Information fusion for indoor localization

Author

Blanchart, Pierre ; He, Liyun ; Le Gland, François

Author_Institution

Telecom ParisTech, Paris, France

fYear

2009

fDate

6-9 July 2009

Firstpage

2083

Lastpage

2090

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Fusion, 2009. FUSION '09. 12th International Conference on

Conference_Location

Seattle, WA

Print_ISBN

978-0-9824-4380-4

Type

conf

Filename

5203686