Yunde Jia

Beijing Institute of Technology

Papers

14

Total Citations

125

H-Index

6

About

Yunde Jia is a leading researcher in computer vision and robotics, with a focus on stereo vision systems, telepresence robots, and real-time depth mapping. His major contributions include the development of the miniature stereo vision machine (MSVM-III), a compact FPGA-based system that generates high-resolution dense disparity maps at video rate using trinocular cameras, enabling autonomous navigation for mobile robots. This work, cited over 30 times, laid the foundation for practical, low-cost 3D sensing. Jia has also advanced telepresence technology, creating frameworks for person-following robots and wheelchair systems that integrate web cameras and touchscreen interfaces to enhance remote interaction. His notable achievements include stitching videos from fisheye and wide-angle lenses to improve situational awareness, and single-shot extrinsic calibration for RGB-D cameras, cited for its utility in mixed reality. With over 100 total citations across his top papers, Jia’s research bridges hardware and software innovations, making real-time depth perception and intuitive telepresence accessible for assistive robotics and human-robot interaction.

Research Focus

Key Achievements

6
H-Index
14
Papers
125
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
A miniature stereo vision machine (MSVM-III) for dense disparity mapping
31 citations · 2004
📈 Most Prolific Year: 2019 (3 Papers)
🤝 Key Collaborators: 33
🏛 Institutions: Beijing Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago