Home // ICONS 2015, The Tenth International Conference on Systems // View article

Indoor Smartphone Localization with Auto-Adaptive Dead Reckoning

Authors:
Nils Becker
Michael Jäger
Sebastian Süß

Keywords: Indoor Smartphone Localization with Auto-Adaptive Dead Reckoning

Abstract:
A common localization method for mobile devices is the fusion of absolute position measurements with relative motion information from sensor units. For each location measurement technique, specific context conditions determine the accuracy of the obtained location estimates. This paper presents a hybrid smartphone localization system fusing an absolute localization method, e.g., Wi-Fi-based signal strength fingerprinting, in an adaptive way with inertial pedestrian navigation, taking into account that each of the involved methods might deliver good results at one location but might also fail at another. Based on an accuracy factor reflecting the current context conditions of a location measurement the influence of each of the involved positioning estimates is weighted accordingly. In a case study using Wi-Fi fingerprinting, accuracy has been improved by 43% in an indoor environment.

Pages: 125 to 131

Copyright: Copyright (c) IARIA, 2015

Publication date: April 19, 2015

Published in: conference

ISSN: 2308-4243

ISBN: 978-1-61208-399-5

Location: Barcelona, Spain

Dates: from April 19, 2015 to April 24, 2015