Visual Localization Service for Network-Restricted Mobile Subsystems
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Solution Overview
Problem
Existing navigation systems for mobile subsystems rely heavily on satellite networks, which can be unreliable or unavailable in network-restricted environments, hindering accurate localization.
Innovation Solution
A localization processing service that utilizes image sensors, orientation sensors, and processing modules to store and compare map features with captured image features, enabling the determination of a mobile subsystem's location without network communication through visual positioning and inertial navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If satellite navigation networks are used for localization, then positioning accuracy is improved, but system reliability deteriorates in network-restricted environments
Solution Approach 1:
The system transitions from satellite-based positioning parameters to visual feature matching parameters. By changing the fundamental measurement parameters from satellite signal coordinates to image feature vectors extracted from visual landmarks, the system achieves reliable localization in network-restricted environments while maintaining positioning accuracy through sophisticated image processing and feature comparison algorithms
Solution Approach 2:
The patent replaces the satellite-based electromagnetic positioning system with a visual-mechanical feature matching system. Instead of relying on satellite signals, the system uses image sensors to capture visual landmarks, extracts features from these images, and matches them against stored map features to determine position, thereby substituting the satellite navigation mechanism with a visual recognition mechanism that operates independently of network infrastructure
2Speed
If satellite navigation networks are used for localization, then initial positioning speed is improved, but adaptability deteriorates in network-restricted conditions
Solution Approach 1:
The system performs preliminary actions by pre-capturing and storing multiple images of known landmarks and their associated feature vectors in a database before actual localization is needed. This pre-processing and pre-storing of visual reference data enables rapid adaptation to network-restricted environments, as the system can immediately begin feature matching without requiring network access to acquire reference information
Solution Approach 2:
The system changes from satellite-based positioning parameters to visual feature matching parameters. By changing the fundamental measurement parameters from satellite signal coordinates to image feature vectors extracted from visual landmarks, the system achieves reliable localization in network-restricted environments while maintaining positioning accuracy through sophisticated image processing and feature comparison algorithms
Data Source
AI summary
Systems, methods, and computer-readable media for providing a localization processing service for enabling localization of a navigation network-restricted subsystem are provided.


