[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving
A curated list of awesome End-to-End Autonomous Driving resources (continually updated)
[PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
A collection of recent resources on End-to-End Autonomous Driving [survey accepted in IEEE TIV]
SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation
[ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
[NeurIPS 2022] Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline.
(TNNLS) Prioritized Experience-Based Reinforcement Learning with Human Guidance for Autonomous Driving
Autonomous driving: Tensorflow implementation of the paper "End-to-end Driving via Conditional Imitation Learning"
[ECCV 2022] ST-P3, an end-to-end vision-based autonomous driving framework via spatial-temporal feature learning.
A self driving toy car using end-to-end learning
End-to-end Lane Detection for Self-Driving Cars (ICCV 2019 Workshop)
Roach: End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. ICCV 2021.
Training pipeline for end-to-end self-driving with Comma AI's Openpilot. WIP
End-To-End is a crypto library to encrypt, decrypt, digital sign, and verify signed messages (implementing OpenPGP)
AI-driving Vehicle Simulation using Machine Learning(CNN) | PyTorch implementation of "End to End Learning for Self-Driving Cars" (arXiv:1604.07316)
Built and trained a convolutional network for end-to-end driving in a simulator using Tensorflow and Keras
End-to-End Object Detection with Transformers
翻译 - 变压器端对端物体检测
Deal or No Deal? End-to-End Learning for Negotiation Dialogues
