Correction: Yan et al. A Real-Time Strand Breakage Detection Method for Power Line Inspection with UAVs. Drones 2023, 7, 574-Reference-Cited by-同舟云学术

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Correction: Yan et al. A Real-Time Strand Breakage Detection Method for Power Line Inspection with UAVs. Drones 2023, 7, 574

Published:2023-11-07 Issue:11 Volume:7 Page:663
ISSN:2504-446X
Container-title:Drones
language:en
Short-container-title:Drones

Author:

Yan Jichen¹²^ORCID,Zhang Xiaoguang¹²^ORCID,Shen Siyang¹²³^ORCID,He Xing¹²^ORCID,Xia Xuan¹²^ORCID,Li Nan¹²⁴^ORCID,Wang Song⁵^ORCID,Yang Yuxuan⁵^ORCID,Ding Ning¹²⁴^ORCID

Affiliation:

1. Institute of Robotics and Intelligent Manufacturing, The Chinese University of Hong Kong (Shenzhen), Shenzhen 518172, China

2. Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen 518129, China

3. School of Data Science, The Chinese University of Hong Kong (Shenzhen), Shenzhen 518172, China

4. Joint Laboratory for Electric Power Robots of China Southern Power Grid Co., Ltd., Shenzhen 518129, China

5. CSG Electric Power Research Institute Co., Ltd., Guangzhou 510663, China

Abstract

In the published work [...]

Funder

National Key R&D Program of China

Publisher

MDPI AG

Subject

Artificial Intelligence,Computer Science Applications,Aerospace Engineering,Information Systems,Control and Systems Engineering

Link

https://www.mdpi.com/2504-446X/7/11/663/pdf

Reference1 articles.

1. Yan, J., Zhang, X., Shen, S., He, X., Xia, X., Li, N., Wang, S., Yang, Y., and Ding, N. (2023). A Real-Time Strand Breakage Detection Method for Power Line Inspection with UAVs. Drones, 7.

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