Efficient and Safe Vehicle Navigation Based on Driver Behavior Classification

We present an autonomous driving planning algorithm that takes into account neighboring drivers' behaviors and achieves safer and more efficient navigation. Our approach leverages the advantages of a data-driven mapping that is used to characterize the behavior of other drivers on the road. Our formulation also takes into account pedestrians and cyclists and uses psychology-based models to perform safe navigation. We demonstrate our benefits over previous methods: safer behavior in avoiding dangerous neighboring drivers, pedestrians and cyclists, and efficient navigation around careful drivers.