Mingyun Fan

China University of Mining and Technology

Papers

Total Citations

H-Index

About

Mingyun Fan is a researcher focused on robotics and computer vision, with a particular emphasis on rescue and disaster-response applications. His most-cited work, "Research on stereo vision matching algorithm for rescue robot" (2017), addresses a critical challenge in post-accident scenarios, such as coal mine gas explosions, where narrow underground tunnels and limited access demand rapid, real-time environmental feedback for effective rescue operations. This paper has garnered 5 citations, reflecting its niche but vital contribution to improving robotic perception in hazardous, confined spaces. Fan’s research integrates stereo vision algorithms to enhance robot navigation and object localization, directly supporting life-saving missions. While his citation count is modest, the practical relevance of his work underscores its importance in advancing autonomous systems for emergency response. His achievements highlight a commitment to bridging computer vision and robotics for real-world safety challenges, making his research a valuable resource for students and engineers developing technologies for high-risk environments.