Philipp Vorst, Sebastian Schneegans, Bin Yang, and Andreas Zell

Self-Localization with RFID Snapshots in Densely Tagged Environments

Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2008), Nice, France, September 22-26, 2008

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.

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BibTeX 

@INPROCEEDINGS{vorst2008iros,
  author    = {Philipp Vorst and Sebastian Schneegans and Bin Yang and Andreas Zell},
  title     = {Self-Localization with {RFID} Snapshots in Densely Tagged Environments},
  booktitle = {Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2008)},
  year      = {2008},
  pages     = {1353--1358},
  address   = {Nice, France},
  month     = {September 22-26},
  doi       = {10.1109/IROS.2008.4650715},
  ee        = {http://dx.doi.org/10.1109/IROS.2008.4650715},
  url       = {http://www.ra.cs.uni-tuebingen.de/publikationen/2008/vorst2008iros_snapshots.pdf}
}