Header image

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 & Lotfi Massarweh


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 PM

Biography

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 PM

Biography

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.
loading