Firefly: Localizing Drones with Visible Light Communication and Sensor Fusion

Firefly: Localizing Drones with Visible Light Communication and Sensor Fusion

Ampudia Hernandez, Ricardo (University of Twente)
Xu, M. (TU Delft Networked Systems)
Huang, Yanqiu (University of Twente)
Zuniga, Marco (TU Delft Networked Systems)

O'Conner, L. (editor)

2023

In this paper, we propose a new approach where drones attain accurate localization by fusing information from artificial lighting and their embedded inertial and barometer sensors. Our system is able to provide accurate drone localization without the use of radios, GPS or cameras. We evaluate our framework, dubbed Firefly, with a testbed consisting of four light beacons and a mini-drone. Our results show that Firefly allows locating the drone within a few decimeters of the actual position; and compared to two state-of-the-art positioning methods that rely solely on lighting information, Firefly can reduce the localization error by 50 % and 80%.. respectively.

Visible Light Communication
Drone localization
Sensor fusion

http://resolver.tudelft.nl/uuid:b44206c0-d56d-4d00-b8e4-cc1ec394e7d8

https://doi.org/10.1109/DCOSS-IoT58021.2023.00045

IEEE, Piscataway

2024-03-27

979-8-3503-4650-3

Proceedings of the 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)

2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), 2023-06-19 → 2023-06-21, Pafos, Cyprus

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

conference paper

© 2023 Ricardo Ampudia Hernandez, M. Xu, Yanqiu Huang, Marco Zuniga