Automatic Inspection Drone with Deep Learning-based Auto-tracking Camera Gimbal to Detect Defects in Power Lines
Author:
Affiliation:
1. Power Transmission Laboratory, KEPCO Research Institute, Daejeon, Republic of Korea
2. School of Energy System Eng., Chung-Ang University, Seoul, Republic of Korea
Publisher
ACM
Reference12 articles.
1. https://pjreddie.com/darknet/imagenet/ https://pjreddie.com/darknet/imagenet/
2. J.-H. Lee Operational standards for overhead power transmission lines (29th revision 2017) Transmission & Substation Operation Department of KEPCO. J.-H. Lee Operational standards for overhead power transmission lines (29th revision 2017) Transmission & Substation Operation Department of KEPCO.
3. YOLO9000: Better, Faster, Stronger
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