Papers

5

Total Citations

88

H-Index

3

About

Dr. Yanhua Shao is a leading researcher at the intersection of computer vision, structural health monitoring, and intelligent robotics. Her work is defined by a unique ability to adapt and apply advanced optical and computational techniques to solve critical real-world problems, from infrastructure safety to agricultural automation. Her most impactful contribution, "Cable surface damage detection in cable-stayed bridges using optical techniques and image mosaicking" (2018), has garnered 65 citations, establishing a foundational method for non-destructive bridge inspection. This work exemplifies her talent for translating complex imaging algorithms into practical engineering solutions. Dr. Shao has also made significant strides in 3D perception for robotics, developing a system for surface reconstruction using a 2D laser scanner, which is vital for robot motion control and manufacturing. Her research portfolio extends to dynamic outdoor environments, with work on target-tracking algorithms for UAVs, and to precision agriculture, where she devised a novel method for segmenting apple targets in complex orchard scenes. Through these diverse contributions, Dr. Shao demonstrates a consistent commitment to pushing the boundaries of how machines see and interact with the physical world.

Research Focus

Key Achievements

3
H-Index
5
Papers
88
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Cable surface damage detection in cable-stayed bridges using optical techniques and image mosaicking
65 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: Chongqing University, Southwest University of Science and Technology, Northwest A&F University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago