compared to the ground truth map to detect potential calibration errors. If calibration errors are detected, a recalibration procedure is executed by determining an optimal path through the real-world environment that allows for observing parameters requiring recalibration. Visual cues are generated to guide a user of the AR device through the optimal path. As the user follows the visual cues, calibration parameters are iteratively adjusted to eliminate detected calibration errors. The recalibration procedure may be presented as an interactive game to improve user engagement, with rewards provided for accurately following guidance.