Yating Yuan
Papers
1
Total Citations
7
H-Index
1
About
Yating Yuan is a researcher in robotics and computer vision, with a primary focus on simultaneous localization and mapping (SLAM) in complex, dynamic environments. Her most notable contribution is the development of DOC-SLAM (Dynamic Object Culling SLAM), a robust stereo SLAM system introduced in her 2021 paper. This work addresses a critical challenge in autonomous navigation: maintaining accurate camera trajectory estimation in highly dynamic scenes. By integrating semantic information to detect and cull actual moving objects, DOC-SLAM significantly improves localization robustness where traditional methods fail. The paper has garnered 7 citations, reflecting its relevance to researchers tackling real-world SLAM deployment. Yuan’s work bridges the gap between semantic understanding and geometric mapping, offering a practical solution for autonomous vehicles and mobile robots operating in crowded, unpredictable settings. Her research underscores a commitment to making SLAM systems more resilient, directly impacting the reliability of perception in dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1DOC-SLAM: Robust Stereo SLAM with Dynamic Object Culling7 citations · 2021