Firefly: Localizing Drones with Visible Light Communication and Sensor Fusion

Ricardo Ampudia Hernandez; Talia Xu; Yanqiu  Huang; Marco Zuniga Zamalloa

doi:10.1109/DCOSS-IoT58021.2023.00045

Firefly: Localizing Drones with Visible Light Communication and Sensor Fusion

Ricardo Ampudia Hernandez, Talia Xu, Yanqiu Huang, Marco Zuniga Zamalloa

Networked Systems

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

5 Downloads (Pure)

Abstract

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.

Original language	English
Title of host publication	Proceedings of the 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)
Editors	L. O'Conner
Place of Publication	Piscataway
Publisher	IEEE
Pages	217-221
Number of pages	5
ISBN (Electronic)	979-8-3503-4649-7
ISBN (Print)	979-8-3503-4650-3
DOIs	https://doi.org/10.1109/DCOSS-IoT58021.2023.00045
Publication status	Published - 2023
Event	2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT) - Pafos, Cyprus Duration: 19 Jun 2023 → 21 Jun 2023 Conference number: 19th

Conference

Conference	2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)
Country/Territory	Cyprus
City	Pafos
Period	19/06/23 → 21/06/23

Bibliographical note

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.

Keywords

Visible Light Communication
Drone localization
Sensor fusion

Access to Document

10.1109/DCOSS-IoT58021.2023.00045

Firefly_Localizing_Drones_with_Visible_Light_Communication_and_Sensor_FusionFinal published version, 525 KB

Cite this

Ampudia Hernandez, R., Xu, T., Huang, Y., & Zuniga Zamalloa, M. (2023). Firefly: Localizing Drones with Visible Light Communication and Sensor Fusion. In L. O'Conner (Ed.), Proceedings of the 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT) (pp. 217-221). IEEE. https://doi.org/10.1109/DCOSS-IoT58021.2023.00045

@inproceedings{b44206c0d56d4d00b8e4cc1ec394e7d8,

title = "Firefly: Localizing Drones with Visible Light Communication and Sensor Fusion",

abstract = "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.",

keywords = "Visible Light Communication, Drone localization, Sensor fusion",

author = "{Ampudia Hernandez}, Ricardo and Talia Xu and Yanqiu Huang and {Zuniga Zamalloa}, Marco",

note = "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.; 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT) ; Conference date: 19-06-2023 Through 21-06-2023",

year = "2023",

doi = "10.1109/DCOSS-IoT58021.2023.00045",

language = "English",

isbn = "979-8-3503-4650-3",

pages = "217--221",

editor = "L. O'Conner",

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

publisher = "IEEE",

address = "United States",

}

Ampudia Hernandez, R, Xu, T, Huang, Y & Zuniga Zamalloa, M 2023, Firefly: Localizing Drones with Visible Light Communication and Sensor Fusion. in L O'Conner (ed.), Proceedings of the 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT). IEEE, Piscataway, pp. 217-221, 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), Pafos, Cyprus, 19/06/23. https://doi.org/10.1109/DCOSS-IoT58021.2023.00045

Firefly: Localizing Drones with Visible Light Communication and Sensor Fusion. / Ampudia Hernandez, Ricardo; Xu, Talia; Huang, Yanqiu et al.
Proceedings of the 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT). ed. / L. O'Conner. Piscataway: IEEE, 2023. p. 217-221.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Firefly: Localizing Drones with Visible Light Communication and Sensor Fusion

AU - Ampudia Hernandez, Ricardo

AU - Xu, Talia

AU - Huang, Yanqiu

AU - Zuniga Zamalloa, Marco

N1 - Conference code: 19th

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - Visible Light Communication

KW - Drone localization

KW - Sensor fusion

UR - http://www.scopus.com/inward/record.url?scp=85174416809&partnerID=8YFLogxK

U2 - 10.1109/DCOSS-IoT58021.2023.00045

DO - 10.1109/DCOSS-IoT58021.2023.00045

M3 - Conference contribution

SN - 979-8-3503-4650-3

SP - 217

EP - 221

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

A2 - O'Conner, L.

PB - IEEE

CY - Piscataway

T2 - 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)

Y2 - 19 June 2023 through 21 June 2023

ER -

Firefly: Localizing Drones with Visible Light Communication and Sensor Fusion

Abstract

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this