Towards Vision-Based 3-D People Tracking in a Smart Room
ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
RFID Handbook: Fundamentals and Applications in Contactless Smart Cards and Identification
RFID Handbook: Fundamentals and Applications in Contactless Smart Cards and Identification
LANDMARC: indoor location sensing using active RFID
Wireless Networks - Special issue: Pervasive computing and communications
An indoor localization platform for ambient assisted living using UWB
Proceedings of the 6th International Conference on Advances in Mobile Computing and Multimedia
Vision-based global localization and mapping for mobile robots
IEEE Transactions on Robotics
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This paper focuses on an active radio frequency identification (RFID)-based location-sensing system for enhancing the worker's safety under a cargo crane in a steel industry. For the purpose, the time of flight (TOF)-based distance sensing RFID system with location trilateration algorithm is developed to monitor workers' position. However, RF signal is easily affected by the surrounding environmental conditions, it is difficult to obtain reliable positional information under the restricted environmental conditions of the crane. For the problem, this paper introduces two new improvements. Firstly, circular polarization antennas are developed, which is highly effective for reducing an error in the distance estimation by transceiving RF signals with less dependance on its orientation. Secondly, a three-dimensional location-sensing algorithm that facilitates a distance and position filter is developed for enhancing accuracy by reducing a large error in the estimated distance. The field experimental results performed in the POSCO steel company demonstrate that the developed system is capable of finding target positions with significantly improved accuracy and effectiveness.