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Rotation-Invariant magnetic features for inertial indoor-localization

: Klipp, Konstantin; Rosé, Helge; Willaredt, Jonas; Sawade, Oliver; Radusch, Ilja


Institute of Electrical and Electronics Engineers -IEEE-:
IPIN 2018, Ninth International Conference on Indoor Positioning and Indoor Navigation : September 24-27, 2018, Nantes, France
Piscataway, NJ: IEEE, 2018
ISBN: 978-1-5386-5635-8
ISBN: 978-1-5386-5636-5
International Conference on Indoor Positioning and Indoor Navigation (IPIN) <9, 2018, Nantes>
Conference Paper
Fraunhofer FOKUS ()

Indoor-Localization using mobile end-user devices such as smartphones remains a highly discussed research topic. Applications range from guidance in large structures, assistance of visually impaired or even localization and guidance in rescue operations. Current approaches are often based on Radio-Frequency strength localization, which show insufficient precision and robustness. In this paper we investigate a magneto-based approach using rotation-invariant features compared with a pre-recorded grid-based map. Furthermore, we show, how this approach can be combined with relative localization using step recognition from inertial measurements We test and evaluate both systems in simulation as well as real-world tests. We show, that a sub-meter precision localization accuracy can be reached using our magneto-intertial approach.