AI tool detects unusual satellite behavior to improve space safety
Researchers have developed an AI model capable of monitoring satellite behavior by analyzing light reflections to detect anomalies. This tool aims to improve space safety and prevent collisions in an increasingly crowded orbital environment.
Why it matters
As space becomes more congested with commercial and government satellites, automated safety tools are essential for preventing catastrophic orbital debris events.
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Add as preferred source Credit: University of Strathclyde, Glasgow A new AI model can monitor satellites and spot anomalies in their behavior, reducing the risk of in-orbit collisions, according to new research published in the journal Expert Systems .
The work was carried out as part of AI4 Space Safety and Sustainability, a UK Space Agency International Bilateral fund consortium across FVEY countries—Australia, Canada, New Zealand, the United Kingdom and the United States.
The project is led by professor Massimiliano Vasile, director of the Aerospace Centre of Excellence at the University of Strathclyde, the Alan Turing Institute, the University of Arizona, MIT, the University of Waterloo, and industry partners GMV, Columbiad, LMO and Zendir.
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