2009 IEEE International Symposium on Industrial Electronics 2009
DOI: 10.1109/isie.2009.5221628
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Mobile robot localization scheme based on RFID and sonar fusion system

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Cited by 16 publications
(9 citation statements)
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“…Choi and Lee [8] propose to localize mobile robots in an indoor environment by utilizing ultrasonic sensors in combination with an onboard reader. In the first stage, the global position of the mobile robot is estimated through onboard reader localization with respect to the neighborhood passive reference tags.…”
Section: Related Workmentioning
confidence: 99%
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“…Choi and Lee [8] propose to localize mobile robots in an indoor environment by utilizing ultrasonic sensors in combination with an onboard reader. In the first stage, the global position of the mobile robot is estimated through onboard reader localization with respect to the neighborhood passive reference tags.…”
Section: Related Workmentioning
confidence: 99%
“…and RFID components in an ad-hoc manner, large numbers of onboard components, high localization delays, and heavy power requirements [5,8,11,18]. Moreover, some of the above methods are too expensive or unwieldy due to the cost, size, and weight of the required infrastructure.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…[3] addressed the localization algorithm with a hybrid sensor network. For accurate localization the existing research might fuse sensor networks and general sensors, Choi [4] [5] proposes a localization scheme based on RFID and a Sonar system. At last robot localization can be based on sensor homogeneous or hybrid sensor networks and onboard robot sensors [6].…”
Section: Introductionmentioning
confidence: 99%
“…In [7], mobile robot localization is based on TOA of radio frequency signals, where the measured distances are used to compute the coordinates by Extended KF. Positioning can be improved by reducing the uncertainties in the measurements by using ultrasonic measurements [8], [9]. It is worth pointing out that a new localization method based on phase difference between two or more receiving antennas may provide a better accuracy and robustness than RSS-based methods [10].…”
mentioning
confidence: 99%