Autonomous Driving
- Deep Steering: Learning End-to-End Driving Model from Spatial and Temporal Visual Cues
- Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
- Deep Racing: Parameterized Trajectories for Autonomous Racing
- Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention
- BADGR: The Berkeley Autonomous Driving Ground Robot
- DeepDriving: Learning affordance for direct perception in autonomous driving
- Pseudo-LiDAR from visual depth perception
- End to End Multi-Modal Multi Task Vehicle Control for Self Driving Cars with Visual Perceptions
- End-to-End Object Detection with Transformers
- Multi-View 3D Object Detection Network for Autonomous Driving