Papers
1
Total Citations
17
H-Index
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About
Le Pan is a researcher specializing in space robotics and computer vision, with a particular focus on autonomous pose determination for non-cooperative satellites. His most cited work, "A monocular structured light vision method for pose determination of large non-cooperative satellites" (2016, 17 citations), introduces an innovative approach that combines monocular imaging with structured light projection to accurately estimate the position and orientation of large, uncooperative spacecraft—a critical capability for on-orbit servicing, debris removal, and satellite docking. This method addresses key challenges in space environments, such as varying illumination and lack of prior target models, offering a robust solution for real-time navigation. Pan’s contributions have implications for advancing autonomous space operations, with his work cited by researchers in aerospace engineering and computer vision. His research bridges theoretical vision algorithms with practical space applications, making him a notable figure in the field of space robotics.
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Top Papers
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