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Content Provider | IEEE Xplore Digital Library |
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Author | Vorst, P. Zell, A. |
Copyright Year | 2010 |
Description | Author affiliation: Computer Science Department, University of Tübingen, Sand 1, D-72076, Germany (Vorst, P.; Zell, A.) |
Abstract | We present a novel approach which enables a mobile robot to estimate its trajectory in an unknown environment with long-range passive radio-frequency identification (RFID). The estimation is based only on odometry and RFID measurements. The technique requires no prior observation model and makes no assumptions on the RFID setup. In particular, it is adaptive to the power level, the way the RFID antennas are mounted on the robot, and environmental characteristics, which have major impact on long-range RFID measurements. Tag positions need not be known in advance, and only the arbitrary, given infrastructure of RFID tags in the environment is utilized. By a series of experiments with a mobile robot, we show that trajectory estimation is achieved accurately and robustly. |
Starting Page | 1867 |
Ending Page | 1872 |
File Size | 825104 |
Page Count | 6 |
File Format | |
ISBN | 9781424450381 |
ISSN | 10504729 |
DOI | 10.1109/ROBOT.2010.5509810 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-05-03 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Radiofrequency identification Passive RFID tags Mobile robots Antenna measurements Radio frequency Adaptive arrays Power measurement Particle measurements RFID tags Robustness |
Content Type | Text |
Resource Type | Article |
Subject | Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software |
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