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Information fusion for indoor localization

Pierre Blanchart 1, 2 Liyun He 2 François Le Gland 2 
2 ASPI - Applications of interacting particle systems to statistics
UR1 - Université de Rennes 1, Inria Rennes – Bretagne Atlantique , CNRS - Centre National de la Recherche Scientifique : UMR6074
Abstract : This paper describes a fusion approach to the problem of indoor localization of a pedestrian user, in which PNS measurements, cartographic constraints and ranging or proximity beacon measurements are combined in a particle filter approximation of the Bayesian filter. Some critical issues are also addressed, such as taking the constraints into account, monitoring the degeneracy of the weights and the sample depletion in terms of the effective sample size, detecting track loss, and recovering from a detected loss.
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Conference papers
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Contributor : Francois Le Gland Connect in order to contact the contributor
Submitted on : Sunday, December 1, 2013 - 10:47:57 PM
Last modification on : Thursday, January 20, 2022 - 5:27:56 PM


  • HAL Id : hal-00912033, version 1


Pierre Blanchart, Liyun He, François Le Gland. Information fusion for indoor localization. Proceedings of the 12th International Conference on Information Fusion, Seattle 2009, ISIF, Jul 2009, Seattle, United States. pp.2083-2090. ⟨hal-00912033⟩



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