Joint Imitation Learning of Behavior Decision and Control for Autonomous Intersection Navigation
Zeyu Zhu,Huijing Zhao,Zeyu Zhu,Huijing Zhao
Modern autonomous driving systems face substantial challenges when navigating dense intersections due to the high uncertainty introduced by other road users. Due to the complexity of the task, the autonomous vehicle needs to generate policies at multiple levels of abstraction. However, previous deep imitation learning methods focused on learning control policies while using simple rule-based behav...
