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Drones
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7 November 2023

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

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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

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]
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