The deep learning based power line defect detection system built on data collected by the cablewalker drone

Evgenii Titov; Oksana Limanovskaya; Alexandr Lemekh; Daria Volkova

doi:10.1109/SIBIRCON48586.2019.8958397

The deep learning based power line defect detection system built on data collected by the cablewalker drone

Evgenii Titov, Oksana Limanovskaya, Alexandr Lemekh, Daria Volkova

Результат исследований: Глава в книге, отчете, сборнике статей › Материалы конференции

Язык оригинала	Английский
Название основной публикации	SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings
Издатель	Institute of Electrical and Electronics Engineers Inc.
Страницы	700-704
Число страниц	5
ISBN (электронное издание)	9781728144016
DOI	https://doi.org/10.1109/SIBIRCON48586.2019.8958397
Состояние	Опубликовано - окт 2019
Событие	2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019 - Novosibirsk, Российская Федерация Продолжительность: 21 окт 2019 → 27 окт 2019

Серия публикаций

Название	SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings

Конференция

Конференция	2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019
Страна	Российская Федерация
Город	Novosibirsk
Период	21/10/2019 → 27/10/2019

Предметные области ASJC Scopus

Computer Science Applications
Hardware and Architecture
Information Systems and Management
Electrical and Electronic Engineering
Control and Optimization
Instrumentation
Computer Networks and Communications

Ссылки

10.1109/SIBIRCON48586.2019.8958397

Link to publication in Scopus

Fingerprint Подробные сведения о темах исследования «The deep learning based power line defect detection system built on data collected by the cablewalker drone». Вместе они формируют уникальный семантический отпечаток (fingerprint).

Цитировать

Titov, E., Limanovskaya, O., Lemekh, A., & Volkova, D. (2019). The deep learning based power line defect detection system built on data collected by the cablewalker drone. В SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings (стр. 700-704). [8958397] (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIBIRCON48586.2019.8958397

Titov, Evgenii ; Limanovskaya, Oksana ; Lemekh, Alexandr ; Volkova, Daria. / The deep learning based power line defect detection system built on data collected by the cablewalker drone. SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. стр. 700-704 (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).

@inproceedings{14b61de44c664a09b696c0d6828b0e93,

title = "The deep learning based power line defect detection system built on data collected by the cablewalker drone",

keywords = "cablewalker, darknet, deep learning, defect detection, drone, fault detection, image processing, metal wire maintenance, object detection, power line maintenance, ROV, suspension insulators, transmission line, UAV, YOLO",

author = "Evgenii Titov and Oksana Limanovskaya and Alexandr Lemekh and Daria Volkova",

year = "2019",

month = oct,

doi = "10.1109/SIBIRCON48586.2019.8958397",

language = "English",

series = "SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "700--704",

booktitle = "SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings",

address = "United States",

note = "2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019 ; Conference date: 21-10-2019 Through 27-10-2019",

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Titov, E, Limanovskaya, O , Lemekh, A & Volkova, D 2019, The deep learning based power line defect detection system built on data collected by the cablewalker drone. в SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings., 8958397, SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings, Institute of Electrical and Electronics Engineers Inc., стр. 700-704, 2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019, Novosibirsk, Российская Федерация, 21/10/2019. https://doi.org/10.1109/SIBIRCON48586.2019.8958397

The deep learning based power line defect detection system built on data collected by the cablewalker drone. / Titov, Evgenii; Limanovskaya, Oksana ; Lemekh, Alexandr; Volkova, Daria.

SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. стр. 700-704 8958397 (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).

Результат исследований: Глава в книге, отчете, сборнике статей › Материалы конференции

TY - GEN

T1 - The deep learning based power line defect detection system built on data collected by the cablewalker drone

AU - Titov, Evgenii

AU - Limanovskaya, Oksana

AU - Lemekh, Alexandr

AU - Volkova, Daria

PY - 2019/10

Y1 - 2019/10

KW - cablewalker

KW - darknet

KW - deep learning

KW - defect detection

KW - drone

KW - fault detection

KW - image processing

KW - metal wire maintenance

KW - object detection

KW - power line maintenance

KW - ROV

KW - suspension insulators

KW - transmission line

KW - UAV

KW - YOLO

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U2 - 10.1109/SIBIRCON48586.2019.8958397

DO - 10.1109/SIBIRCON48586.2019.8958397

M3 - Conference contribution

AN - SCOPUS:85079047770

T3 - SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings

SP - 700

EP - 704

BT - SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019

Y2 - 21 October 2019 through 27 October 2019

ER -

Titov E, Limanovskaya O , Lemekh A, Volkova D. The deep learning based power line defect detection system built on data collected by the cablewalker drone. В SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. стр. 700-704. 8958397. (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings). https://doi.org/10.1109/SIBIRCON48586.2019.8958397