The all-vs-all problem, for which conjunctions are screened for over all possible sets of
catalogued objects, is crucial for space traffic management and space situational …

This paper presents a novel methodology for improving the performance of machine
learning based space traffic management tasks through the use of a pre-trained orbit model …

In the face of increasing space traffic, the deployment of large constellations, and a growing
debris field, identifying potentially catastrophic collisions is an increasingly daunting and …

This paper presents a proof of concept for the application of artificial intelligence (AI) to the
problem of efficient, catalogue-wide conjunction screening. Framed as a machine learning …

The ability to simulate the behavior of different sensor configurations is critical for the
development of a sensor network that provides data for Space Surveillance and Tracking …

The number of human-made objects orbiting the Earth is growing steadily. This trend is
further accelerating during recent years due to increasing commercialization in the field of …

The ability to simulate the behavior of different sensor configurations is critical for the
development of a sensor network that provides data for Space Surveillance and Tracking …

The progressive increase of traffic in space demands new approaches for supporting
automatic and robust operational decisions. CASSANDRA, Computational Agent for Space …

The ability to study the performance of different sensor configurations is crucial for the
development of any sensor network that provides data for Space Surveillance and Tracking …

The EU SST programme evolved into a fully-fledged component of the European Union
Space Programme adopted on April 28, 2021, after it has been set up in 2016 on the basis …