A Framework for NLOS Ultra-Wideband Ranging in Collaborative Mobile Robot Systems

Ultra-wideband (UWB) localization is one of the most promising indoor localization methods. Yet, non-line-of- sight (NLOS) positioning scenarios remain a challenge and can potentially cause significant localization errors. In this work, we leverage the collaborative paradigm of a multi-robot system by sharing relative positioning information, and thus alleviating error susceptibility in NLOS ranging scenarios. In particular, we detail a decentralized particle filter based localization algorithm which combines an UWB range model with a robot detection model. Finally, we test both collaborative and non-collaborative versions of our algorithm in simulation, in mixed LOS/NLOS scenarios. Results show superior performance for the collabora- tive system when compared to non-collaborative systems utilizing only UWB ranging

Published in:
Proceedings of the 2nd International Conference on Indoor Positioning and Indoor Navigation
Presented at:
International Conference on Indoor Positioning and Indoor Navigation (IPIN), Minho, Portugal, September, 2011

 Record created 2011-06-01, last modified 2018-01-28

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