Papers
1
Total Citations
25
H-Index
1
About
Cui Xu is a researcher whose work sits at the intersection of computer vision, robotics, and autonomous systems, with a particular focus on enabling precise, real-time navigation for unmanned aerial vehicles. His most cited work, "Stereo Vision based Relative Pose and Motion Estimation for Unmanned Helicopter Landing" (2006, 25 citations), addresses a critical challenge in autonomous flight: landing an unmanned helicopter on a moving target, such as a ship deck. In this foundational paper, Xu developed a real-time stereo vision system that integrates feature extraction with pose and motion estimation, allowing the aircraft to accurately perceive its relative position and velocity. This contribution is notable for its practical application in dynamic, GPS-denied environments, laying early groundwork for vision-based autonomous landing systems. While his citation count reflects a focused, niche impact, the work demonstrates a deep understanding of sensor fusion and real-time processing constraints. Xu’s research is particularly relevant for students and engineers interested in the intersection of computer vision and field robotics, offering a clear example of how theoretical algorithms can be translated into robust, real-world solutions for autonomous vehicle control.
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Top Papers
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