YOLOv8-CVIFB: A Fast Object Detection Algorithm for UAV Power Patrol Based on YOLOv8 Heterogeneous Image Fusion-Reference-Cited by-同舟云学术

YOLOv8-CVIFB: A Fast Object Detection Algorithm for UAV Power Patrol Based on YOLOv8 Heterogeneous Image Fusion

Published:2024-04-11 Issue: Volume:45 Page:1328-1333
ISSN:
Container-title:2024 9th Asia Conference on Power and Electrical Engineering (ACPEE)
language:
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Author:

Wei Ze¹,Dong Chaoyi²,Zhang Zhiming³,Chen Xiaoyan⁴,Lei Dongyang³,Xue Yao³

Affiliation:

1. Inner Mongolia University of Technology Intelligent Energy Technology and Equipment Engineering Research Centre of Colleges and Universities in Inner Mongolia Autonomous Region,Hohhot,China

2. Inner Mongolia University of Technology Intelligent Energy Technology and Equipment Engineering Research Centre of Colleges and Universities in Inner Mongolia Autonomous Region,Engineering Research Center of Large Energy Storage Technology, Ministry of Education,Hohhot,China

3. College of Electric Power, Inner Mongolia University of Technology Intelligent Energy Technology and Equipment Engineering Research Centre of Colleges and Universities in Inner Mongolia Autonomous Region,Hohhot,China

4. College of Electric Power, Inner Mongolia University of Technology Intelligent Energy Technology and Equipment Engineering Research Centre of Colleges and Universities in Inner Mongolia Autonomous Region,Engineering Research Center of Large Energy Storage Technology, Ministry of Education,Hohhot,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10532251/10532216/10532772.pdf?arnumber=10532772

Reference12 articles.

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4. Intelligent identification system for power equipment defects based on unmanned aerial vehicle inspection image technology” [J];Mao;Energy and Environmental Protection,2021

5. Overview of Application of Deep Learning Based Object Detection Algorithms in Electric Power Inspection”[J];Ke;Guangxi Electric Power,2022