2025
Predict Multiple Steps at Once: A Fragment Trajectory Prediction Network
RA-L 2025
Trajectory prediction is a critical technique for autonomous driving, robot navigation and intelligent surveillance. The recurrent neural networks (RNNs) models propagate temporal information through hidden states and have been widely applied in adapting to varying input lengths and generating multi