Simultaneous localization and mapping using a short-range passive RFID reader with sparse tags in large environments

Jiun Fu Chen*, Chieh-Chih Wang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

The radio frequency identification (RFID) technology has been studied and used to solve the localization and mapping problems in which most of studies use long-range active or passive RFID systems with multiple readers and dense tags. In this paper, we propose to use a short-range passive RFID reader to accomplish extended Kalman filter (EKF) based simultaneous localization and mapping (SLAM) with sparse tags in large indoor environments. We demonstrate that it is feasible to accomplish SLAM with sufficient accuracy using only odometry and short-range RFID data. The simulation and experimental results demonstrate the feasibility of the proposed system.

Original languageEnglish
Title of host publication2010 IEEE Workshop on Advanced Robotics and Its Social Impacts, ARSO 2010 - Conference Proceedings
Pages136-141
Number of pages6
DOIs
StatePublished - 1 Dec 2010
Event2010 IEEE Workshop on Advanced Robotics and Its Social Impacts, ARSO 2010 - Seoul, Korea, Republic of
Duration: 26 Oct 201028 Oct 2010

Publication series

NameProceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO
ISSN (Print)2162-7568
ISSN (Electronic)2162-7576

Conference

Conference2010 IEEE Workshop on Advanced Robotics and Its Social Impacts, ARSO 2010
CountryKorea, Republic of
CitySeoul
Period26/10/1028/10/10

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    Chen, J. F., & Wang, C-C. (2010). Simultaneous localization and mapping using a short-range passive RFID reader with sparse tags in large environments. In 2010 IEEE Workshop on Advanced Robotics and Its Social Impacts, ARSO 2010 - Conference Proceedings (pp. 136-141). [5680012] (Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO). https://doi.org/10.1109/ARSO.2010.5680012