Shuwei Gan

Academy of Military Medical Sciences, Sun Yat-sen University

Papers

Total Citations

H-Index

About

Shuwei Gan is a researcher specializing in computer vision, multi-camera systems, and autonomous aerial robotics. Their work focuses on solving critical challenges in 3D spatial perception, particularly for human pose estimation and motion tracking. Gan’s major contribution includes developing an auto-calibration method for multi-camera systems that eliminates the need for traditional checkerboard patterns, enabling more flexible and accurate 3D human pose estimation—a foundational technique for applications in augmented reality and robotics. Additionally, Gan pioneered a multi-UAV (unmanned aerial vehicle) system for 3-D motion trajectory measurement, allowing dynamic targets to be tracked in real-time from aerial platforms, with implications for surveillance, sports analytics, and search-and-rescue operations. With over 13 combined citations on these two key papers, Gan’s work has already influenced the fields of spatial computing and autonomous navigation. Their research stands out for its practical, deployment-ready approaches that bridge the gap between laboratory calibration and real-world, unconstrained environments—making it especially valuable for students and engineers building next-generation perception systems.