干货来啦！端到端自动驾驶文章汇总

xiaocheng

综述汇总

Recent Advancements in End-to-End Autonomous Driving using Deep Learning: A SurveyEnd-to-end Autonomous Driving: Challenges and Frontiers开源仓库：https://github.com/opendilab/awesome-end-to-end-autonomous-driving#a-Overview-of-End-to-End-Driving-Method开源仓库：https://github.com/Pranav-chib/Recent-Advancements-in-End-to-End-Autonomous-Driving-using-Deep-Learning

基于可解释性

基于Attention

Planning-oriented Autonomous Driving Best Paper [CVPR2023]Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling [ICLR2023]Scaling Self-Supervised End-to-End Driving with Multi-View Attention Learning [arxiv2023]TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving [TPAMI2022]Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer[CoRL2022]PlanT: Explainable Planning Transformers via Object-Level Representations[CoRL2022]Multi-Modal Fusion Transformer for End-to-End Autonomous Driving [CVPR2021]NEAT: Neural Attention Fields for End-to-End Autonomous Driving [ICCV2021]

Semantic representation and Auxiliary output

Learning from All Vehicles [CVPR2022]TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving [TPAMI2022]ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature Learning [ECCV2022]Hidden Biases of End-to-End Driving Models[arXiv2023]Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer[CoRL2022]Learning Situational Driving[CVPR2020]

基于模仿学习

Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving. [CVPR2023]Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling [ICLR2023]Hidden Biases of End-to-End Driving Models [arXiv2023]Scaling Self-Supervised End-to-End Driving with Multi-View Attention Learning [arxiv2023]Learning from All Vehicles [CVPR2022]PlanT: Explainable Planning Transformers via Object-Level Representations [CoRL2022]Multi-Modal Fusion Transformer for End-to-End Autonomous Driving [CVPR2021]Learning by Watching [CVPR2021]End-to-End Urban Driving by Imitating a Reinforcement Learning Coach [ICCV2021]Learning by Cheating [CoRL2020]SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning [[CoRL2020]]Urban Driving with Conditional Imitation Learning [ICRA2020]Multimodal End-to-End Autonomous Driving [TITS2020]Learning to Drive from Simulation without Real World Labels [ICRA2019]

基于行为克隆

TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving [TPAMI2022]Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline [NeurIPS2022]KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients [ECCV2022]Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining [ECCV2022]NEAT: Neural Attention Fields for End-to-End Autonomous Driving [ICCV2021]Learning Situational Driving [CVPR2020]Exploring the Limitations of Behavior Cloning for Autonomous Driving [ICCV2019]

基于强化学习

Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization [ICLR2022]End-to-End Urban Driving by Imitating a Reinforcement Learning Coach [ICCV2021]Learning To Drive From a World on Rails [ICCV2021]End-to-End Model-Free Reinforcement Learning for Urban Driving Using Implicit Affordances [CVPR2020]Learning to drive in a day [ICRA2019]

基于多任务学习

Planning-oriented Autonomous Driving Best Paper [CVPR2023]ReasonNet: End-to-End Driving with Temporal and Global Reasoning [CVPR2023]Coaching a Teachable Student [CVPR2023]Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving. [CVPR2023]Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer [CoRL2022]SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning [[CoRL2020]]Urban Driving with Conditional Imitation Learning [ICRA2020]

基于知识蒸馏

Learning from All Vehicles [CVPR2022]End-to-End Urban Driving by Imitating a Reinforcement Learning Coach [ICCV2021]Learning To Drive From a World on Rails [ICCV2021]Learning by Cheating [CoRL2020]SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning [[CoRL2020]]