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

研究成果: Conference contribution同行評審

7 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題2010 IEEE Workshop on Advanced Robotics and Its Social Impacts, ARSO 2010 - Conference Proceedings
頁面136-141
頁數6
DOIs
出版狀態Published - 1 十二月 2010
事件2010 IEEE Workshop on Advanced Robotics and Its Social Impacts, ARSO 2010 - Seoul, Korea, Republic of
持續時間: 26 十月 201028 十月 2010

出版系列

名字Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO
ISSN(列印)2162-7568
ISSN(電子)2162-7576

Conference

Conference2010 IEEE Workshop on Advanced Robotics and Its Social Impacts, ARSO 2010
國家Korea, Republic of
城市Seoul
期間26/10/1028/10/10

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