Title :
Information fusion for indoor localization
Author :
Blanchart, Pierre ; He, Liyun ; Le Gland, François
Author_Institution :
Telecom ParisTech, Paris, France
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.
Keywords :
belief networks; particle filtering (numerical methods); traffic information systems; Bayesian filter; cartographic constraints; indoor localization; information fusion; particle filter approximation; pedestrian user; proximity beacon measurements; Additive noise; Bayesian methods; Glands; Helium; Information filtering; Information filters; Information resources; Particle measurements; Position measurement; Telecommunications; cartographic constraints; information fusion; particle filtering; pedestrian navigation system (PNS); proximity beacon; ranging beacon;
Conference_Titel :
Information Fusion, 2009. FUSION '09. 12th International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
978-0-9824-4380-4
