Efficient and Interpretable Neural Motion Planning for Autonomous Driving

A unified, interpretable, and efficient autonomy framework that moves away from cascading perception, prediction, and planning modules. Instead, it queries an implicit occupancy model at relevant spatio-temporal points to effectively understand the current and future free-space, and plans a safe and comfortable trajectory.