Yihe Yin
Papers
3
Total Citations
78
H-Index
3
About
Yihe Yin is a leading researcher in structural health monitoring and computer vision, specializing in the development of advanced multi-camera systems for large-scale infrastructure deformation measurement. His work addresses critical challenges in monitoring long-span bridges during both service and construction phases, where traditional sensors fail due to range limitations or dynamic conditions. Yin’s key contributions include the design of a camera network system (CNS) for multipoint deflection monitoring of large-span bridges, which compensates for camera motion-induced errors using cooperative markers and infrared illumination (37 citations). He also pioneered a nonoverlapping field-of-view multi-camera approach that achieves high-precision displacement measurement under six degrees of freedom ego-motion (35 citations), significantly expanding the applicability of vision-based monitoring. Most recently, his scalable multi-camera system (S-MCS) enables real-time deformation tracking of long-span arch bridges during construction, overcoming the scalability limitations of robotic total stations and single-camera setups. With over 78 combined citations across his most influential works, Yin’s research has profound implications for ensuring the safety and longevity of critical infrastructure, offering cost-effective, high-accuracy solutions that are transforming structural monitoring practices worldwide.
Research Focus
Key Achievements
Top Papers
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