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
Top Papers
- 1
- 2
- 33D Perception and Reconstruction System Based on 2D Laser Scanner3 citations · 2018
- 4Using KCF and face recognition for outdoor target tracking UAV3 citations · 2019
- 5