Adaptive motion model for a smart phone based opportunistic localization system

Authors:
Maarten Weyn;Martin Klepal;Widyawan Widyawan
Affiliations:
Artesis University College of Antwerp, Department of Applied Engineering, Electronics-ICT, Belgium and University of Antwerp, Department of Mathematics and Computer Science, Belgium;Cork Institute of Technology, Ireland;Cork Institute of Technology, Ireland
Venue:
MELT'09 Proceedings of the 2nd international conference on Mobile entity localization and tracking in GPS-less environments
Year:
2009

Citing 7
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Abstract

Localization systems will evolve towards autonomous system which will use any useful information provided by mobile devices taking the hardware specification and environmental limitations into account. This paper demonstrates the concept of opportunistic localization using a smart phone with the following sensor technologies: Wi-Fi, GSM, GPS and two embedded accelerometers. A particle filter based estimator with an adaptive motion model is used to seamlessly fuse the different sensory readings. Real experiments in multi-floor, indoor-outdoor environments were conducted to analyze the performance of the proposed system. The achieved results using various sensor combinations are presented.