Qihao Sun
Papers
1
Total Citations
14
H-Index
1
About
Qihao Sun is a researcher advancing the frontier of visual simultaneous localization and mapping (SLAM) by integrating deep learning with dynamic scene understanding. His key research areas include deep visual SLAM, dynamic object tracking, and robust perception for autonomous systems. Sun’s major contribution is the development of DVDS (Deep Visual Dynamic SLAM System), a pioneering framework that fuses deep neural networks with traditional SLAM pipelines to handle moving objects in real-world environments—a critical challenge for robotics and augmented reality. This work, published in 2024, has already garnered 14 citations, signaling its timely impact on the field. By enabling accurate localization and mapping in dynamic scenes, Sun’s research addresses a long-standing limitation of conventional SLAM systems, which assume static surroundings. His approach not only improves robustness but also opens new possibilities for autonomous navigation in crowded or unpredictable settings. With a focus on practical, deployable solutions, Qihao Sun is shaping the next generation of intelligent perception systems.
Research Focus
Key Achievements
Top Papers
- 1DVDS: A deep visual dynamic slam system14 citations · 2024