Chuanyu Pan
Papers
1
Total Citations
10
H-Index
1
About
Chuanyu Pan is a leading researcher in computer vision and augmented reality, with a primary focus on advancing 3D object tracking and digital twin technologies. His most notable contribution is the creation of the Digital Twin Tracking Dataset (DTTD), a pioneering RGB+Depth 3D dataset designed to enable longer-range object tracking for augmented reality, autonomous systems, and user interface applications. This work addresses a critical gap in existing tracking methods, which often falter over extended distances, and has already garnered 10 citations since its 2023 publication. Pan’s research emphasizes the seamless integration of real and digital objects, a cornerstone for next-generation AR experiences and autonomous navigation. By providing a robust benchmark for evaluating tracking algorithms, his dataset has become a valuable resource for the community. Pan’s achievements highlight his commitment to solving practical challenges in real-time 3D perception, making him a rising figure in the field. His work continues to inspire students and researchers exploring the intersection of digital twins, depth sensing, and interactive systems.
Research Focus
Key Achievements
Top Papers
- 1