Firefly: Localizing Drones with Visible Light Communication and Sensor Fusion

Ricardo Ampudia Hernandez; Talia Xu; Yanqiu Huang; Marco A. Zúñiga 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 A. Zúñiga Zamalloa

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

33 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
Subtitle of host publication	19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023
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 - 27 Sept 2023
Event	19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023 - Paphos, Cyprus Duration: 19 Jun 2023 → 21 Jun 2023 Conference number: 19 https://dcoss.org/dcoss23/

Publication series

Name	Proceedings - 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023
Publisher	IEEE
ISSN (Print)	2325-2936
ISSN (Electronic)	2325-2944

Conference

Conference	19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023
Abbreviated title	DCOSS-IoT 2023
Country/Territory	Cyprus
City	Paphos
Period	19/06/23 → 21/06/23
Internet address	https://dcoss.org/dcoss23/

Keywords

Drone localization
Sensor fusion
Visible Light Communication
2023 OA procedure

Access to Document

10.1109/DCOSS-IoT58021.2023.00045

ArticleFinal published version, 486 KBLicence: Taverne

Cite this

Hernandez, R. A., Xu, T., Huang, Y., & Zúñiga Zamalloa, M. A. (2023). Firefly: Localizing Drones with Visible Light Communication and Sensor Fusion. In Proceedings: 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023 (pp. 217-221). (Proceedings - 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023). IEEE. https://doi.org/10.1109/DCOSS-IoT58021.2023.00045

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

@inproceedings{758b9044eb904250a1e318d9b2e0668d,

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 = "Drone localization, Sensor fusion, Visible Light Communication, 2023 OA procedure",

author = "Hernandez, {Ricardo Ampudia} and Talia Xu and Yanqiu Huang and {Z{\'u}{\~n}iga Zamalloa}, {Marco A.}",

note = "Funding Information: This work has been funded by the European Union's H2020 programme under the Marie Sk{\l}odowska Curie grant agreement ENLIGHTEM No. 814215, and by the Dutch Research Council (NWO) with the FIREFLY XS-Grant with project number OCENW.XS21.2.077. Funding Information: ACKNOWLEDGMENTS This work has been funded by the European Union{\textquoteright}s H2020 programme under the Marie Sk{\l}odowska Curie grant agreement ENLIGHTEM No. 814215, and by the Dutch Research Council (NWO) with the FIREFLY XS-Grant with project number OCENW.XS21.2.077. Publisher Copyright: {\textcopyright} 2023 IEEE.; 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023, DCOSS-IoT 2023 ; Conference date: 19-06-2023 Through 21-06-2023",

year = "2023",

month = sep,

day = "27",

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

language = "English",

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

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

publisher = "IEEE",

pages = "217--221",

booktitle = "Proceedings",

address = "United States",

url = "https://dcoss.org/dcoss23/",

}

Hernandez, RA, Xu, T, Huang, Y & Zúñiga Zamalloa, MA 2023, Firefly: Localizing Drones with Visible Light Communication and Sensor Fusion. in Proceedings: 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023. Proceedings - 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023, IEEE, pp. 217-221, 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023, Paphos, Cyprus, 19/06/23. https://doi.org/10.1109/DCOSS-IoT58021.2023.00045

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Firefly

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

AU - Hernandez, Ricardo Ampudia

AU - Xu, Talia

AU - Huang, Yanqiu

AU - Zúñiga Zamalloa, Marco A.

N1 - Conference code: 19

PY - 2023/9/27

Y1 - 2023/9/27

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 - Drone localization

KW - Sensor fusion

KW - Visible Light Communication

KW - 2023 OA procedure

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

AN - SCOPUS:85174416809

SN - 979-8-3503-4650-3

T3 - Proceedings - 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023

SP - 217

EP - 221

BT - Proceedings

PB - IEEE

Y2 - 19 June 2023 through 21 June 2023

ER -

Hernandez RA, Xu T, Huang Y, Zúñiga Zamalloa MA. Firefly: Localizing Drones with Visible Light Communication and Sensor Fusion. In Proceedings: 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023. IEEE. 2023. p. 217-221. (Proceedings - 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023). doi: 10.1109/DCOSS-IoT58021.2023.00045

Firefly: Localizing Drones with Visible Light Communication and Sensor Fusion

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this