Scholar
Siyuan Huang
Google Scholar ID: QNkS4KEAAAAJ
Shanghai AI Lab && SJTU && MMLab CUHK
Citations & Impact
Citations
1,829
H-index
17
i10-index
18
Publications
20
Co-authors
3
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Developed a Thermal-Inertial Odometry framework to enable stable and robust motion estimation in visually-degraded environments, like dark evenings.
Research Experience
- Researcher at Shanghai AI Lab working on Scenario Mining and SLAM algorithms; Algorithms researcher at SenseTime responsible for multi-sensor fusion based lane detection; Internships at HESAI and Daimler China.
Education
- Master's degree in Mechatronics and Information Technology from Karlsruher Institute of Technology, Germany. Worked with Prof. Dr.-Ing. Gert F. Trommer and M.Sc. Christopher Doer to develop a Thermal-Inertial Odometry framework for stable and robust motion estimation in visually-degraded environments, such as dark evenings.
Background
- A young researcher at Shanghai AI Lab, focusing on Scenario Mining and SLAM algorithms. Previously, an algorithms researcher at SenseTime responsible for multi-sensor fusion based lane detection. Also interned at HESAI and Daimler China.
