Yongcai Guo

Chongqing University, Chongqing University of Technology

Papers

Total Citations

H-Index

About

Yongcai Guo is a researcher specializing in optical sensing, image processing, and structural health monitoring, with a particular focus on infrastructure inspection and robotics. His most impactful work, "Cable surface damage detection in cable-stayed bridges using optical techniques and image mosaicking" (2018), has garnered 65 citations, pioneering a non-destructive method that combines high-resolution imaging and mosaic stitching to identify surface defects on bridge cables—a critical advancement for aging infrastructure safety. This contribution demonstrates his ability to integrate optical techniques with computational algorithms for real-world engineering challenges. Additionally, his research extends to mobile robotics, as seen in "Human segmentation of infrared image for mobile robot search" (2017, 18 citations), where he developed thermal imaging-based human detection methods to enhance autonomous search-and-rescue operations. Guo’s work bridges the gap between theoretical image analysis and practical applications, offering scalable solutions for infrastructure monitoring and robotic perception. His achievements highlight a commitment to improving safety and efficiency in civil engineering and robotics, making his research valuable for students and engineers working at the intersection of optics, computer vision, and structural assessment.