Next Article in Journal
Clustering-Based Multi-Region Coverage-Path Planning of Heterogeneous UAVs
Previous Article in Journal
Research on Data Link Channel Decoding Optimization Scheme for Drone Power Inspection Scenarios
 
 
Correction to Drones 2023, 7(9), 574.
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Correction

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

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
*
Author to whom correspondence should be addressed.
Drones 2023, 7(11), 663; https://doi.org/10.3390/drones7110663
Submission received: 23 October 2023 / Accepted: 27 October 2023 / Published: 7 November 2023

Remove Affiliation

In the published work [1], there was an error regarding the affiliations for Jichen Yan. The updated affiliation should exclude: 3 Hishiyama Laboratory, Waseda University, Tokyo 1698555, Japan. And “The Chinese University of Hong Kong” updated to “The Chinese University of Hong Kong (Shenzhen)”. The updated affiliation information can be seen in the affiliation part of this correction. The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Yan, J.; Zhang, X.; Shen, S.; He, X.; Xia, X.; Li, N.; Wang, S.; Yang, Y.; Ding, N. A Real-Time Strand Breakage Detection Method for Power Line Inspection with UAVs. Drones 2023, 7, 574. [Google Scholar] [CrossRef]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Yan, J.; Zhang, X.; Shen, S.; He, X.; Xia, X.; Li, N.; Wang, S.; Yang, Y.; Ding, N. Correction: Yan et al. A Real-Time Strand Breakage Detection Method for Power Line Inspection with UAVs. Drones 2023, 7, 574. Drones 2023, 7, 663. https://doi.org/10.3390/drones7110663

AMA Style

Yan J, Zhang X, Shen S, He X, Xia X, Li N, Wang S, Yang Y, Ding N. Correction: Yan et al. A Real-Time Strand Breakage Detection Method for Power Line Inspection with UAVs. Drones 2023, 7, 574. Drones. 2023; 7(11):663. https://doi.org/10.3390/drones7110663

Chicago/Turabian Style

Yan, Jichen, Xiaoguang Zhang, Siyang Shen, Xing He, Xuan Xia, Nan Li, Song Wang, Yuxuan Yang, and Ning Ding. 2023. "Correction: Yan et al. A Real-Time Strand Breakage Detection Method for Power Line Inspection with UAVs. Drones 2023, 7, 574" Drones 7, no. 11: 663. https://doi.org/10.3390/drones7110663

Article Metrics

Back to TopTop