SLAM Golden Reference Synchronization in Edge Cloud HMDs

The patent introduces a dedicated synchronization module that acts as an intermediary between multiple HMDs and the edge server. This module receives SLAM data from multiple HMDs, performs centralized processing to identify and resolve landmark discrepancies, and redistributes corrected data. The intermediary handles the complex synchronization logic separately, allowing each HMD to maintain high processing capability while relying on the central module to ensure synchronization accuracy through coordinated landmark validation and drift correction.

The system implements a feedback mechanism where the synchronization module continuously monitors landmark data from multiple HMDs, detects drift and inconsistencies, and generates correction signals that are fed back to the respective HMDs. This closed-loop feedback process enables real-time adjustment of SLAM parameters and landmark positions, maintaining measurement precision across the distributed system without compromising the processing power of individual nodes.

The patent extracts and isolates the computationally intensive golden reference comparison logic into a dedicated synchronization module that operates separately from the main SLAM processing pipeline of each HMD. By taking out this complex computation to a centralized or edge-based module, individual HMDs can maintain simpler, more efficient local processing while the extracted synchronization function handles the heavy computational load of comparing golden references across multiple devices, thereby managing overall system complexity.

The system applies partial action by selectively comparing only the golden reference landmarks (a subset of all detected features) across HMDs rather than performing exhaustive comparisons of all SLAM data. This partial approach focuses computational resources on the most critical synchronization points, achieving sufficient landmark accuracy without the excessive computational complexity that would result from complete data comparison across all devices.

The patent segments the SLAM data synchronization process into distinct components: local feature detection at each HMD, extraction of critical golden reference landmarks, selective transmission of only necessary correction data to the edge server, and targeted distribution of updates back to relevant HMDs. This segmentation allows the system to achieve map consistency by synchronizing only the essential landmark information rather than transmitting complete SLAM datasets, thereby reducing network bandwidth consumption while maintaining stability.

The system applies local quality by allowing each HMD to independently perform local feature detection and initial SLAM processing, maintaining high-quality local mapping capabilities. Only the critical golden reference landmarks that require cross-device validation are subjected to centralized synchronization. This approach ensures map consistency for critical features through network synchronization while allowing non-critical local data to remain decentralized, minimizing overall communication overhead.