2019
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst
RSS 2019poster
Our goal is to train a policy for autonomous driving via imitation learning that is robust enough to drive a real vehicle. We find that standard behavior cloning is insufficient for handling complex driving scenarios, even when we leverage a perception system for preprocessing the input and a contro…