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 - Laboratoire d'Electronique et des Technologies 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.
Type de document :
Communication dans un congrès
Proceedings of the 8th International Conference on Indoor Positioning and Indoor Navigation (IPIN), Sep 2017, Sapporo, Japan. IEEE, 〈10.1109/IPIN.2017.8115903〉
Liste complète des métadonnées
https://hal.inria.fr/hal-01671149
Contributeur : Francois Le Gland <>
Soumis le : jeudi 21 décembre 2017 - 23:49:34
Dernière modification le : mercredi 11 avril 2018 - 01:37:47

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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. IEEE, 〈10.1109/IPIN.2017.8115903〉. 〈hal-01671149〉

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