Xi Yuan Chen
Papers
1
Total Citations
2
H-Index
1
About
Xi Yuan Chen is a researcher whose work centers on the fusion of computer vision and inertial navigation for autonomous mobile robotics, with a particular emphasis on indoor environments. His most notable contribution is the development of an optical flow-based monocular vision and inertial navigation system (INS) integrated navigation algorithm, which enables mobile robots to estimate velocity and position using a downward-looking camera. This approach, detailed in his 2014 paper, addresses the critical challenge of reliable localization in GPS-denied settings. By leveraging optical flow from image sequences, Chen’s method enhances navigation accuracy and robustness, offering a practical solution for indoor robot autonomy. While his work has garnered over 2 citations, its significance lies in its foundational role for low-cost, vision-aided navigation systems. Chen’s research bridges the gap between theoretical computer vision and real-world robotic applications, making his contributions valuable for students and engineers exploring sensor fusion, autonomous navigation, and indoor robotics.
Research Focus
Key Achievements
Top Papers
- 1