Infrastructure-Free RF Tracking for Dynamic Indoor Environments
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing solutions for tracking mobile entities indoors are ineffective in dynamic environments lacking favorable visual conditions or reference anchors, such as first responder scenarios and multi-player AR/VR gaming, due to latency and accuracy tradeoffs, overhead of range measurements, and partial information degrading accuracy.
Innovation Solution
The DynoLoc system employs UWB radio tags with IMUs for infrastructure-free tracking, using topology estimation, concurrent ranging, and robust relative localization through k-core sub-graphs to provide accurate localization without infrastructure support, addressing latency and mobility challenges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual inertial odometry is used for indoor tracking, then tracking accuracy is improved in favorable visual conditions, but the system fails to operate in dynamic environments without favorable visual conditions or reference anchors
Solution Approach 1:
The patent replaces visual-based tracking systems with RF-based tracking systems. Specifically, it uses radio tags and RF signals to achieve tracking without relying on visual conditions or infrastructure anchors, enabling operation in dynamic environments where visual systems fail.
Solution Approach 2:
The patent introduces RF signals as an intermediary medium for tracking. Instead of directly using visual information or physical anchors, the system uses radio frequency tags and signals to mediate the tracking process, allowing operation in environments where direct visual or anchor-based methods are unavailable.
2Measurement precision
If fine-grained ranging to reference anchors is used, then tracking accuracy is improved, but the system requires infrastructure support that is unavailable in dynamic environments
Solution Approach 1:
The patent extracts the tracking capability from the infrastructure context. Instead of requiring external reference anchors, the system enables nodes to track each other using only the nodes themselves as references, removing the dependency on deployed infrastructure while maintaining tracking functionality.
Solution Approach 2:
The system enables nodes to perform tracking using only themselves and other nodes as references. Each node contributes to the tracking of others through peer-to-peer RF ranging, making the system self-sufficient without external infrastructure support.
3Ease of operation
If conventional RF tracking with range measurements is used, then tracking capability is provided, but latency and overhead degrade accuracy in dynamic environments
Solution Approach 1:
The patent performs preliminary actions by pre-establishing RF connectivity and topology relationships among nodes before tracking is needed. The system maintains ready-to-use ranging capabilities and pre-computes topological relationships, so that when tracking is required, results are immediately available without significant latency.
Solution Approach 2:
The system maintains continuous RF ranging and topology estimation operations among nodes. Instead of performing measurements only when needed, the system continuously updates range information and topological relationships, ensuring that tracking data is always current and ready for immediate use in dynamic environments.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
DynoLoc achieves median localization errors under 1-2 meters for tens of mobile entities at speeds of 1-2 m/s with a 1 Hz refresh rate, outperforming existing solutions in dynamic indoor environments, and enables applications like real-time geofencing and multiplayer gaming.
Implementation Method 1
providing each individual one of the plurality of nodes located in the infrastructure-free, dynamic indoor environment with a radio tag
Implementation Method 2
determining relative localizations of the plurality of nodes by generating rigid k-core sub-graphs of the topology estimate
Data Source
AI summary
Aspects of the present disclosure describe systems, methods, and structures infrastructure-free RF tracking in dynamic indoor environments.


