mlsanityData to 7 Oct 2026

Cooperative and V2X driving

150 papers0 this weekLow confidence in this grouping: the papers may belong to more than one topic, or the group may changeLow confidence in this grouping: the papers may belong to more than one topic, or the group may change · About

Keywords: vehicles, driving, traffic, autonomous, cooperative

Key facts. Cooperative and V2X driving: 150 papers on arXiv since 2021 (data through 7 Oct 2026). 21 of its 150 mapped papers (14%) cite “COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked Vehicles” (2022, arXiv 2205.02222). 12 of its 150 mapped papers (8%) cite “End-to-End Autonomous Driving through V2X Cooperation” (2024, arXiv 2404.00717). 1 new paper 17 Sep–7 Oct.

What’s new

17 Sep – 7 Oct 2026

1 new since 17 Sep

  1. V2X-WAM: A Cooperative World Action Model for End-to-End Autonomous Driving also fits: Generative simulation for driving

Foundations

Most cited by papers here

  1. COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked Vehicles2022cited by 21 here
  2. End-to-End Autonomous Driving through V2X Cooperation2024cited by 12 here
  3. Social Coordination and Altruism in Autonomous Driving2021cited by 10 here
  4. V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models2024cited by 9 here
  5. V2V-LLM: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multimodal Large Language Models2025cited by 9 here

Lineage

The papers this direction builds on, oldest first.

Each paper on the line cites the one before.

  1. 2021Multi-Modal Fusion Transformer for End-to-End Autonomous Drivingcited by 7 here
  2. 2022COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked Vehiclescited by 21 here
  3. 2023End-to-end Autonomous Driving: Challenges and Frontierscited by 6 here
  4. 2023DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Modelcited by 8 here
  5. 2023A Language Agent for Autonomous Drivingcited by 6 here
  6. 2023DriveLM: Driving with Graph Visual Question Answeringcited by 13 here
  7. 2024DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Modelscited by 8 here
  8. 2024V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Modelscited by 9 here
  9. 2025LangCoop: Collaborative Driving with Languagecited by 9 here
15 more it builds on, not in this chain
  1. 2021NuPlan: A closed-loop ML-based planning benchmark for autonomous vehiclescited by 6 here
  2. 2021Social Coordination and Altruism in Autonomous Drivingcited by 10 here
  3. 2021MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learningcited by 12 here
  4. 2022Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baselinecited by 8 here
  5. 2023Motion Planning for Autonomous Driving: The State of the Art and Future Perspectivescited by 6 here
  6. 2023VAD: Vectorized Scene Representation for Efficient Autonomous Drivingcited by 9 here
  7. 2023DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Drivingcited by 7 here
  8. 2023DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Modelscited by 6 here
  9. 2023LMDrive: Closed-Loop End-to-End Driving with Large Language Modelscited by 6 here
  10. 2024End-to-End Autonomous Driving through V2X Cooperationcited by 12 here
  11. 2024AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learningcited by 6 here
  12. 2024Towards Collaborative Autonomous Driving: Simulation Platform and End-to-End Systemcited by 7 here
  13. 2024Towards Interactive and Learnable Cooperative Driving Automation: a Large Language Model-Driven Decision-Making Frameworkcited by 6 here
  14. 2025V2V-LLM: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multimodal Large Language Modelscited by 9 here
  15. 2025AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuningcited by 7 here

The 24 most cited of 304.

Browse

30 of 150, ranked 6–35

  1. 6LangCoop: Collaborative Driving with Language20259
  2. 7Towards Collaborative Autonomous Driving: Simulation Platform and End-to-End System20247
  3. 8Towards Interactive and Learnable Cooperative Driving Automation: a Large Language Model-Driven Decision-Making Framework20246
  4. 9CoopReflect: Towards Natural Language Communication for Cooperative Autonomous Driving via Multi-Agent Learning20255
  5. 10UniMM-V2X: MoE-Enhanced Multi-Level Fusion for End-to-End Cooperative Autonomous Driving20255
  6. 11Altruistic Maneuver Planning for Cooperative Autonomous Vehicles Using Multi-agent Advantage Actor-Critic20214
  7. 12V2V-GoT: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multimodal Large Language Models and Graph-of-Thoughts20253
  8. 13Cooperative Driving of Connected Autonomous Vehicles in Heterogeneous Mixed Traffic: A Game Theoretic Approach20233
  9. 14Selective Communication for Cooperative Perception in End-to-End Autonomous Driving20233
  10. 15Towards Socially Responsive Autonomous Vehicles: A Reinforcement Learning Framework with Driving Priors and Coordination Awareness20233
All 30
  1. 16Hybrid Reinforcement Learning-Based Eco-Driving Strategy for Connected and Automated Vehicles at Signalized Intersections20223
  2. 17Learning Eco-Driving Strategies at Signalized Intersections20223
  3. 18MDrive: Benchmarking Closed-Loop Cooperative Driving for End-to-End Multi-agent Systems20262
  4. 19Multi-Agent Reinforcement Learning-based Cooperative Autonomous Driving in Smart Intersections20252
  5. 20Generalizing Cooperative Eco-driving via Multi-residual Task Learning20242
  6. 21Robustness and Adaptability of Reinforcement Learning based Cooperative Autonomous Driving in Mixed-autonomy Traffic20222
  7. 22Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of Connected Autonomous Vehicles in Challenging Scenarios20222
  8. 23Prediction-aware and Reinforcement Learning based Altruistic Cooperative Driving20222
  9. 24A Deep Reinforcement Learning Framework for Eco-driving in Connected and Automated Hybrid Electric Vehicles20212
  10. 25Collaboration Between the City and Machine Learning Community is Crucial to Efficient Autonomous Vehicles Routing20251
  11. 26Sky-Drive: A Distributed Multi-Agent Simulation Platform for Human-AI Collaborative and Socially-Aware Future Transportation20251
  12. 27URB -- Urban Routing Benchmark for RL-equipped Connected Autonomous Vehicles20251
  13. 28CooperRisk: A Driving Risk Quantification Pipeline with Multi-Agent Cooperative Perception and Prediction20251
  14. 29Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition20251
  15. 30Edge-Based Multimodal Sensor Data Fusion with Vision Language Models (VLMs) for Real-time Autonomous Vehicle Accident Avoidance20251
  16. 31Digital Twin-based Cooperative Autonomous Driving in Smart Intersections: A Multi-Agent Reinforcement Learning Approach20251
  17. 32Augmented Intelligence in Smart Intersections: Local Digital Twins-Assisted Hybrid Autonomous Driving20241
  18. 33Bringing Diversity to Autonomous Vehicles: An Interpretable Multi-vehicle Decision-making and Planning Framework20231
  19. 34Cooperative Driving for Speed Harmonization in Mixed-Traffic Environments20231
  20. 35Multi-Agent Deep Reinforcement Learning for Cooperative and Competitive Autonomous Vehicles using AutoDRIVE Ecosystem20231