Yuming Peng

Shanghai Micro Satellite Engineering Center

Papers

Total Citations

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About

Yuming Peng is a leading researcher in autonomous navigation and image processing for deep-space exploration. His work addresses critical limitations of Earth-based radio tracking, which suffers from communication delays and low accuracy for missions beyond Earth orbit. Peng’s most cited paper, “Image Processing Algorithms For Deep-Space Autonomous Optical Navigation” (2013, 41 citations), establishes foundational techniques for enabling spacecraft to navigate independently using onboard optical sensors. This research is essential for both robotic and manned missions, where real-time, high-precision navigation is paramount. By developing robust image processing algorithms that extract navigation data from celestial imagery, Peng has directly contributed to the feasibility of autonomous deep-space operations. His work bridges computer vision and aerospace engineering, offering practical solutions for trajectory estimation and hazard avoidance. With a focus on reducing reliance on ground-based systems, Peng’s contributions are pivotal for the next generation of interplanetary exploration, ensuring spacecraft can navigate safely and accurately in the vast, communication-limited expanse of deep space.