A Comparison of Similarity Measures for Localization with Passive RFID Fingerprints
P. Vorst, and A. Zell. ISR/ROBOTIK 2010 (Proceedings of the joint conference of ISR 2010 (41st International Symposium on Robotics) and ROBOTIK 2010 (6th German Conference on Robotics)), page 354--361. VDE Verlag, (June 2010)
Abstract
We present a novel approach to self-localization with passive RFID fingerprints using vector space similarity measures and weighted k-nearest neighbors (WKNN). Embedded in a particle filter, our technique provides robust and accurate position estimates. This is shown through various experiments with a mobile robot. The formulation of the observation model guarantees applicability to any type of off-the-shelf RFID reader which counts RFID tag detections. Different similarity measures are investigated, and a new measure is proposed.
ISR/ROBOTIK 2010 (Proceedings of the joint conference of ISR 2010 (41st International Symposium on Robotics) and ROBOTIK 2010 (6th German Conference on Robotics))
%0 Conference Paper
%1 vorst2010isr
%A Vorst, Philipp
%A Zell, Andreas
%B ISR/ROBOTIK 2010 (Proceedings of the joint conference of ISR 2010 (41st International Symposium on Robotics) and ROBOTIK 2010 (6th German Conference on Robotics))
%D 2010
%I VDE Verlag
%K EPC RFID UHF comparison fingerprinting localization location long-range measures mobile passive robot similarity
%P 354--361
%T A Comparison of Similarity Measures for Localization with Passive RFID Fingerprints
%U http://www.ra.cs.uni-tuebingen.de/publikationen/2010/vorst2010isr.pdf
%X We present a novel approach to self-localization with passive RFID fingerprints using vector space similarity measures and weighted k-nearest neighbors (WKNN). Embedded in a particle filter, our technique provides robust and accurate position estimates. This is shown through various experiments with a mobile robot. The formulation of the observation model guarantees applicability to any type of off-the-shelf RFID reader which counts RFID tag detections. Different similarity measures are investigated, and a new measure is proposed.
@inproceedings{vorst2010isr,
abstract = {We present a novel approach to self-localization with passive RFID fingerprints using vector space similarity measures and weighted k-nearest neighbors (WKNN). Embedded in a particle filter, our technique provides robust and accurate position estimates. This is shown through various experiments with a mobile robot. The formulation of the observation model guarantees applicability to any type of off-the-shelf RFID reader which counts RFID tag detections. Different similarity measures are investigated, and a new measure is proposed. },
added-at = {2010-06-10T13:47:52.000+0200},
author = {Vorst, Philipp and Zell, Andreas},
biburl = {https://www.bibsonomy.org/bibtex/28148ff09ee81cc6b7c38c0547704e605/fifo79},
booktitle = {ISR/ROBOTIK 2010 (Proceedings of the joint conference of ISR 2010 (41st International Symposium on Robotics) and ROBOTIK 2010 (6th German Conference on Robotics))},
interhash = {fd54cc5a35273dc090e06aa41d4f53e4},
intrahash = {8148ff09ee81cc6b7c38c0547704e605},
keywords = {EPC RFID UHF comparison fingerprinting localization location long-range measures mobile passive robot similarity},
month = {June},
pages = {354--361},
publisher = {VDE Verlag},
timestamp = {2010-06-10T13:47:52.000+0200},
title = {A Comparison of Similarity Measures for Localization with Passive {RFID} Fingerprints },
url = {http://www.ra.cs.uni-tuebingen.de/publikationen/2010/vorst2010isr.pdf},
year = 2010
}