Hybrid TCN-Transformer Model Predicts Satellite Collision Risk from Conjunction Data
Researchers present a hybrid temporal convolutional network and transformer architecture designed to forecast satellite collision probability early, using conjunction data messages as input within a dedicated analysis framework. The work targets the growing operational load on satellite operators caused by more frequent close approaches in low Earth orbit as satellites and debris multiply.