端到端驾驶论文趋势 2023–2026

主要结论

• 端到端驾驶论文从 2023 年的 33 篇增长到 2026 年的 58 篇，三年间扩大到约 1.8 倍。
• CVPR 是发端到端驾驶论文最多的会议，2023–2026 年共 71 篇，占四个会议总量的 44%。
• 交叉方向里涨得最快的是多模态大模型：同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 11 篇。
• 在「自动驾驶」的 5 个主题里，它的 2026 年论文数排第 5；同组增长最快的运动规划是 2.4 倍，端到端驾驶是 1.8 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• NeurIPS 2026AlignDrive: Aligned Lateral-Longitudinal Planning for End-to-End Autonomous Driving
• ICML 2026Hide&Seek: Learning to Explain in an End-to-End Differentiable Network
• ICLR 2026RAP: 3D Rasterization Augmented End-to-End Planning
• CVPR 2026Bias at the End of the Score
• NeurIPS 2025Embodied Cognition Augmented End2End Autonomous Driving
• ICML 2025GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance
• ICLR 2025MGMapNet: Multi-Granularity Representation Learning for End-to-End Vectorized HD Map Construction
• CVPR 2025Bridging Past and Future: End-to-End Autonomous Driving with Historical Prediction and Planning
• NeurIPS 2024Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving
• ICML 2024Learning Exceptional Subgroups by End-to-End Maximizing KL-Divergence
• ICLR 2024DV-3DLane: End-to-end Multi-modal 3D Lane Detection with Dual-view Representation
• CVPR 2024HIMap: HybrId Representation Learning for End-to-end Vectorized HD Map Construction
• NeurIPS 2023[Re] End-to-end Algorithm Synthesis with Recurrent Networks: Logical Extrapolation Without Overthinking
• ICML 2023End-to-end Differentiable Clustering with Associative Memories
• ICLR 2023E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking
• CVPR 2023End-to-End Vectorized HD-Map Construction With Piecewise Bezier Curve
• NeurIPS 2026On the Existence of Uniformly Optimal Policies in MDPs under Epistemic Uncertainty
• ICML 2026RoCA: Robust Cross-Domain End-to-End Autonomous Driving
• ICLR 2026THE END OF MANUAL DECODING: TOWARDS TRULY END-TO-END LANGUAGE MODELS
• CVPR 2026LEAD Minimizing Learner-Expert Asymmetry in End-to-End Driving

全部端到端驾驶论文

共 161 篇，第 1 / 4 页

1. CVPR 2026ActiveAD Planning-Oriented Active Learning for End-to-End Autonomous Driving
2. CVPR 2026Bias at the End of the Score
3. CVPR 2026CausalVAD De-confounding End-to-End Autonomous Driving via Causal Intervention
4. CVPR 2026DGGT Feedforward 4D Reconstruction of Dynamic Driving Scenes using Unposed
5. CVPR 2026DriveCombo Benchmarking Compositional Traffic Rule Reasoning in Autonomous Driving
6. CVPR 2026Driving on Registers
7. CVPR 2026DVGT Driving Visual Geometry Transformer
8. CVPR 2026E3AD An Emotion-Aware Vision-Language-Action Model for Human-Centric End-to-End Autonomous Driving
9. CVPR 2026EasyOmnimatte Taming Pretrained Inpainting Diffusion Models for End-to-End Video Layered
10. CVPR 2026End-to-End Hyper-Relational Information Extraction for Engineering Diagrams via Dynamically Tokenized
11. CVPR 2026FBTA Enabling Single-GPU End-to-End Gigapixel WSI Classification with Feature Bridging
12. CVPR 2026GuideFlow Constraint-Guided Flow Matching for Planning in End-to-End Autonomous Driving
13. CVPR 2026LEAD Minimizing Learner-Expert Asymmetry in End-to-End Driving
14. CVPR 2026MarkushGrapher-2 End-to-end Multimodal Recognition of Chemical Structures
15. CVPR 2026MatchED Crisp Edge Detection Using End-to-End Matching-based Supervision
16. CVPR 2026MoCha End-to-End Video Character Replacement without Structural Guidance
17. CVPR 2026Percept-WAM Perception-Enhanced World-Awareness-Action Model for Robust End-to-End Autonomous Driving
18. CVPR 2026Reliable Policy Transfer for Safety-Aware End-to-End Driving with Deep Reinforcement
19. CVPR 2026ResAD Normalized Residual Trajectory Modeling for End-to-End Autonomous Driving
20. CVPR 2026RevINN An End-to-End Invertible Neural Network for Reversible Adversarial Examples
21. CVPR 2026SafeDrive Fine-Grained Safety Reasoning for End-to-End Driving in a Sparse
22. CVPR 2026Scaling-Aware Data Selection for End-to-End Autonomous Driving Systems
23. CVPR 2026SpaceDrive Infusing Spatial Awareness into VLM-based Autonomous Driving
24. CVPR 2026SpeeDiff Scalable Pixel-Anchored End-to-End Latent Diffusion Model
25. CVPR 2026TopoHR Hierarchical Centerline Representation for Cyclic Topology Reasoning in Driving
26. CVPR 2026TruckDrive Long-Range Autonomous Highway Driving Dataset
27. CVPR 2026WOD-E2E Waymo Open Dataset for End-to-End Driving in Challenging Long-tail
28. ICLR 2026AutoDV: An End-to-End Deep Learning Model for High-Dimensional Data Visualization
29. ICLR 2026BridgeDrive: Diffusion Bridge Policy for Closed-Loop Trajectory Planning in Autonomous Driving
30. ICLR 2026ComPhy: Composing Physical Models with end-to-end Alignment
31. ICLR 2026DriveMamba: Task-Centric Scalable State Space Model for Efficient End-to-End Autonomous Driving
32. ICLR 2026Muon Outperforms Adam in Tail-End Associative Memory Learning
33. ICLR 2026Optimal transport unlocks end-to-end learning for single-molecule localization
34. ICLR 2026RAP: 3D Rasterization Augmented End-to-End Planning
35. ICLR 2026RAVEN: End-to-end Equivariant Robot Learning with RGB Cameras
36. ICLR 2026ResWorld: Temporal Residual World Model for End-to-End Autonomous Driving
37. ICLR 2026THE END OF MANUAL DECODING: TOWARDS TRULY END-TO-END LANGUAGE MODELS
38. ICLR 2026Uni-X: Mitigating Modality Conflict with a Two-End-Separated Architecture for Unified Multimodal Models
39. ICLR 2026VADv2: End-to-End Autonomous Driving via Probabilistic Planning
40. ICML 2026Embodied-DETR: End-to-End Temporal 3D Object Detection in Egocentric Views
41. ICML 2026Hide&Seek: Learning to Explain in an End-to-End Differentiable Network
42. ICML 2026MapUQ: Map with Uncertainty Quantification for Robust BEV Vectorized Construction
43. ICML 2026RoCA: Robust Cross-Domain End-to-End Autonomous Driving
44. NeurIPS 2026$\chi$-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows?
45. NeurIPS 2026AlignDrive: Aligned Lateral-Longitudinal Planning for End-to-End Autonomous Driving
46. NeurIPS 2026BankerToolBench: Evaluating AI Agents in End-to-End Investment Banking Workflows
47. NeurIPS 2026Beyond Masked Sparsity: SNACK Enables Truly Sparse Neural Networks on GPU
48. NeurIPS 2026Closed Loop Dynamic Driving Data Mixture for Real-Synthetic Co-Training
49. NeurIPS 2026DriveMind: Mind-Evolving Belief Tracking for Closed-Loop Autonomous Driving
50. NeurIPS 2026DriveSpatial: A Benchmark for Spatiotemporal Intelligence in VLMs for Autonomous Driving

常见问题

2023–2026 年四大会议一共有多少篇端到端驾驶论文？

共 161 篇，按年份分别是 2023 年 33 篇、2024 年 31 篇、2025 年 39 篇、2026 年 58 篇。

NeurIPS 2026 有多少篇端到端驾驶论文？

NeurIPS 2026 有 15 篇端到端驾驶论文，上一届是 18 篇。

ICLR 2026 有多少篇端到端驾驶论文？

ICLR 2026 有 12 篇端到端驾驶论文，上一届是 5 篇。

ICML 2026 有多少篇端到端驾驶论文？

ICML 2026 有 4 篇端到端驾驶论文，上一届是 4 篇。

CVPR 2026 有多少篇端到端驾驶论文？

CVPR 2026 有 27 篇端到端驾驶论文，上一届是 12 篇。

哪个会议的端到端驾驶论文最多？

CVPR，2023–2026 年共 71 篇。