Zhengyin Zhou

Papers

Total Citations

H-Index

About

Zhengyin Zhou is a researcher specializing in autonomous mobile robotics and computer vision, with a particular focus on navigation and environmental perception in complex, unstructured settings. His work addresses critical challenges in enabling robots to operate safely and effectively in both indoor and outdoor environments. Zhou’s most cited paper, "Corridor Navigation and Obstacle Distance Estimation for Monocular Vision Mobile Robots" (2011, 15 citations), presents a practical solution for indoor robot navigation using monocular vision, employing Hough transform to identify corridors and estimate obstacle distances—a foundational contribution to low-cost, vision-based autonomy. He further advanced field robotics with his work on "Wild Environment Water Hazards Detection Based on Polarization Information of Image" (2013, 2 citations), which leverages the physical principles of polarized light to detect water hazards in natural terrains, a novel approach for enhancing safety in military and intelligent traffic applications. Though his citation counts are modest, Zhou’s research demonstrates a clear trajectory from structured indoor navigation to robust outdoor hazard detection, highlighting his commitment to solving real-world perception problems. His work remains relevant for students and researchers exploring monocular vision and polarization-based sensing for autonomous systems.