31 citations · 40 across the 5 of their papers we have counts for
3 papers · 1 filter
Aggressive Deep Driving: Model Predictive Control with a CNN Cost Model
Paul Drews, Grady Williams, Brian Goldfain +2
We present a framework for vision-based model predictive control (MPC) for the task of aggressive, high-speed autonomous driving. Our approach uses deep convolutional neural networ…
Autonomous Racing with AutoRally Vehicles and Differential Games
Grady Williams, Brian Goldfain, Paul Drews +2
Safe autonomous vehicles must be able to predict and react to the drivers around them. Previous control methods rely heavily on pre-computation and are unable to react to dynamic e…
Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving
Grady Williams, Paul Drews, Brian Goldfain +2
We present an information theoretic approach to stochastic optimal control problems that can be used to derive general sampling based optimization schemes. This new mathematical me…