Long-Term Pedestrian Trajectory Prediction Using Mutable Intention Filter and Warp LSTM
Long-Term Pedestrian Trajectory Prediction Using Mutable Intention Filter and Warp LSTM
Trajectory prediction is one of the key capabilities for robots to safely navigate and interact with pedestrians. Critical insights from human intention and behavioral patterns need to be integrated to effectively forecast long-term pedestrian behavior. Thus, we propose a framework incorporating a Mutable Intention Filter and a Warp LSTM (MIF-WLSTM) …