•DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving
•Modeling Driver Behavior From Demonstrations in Dynamic Environments Using Spatiotemporal Lattices
•Autonomous Vehicle Social Behavior for Highway Entrance Ramp Management
•A Fast Integrated Planning and Control Framework for Autonomous Driving via Imitation Learning
•Query-Efficient Imitation Learning for End-to-End Simulated Driving
•Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net
•IntentNet: Learning to Predict Intention from Raw Sensor Data
•ChauffeurNet: Learning to Drive by Imitating the Best，Synthesizing the Worst