Xiaoxun Zhang
Papers
3
Total Citations
56
H-Index
3
About
Xiaoxun Zhang’s research centers on real-time stereo vision systems for autonomous robotics, with a particular focus on miniature, high-performance hardware solutions. His major contribution is the development of the MSVM-III (Miniature Stereo Vision Machine), a compact trinocular system that uses a single FPGA chip to compute dense disparity maps at video rates. This innovation enabled robots to perceive depth in real time, a critical capability for autonomous navigation. Zhang’s work is exemplified by his most-cited paper, “A miniature stereo vision machine (MSVM-III) for dense disparity mapping” (2004, 31 citations), which details the system’s efficient trinocular rectification and area-based matching. He further demonstrated its practical impact in “Autonomous navigation of a miniature mobile robot using real-time trinocular stereo machine” (2004, 8 citations), where the MSVM-III was integrated with a Lynx Hexapod robot for autonomous movement. With over 56 citations across his key works, Zhang’s contributions to embedded vision and robotic perception have laid a foundation for compact, real-time depth sensing, influencing both hardware design and autonomous systems research.
Research Focus
Key Achievements
Top Papers
- 1A miniature stereo vision machine (MSVM-III) for dense disparity mapping31 citations · 2004
- 2A Miniature Stereo Vision Machine for Real-Time Dense Depth Mapping17 citations · 2003
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