Multi―sensor fusion for localization. Concept and simulation results
| Autor: | Kubrak, Damien, Le Gland, François, He, Liyun, Oster, Yann |
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| Přispěvatelé: | Thales Alenia Space [Toulouse] (TAS), THALES [France], Applications of interacting particle systems to statistics (ASPI), Université de Rennes (UR)-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS), ION |
| Jazyk: | angličtina |
| Rok vydání: | 2009 |
| Předmět: | |
| Zdroj: | Proceedings of the 2009 ION Conference on Global Navigation Satellite Systems, Savannah 2009 Proceedings of the 2009 ION Conference on Global Navigation Satellite Systems, Savannah 2009, ION, Sep 2009, Savannah, United States. pp.767-777 |
| Popis: | International audience; This paper presents the simulation results of a hybrid positioning system based on a pedestrian navigation system that takes advantage of very few measurements of different types as well as map constraints. The data fusion is achieved at infrastructure and user level. Particle and extended Kalman filters are implemented and tested against different beacon density scenarios. Results show that metric accuracy (below 3 meters) is achievable in structured areas of low beacons and WiFi AP density. |
| Databáze: | OpenAIRE |
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