A lightweight, Python-based prototype for autonomous collision avoidance in low-Earth orbit using a supervised imitation approach (oracle → neural network) with 3D visualization.
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Updated
Aug 24, 2025 - Jupyter Notebook
A lightweight, Python-based prototype for autonomous collision avoidance in low-Earth orbit using a supervised imitation approach (oracle → neural network) with 3D visualization.
TypeScript library for spacecraft relative motion propagation. Implements Yamanaka-Ankersen (elliptical orbits) and Clohessy-Wiltshire (circular orbits) state transition matrices with RIC/LVLH frame support.
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