驾驶仿真论文趋势 2023–2026

主要结论

• 驾驶仿真论文从 2023 年的 969 篇增长到 2026 年的 2,200 篇，三年间扩大到约 2.3 倍。
• NeurIPS 是发驾驶仿真论文最多的会议，2023–2026 年共 2,111 篇，占四个会议总量的 36%。
• 交叉方向里涨得最快的是扩散模型：同时属于两个主题的论文从 2023 年的 27 篇增至 2026 年的 205 篇。
• 在「自动驾驶」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的运动规划是 2.4 倍，驾驶仿真是 2.3 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 2026$SE(2)$-Aware Conditional Distribution Transport for Vehicle Trajectory Generation
• ICML 2026A Penalty Approach For Differentiation Through Black-box Quadratic Programming Solvers
• ICLR 2026A Schrödinger Eigenfunction Method for Long-Horizon Stochastic Optimal Control
• CVPR 2026A2GC Asymmetric Aggregation with Geometric Constraints for Locally Aggregated Descriptors
• NeurIPS 2025A compressive-expressive communication framework for compositional representations
• ICML 2025A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization
• ICLR 2025A Truncated Newton Method for Optimal Transport
• CVPR 20253D-SLNR: A Super Lightweight Neural Representation for Large-scale 3D Mapping
• NeurIPS 2024[Re] CUDA: Curriculum of Data Augmentation for Long‐tailed Recognition
• ICML 2024$H$-Consistency Guarantees for Regression
• ICLR 2024$\texttt{NAISR}$: A 3D Neural Additive Model for Interpretable Shape Representation
• CVPR 2024Decentralized Directed Collaboration for Personalized Federated Learning
• NeurIPS 2023[Re] FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles
• ICML 2023$H$-Consistency Bounds for Pairwise Misranking Loss Surrogates
• ICLR 2023A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data
• CVPR 20233DAvatarGAN: Bridging Domains for Personalized Editable Avatars
• NeurIPS 2026A Bitter Lesson for Data Filtering
• ICML 2026A Queueing-Theoretic Framework for Stability Analysis of LLM Inference with KV Cache Memory Constraints
• ICLR 2026Bayesian Neural Networks for Functional ANOVA Model
• CVPR 2026Active Perceptual Inference A Corticothalamic-Inspired Dynamic Nested Recurrent Network for

全部驾驶仿真论文

共 350 篇，第 1 / 7 页

1. CVPR 20233D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds
2. CVPR 20233DAvatarGAN: Bridging Domains for Personalized Editable Avatars
3. CVPR 2023A Characteristic Function-Based Method for Bottom-Up Human Pose Estimation
4. CVPR 2023A Light Weight Model for Active Speaker Detection
5. CVPR 2023A Loopback Network for Explainable Microvascular Invasion Classification
6. CVPR 2023A Practical Stereo Depth System for Smart Glasses
7. CVPR 2023A Practical Upper Bound for the Worst-Case Attribution Deviations
8. CVPR 2023A Simple Baseline for Video Restoration With Grouped Spatial-Temporal Shift
9. CVPR 2023A Unified Knowledge Distillation Framework for Deep Directed Graphical Models
10. CVPR 2023A Unified Pyramid Recurrent Network for Video Frame Interpolation
11. CVPR 2023A2J-Transformer: Anchor-to-Joint Transformer Network for 3D Interacting Hand Pose Estimation From a Single RGB Image
12. CVPR 2023ABCD: Arbitrary Bitwise Coefficient for De-Quantization
13. CVPR 2023ABLE-NeRF: Attention-Based Rendering With Learnable Embeddings for Neural Radiance Field
14. CVPR 2023ACL-SPC: Adaptive Closed-Loop System for Self-Supervised Point Cloud Completion
15. CVPR 2023ACR: Attention Collaboration-Based Regressor for Arbitrary Two-Hand Reconstruction
16. CVPR 2023ActMAD: Activation Matching To Align Distributions for Test-Time-Training
17. CVPR 2023AdamsFormer for Spatial Action Localization in the Future
18. CVPR 2023Adaptive Annealing for Robust Geometric Estimation
19. CVPR 2023Adaptive Global Decay Process for Event Cameras
20. CVPR 2023Adaptive Plasticity Improvement for Continual Learning
21. CVPR 2023Adaptive Sparse Convolutional Networks With Global Context Enhancement for Faster Object Detection on Drone Images
22. CVPR 2023Adaptive Sparse Pairwise Loss for Object Re-Identification
23. CVPR 2023Adaptive Spot-Guided Transformer for Consistent Local Feature Matching
24. CVPR 2023All Are Worth Words: A ViT Backbone for Diffusion Models
25. CVPR 2023ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction
26. CVPR 2023An Actor-Centric Causality Graph for Asynchronous Temporal Inference in Group Activity
27. CVPR 2023Anchor3DLane: Learning To Regress 3D Anchors for Monocular 3D Lane Detection
28. CVPR 2023Angelic Patches for Improving Third-Party Object Detector Performance
29. CVPR 2023Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP Benchmark
30. CVPR 2023ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D Data
31. CVPR 2023AShapeFormer: Semantics-Guided Object-Level Active Shape Encoding for 3D Object Detection via Transformers
32. CVPR 2023AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning
33. CVPR 2023AUNet: Learning Relations Between Action Units for Face Forgery Detection
34. CVPR 2023Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-Time Mobile Telepresence
35. CVPR 2023Autonomous Manipulation Learning for Similar Deformable Objects via Only One Demonstration
36. CVPR 2023Azimuth Super-Resolution for FMCW Radar in Autonomous Driving
37. CVPR 2023B-Spline Texture Coefficients Estimator for Screen Content Image Super-Resolution
38. CVPR 2023BAEFormer: Bi-Directional and Early Interaction Transformers for Bird's Eye View Semantic Segmentation
39. CVPR 2023Balanced Energy Regularization Loss for Out-of-Distribution Detection
40. CVPR 2023Balanced Product of Calibrated Experts for Long-Tailed Recognition
41. CVPR 2023Balanced Spherical Grid for Egocentric View Synthesis
42. CVPR 2023Balancing Logit Variation for Long-Tailed Semantic Segmentation
43. CVPR 2023Behind the Scenes: Density Fields for Single View Reconstruction
44. CVPR 2023Better "CMOS" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-Resolution
45. CVPR 2023BEV-Guided Multi-Modality Fusion for Driving Perception
46. CVPR 2023BEV@DC: Bird's-Eye View Assisted Training for Depth Completion
47. CVPR 2023Bi-LRFusion: Bi-Directional LiDAR-Radar Fusion for 3D Dynamic Object Detection
48. CVPR 2023Bias-Eliminating Augmentation Learning for Debiased Federated Learning
49. CVPR 2023BiasAdv: Bias-Adversarial Augmentation for Model Debiasing
50. CVPR 2023Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis

常见问题

2023–2026 年四大会议一共有多少篇驾驶仿真论文？

共 5,882 篇，按年份分别是 2023 年 969 篇、2024 年 1,308 篇、2025 年 1,405 篇、2026 年 2,200 篇。

NeurIPS 2026 有多少篇驾驶仿真论文？

NeurIPS 2026 有 940 篇驾驶仿真论文，上一届是 542 篇。

ICLR 2026 有多少篇驾驶仿真论文？

ICLR 2026 有 313 篇驾驶仿真论文，上一届是 228 篇。

ICML 2026 有多少篇驾驶仿真论文？

ICML 2026 有 363 篇驾驶仿真论文，上一届是 275 篇。

CVPR 2026 有多少篇驾驶仿真论文？

CVPR 2026 有 584 篇驾驶仿真论文，上一届是 360 篇。

哪个会议的驾驶仿真论文最多？

NeurIPS，2023–2026 年共 2,111 篇。