Power Transmission Lines Foreign Object Intrusion Detection Method for Drone Aerial Images Based on Improved YOLOv8 Network

Power Transmission Lines Foreign Object Intrusion Detection Method for Drone Aerial Images Based on Improved YOLOv8 Network

With the continuous growth of electricity demand, the safety and stability of transmission lines have become increasingly important. To ensure the reliability of power supply, it is essential to promptly detect and address foreign object intrusions on transmission lines, such as tree branches, kites...

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Bibliographic Details
Main Authors: Hongbin Sun, Qiuchen Shen, Hongchang Ke, Zhenyu Duan, Xi Tang
Format: Article
Language:English
Published: MDPI AG 2024-07-01
Series:Drones
Subjects:
transmission lines
foreign object intrusion
YOLOv8
Swin transformer
AFPN
loss function
Online Access:https://www.mdpi.com/2504-446X/8/8/346

Internet

https://www.mdpi.com/2504-446X/8/8/346

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