Machine Learning for Satellite Collision Avoidance

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With an increasing number of satellites and debris objects in earth orbit it becomes increasingly important to automate and improve procedures for collision avoidance. We develop machine learning tools for predicting the collision probability of satellites.

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German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz