| BridgeDrive: Diffusion Bridge Policy for Closed-Loop Trajectory Planning in Autonomous Driving | ✓ Link | 96.34 | 89.25 | BridgeDrive (LEAD-trained) | 2025-09-28 |
| LEAD: Minimizing Learner-Expert Asymmetry in End-to-End Driving | ✓ Link | 95.2 | 86.8 | TFv6 RegNetY-032 (140° FOV, LiDAR + Radar) (extra data) | 2025-12-23 |
| Unifying Language-Action Understanding and Generation for Autonomous Driving | | 91.01 | | LinkVLA | 2026-03-02 |
| BridgeGuard: Explicit Safety Drift for Diffusion-based Autonomous Driving | | 90.88 | | BridgeGuard (based on BridgeDrive) | 2026-10-08 |
| SteerVLA: Steering Vision-Language-Action Models in Long-Tail Driving Scenarios | | 90.71 | 73.64 | SteerVLA | 2026-02-13 |
| BLUE: Toward Better Language Use in Efficient Vision-Language-Action Models for Autonomous Driving | ✓ Link | 90.58 | 76.18 | BLUE | 2026-06-07 |
| BridgeGuard: Explicit Safety Drift for Diffusion-based Autonomous Driving | | 90.46 | | BridgeGuard (based on DiffusionDrive geo) | 2026-10-08 |
| RoG-DAgger: Rollout-Guided Post-Training for End-to-End Driving | | 90.34 | 73.51 | RoG-DAgger | 2026-08-25 |
| Learning from Mistakes: Post-Training for Driving VLA with Takeover Data | | 89.72 | | TakeVLA | 2026-03-16 |
| AutoMoT: A Unified Vision-Language-Action Model with Asynchronous Mixture-of-Transformers for End-to-End Autonomous Driving | | 89.42 | | AutoMoT+ | 2026-03-16 |
| SparseDriveV2: Scoring is All You Need for End-to-End Autonomous Driving | ✓ Link | 89.15 | 70 | SparseDriveV2 | 2026-03-31 |
| VLADriver-RAG: Retrieval-Augmented Vision-Language-Action Models for Autonomous Driving | ✓ Link | 89.12 | 70.42 | VLADriver-RAG | 2026-05-01 |
| AlignDrive: Aligned Lateral-Longitudinal Planning for End-to-End Autonomous Driving | | 89.07 | | AlignDrive | 2026-01-05 |
| PersonaDrive: Human-Style Retrieval-Augmented VLA Agents for Closed-Loop Driving Simulation | | 88.95 | 72.29 | PersonaDrive | 2026-06-10 |
| VECTOR-Drive: Tightly Coupled Vision-Language and Trajectory Expert Routing for End-to-End Autonomous Driving | | 88.91 | 71.82 | VECTOR-DRIVE | 2026-05-09 |
| GraphPilot: Grounded Scene Graph Conditioning for Language-Based Autonomous Driving | ✓ Link | 88.89 | 72.73 | GraphPilot (SimLingo, SG10 JSON V2) | 2025-11-14 |
| KnowVal: A Knowledge-Augmented and Value-Guided Autonomous Driving System | | 88.42 | 69.03 | KnowVal-SimLingo | 2025-12-23 |
| DynVLA: Learning World Dynamics for Action Reasoning in Autonomous Driving | | 88.34 | | DynVLA | 2026-03-11 |
| Risk-Aware World Model Predictive Control for Generalizable End-to-End Autonomous Driving | | 88.31 | | RaWMPC | 2026-02-26 |
| MAPLE: Latent Multi-Agent Play for End-to-End Autonomous Driving | | 88.3 | 70.5 | MAPLE (PDM-Lite-trained) | 2026-05-13 |
| SafeDriveVLA: Navigation-Conditioned World Model Dreaming for Conflict-Aware End-to-End Autonomous Driving | ✓ Link | 88.16 | 68.64 | SafeDriveVLA | 2026-10-14 |
| What Matters for Scalable and Robust Learning in End-to-End Driving Planners? | ✓ Link | 88.11 | 72.73 | BevAD-M | 2026-03-16 |
| Judge, Then Drive: A Critic-Centric Vision Language Action Framework for Autonomous Driving | | 88.02 | | CriticVLA | 2026-04-30 |
| Causality-Aware End-to-End Autonomous Driving via Ego-Centric Joint Scene Modeling | | 87.53 | 71.81 | CaAD | 2026-05-13 |
| AutoMoT: A Unified Vision-Language-Action Model with Asynchronous Mixture-of-Transformers for End-to-End Autonomous Driving | | 87.34 | | AutoMoT | 2026-03-16 |
| UniTeD: Unified Temporal Diffusion for Joint Perception and Planning in Autonomous Driving | | 87.3 | 70.0 | UniTeD | 2026-06-24 |
| Latent-Centroid Steering: Single-Pass Classifier-Free Guidance for Command-Aligned Autonomous Driving | | 87.18 | 71.16 | LCS | 2026-07-31 |
| DiffRefiner: Coarse to Fine Trajectory Planning via Diffusion Refinement with Semantic Interaction for End to End Autonomous Driving | | 87.1 | | DiffRefiner | 2025-11-21 |
| Deconfounded Lifelong Learning for Autonomous Driving via Dynamic Knowledge Spaces | | 86.86 | | DeLL | 2026-03-15 |
| CLEAR: Closed-Loop Reinforcement Learning at Scale for End-to-End Autonomous Driving | | 86.8 | 69.5 | CLEAR (InternVL3-1B) | 2026-07-03 |
| HiP-AD: Hierarchical and Multi-Granularity Planning with Deformable Attention for Autonomous Driving in a Single Decoder | ✓ Link | 86.77 | | HiP-AD | 2025-03-11 |
| | 86.28 | | R2SE | |
| Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving | | 86.28 | 69.54 | R2SE | 2025-06-11 |
| DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving | ✓ Link | 86.23 | | DeepSight | 2026-05-11 |
| CarLLaVA: Vision language models for camera-only closed-loop driving | ✓ Link | 85.94 | | SimLingo-Base (CarLLaVa) | 2024-06-14 |
| CLEAR: Closed-Loop Reinforcement Learning at Scale for End-to-End Autonomous Driving | | 85.9 | 68.2 | CLEAR (InternVL2-1B) | 2026-07-03 |
| SimLingo: Vision-Only Closed-Loop Autonomous Driving with Language-Action Alignment | ✓ Link | 85.07 | 67.27 | SimLingo | 2025-03-12 |
| Hidden Biases of End-to-End Driving Models | ✓ Link | 84.21 | | TransFuser++ | 2023-06-13 |
| Hidden Biases of End-to-End Driving Datasets | ✓ Link | 84.21 | 67.27 | TF++ (Big + Pre + Ens) (extra data) | 2024-12-12 |
| Selective Temporal Fusion using Recurrent Attention for End-to-End Autonomous Driving | | 83.69 | 64.85 | TF++ w/ TFM+void | 2025-11-24 |
| Drive My Way: Preference Alignment of Vision-Language-Action Model for Personalized Driving | | 82.72 | 71.56 | DMW (Conservative) | 2026-03-26 |
| PRIME: Perception Feedback with Situational Memory Embeddings in VLA Models | | 82.47 | | PRIME-Full | 2026-09-18 |
| Generative Scenario Rollouts for End-to-End Autonomous Driving | | 81.90 | | GeRo (ORION) | 2026-01-16 |
| OmniSpace: Efficient Geometry Awareness for Autonomous Vehicles MLLMs | | 81.40 | 65.52 | OmniSpace (Qwen3-VL 4B) | 2026-06-21 |
| DriveMind: Mind-Evolving Belief Tracking for Closed-Loop Autonomous Driving | ✓ Link | 81.37 | | DriveMind | 2026-10-23 |
| CoT4AD: A Vision-Language-Action Model with Explicit Chain-of-Thought Reasoning for Autonomous Driving | | 81.22 | | Cot4AD-CoT | 2025-11-27 |
| LVDrive: Latent Visual Representation Enhanced Vision-Language-Action Autonomous Driving Model | | 80.71 | | LVDrive | 2026-05-21 |
| MindDrive: A Vision-Language-Action Model for Autonomous Driving via Online Reinforcement Learning | | 80.59 | | MindDrive-L (Online RL) | 2025-12-15 |
| Orion-Lite: Distilling LLM Reasoning into Efficient Vision-Only Driving Models | ✓ Link | 80.57 | 55.45 | Orion-Lite | 2026-04-09 |
| WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA | ✓ Link | 80.51 | | WAM-Diff2 (2B, B=1, AR) | 2026-08-02 |
| CoT4AD: A Vision-Language-Action Model with Explicit Chain-of-Thought Reasoning for Autonomous Driving | | 80.24 | | Cot4AD | 2025-11-27 |
| Reflect-VLA: Internalizing Reflective Guidance via Dual-Path On-Policy Self-Distillation for Autonomous Driving | | 80.15 | | Reflect-VLA-4B | 2026-10-09 |
| WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA | ✓ Link | 80.01 | | WAM-Diff2 (2B, B=4) | 2026-08-02 |
| WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA | ✓ Link | 79.73 | | WAM-Diff2 (2B, B=8) | 2026-08-02 |
| OmniSpace: Efficient Geometry Awareness for Autonomous Vehicles MLLMs | | 79.65 | 60.15 | OmniSpace (Qwen2.5-VL 7B) | 2026-06-21 |
| Generative Scenario Rollouts for End-to-End Autonomous Driving | | 79.60 | | GeRo (Qwen2.5VL) | 2026-01-16 |
| WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA | ✓ Link | 79.52 | | WAM-Diff2 (2B, B=16) | 2026-08-02 |
| DriveStack-VLA: Render-Teacher Alignment for BEV-Based DeepStack Vision-Language-Action Model | | 79.49 | 56.36 | DriveStack-VLA | 2026-06-23 |
| GaussianFusion: Gaussian-Based Multi-Sensor Fusion for End-to-End Autonomous Driving | | 79.4 | | GaussianFusion | 2025-05-27 |
| UniDrive-WM: Unified Understanding, Planning and Generation World Model for Autonomous Driving | | 79.31 | | UniDrive-WM (AR+Diffusion) | 2026-01-07 |
| UniDrive-WM: Unified Understanding, Planning and Generation World Model for Autonomous Driving | | 79.22 | | UniDrive-WM (AR) | 2026-01-07 |
| PixelPilot: Scalable Vision-Language-Action Models for End-to-End Autonomous Driving | | 79.14 | | PixelPilot | 2026-07-06 |
| VLGA: Vision-Language-Geometry-Action Models for Autonomous Driving | ✓ Link | 79.08 | 52.73 | VLGA | 2026-06-10 |
| WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA | ✓ Link | 78.93 | | WAM-Diff2 (2B, B=32) | 2026-08-02 |
| AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning | | 78.84 | | AutoVLA | 2025-06-16 |
| MomADv2: Reliable Temporal Memory for End-to-End Autonomous Driving | | 78.82 | 46.5 | MomADv2 | 2026-08-24 |
| PerlAD: Towards Enhanced Closed-loop End-to-end Autonomous Driving with Pseudo-simulation-based Reinforcement Learning | | 78.70 | | PerlAD | 2026-03-16 |
| UniDriveVLA: Unifying Understanding, Perception, and Action Planning for Autonomous Driving | | 78.37 | | UniDriveVLA | 2026-04-02 |
| CogDriver: Integrating Cognitive Inertia for Temporally Coherent Planning in Autonomous Driving | | 78.21 | | CogDriver | 2025-08-31 |
| ExpertAD: Enhancing Autonomous Driving Systems with Mixture of Experts | | 78.18 | 58.34 | Expert-VADv2 | 2025-11-13 |
| Prioritizing Perception-Guided Self-Supervision: A New Paradigm for Causal Modeling in End-to-End Autonomous Driving | ✓ Link | 78.08 | | PGS | 2025-11-11 |
| MindDrive: A Vision-Language-Action Model for Autonomous Driving via Online Reinforcement Learning | | 78.04 | | MindDrive (Online RL) | 2025-12-15 |
| SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving | | 78.02 | | SpaceDrive+ | 2025-12-11 |
| Multimodal Action Diffusion for Robust End-to-End Autonomous Driving | | 77.90 | | ADT | 2026-06-01 |
| ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation | | 77.7 | | ORION | 2025-03-25 |
| Reflect-VLA: Internalizing Reflective Guidance via Dual-Path On-Policy Self-Distillation for Autonomous Driving | | 77.39 | | Reflect-VLA-2B | 2026-10-09 |
| VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning | ✓ Link | 76.15 | 50.46 | VADv2 | 2024-02-20 |
| Reflect-VLA: Internalizing Reflective Guidance via Dual-Path On-Policy Self-Distillation for Autonomous Driving | | 76.03 | | Reflect-VLA-0.8B | 2026-10-09 |
| MindDrive: A Vision-Language-Action Model for Autonomous Driving via Online Reinforcement Learning | | 75.85 | | MindDrive (IL) | 2025-12-15 |
| MindDrive: A Vision-Language-Action Model for Autonomous Driving via Online Reinforcement Learning | | 75.78 | | MindDrive-L (IL) | 2025-12-15 |
| GuideFlow: Constraint-Guided Flow Matching for Planning in End-to-End Autonomous Driving | ✓ Link | 75.21 | 51.36 | GuideFlow | 2025-11-24 |
| Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA v2) | | 74.36 | | Raw2Drive | 2025-05-22 |
| | 74.33 | | ETA | |
| ETA: Efficiency through Thinking Ahead, A Dual Approach to Self-Driving with Large Models | | 74.33 | 48.33 | ETA Base Model | 2025-06-09 |
| DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving | | 74.22 | | DriveMoE | 2025-05-22 |
| MomWorld: Momentum-Aware Latent World Model for Long-Horizon Autonomous Driving | ✓ Link | 74.07 | 50.00 | MomWorld | 2026-09-27 |
| Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training | ✓ Link | 73.86 | | Hydra-NeXt | 2025-03-15 |
| Validity Learning on Failures: Mitigating the Distribution Shift in Autonomous Vehicle Planning | | 73.29 | | VL (on failure) | 2024-06-03 |
| World4Scorer: Outcome-Grounded World Modeling for Autonomous Driving | | 73.27 | | World4Scorer | 2026-09-29 |
| TakeAD: Preference-based Post-optimization for End-to-end Autonomous Driving with Expert Takeover Data | | 71.39 | | TakeAD | 2025-12-19 |
| ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving | ✓ Link | 71.36 | 45.45 | ReCogDrive (extra data) | 2025-06-09 |
| Large Language Model-assisted Autonomous Vehicle Recovery from Immobilization | | 70.89 | 50.01 | Behavior Agent + StuckSolver† | 2025-10-29 |
| SoAD: Safety-Oriented Value Estimation for Enhanced Closed-Loop End-to-End Autonomous Driving | | 70.47 | 41.36 | SoAD | 2026-08-01 |
| | 68.90 | | DRIVER | |
| DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving | ✓ Link | 68.9 | 36.75 | DIVER | 2025-07-05 |
| Occlusion-Aware Interactive End-to-End Autonomous Driving for Right-of-Way Conflicts | | 68.73 | 48.86 | OAIAD | 2025-10-20 |
| Plug-and-Play Traffic Element Awareness for End-to-End Autonomous Driving | | 68.29 | | DriveTransformer-Large + LTF+ | 2026-08-18 |
| DiffAD: A Unified Diffusion Modeling Approach for Autonomous Driving | | 67.92 | | DiffAD | 2025-03-15 |
| Kinematic priors guide generative trajectory planning for autonomous vehicles | | 67.49 | 36.51 | Diffusion-Phy | 2026-07-31 |
| | 67.17 | | NavigationDrive | |
| Unveiling the Surprising Efficacy of Navigation Understanding in End-to-End Autonomous Driving | | 67.17 | | SNG-VLA | 2026-04-14 |
| DriveMamba: Task-Centric Scalable State Space Model for Efficient End-to-End Autonomous Driving | | 66.82 | | DriveMamba-Large | 2026-02-09 |
| SafeDrive: Fine-Grained Safety Reasoning for End-to-End Driving in a Sparse World | | 66.77 | | SafeDrive | 2026-02-21 |
| CAPS: Context-Aware Priority Sampling for Enhanced Imitation Learning in Autonomous Driving | | 66.76 | 52.87 | CAPS | 2025-03-03 |
| RAP: 3D Rasterization Augmented End-to-End Planning | ✓ Link | 66.42 | 37.27 | RAP-ResNet | 2025-10-05 |
| VDRive: Leveraging Reinforced VLA and Diffusion Policy for End-to-end Autonomous Driving | | 66.25 | 50.51 | VDRive | 2025-10-17 |
| DriveMamba: Task-Centric Scalable State Space Model for Efficient End-to-End Autonomous Driving | | 65.50 | | DriveMamba-Base | 2026-02-09 |
| HiPro-AD: Sparse Trajectory Transformer for End-to-End Autonomous Driving with Hybrid Spatiotemporal Attention | | 65.48 | 37.31 | HiPro-AD | 2025-12-26 |
| MindDriver: Introducing Progressive Multimodal Reasoning for Autonomous Driving | ✓ Link | 65.48 | | MindDriver | 2026-02-25 |
| GEMINUS: Dual-aware Global and Scene-Adaptive Mixture-of-Experts for End-to-End Autonomous Driving | ✓ Link | 65.39 | | GEMINUS | 2025-07-19 |
| LADY: Linear Attention for Autonomous Driving Efficiency without Transformers | | 65.12 | | LADY (Infinite frames) | 2025-12-17 |
| iPad: Iterative Proposal-centric End-to-End Autonomous Driving | ✓ Link | 65.02 | | iPad | 2025-05-21 |
| EvaDrive: Evolutionary Adversarial Policy Optimization for End-to-End Autonomous Driving | | 64.96 | | EvaDrive(Aggres.) | 2025-08-05 |
| Drive-JEPA: Video JEPA Meets Multimodal Trajectory Distillation for End-to-End Driving | ✓ Link | 64.52 | | Drive-JEPA | 2026-01-29 |
| DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving | ✓ Link | 64.22 | | DriveAdapter | 2023-08-01 |
| Perception in Plan: Coupled Perception and Planning for End-to-End Autonomous Driving | ✓ Link | 64.22 | | VeteranAD | 2025-08-15 |
| ReasonPlan: Unified Scene Prediction and Decision Reasoning for Closed-loop Autonomous Driving | ✓ Link | 64.01 | | ReasonPlan | 2025-05-26 |
| DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving | ✓ Link | 63.46 | | Drivetransformer-Large | 2025-03-07 |
| Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving | ✓ Link | 62.44 | | ThinkTwice | 2023-05-10 |
| DriveDPO: Policy Learning via Safety DPO For End-to-End Autonomous Driving | | 62.02 | | DriveDPO | 2025-09-22 |
| End-to-End Driving with Online Trajectory Evaluation via BEV World Model | ✓ Link | 61.71 | 31.36 | WoTE | 2025-04-02 |
| DriveMamba: Task-Centric Scalable State Space Model for Efficient End-to-End Autonomous Driving | | 60.78 | | DriveMamba-Small | 2026-02-09 |
| Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline | ✓ Link | 59.90 | | TCP-traj | 2022-06-16 |
| DA-WAM: Decision-Aligned Future Latents for Driving World Models | ✓ Link | 59.04 | 24.66 | DA-WAM | 2026-08-19 |
| Future-Aware End-to-End Driving: Bidirectional Modeling of Trajectory Planning and Scene Evolution | | 58.32 | 30.17 | SeerDrive | 2025-10-13 |
| LADY: Linear Attention for Autonomous Driving Efficiency without Transformers | | 57.52 | | LADY (10 frames) | 2025-12-17 |
| Plug-and-Play Traffic Element Awareness for End-to-End Autonomous Driving | | 56.4 | | VAD + LTF+ | 2026-08-18 |
| IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model | | 55.36 | 28.24 | IRL-VLA-RL | 2025-08-07 |
| DriveMamba: Task-Centric Scalable State Space Model for Efficient End-to-End Autonomous Driving | | 53.54 | | DriveMamba-Tiny | 2026-02-09 |
| DiFSD: Ego-Centric Fully Sparse Paradigm with Uncertainty Denoising and Iterative Refinement for Efficient End-to-End Self-Driving | ✓ Link | 52.02 | | DiFSD | 2024-09-15 |
| FlowAD: Ego-Scene Interactive Modeling for Autonomous Driving | ✓ Link | 51.77 | | FlowAD | 2026-03-11 |
| X-Driver: Explainable Autonomous Driving with Vision-Language Models | | 51.70 | | X-Driver | 2025-05-08 |
| Embodied Cognition Augmented End2End Autonomous Driving | ✓ Link | 50.07 | 20.12 | E³AD (UniAD-Base) | 2025-11-03 |
| Bridging Past and Future: End-to-End Autonomous Driving with Historical Prediction and Planning | ✓ Link | 50.06 | 22.73 | BridgeAD | 2025-03-18 |
| LADY: Linear Attention for Autonomous Driving Efficiency without Transformers | | 50.06 | | LADY (1 frame) | 2025-12-17 |
| CausalVAD: De-confounding End-to-End Autonomous Driving via Causal Intervention | | 49.83 | 19.42 | CausalVAD | 2026-03-19 |
| Decoupling Scene Perception and Ego Status: A Multi-Context Fusion Approach for Enhanced Generalization in End-to-End Autonomous Driving | | 49.47 | 19.23 | AdaptiveAD | 2025-11-17 |
| Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline | ✓ Link | 49.30 | | TCP-traj w/o distillation | 2022-06-16 |
| SparseWorld: Enhancing End-to-End Autonomous Driving via World Models with Sparse Scene Representation | | 48.95 | | SparseWorld-S | 2026-05-23 |
| Not All Agents Matter: From Global Attention Dilution to Risk-Prioritized Game Planning | | 48.35 | | GameAD | 2026-04-07 |
| CogAD: Cognitive-Hierarchy Guided End-to-End Autonomous Driving | | 48.30 | | CogAD | 2025-05-27 |
| | 47.91 | | MomAD | |
| Don't Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving | ✓ Link | 47.91 | 18.11 | MomAD | 2025-03-05 |
| Planning-oriented Autonomous Driving | ✓ Link | 45.81 | | UniAD-Base | 2022-12-20 |
| FocalAD: Local Motion Planning for End-to-End Autonomous Driving | | 45.77 | 17.3 | FocalAD | 2025-06-13 |
| Dual-AEB: Synergizing Rule-Based and Multimodal Large Language Models for Effective Emergency Braking | ✓ Link | 45.23 | 10.0 | VAD + Dual-AEB | 2024-10-11 |
| Two Tasks, One Goal: Uniting Motion and Planning for Excellent End To End Autonomous Driving Performance | | 45.23 | | TTOG | 2025-04-17 |
| GenAD: Generative End-to-End Autonomous Driving | ✓ Link | 44.81 | | GenAD | 2024-02-18 |
| SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation | ✓ Link | 44.54 | | SparseDrive | 2024-05-30 |
| VAD: Vectorized Scene Representation for Efficient Autonomous Driving | ✓ Link | 42.35 | | VAD | 2023-03-21 |
| ReAL-AD: Towards Human-Like Reasoning in End-to-End Autonomous Driving | | 41.17 | 11.36 | ReAL-AD (VAD + MiniCPM-V) | 2025-07-16 |
| Planning-oriented Autonomous Driving | ✓ Link | 40.73 | | UniAD-Tiny | 2022-12-20 |
| Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline | ✓ Link | 40.70 | | TCP | 2022-06-16 |
| From Failures to Fixes: LLM-Driven Scenario Repair for Self-Evolving Autonomous Driving | | 35.64 | | VAD + SERA | 2025-05-28 |
| Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline | ✓ Link | 30.47 | | TCP-ctrl | 2022-06-16 |
| Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving | ✓ Link | 18.05 | | AD-MLP | 2024-06-06 |