Survey and Evaluation of Sensors for Overhead Cable Detection using UAVs

Nicolaj Haarhoj Malle; Frederik Falk Nyboe; Emad Ebeid

doi:10.1109/ICUAS51884.2021.9476724

Survey and Evaluation of Sensors for Overhead Cable Detection using UAVs

Nicolaj Haarhoj Malle, Frederik Falk Nyboe, Emad Ebeid

Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review

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https://www.youtube.com/watch?v=keq51pOEn0k

Abstrakt

Inspecting overhead cables using autonomous Unmanned Aerial Vehicles (UAVs) is an affordable and promising future solution for providing a clear picture of the energy infrastructure. However, most of today’s UAVs for powerline inspection are designed to use the Global Navigation Satellite System (GNSS) to follow the power pylons which compromises the detection accuracy. In this paper, we provide an overview of the current state-of-the-art in sensors that can be used to remotely detect power lines using UAVs. The work compares 20+ low-cost, low-power, and light-weight sensors. The performance of 6 different kinds of sensors is evaluated thoroughly in a real outdoor powerline test setup using a custom UAV. The sensor data is obtained and analyzed using Robot Operating System (ROS) and is provided openly.

Originalsprog	Engelsk
Titel	2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021
Forlag	IEEE
Publikationsdato	15. jun. 2021
Sider	361-370
ISBN (Elektronisk)	978-1-6654-1535-4
DOI	https://doi.org/10.1109/ICUAS51884.2021.9476724
Status	Udgivet - 15. jun. 2021
Begivenhed	2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021 - Athens, Grækenland Varighed: 15. jun. 2021 → 18. jun. 2021

Konference

Konference	2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021
Land/Område	Grækenland
By	Athens
Periode	15/06/2021 → 18/06/2021

Navn	Proceedings of International Conference on Unmanned Aircraft Systems
ISSN	2575-7296

Bibliografisk note

Funding Information:
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 861111, Drones4Safety.

Publisher Copyright:
© 2021 IEEE.

Dokumenter og links

10.1109/ICUAS51884.2021.9476724

Open Access VersionAccepteret manuskript, 2,51 MBLicens: GNU GPL

Andre filer og links

1 Igangværende

EU H2020: Drones4Safety
Ebeid, E. S. M., Lindberg, A., Malle, N. H. & Nyboe, F. F.
01/06/2020 → 31/05/2023
Projekter: Projekt › EU

Survey and Evaluation of Sensors for Overhead Cable Detection using UAVs: Sensor Evaluation Dataset
Malle, N. H. (Ophavsmand), Nyboe, F. F. (Ophavsmand) & Ebeid, E. S. M. (Ophavsmand), Zenodo.org, 2021
DOI: 10.5281/zenodo.4563991, https://zenodo.org/record/4563991
Datasæt

Citationsformater

@inproceedings{a4f9b1a20b5f490b890439b0dcd118c8,

title = "Survey and Evaluation of Sensors for Overhead Cable Detection using UAVs",

abstract = "Inspecting overhead cables using autonomous Unmanned Aerial Vehicles (UAVs) is an affordable and promising future solution for providing a clear picture of the energy infrastructure. However, most of today{\textquoteright}s UAVs for powerline inspection are designed to use the Global Navigation Satellite System (GNSS) to follow the power pylons which compromises the detection accuracy. In this paper, we provide an overview of the current state-of-the-art in sensors that can be used to remotely detect power lines using UAVs. The work compares 20+ low-cost, low-power, and light-weight sensors. The performance of 6 different kinds of sensors is evaluated thoroughly in a real outdoor powerline test setup using a custom UAV. The sensor data is obtained and analyzed using Robot Operating System (ROS) and is provided openly. ",

keywords = "Sensors, UAVs, Powerlines, Inspection, Survey",

author = "Malle, {Nicolaj Haarhoj} and Nyboe, {Frederik Falk} and Emad Ebeid",

note = "Funding Information: This project has received funding from the European Union{\textquoteright}s Horizon 2020 research and innovation programme under grant agreement No 861111, Drones4Safety. Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021, ICUAS '21 ; Conference date: 15-06-2021 Through 18-06-2021",

year = "2021",

month = jun,

day = "15",

doi = "10.1109/ICUAS51884.2021.9476724",

language = "English",

series = "Proceedings of International Conference on Unmanned Aircraft Systems",

pages = "361--370",

booktitle = "2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021",

publisher = "IEEE",

address = "United States",

}

Malle, NH , Nyboe, FF & Ebeid, E 2021, Survey and Evaluation of Sensors for Overhead Cable Detection using UAVs. i 2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021. IEEE, Proceedings of International Conference on Unmanned Aircraft Systems, s. 361-370, 2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021, Athens, Grækenland, 15/06/2021. https://doi.org/10.1109/ICUAS51884.2021.9476724

Survey and Evaluation of Sensors for Overhead Cable Detection using UAVs. / Malle, Nicolaj Haarhoj ; Nyboe, Frederik Falk ; Ebeid, Emad.

2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021. IEEE, 2021. s. 361-370 (Proceedings of International Conference on Unmanned Aircraft Systems).

Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review

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AU - Malle, Nicolaj Haarhoj

AU - Nyboe, Frederik Falk

AU - Ebeid, Emad

N1 - Funding Information: This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 861111, Drones4Safety. Publisher Copyright: © 2021 IEEE.

PY - 2021/6/15

Y1 - 2021/6/15

N2 - Inspecting overhead cables using autonomous Unmanned Aerial Vehicles (UAVs) is an affordable and promising future solution for providing a clear picture of the energy infrastructure. However, most of today’s UAVs for powerline inspection are designed to use the Global Navigation Satellite System (GNSS) to follow the power pylons which compromises the detection accuracy. In this paper, we provide an overview of the current state-of-the-art in sensors that can be used to remotely detect power lines using UAVs. The work compares 20+ low-cost, low-power, and light-weight sensors. The performance of 6 different kinds of sensors is evaluated thoroughly in a real outdoor powerline test setup using a custom UAV. The sensor data is obtained and analyzed using Robot Operating System (ROS) and is provided openly.

AB - Inspecting overhead cables using autonomous Unmanned Aerial Vehicles (UAVs) is an affordable and promising future solution for providing a clear picture of the energy infrastructure. However, most of today’s UAVs for powerline inspection are designed to use the Global Navigation Satellite System (GNSS) to follow the power pylons which compromises the detection accuracy. In this paper, we provide an overview of the current state-of-the-art in sensors that can be used to remotely detect power lines using UAVs. The work compares 20+ low-cost, low-power, and light-weight sensors. The performance of 6 different kinds of sensors is evaluated thoroughly in a real outdoor powerline test setup using a custom UAV. The sensor data is obtained and analyzed using Robot Operating System (ROS) and is provided openly.

KW - Sensors

KW - UAVs

KW - Powerlines

KW - Inspection

KW - Survey

UR - https://github.com/DIII-SDU-Group/ICUAS2021

UR - https://www.youtube.com/watch?v=keq51pOEn0k

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M3 - Article in proceedings

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T3 - Proceedings of International Conference on Unmanned Aircraft Systems

SP - 361

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BT - 2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021

PB - IEEE

T2 - 2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021

Y2 - 15 June 2021 through 18 June 2021

ER -

Survey and Evaluation of Sensors for Overhead Cable Detection using UAVs

Abstrakt

Konference

Bibliografisk note

Dokumenter og links

Andre filer og links

Fingeraftryk

Relaterede Projekter

EU H2020: Drones4Safety

Relaterede forskningsdatasæt

Survey and Evaluation of Sensors for Overhead Cable Detection using UAVs: Sensor Evaluation Dataset

Citationsformater