LEADER: Learning Attention over Driving Behaviors for Planning under Uncertainty | Cai Panpan's Home Page

Uncertainty on human behaviors poses a significant challenge to autonomous driving in crowded urban environments. The partially observable Markov decision processes (POMDPs) offer a principled framework for planning under uncertainty, often leveraging Monte Carlo sampling to achieve online...