[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving

[NeurIPS 2022] Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline.

[ECCV 2022] ST-P3, an end-to-end vision-based autonomous driving framework via spatial-temporal feature learning.

Our insights of Openpilot, a deepdive project on it

[CVPR 2023] Pytorch implementation of ThinkTwice, a SOTA Decoder for End-to-end Autonomous Driving under BEV.

[ICLR 2023] Pytorch implementation of PPGeo, a fully self-supervised driving policy pre-training framework to learn from unlabeled driving videos.

End to End Learning of Self Driving Vehicle in Urban Environments using CARLA

This repository is designed for the development and validation of an End-to-End Controller based on deep reinforcement learning to reach a desired destination within a ROS Gazebo simulation environment.