Papers
18
Total Citations
255
H-Index
8
About
Congyi Lyu is a versatile robotics and computer vision researcher whose work spans 3D optical sensing, autonomous robotic systems, and real-time image processing. Best known for contributions to high-speed and high-precision 3D surface reconstruction, Lyu has developed innovative frameworks for measuring complex surfaces — including transparent and highly reflective objects — that pose notorious challenges for conventional sensing systems. His 2020 paper on high-speed optical 3D measurement sensors for industrial applications has garnered 45 citations, reflecting strong community interest in his practical, industry-oriented solutions. Closely related work on transparent object reconstruction using the LTFtF method (44 citations) and active stereo reconstruction using multistep matching further cement his reputation in structured light and stereo vision research. Beyond optical sensing, Lyu has made notable contributions to autonomous robotics, including Wi-Fi relay placement with mobile robots (33 citations) and the design of a novel screw-drive in-pipe robot for inspection tasks (29 citations). Early work on FPGA-based parallel hardware for real-time SIFT feature detection demonstrates his breadth across hardware and software domains. With over 220 cumulative citations, Lyu's research consistently bridges fundamental computer vision methods with demanding real-world industrial and robotic applications.
Research Focus
Key Achievements
Top Papers
- 1High-Speed Optical 3D Measurement Sensor for Industrial Application45 citations · 2020
- 2
- 3Autonomous Wi-Fi Relay Placement With Mobile Robots33 citations · 2017
- 4Design and analysis of a novel active screw-drive pipe robot29 citations · 2018
- 5Active Stereo 3-D Surface Reconstruction Using Multistep Matching23 citations · 2020
- 6FPGA-based parallel hardware architecture for SIFT algorithm19 citations · 2016
- 7
- 8Active screw-driven in-pipe robot for inspection9 citations · 2017
- 9
- 10