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Automatic Floor Map Construction for Indoor Localization

Authors:
Xin Luo
Albert Kai-Sun Wong
Mu Zhou
Xuning Zhang
Chin-Tau Lea

Keywords: Wi-Fi SLAM; Indoor Localizations; Graph Theory; Mobility Mapping

Abstract:
Existing indoor localization systems based on Wi-Fi Received Signal Strength (RSS) fingerprinting often assume the knowledge of a map of the coverage area and involve a tedious manual survey process at a set of sample locations along this map. In this paper, we describe an automatic graphical floor map and radio fingerprints generation system, called the Intelligent Mobility Mapping System (IMMS), which applies the concepts of crowd-sourcing and Simultaneous Localization and Mapping (SLAM) to construct a floor map in support of indoor people localization and tracking. IMMS makes use of high similar patterns in crowd-sourced traces of RSS measurements to identify location segments in the coverage area and to construct a graphical floor map. With IMMS, the elaborate off-line manual data collection process is eliminated.

Pages: 155 to 160

Copyright: Copyright (c) IARIA, 2014

Publication date: July 20, 2014

Published in: conference

ISSN: 2308-4030

ISBN: 978-1-61208-360-5

Location: Paris, France

Dates: from July 20, 2014 to July 24, 2014