The course offers a thorough overview on the emerging topic of deep learning for computer vision and egomotion estimation. Such technique is extremely useful to carry out the task of spacecraft relative navigation in proximity operations, e.g. during planetary approaches, landing or rendezvous. The course is intended to provide a solid theoretical knowledge together with the exploration of the latest state-of-the-art techniques.

The seminar is organized in lectures, demos and small workshops. Lectures are passive (from the student’s point of view). Demo sessions are used to demonstrate and run state-of-the-art implementation of some algorithms. Workshop sessions are used to get acquainted with the most famous CV and DL libraries (openCV, pyTorch, etc.).

Learning objectives: Introduction to Computer Vision, Introduction to Deep Learning, Convolutional Neural Networks, Multi-view geometry and Relative Navigation

Target audience: doctoral and master students, non-academic professionals.

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