Mingxiang Li
Papers
3
Total Citations
60
H-Index
3
About
Mingxiang Li is a pioneering researcher in embedded computer vision and autonomous robotics, with a focus on real-time stereo vision systems for small-scale platforms. His major contributions center on the development of compact, high-performance stereo vision machines that enable dense depth mapping and obstacle detection at video rates. Notably, Li created the MSVM-III, a miniature trinocular stereo vision system using a single FPGA chip to perform rectification, filtering, and area-based matching—a breakthrough that achieved dense disparity mapping with only 31 citations but foundational impact. He further advanced the field with the Stereo Vision System on Programmable Chip (SVSoC), integrating three CMOS cameras and FPGA-based parallel computing for small robot navigation, earning 21 citations. Li’s work on autonomous navigation, demonstrated through a Lynx Hexapod robot equipped with his trinocular stereo machine, showcases the practical application of his algorithms in real-time obstacle avoidance and path planning. With key papers spanning from 2004 to 2006, Li’s research remains a cornerstone for engineers building efficient, low-power vision systems for mobile robots, inspiring continued innovation in embedded AI and autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1A miniature stereo vision machine (MSVM-III) for dense disparity mapping31 citations · 2004
- 2Stereo Vision System on Programmable Chip (SVSoC) for Small Robot Navigation21 citations · 2006
- 3