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WLAN-Based Pedestrian Tracking Using Particle Filters and Low-Cost MEMS Sensors

Wang, Hui; Lenz, Henning; Szabo, Andrei; Bamberger, Joachim; Hanebeck, Uwe D.

Abstract: Indoor positioning systems based on Wireless LAN (WLAN) are being widely investigated in academia and industry. Meanwhile, the emerging low-cost MEMS sensors can also be used as another independent positioning source. In this paper, we propose a pedestrian tracking framework based on particle filters, which extends the typical WLAN-based indoor positioning systems by integrating low-cost MEMS accelerometer and map information. Our simulation and real world experiments indicate a remarkable performance improvement by using this fusion framework.


Zugehörige Institution(en) am KIT Institut für Anthropomatik (IFA)
Publikationstyp Proceedingsbeitrag
Jahr 2007
Sprache Englisch
Identifikator ISBN: 1-4244-0871-7
URN: urn:nbn:de:swb:90-348433
KITopen ID: 1000034843
Erschienen in Workshop on Positioning, Navigation and Communication, (WPNC 2007), Hanover, Germany, March, 2007
Verlag IEEE, Oscataway
Seiten 7 S.
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