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Publication Type : Conference Paper
Publisher : 2018 International Conference on Advances in Computing, Communications and Informatics
Source : 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (2018)
Keywords : Antennas, camera, Cameras, chaotic indoor environments, Computer science, Feature extraction, Indoor environments, Indoor Object Localization, Localization, Multilateration, Object localization, Object recognition, Octane SDK, OpenCV’ RFID, ORB, overhead cameras, radiofrequency identification, RFID antennas, RFID sensors, RFID system, RFID tags, Sensor fusion, SIFT, SURF
Campus : Coimbatore
School : School of Engineering
Department : Computer Science
Year : 2018
Abstract : Object localization for indoor environments is still a challenge due to chaotic indoor environments. The most popular of techniques make use of Radio Frequency Identification (RFID) equipment or overhead cameras. We propose a novel method by combining these two popular methods, namely the RFID system and a single camera placed at an angle for increased range. The RFID system containing two RFID antennas estimates the approximate position of each object by identifying the range or area in which the object is found and then the camera recognizes the object by comparing its extracted features. The localization is achieved by the information obtained from the RFID sensors used. Experimental verification is performed to test the accuracy and robustness of this proposed method.
Cite this Research Publication : Ritwik Murali, Nachimuthu, D., SenthilKumar, D. V., Pandian, M. S., and Krishnen, D., “Localizing Assets in an Indoor Environment Using Sensor Fusion”, in 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2018.