Yiquan Wu
Papers
1
Total Citations
12
H-Index
1
About
Dr. Yiquan Wu is a leading researcher at the intersection of unmanned aerial vehicle (UAV) technology and electrical power infrastructure, with a primary focus on power line detection and autonomous inspection systems. His most influential work, "The growth of UAV aerial images-related power lines detection: a literature review of 2023," has garnered 12 citations and provides a comprehensive synthesis of nearly a decade of research in this critical field. Dr. Wu's major contribution lies in systematically analyzing the evolution from traditional image processing techniques to deep learning approaches for power line detection, addressing the fundamental challenges of autonomous navigation, low-altitude obstacle avoidance, and transmission line safety. His work has been instrumental in advancing China's transition to the "machine inspection first, manual inspection supplement" operational model for power grid maintenance. By establishing a clear framework for understanding power line characteristics and detection methodologies, Dr. Wu has helped shape the direction of research in UAV-based electrical infrastructure monitoring. His review serves as an essential reference for researchers and engineers working to improve the reliability and efficiency of power line inspection systems through machine vision and artificial intelligence.
Research Focus
Key Achievements
Top Papers
- 1