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Interactive spacecraft rendezvous & proximity operations mission planner with 3D visualization. Implements Koenig-Guffanti-D'Amico (2017) state transition matrices for ROE propagation with J2 and drag perturbations.
Hopefully this will be a stable, helpful, open source of validated guidance, navigation, dynamics, and control code functionality, all written in Python.
A lightweight, Python-based prototype for autonomous collision avoidance in low-Earth orbit using a supervised imitation approach (oracle → neural network) with 3D visualization.
Scalar Magnitudes are invariant quantities that conserve their value and form under transformations of translation and rotation, or changes between coordinate systems (Cartesian, polar, spherical, etc.)
Comparing relative motion models for spacecraft formation flying in eccentric orbits: Wang-Yang closed-form, EROE linear plant, and Cowell truth propagator with J2/SRP perturbations and passive safety screening.