Robust RFID Based 6-DoF Localization for Unmanned Aerial Vehicles

Although Unmanned Aerial Vehicles (UAV) are usually deploy outdoors, there is increasing interest in applying UAVs for indoor applications. It is a highly attractive and challenging task to precisely localize a UAV in an indoor environment where Global Positioning System (GPS) service is absent. In...

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Bibliographic Details
Main Authors: Jian Zhang, Xiangyu Wang, Zhitao Yu, Yibo Lyu, Shiwen Mao, Senthilkumar CG Periaswamy, Justin Patton, Xuyu Wang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8735772/
Description
Summary:Although Unmanned Aerial Vehicles (UAV) are usually deploy outdoors, there is increasing interest in applying UAVs for indoor applications. It is a highly attractive and challenging task to precisely localize a UAV in an indoor environment where Global Positioning System (GPS) service is absent. In this paper, we present RFUAV, a Radio-frequency Identification (RFID) enhanced UAV system that provides a precise 6 degrees of freedom (6-DoF) pose for UAVs. With RFUAV, three or more ultra high frequency (UHF) RFID tags are attached to the UAV and are interrogated by a Commercial Off-The-Shelf (COTS) RFID reader with multiple antennas. Based on phase measurements of the RFID tag responses, the RFID tracker of RFUAV, a Bayesian filter-based algorithm, was employed to track the position of the tags in a global coordinate system. The pose estimator of RFUAV computes the 6-DoF pose of the UAV from tag positions. We tested the performance of RFUAV in a representative, structure-rich, indoor environment, where 0.04 m position error and 2.5 degrees orientation error were achieved.
ISSN:2169-3536