Philipp Vorst and Artur Koch and Andreas Zell

Efficient Self-Adjusting, Similarity-based Location Fingerprinting with Passive UHF RFID

IEEE International Conference on RFID-Technology and Applications (RFID-TA2011), Sitges, Barcelona, Spain, IEEE, September 15-16, 2011, pp. 160-167


Abstract

In this paper we present extensive experimental results of location fingerprinting with passive UHF radio-frequency identification (RFID). As recent passive RFID hardware provides information about received signal strength (RSS), we evaluate its usefulness in the context of fingerprinting based on classical vector similarity measures. We analyze the impact of decisive parameters of the applied approach and also select them automatically via cross-validation, including the most appropriate similarity measure. A further novelty is an RSS thresholding mechanism which reduces the computational demands of comparing fingerprints. This technique is especially useful in surroundings which are densely equipped with RFID tags, such as future supermarkets or logistic centers. We conducted realworld experiments with a mobile robot and two different RFID readers. Results are reported both for global localization in each time frame and for time-filtered position tracking. We provide the experimental data of this work for download. Details on the experimental setup as well as downloadable datasets can be obtained at http://www.cogsys.cs.uni-tuebingen.de/datasets/rfid-ta2011/.


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BibTeX

@inproceedings{vorst2011rfidta,
  author = {Philipp Vorst and Artur Koch and Andreas Zell},
  title = {Efficient Self-Adjusting, Similarity-based Location Fingerprinting
	with Passive {UHF} {RFID} },
  booktitle = {IEEE International Conference on RFID-Technology and Applications
	(RFID-TA2011)},
  year = {2011},
  pages = {160--167},
  address = {Sitges, Barcelona, Spain},
  month = {September 15-16},
  publisher = {IEEE},
  abstract = {In this paper we present extensive experimental results of location
	fingerprinting with passive UHF radio-frequency identification (RFID).
	As recent passive RFID hardware provides information about received
	signal strength (RSS), we evaluate its usefulness in the context
	of fingerprinting based on classical vector similarity measures.
	We analyze the impact of decisive parameters of the applied approach
	and also select them automatically via cross-validation, including
	the most appropriate similarity measure. A further novelty is an
	RSS thresholding mechanism which reduces the computational demands
	of comparing fingerprints. This technique is especially useful in
	surroundings which are densely equipped with RFID tags, such as future
	supermarkets or logistic centers. We conducted realworld experiments
	with a mobile robot and two different RFID readers. Results are reported
	both for global localization in each time frame and for time-filtered
	position tracking. We provide the experimental data of this work
	for download. Details on the experimental setup as well as downloadable
	datasets can be obtained at \url{http://www.cogsys.cs.uni-tuebingen.de/datasets/rfid-ta2011/}.},
  doi = {10.1109/RFID-TA.2011.6068632},
  ee = {http://dx.doi.org/10.1109/RFID-TA.2011.6068632},
  isbn = {978-1-4577-0028-6},
  url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2011/vorstkoch2011rfidta.pdf}
}