AI Research
Early Prediction of Satellite Collision Probability Using a Hybrid TCN-Transformer Model for a CDM-Based Conjunction Analysis Framework
Advancing orbital safety through hybrid neural architectures for collision mitigation
The rapid expansion of operational satellites and orbital debris has increased the frequency of close approach events in low Earth orbit (LEO), creating a higher operational burden for satellite operators. This problem is especially critical for satellites using electric propulsi...
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ArXiv CS.LG
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ArXiv CS.LG
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This hybrid architecture significantly improves collision avoidance precision by leveraging temporal patterns in satellite conjunction data. Automating high-stakes orbital maneuvering will be essential as the density of low Earth orbit continues to grow at an unprecedented rate.
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