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2008
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Self-Localization with RFID snapshots in densely tagged environments

8 years 10 months ago
Self-Localization with RFID snapshots in densely tagged environments
Abstract— In this paper we show that, despite some disadvantageous properties of radio frequency identification (RFID), it is possible to localize a mobile robot quite accurately in environments which are densely tagged. We therefore employ a recently presented probabilistic fingerprinting technique called RFID snapshots. This method interprets short series of RFID measurements as feature vectors and is able to position a mobile robot after a training phase. It requires no explicit sensor model and is capable of exploiting given tag infrastructures, e.g., provided by supermarket shelves containing labeled products.
Philipp Vorst, Sebastian Schneegans, Bin Yang, And
Added 31 May 2010
Updated 31 May 2010
Type Conference
Year 2008
Where IROS
Authors Philipp Vorst, Sebastian Schneegans, Bin Yang, Andreas Zell
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