Innovative Methods for Space Navigation
Tracks
Conference Room A
Friday, May 23, 2025 |
11:40 AM - 12:45 PM |
Conference Room A |
Details
Chairs: Krzysztof Sośnica
Speaker
Mr. Daniel Chadwick
PhD Student
University Of Liverpool
Estimation of gravity gradients using deep learning for efficient positioning with a quantum sensor
11:45 AM - 12:05 PMBiography
Daniel Chadwick is a PhD student in the Department of Electrical Engineering and Electronics at the University of Liverpool, sponsored by Raytheon UK. His research focuses on parallel processing, machine learning, and data fusion techniques for inertial navigation systems.
Dr. Junjie Zhou
Student
Beihang University
Orthogonal Moment Based 3D Terrain Matching for Lunar Landing
12:05 PM - 12:25 PMBiography
My name is Zhou Junjie, a Ph.D. candidate at Beihang University (BUAA), specializing in terrain matching algorithms based on invariant moments. My current research focuses on developing robust and efficient algorithms for terrain matching using orthogonal moments, specifically in the context of lunar landing applications. This work involves comparing different moment-based approaches, such as Zernike moments, Orthogonal Fourier-Mellin Moments, and GPCET, with a focus on improving accuracy and robustness under varying conditions.
Mr. Yu Hu
Mr.
College of Aerospace Science and Engineering National University of Defense Technology
Prediction of UT1-UTC Using Least-Squares and Singular Spectrum Analysis Model
12:25 PM - 12:45 PMBiography
Hu Yu received the B.S. degree in Flight Vehicle Design and Manufacturing Engineering from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2021. He is currently working toward the Ph.D. degree in Aerospace Science and Technology with the School of National University of Defense Technology, Changsha, China. His research interests include high accuracy prediction of Earth rotation parameters and autonomous navigation of spacecraft.
