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Post-processing optimization of piecewise indoor trajectories based on IMU and RSS measurements

Kersane Zoubert-Ousseni 1, 2 Christophe Villien 2 François Le Gland 1, 3
1 ASPI - Applications of interacting particle systems to statistics
IRMAR - Institut de Recherche Mathématique de Rennes, Inria Rennes – Bretagne Atlantique
2 CEA-LETI - Commissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information
3 IRMAR - Institut de Recherche Mathématique de Rennes
Abstract : Post-processing indoor navigation is interesting, for example to develop crowdsourcing analysis. The post-processing framework allows to provide a better estimation than in a real-time framework. The main contribution of this paper is to present a piecewise parametrization using inertial measurement unit (IMU) and received signal strength (RSS) measurements only which lead to an optimization problem. A Levenberg-Marquardt algorithm improved with simulated annealing and an adjustment of RSS measurements data leads to a good estimation (55% of the error less than 5 meters) of the trajectory.
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Conference papers
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https://hal.inria.fr/hal-01671149
Contributor : Francois Le Gland <>
Submitted on : Thursday, December 21, 2017 - 11:49:34 PM
Last modification on : Friday, February 5, 2021 - 3:39:30 AM

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IRMAR | CNRS | INSMI | UNAM | UNIV-RENNES1 | CEA | CHL | DRT | INRIA | UNIV-RENNES2 | UR2-HB | IRMAR-PS | LETI | UNIV-RENNES | INSA-GROUPE | CEA-GRE | INSA-RENNES

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Kersane Zoubert-Ousseni, Christophe Villien, François Le Gland. Post-processing optimization of piecewise indoor trajectories based on IMU and RSS measurements. Proceedings of the 8th International Conference on Indoor Positioning and Indoor Navigation (IPIN), Sep 2017, Sapporo, Japan. ⟨10.1109/IPIN.2017.8115903⟩. ⟨hal-01671149⟩

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