Jianqiao Xu
Papers
1
Total Citations
9
H-Index
1
About
Jianqiao Xu is a leading researcher in the fields of autonomous navigation, visual-inertial sensing, and dynamic object reconstruction. His work focuses on pushing the boundaries of how mobile robots perceive and interact with their environment, particularly when faced with moving or unknown objects. A major contribution is his pioneering research on fusing monocular camera data with inertial measurement units (IMUs) to enable the metric 3D reconstruction of rotating objects, such as space debris—a critical challenge for space situational awareness. His 2022 paper on this topic, which has garnered 9 citations, provides foundational observability analyses for this complex sensing problem. By addressing the limitations of traditional visual-inertial odometry, which struggles with dynamic scenes, Xu’s work is paving the way for more robust and versatile autonomous systems. His research holds significant promise for applications ranging from planetary exploration to industrial robotics, where understanding and interacting with moving objects is essential.
Research Focus
Key Achievements
Top Papers
- 1