E2E Paper Reading
- ReflectDrive-2 论文阅读笔记
- X-Cache
- RAD-2: Scaling Reinforcement Learning in a Generator-Discriminator Framework
- MOSAIC: 基于规模感知的自动驾驶数据挑选魔法阵
- DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving
- SparseDriveV2: Scoring is All You Need for End-to-End Autonomous Driving
- WorldDrive
- DiffusionDriveV2: Truncated Diffusion Model for End-to-End Autonomous Driving
- End-to-End Autonomous Driving without Costly Modularization and 3D Manual Annotation
- Epona: Autoregressive Diffusion World Model for End-to-End Autonomous Driving
- FutureX: Enhance End-to-End Autonomous Driving via Latent Chain-of-Thought World Model
- HiP-AD: Hierarchical and Multi-granularity Planning with Deformable Attention
- LAW - Enhancing End-to-End Autonomous Driving with Latent World Model
- MomAD: Momentum-Aware Planning in End-to-End Autonomous Driving
- MotionLM: Multi-Agent Motion Forecasting as Language Modeling
- ResAD: Normalized Residual Trajectory Modeling for End-to-End Autonomous Driving
- SNG-VLA: Navigation Understanding in End-to-End Autonomous Driving
- World4Drive - 无需感知标注的端到端自动驾驶世界模型
- CarPlanner
- DiffusionDrive
- GameFormer
- GenAD
- GoalFlow
- Pluto
- WayFormer
- EMMA: End-to-End Multimodal Model for Autonomous Driving