Ruikun Lu

Nanjing University of Aeronautics and Astronautics

Papers

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About

Ruikun Lu is a leading researcher in autonomous navigation systems, with a primary focus on image processing algorithms for deep-space exploration. His most-cited work, "Image Processing Algorithms For Deep-Space Autonomous Optical Navigation" (2013, 41 citations), addresses a critical challenge in space missions: the limitations of Earth-based radio tracking due to communication delays and low accuracy. Lu’s contributions center on developing robust optical navigation techniques that enable spacecraft to autonomously determine their position using onboard imagery—a capability essential for both robotic and crewed missions beyond Earth orbit. By advancing the precision and reliability of image-based navigation, his research directly supports the feasibility of long-duration deep-space travel, where real-time ground control is impractical. Lu’s work has been instrumental in shaping autonomous navigation strategies for next-generation space exploration, earning recognition for its practical impact on mission design. His achievements underscore a commitment to solving fundamental problems in aerospace engineering, making him a notable figure in the field.