Interpretable Trajectory Prediction for Autonomous Vehicles via Counterfactual Responsibility
Kai-Chieh Hsu,Karen Leung,Yuxiao Chen,Jaime F. Fisac,Marco Pavone,Kai-Chieh Hsu,Karen Leung,Yuxiao Chen,Jaime F. Fisac,Marco Pavone
The ability to anticipate surrounding agents' behaviors is critical to enable safe and seamless autonomous vehicles (AVs). While phenomenological methods have successfully predicted future trajectories from scene context, these predictions lack interpretability. On the other hand, ontological approaches assume an underlying structure able to describe the interaction dynamics or agents' internal de...
