UWB-based System for UAV Localization in GNSS-Denied Environments: Characterization and Dataset




Peña Queralta Jorge, Martínez Almansa Carmen, Schiano Fabrizio, Floreano Dario, Westerlund Tomi

N/A

IEEE/RSJ International Conference on Intelligent Robots and Systems

2021

IEEE/RSJ International Conference on Intelligent Robots and Systems

2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

4521

4528

978-1-7281-6213-3

978-1-7281-6212-6

2153-0858

DOIhttps://doi.org/10.1109/IROS45743.2020.9341042

https://ieeexplore.ieee.org/document/9341042

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.



Last updated on 2024-26-11 at 11:51