A prior information informed learning architecture for flying trajectory prediction
A prior information informed learning architecture for flying trajectory prediction explores Predict landing points of flying objects using a hardware-efficient, environment-aware dual-transformer architecture, starting with tennis ball landing prediction.. Commercial viability score: 7/10 in Trajectory Prediction.
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