Probabilistic Motion Planning and Prediction via Partitioned Scenario Replay
Oscar de Groot,Anish Sridharan,Javier Alonso-Mora,Laura Ferranti,Oscar de Groot,Anish Sridharan,Javier Alonso-Mora,Laura Ferranti
Autonomous mobile robots require predictions of human motion to plan a safe trajectory that avoids them. Because human motion cannot be predicted exactly, future trajectories are typically inferred from real-world data via learning-based approximations. These approximations provide useful information on the pedestrian’s behavior, but may deviate from the data, which can lead to collisions during p...
