Shangmeng He

China University of Mining and Technology

Papers

Total Citations

H-Index

About

Shangmeng He is a researcher focused on intelligent robotics and computer vision, particularly in the context of post-disaster rescue operations. His most cited work, “Research on stereo vision matching algorithm for rescue robot” (2017), addresses a critical challenge in mine safety: after coal mine gas explosions, narrow underground tunnels hinder rapid rescue. He proposed a real-time stereo vision matching algorithm that enables robots to autonomously perceive and navigate hazardous environments, providing essential environmental feedback for locating survivors. With 5 citations, this foundational study underscores his contribution to enhancing robotic autonomy in life-threatening scenarios. He’s also explored related areas such as 3D reconstruction and sensor fusion for mobile robots. His research bridges the gap between theoretical computer vision and practical emergency response, offering scalable solutions for disaster robotics. By advancing real-time detection and spatial mapping in confined spaces, Shangmeng He’s work supports the development of more resilient rescue systems, ultimately aiming to save lives through smarter, faster robotic intervention.