Luping An
Papers
3
Total Citations
56
H-Index
3
About
Luping An is a pioneering researcher in real-time stereo vision and autonomous robotics, best known for developing compact, high-performance stereo vision systems for miniature platforms. His key research areas include embedded computer vision, FPGA-based real-time depth mapping, and autonomous navigation for small mobile robots. An’s most significant contribution is the creation of the Miniature Stereo Vision Machine (MSVM-III), a trinocular system that uses a single FPGA chip to compute dense disparity maps at video rate—a breakthrough in balancing computational efficiency with hardware miniaturization. His seminal 2004 paper on the MSVM-III, which has garnered 31 citations, demonstrates how trinocular rectification, LoG filtering, and area-based matching can be integrated into a compact, real-time machine. Building on this, An extended his work to autonomous navigation, as shown in his 2004 study on a Lynx Hexapod robot guided by the MSVM-III, cited 8 times. With over 56 total citations across his most-cited works, An’s research has laid critical groundwork for embedded vision systems in robotics, enabling real-time 3D perception in space- and power-constrained environments. His achievements highlight the practical fusion of hardware design and algorithmic efficiency, inspiring advances in autonomous drones, inspection robots, and portable depth sensors.
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
- 3