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Indoor Tracking by RFID Fusion with IMU Data
Author(s) -
Wang Fafa,
Su Tingli,
Jin Xuebo,
Zheng Yangyang,
Kong Jianlei,
Bai Yuting
Publication year - 2019
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.1954
Subject(s) - inertial measurement unit , trajectory , tracking (education) , computer science , sensor fusion , track (disk drive) , radio frequency identification , tracking system , real time computing , inertial frame of reference , computer vision , identification (biology) , artificial intelligence , kalman filter , pedagogy , physics , botany , computer security , quantum mechanics , astronomy , biology , operating system , psychology
Indoor tracking and positioning technology have received significant attention. There are many techniques to track indoor targets, such as Wi‐Fi technology, radio frequency identification (RFID), and inertial navigation technology. However, these technologies cannot accurately track a target with a single sensor due to the uncertainty of the sensors. This paper presents an indoor tracking method using RFID and inertial measurement units (IMU); the estimated trajectory is mainly determined by RFID, and the information about the trajectory based on IMU is added when the estimated trajectory is missing without RFID data. The results show that the fusion estimation algorithm has excellent performance in indoor tracking and is very effective when the target maneuvers, even where some measurements are lost.