Liancheng Su

Chinese Academy of Sciences, Shenyang Institute of Automation

Papers

Total Citations

H-Index

About

Liancheng Su is a robotics and computer vision researcher whose work has focused primarily on omnidirectional stereo vision systems and autonomous mobile robot navigation. His most significant contributions center on the design and development of catadioptric vision sensors — most notably the Omnidirectional Stereo Vision Optical Device (OSVOD), an innovative system that couples a standard perspective camera with two hyperbolic mirrors to achieve wide-field depth perception without the complexity of multi-camera rigs. Su's 2005 and 2006 papers, each garnering 11 citations, laid the foundational framework for using such systems to extract obstacle information omnidirectionally — a critical capability for safe autonomous robot navigation. His subsequent 2007 work extended this framework into a complete system for automatically generating panoramic depth maps in real time, emphasizing computational efficiency and geometric simplicity as key practical advantages over competing approaches. Across his body of work, Su has consistently prioritized elegant, single-camera solutions to problems that traditionally required expensive or mechanically complex hardware. While his citation counts reflect a specialized research niche, his contributions offer meaningful advances in making robust omnidirectional perception more accessible for mobile robotics applications, influencing researchers working at the intersection of computer vision and autonomous systems.