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

[AAAI 2026] OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model

WorldEngine: Towards the Era of Post-Training for 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

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

[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]

The official implementation of "Unleashing the Potential of Diffusion Models for End-to-End Autonomous Driving"

[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 Code Release of DiffSemanticFusion [including Mapless QCNet], which achieves SOTA in both nuScenes and NAVSIM

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

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

A framework for unified end-to-end autonomous driving datasets processing

A Data Converter for Nuplan and VAD(VADv2)

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

🤖 Explore open-source robotics models and packages, including advanced vision-language-action systems for versatile applications and fine-tuning options.