Abnormal Object Detection with an Improved YOLOv8 in the Transmission Lines
Author:
Affiliation:
1. Guilin University of Technology,Department of Mechanical and Control Engineering,Guilin,China,541006
2. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences,Shenzhen,China,518055
Funder
National Natural Science Foundation of China
Shenzhen Science and Technology Innovation Commission Project
Guangdong Basic and Applied Basic Research Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10450150/10449968/10451095.pdf?arnumber=10451095
Reference27 articles.
1. End-to-End Insulator String Defect Detection in a Complex Background Based on a Deep Learning Model
2. A Deep Learning Method to Detect Foreign Objects for Inspecting Power Transmission Lines
3. Robust real-time UAV based power line detection and tracking
4. A Review on State-of-the-Art Power Line Inspection Techniques
5. Key Parts of Transmission Line Detection Using Improved YOLO v3
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