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2009
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Particle filter-based trajectory estimation with passive UHF RFID fingerprints in unknown environments

9 years 6 months ago
Particle filter-based trajectory estimation with passive UHF RFID fingerprints in unknown environments
Abstract— In this paper we present a novel approach to estimating the trajectory of a robot by means of inexpensive passive RFID tags and odometry in unknown environments. We show how trajectory estimation, a prerequisite of mapping RFID transponder positions without a reference positioning system, can be achieved using a particle filter. The presented technique is based on a non-parametric model of spatial relationships between RFID measurements. It overcomes the noisy nature of RFID measurements and the absence of distance and bearing information. The accuracy of our method is investigated in a series of experiments with a mobile service robot.
Philipp Vorst, Andreas Zell
Added 24 May 2010
Updated 24 May 2010
Type Conference
Year 2009
Where IROS
Authors Philipp Vorst, Andreas Zell
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