end-to-end-autonomous-driving

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

[IEEE T-PAMI 2024] All you need for End-to-end 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.

A comprehensive survey of forging vision foundation models for autonomous driving, including challenges, methodologies, and opportunities.

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.

A collection of recent resources on End-to-End Autonomous Driving [survey accepted in IEEE TIV]

OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model

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

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

[Official] [IROS 2024] A goal-oriented planning to lift VLN performance for Closed-Loop Navigation: Simple, Yet Effective

A Data Converter for Nuplan and VAD(VADv2)

Closed-loop evaluation for end-to-end VLM autonomous driving agent

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

RecyclingRush ♻️: Towards Continuous Floating Invasive Plant Removal Using Unmanned Surface Vehicles and Computer Vision, IEEE Access 2024.

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.

This repository contains the complied GUI and backend codebase to enable the full-functionalities of Project Varuna.