Resilient Interdependent Spatial Alignment for AR Drift Correction
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Solution Overview
Problem
Augmented reality applications face challenges in maintaining accurate spatial alignment between digital models and physical environments, particularly in dynamic locations like construction sites where changes occur frequently, leading to drift and inaccuracies in anchor points.
Innovation Solution
The implementation of a resilient interdependent spatial alignment process (RISA) that dynamically adjusts and refines the alignment of two coordinate systems using a network of subsidiary association points (SAPs) and authoritative points, enabling continuous alignment and adaptation to changes in the physical environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional SLAM and spatial anchors are used to align digital models with physical environments, then initial spatial alignment can be achieved, but alignment accuracy deteriorates over time in dynamic locations due to drift and environmental changes
Solution Approach 1:
The patent divides the alignment system into multiple independent components: a lead coordinate system with authoritative association points and a follow coordinate system with subsidiary association points. This segmentation allows each system to function semi-independently, with the lead system providing stable references and the follow system adapting to local changes, thereby maintaining alignment accuracy in dynamic environments.
Solution Approach 2:
The patent implements continuous feedback mechanisms where the follow coordinate system monitors its alignment status relative to the lead coordinate system and automatically adjusts subsidiary association points based on detected drift or changes. This closed-loop feedback enables real-time correction of alignment errors, ensuring persistent accuracy despite environmental dynamics.
2Device complexity
If a single coordinate system is used for both lead and follow spaces, then system complexity is reduced, but the ability to handle dynamic changes and maintain alignment resilience deteriorates
Solution Approach 1:
The patent segments the coordinate system into distinct lead and follow systems, each with specific functions. The lead coordinate system maintains stable authoritative association points, while the follow coordinate system uses subsidiary association points that can adapt to local changes. This segmentation provides both structural clarity and functional adaptability without excessive complexity.
Solution Approach 2:
The patent introduces dynamic characteristics to the follow coordinate system, allowing subsidiary association points to be created, updated, or removed based on real-time environmental conditions. This dynamic capability enables the system to adapt to changes in physical spaces while maintaining overall alignment through the relationship between lead and follow systems.
Data Source
AI summary
A computer-implemented method implements a resilient interdependent spatial alignment (RISA) process to improve and maintain spatial alignment between two associated coordinate systems by moving a follow coordinate system to align it to a lead coordinate system. In some use cases, the coordinate systems may be a physical space and a corresponding digital model of the space. A user device such as an augmented reality headset or robotic sensors may be moving in the physical space, and alignment to the model is continually maintained, updated and improved responsive to acquired spatial data to enable, for example, holographic display of the model in the headset very closely aligned to the physical space. Multiple volumes can each have corresponding digital “spaces” or RisaSites to manage anchor data with dynamic hand-off among them while accommodating differing scale and density.