Simultaneous Localization and Mapping for pedestrians using distortions of the local magnetic field intensity in large indoor environments

We present a Simultaneous Localization and Mapping (SLAM) algorithm based on measurements of the ambient magnetic field strength (MagSLAM) that allows quasi-real-time mapping and localization in buildings, where pedestrians with foot-mounted sensors are the subjects to be localized. We assume two co...

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Bibliographic Details
Published in:2013 International Conference on Indoor Positioning and Indoor Navigation : 28-31 October 2013, Montbéliard-Belfort, France pp. 1 - 10
Main Authors: Robertson, Patrick, Frassl, Martin, Angermann, Michael, Doniec, Marek, Julian, Brian J., Garcia Puyol, Maria, Khider, Mohammed, Lichtenstern, Michael, Bruno, Luigi
Format: Conference Proceeding
Language:English
Published: IEEE 01.10.2013
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