Correction: Yan et al. A Real-Time Strand Breakage Detection Method for Power Line Inspection with UAVs. <i>Drones</i> 2023, <i>7</i>, 574
In the published work [...]
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-11-01
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| Series: | Drones |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-446X/7/11/663 |
| _version_ | 1797459531936038912 |
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| author | Jichen Yan Xiaoguang Zhang Siyang Shen Xing He Xuan Xia Nan Li Song Wang Yuxuan Yang Ning Ding |
| author_facet | Jichen Yan Xiaoguang Zhang Siyang Shen Xing He Xuan Xia Nan Li Song Wang Yuxuan Yang Ning Ding |
| author_sort | Jichen Yan |
| collection | DOAJ |
| description | In the published work [...] |
| first_indexed | 2024-03-09T16:53:43Z |
| format | Article |
| id | doaj.art-5aa761d1a8274264824d2b86b32cf60f |
| institution | Directory Open Access Journal |
| issn | 2504-446X |
| language | English |
| last_indexed | 2024-03-09T16:53:43Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Drones |
| spelling | doaj.art-5aa761d1a8274264824d2b86b32cf60f2023-11-24T14:38:08ZengMDPI AGDrones2504-446X2023-11-0171166310.3390/drones7110663Correction: Yan et al. A Real-Time Strand Breakage Detection Method for Power Line Inspection with UAVs. <i>Drones</i> 2023, <i>7</i>, 574Jichen Yan0Xiaoguang Zhang1Siyang Shen2Xing He3Xuan Xia4Nan Li5Song Wang6Yuxuan Yang7Ning Ding8Institute of Robotics and Intelligent Manufacturing, The Chinese University of Hong Kong (Shenzhen), Shenzhen 518172, ChinaInstitute of Robotics and Intelligent Manufacturing, The Chinese University of Hong Kong (Shenzhen), Shenzhen 518172, ChinaInstitute of Robotics and Intelligent Manufacturing, The Chinese University of Hong Kong (Shenzhen), Shenzhen 518172, ChinaInstitute of Robotics and Intelligent Manufacturing, The Chinese University of Hong Kong (Shenzhen), Shenzhen 518172, ChinaInstitute of Robotics and Intelligent Manufacturing, The Chinese University of Hong Kong (Shenzhen), Shenzhen 518172, ChinaInstitute of Robotics and Intelligent Manufacturing, The Chinese University of Hong Kong (Shenzhen), Shenzhen 518172, ChinaCSG Electric Power Research Institute Co., Ltd., Guangzhou 510663, ChinaCSG Electric Power Research Institute Co., Ltd., Guangzhou 510663, ChinaInstitute of Robotics and Intelligent Manufacturing, The Chinese University of Hong Kong (Shenzhen), Shenzhen 518172, ChinaIn the published work [...]https://www.mdpi.com/2504-446X/7/11/663n/a |
| spellingShingle | Jichen Yan Xiaoguang Zhang Siyang Shen Xing He Xuan Xia Nan Li Song Wang Yuxuan Yang Ning Ding Correction: Yan et al. A Real-Time Strand Breakage Detection Method for Power Line Inspection with UAVs. <i>Drones</i> 2023, <i>7</i>, 574 Drones n/a |
| title | Correction: Yan et al. A Real-Time Strand Breakage Detection Method for Power Line Inspection with UAVs. <i>Drones</i> 2023, <i>7</i>, 574 |
| title_full | Correction: Yan et al. A Real-Time Strand Breakage Detection Method for Power Line Inspection with UAVs. <i>Drones</i> 2023, <i>7</i>, 574 |
| title_fullStr | Correction: Yan et al. A Real-Time Strand Breakage Detection Method for Power Line Inspection with UAVs. <i>Drones</i> 2023, <i>7</i>, 574 |
| title_full_unstemmed | Correction: Yan et al. A Real-Time Strand Breakage Detection Method for Power Line Inspection with UAVs. <i>Drones</i> 2023, <i>7</i>, 574 |
| title_short | Correction: Yan et al. A Real-Time Strand Breakage Detection Method for Power Line Inspection with UAVs. <i>Drones</i> 2023, <i>7</i>, 574 |
| title_sort | correction yan et al a real time strand breakage detection method for power line inspection with uavs i drones i 2023 i 7 i 574 |
| topic | n/a |
| url | https://www.mdpi.com/2504-446X/7/11/663 |
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