A4 Refereed article in a conference publication
UWB-based System for UAV Localization in GNSS-Denied Environments: Characterization and Dataset
Authors: Peña Queralta Jorge, Martínez Almansa Carmen, Schiano Fabrizio, Floreano Dario, Westerlund Tomi
Editors: N/A
Conference name: IEEE/RSJ International Conference on Intelligent Robots and Systems
Publication year: 2021
Journal: IEEE/RSJ International Conference on Intelligent Robots and Systems
Book title : 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
First page : 4521
Last page: 4528
ISBN: 978-1-7281-6213-3
eISBN: 978-1-7281-6212-6
ISSN: 2153-0858
DOI: https://doi.org/10.1109/IROS45743.2020.9341042
Web address : https://ieeexplore.ieee.org/document/9341042
Self-archived copy’s web address: https://arxiv.org/abs/2003.04380
Small unmanned aerial vehicles (UAV) have penetrated multiple domains over the past years. In GNSS-denied or indoor environments, aerial robots require a robust and stable localization system, often with external feedback, in order to fly safely. Motion capture systems are typically utilized indoors when accurate localization is needed. However, these systems are expensive and most require a fixed setup. In this paper, we study and characterize an ultra-wideband (UWB) system for navigation and localization of aerial robots indoors based on Decawave’s DWM1001 UWB node. The system is portable, inexpensive and can be battery powered in its totality. We show the viability of this system for autonomous flight of UAVs, and provide open-source methods and data that enable its widespread application even with movable anchor systems. We characterize the accuracy based on the position of the UAV with respect to the anchors, its altitude and speed, and the distribution of the anchors in space. Finally, we analyze the accuracy of the self-calibration of the anchors’ positions.