LANDMARC: Indoor Location Sensing Using Active RFID
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
The Case for Multi-Tag RFID Systems
WASA '07 Proceedings of the International Conference on Wireless Algorithms,Systems and Applications
RFID Indoor Positioning Based on Probabilistic RFID Map and Kalman Filtering
WIMOB '07 Proceedings of the Third IEEE International Conference on Wireless and Mobile Computing, Networking and Communications
Modeling RFID signal strength and tag detection for localization and mapping
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Ferret: RFID localization for pervasive multimedia
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
Gesture recognition using RFID technology
Personal and Ubiquitous Computing
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Object localization is a key primitive in pervasive computing environments, where numerous applications depend on the rapid and accurate position estimation of objects. We present a general RFID-based localization framework that reliably determines the positions of objects with unprecedented accuracy and speed. This is achieved by varying the power levels of the RFID readers, calibrated against reference tags of known sensitivity. Our implementation and experiments are able to localize objects to an accuracy of 15 em within a few seconds, and this compares favorably with previous techniques. We also suggest senral practical optimizations for further enhancing the speed and accuracy ofthe method.