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Awesome Multi-Agent Autonomous Driving 🚗 🚙 🚓 🚕 🏎️

MAAD

This is a repository for collecting resources about Multi-Agent Autonomous Driving (MAAD). Different from single-agent autonomous driving which mainly focus on enhancing the driving capabilities of a single vehicle, MAAD focuses on the collaboration and interaction between multiple agents including vehicles and infrastructure.

If you want to understand the FULL-STACK technology of MULTI-AGENT AUTONOMOUS DRIVING, then this repo is definitely for you!

Come and Join Us! 👊🇨🇳🔥

Contribution

Feel free to pull requests or contact us if you find any related papers that are not included here.

The process to submit a pull request is as follows:

  1. Fork the project into your own repository.
  2. Add the Title, Paper link, Conference, Project/Code link in papers.md using the following format:
  `[Journal/Conference]` Paper Title [Code/Project](Code/Project link)
  1. Submit the pull request to this branch.

Table of Contents

Related Materials

Surveys

  1. [TPAMI'24] 3D Object Detection From Images for Autonomous Driving: A Survey [PDF]
  2. [TITS'24] A Survey on Recent Advancements in Autonomous Driving Using Deep Reinforcement Learning: Applications, Challenges, and Solutions [PDF]
  3. [ESWA] Autonomous driving system: A comprehensive survey [PDF]
  4. [TPAMI'24] Delving Into the Devils of Bird's-Eye-View Perception: A Review, Evaluation and Recipe [PDF]
  5. [TPAMI] End-to-End Autonomous Driving: Challenges and Frontiers [PDF, Code]
  6. [arXiv] LLM4Drive: A Survey of Large Language Models for Autonomous Driving [PDF, Code]
  7. [arXiv] Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances [PDF, Code]
  8. [WACV Workshop] A Survey on Multimodal Large Language Models for Autonomous Driving [PDF]
  9. [arXiv] A Survey of Reasoning with Foundation Models [PDF, Code]
  10. [arXiv] Collaborative Perception for Connected and Autonomous Driving: Challenges, Possible Solutions and Opportunities [PDF]
  11. [Annual Review of Control, Robotics, and Autonomous Systems] Planning and decision-making for autonomous vehicles [PDF]
  12. [Chinese Journal of Mechanical Engineering] Planning and Decision-making for Connected Autonomous Vehicles at Road Intersections: A Review [PDF]
  13. [COMST'22] A Survey of Collaborative Machine Learning Using 5G Vehicular Communications [PDF]
  14. [arXiv] Collaborative Perception for Connected and Autonomous Driving: Challenges, Possible Solutions and Opportunities [PDF]
  15. [Proceedings of the IEEE] 6G for Vehicle-to-Everything (V2X) Communications: Enabling Technologies, Challenges, and Opportunities [PDF]

Github Repos

  1. Awesome Autonomous Driving
  2. Autonomous Driving Datasets
  3. Awesome 3D Object Detection for Autonomous Driving
  4. CVPR 2024 Papers on Autonomous Driving
  5. End-to-End Autonomous Driving
  6. End-to-End Autonomous Driving (OpenDriveLab)
  7. Collaborative Perception

Paper Collection

Perception

  1. [ICRA'25] CoopDETR: A Unified Cooperative Perception Framework for 3D Detection via Object Query [PDF]
  2. [arXiv] V2V-LLM: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multi-Modal Large Language Models [PDF]
  3. [CVPR'25] CoSDH: Communication-Efficient Collaborative Perception via Supply-Demand Awareness and Intermediate-Late Hybridization [PDF] [Code]
  4. [CVPR'25] One is Plenty: A Polymorphic Feature Interpreter for Immutable Heterogeneous Collaborative Perception [PDF]
  5. [CVPR'25] SparseAlign: A Fully Sparse Framework for Cooperative Object Detection [PDF]
  6. [CVPR'25] V2X-R: Cooperative LiDAR-4D Radar Fusion for 3D Object Detection with Denoising Diffusion [PDF] [Code]
  7. [TITS'24] Toward Full-Scene Domain Generalization in Multi-Agent Collaborative Bird's Eye View Segmentation for Connected and Autonomous Driving [PDF]
  8. [CVPR'24] Collaborative Semantic Occupancy Prediction with Hybrid Feature Fusion in Connected Automated Vehicles [PDF] [Code]
  9. [ECCV'24] Hetecooper: Feature Collaboration Graph for Heterogeneous Collaborative Perception [PDF]
  10. [ECCV'24] Rethinking the Role of Infrastructure in Collaborative Perception [PDF]
  11. [NeurIPS'24] Learning Cooperative Trajectory Representations for Motion Forecasting [PDF] [Code]
  12. [ICLR'24] An Extensible Framework for Open Heterogeneous Collaborative Perception [PDF] [Code]
  13. [AAAI'24] What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception [PDF] [Code]
  14. [AAAI'24] DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection [PDF] [Code]
  15. [AAAI'24] DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving [PDF] [Code]
  16. [WACV'24] MACP: Efficient Model Adaptation for Cooperative Perception [PDF] [Code]
  17. [ICRA'24] Probabilistic 3D Multi-Object Cooperative Tracking for Autonomous Driving via Differentiable Multi-Sensor Kalman Filter [PDF] [Code]
  18. [ICRA'24] Robust Collaborative Perception without External Localization and Clock Devices [PDF] [Code]
  19. [ICCV'23] Spatio-Temporal Domain Awareness for Multi-Agent Collaborative Perception [PDF] [Webpage]
  20. [ICCV'23] HM-ViT: Hetero-modal Vehicle-to-Vehicle Cooperative Perception with Vision Transformer [PDF] [Code]
  21. [ICCV'23] CORE: Cooperative Reconstruction for Multi-Agent Perception [PDF] [Code]
  22. [ICCV'23] Among Us: Adversarially Robust Collaborative Perception by Consensus [PDF] [Code]
  23. [ICCV'23] Spatio-Temporal Domain Awareness for Multi-Agent Collaborative Perception [PDF] [Code]
  24. [ICCV'23] TransIFF: An Instance-Level Feature Fusion Framework for Vehicle-Infrastructure Cooperative 3D Detection with Transformers [PDF]
  25. [ICCV'23] UMC: A Unified Bandwidth-Efficient and Multi-Resolution Based Collaborative Perception Framework [PDF] [Code]
  26. [CVPR'23] Query-Centric Trajectory Prediction [PDF] [Code]
  27. [CVPR'23] Collaboration Helps Camera Overtake LiDAR in 3D Detection [PDF] [Code]
  28. [CVPR'23] BEVHeight: A Robust Framework for Vision-Based Roadside 3D Object Detection [PDF] [Code]
  29. [CVPR'23] Collaboration Helps Camera Overtake LiDAR in 3D Detection [PDF] [Code]
  30. [CVPR'23] V2X-Seq: The Large-Scale Sequential Dataset for the Vehicle-Infrastructure Cooperative Perception and Forecasting [PDF] [Code]
  31. [NeurIPS'23] Robust Asynchronous Collaborative 3D Detection via Bird's Eye View Flow [PDF] [Code]
  32. [NeurIPS'23] Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection [PDF] [Code]
  33. [NeurIPS'23] How2comm: Communication-Efficient and Collaboration-Pragmatic Multi-Agent Perception [PDF] [Code]
  34. [TIV'23] HYDRO-3D: Hybrid object detection and tracking for cooperative perception using 3D LiDAR [PDF]
  35. [ICLR'23] CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving [PDF] [Code]
  36. [CoRL'23] BM2CP: Efficient Collaborative Perception with LiDAR-Camera Modalities [PDF] [Code]
  37. [ACMMM'23] DUSA: Decoupled Unsupervised Sim2Real Adaptation for Vehicle-to-Everything Collaborative Perception [PDF] [Code]
  38. [ACMMM'23] FeaCo: Reaching Robust Feature-Level Consensus in Noisy Pose Conditions [PDF] [Code]
  39. [ACMMM'23] What2comm: Towards Communication-Efficient Collaborative Perception via Feature Decoupling [PDF] [Code]
  40. [WACV'23] Adaptive Feature Fusion for Cooperative Perception Using LiDAR Point Clouds [PDF] [Code]
  41. [ICRA'23] Bridging the Domain Gap for Multi-Agent Perception [PDF] [Code]
  42. [ICRA'23] Robust Collaborative 3D Object Detection in Presence of Pose Errors [PDF] [Code]
  43. [ICRA'23] Deep Masked Graph Matching for Correspondence Identification in Collaborative Perception [PDF] [Code]
  44. [ICRA'23] Uncertainty Quantification of Collaborative Detection for Self-Driving [PDF] [Code]
  45. [ICRA'23] Model-Agnostic Multi-Agent Perception Framework [PDF] [Code]
  46. [CoRL'22] CoBEVT: Cooperative bird's eye view semantic segmentation with sparse transformers [PDF] [Code]
  47. [CVPR'22] COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked Vehicles [PDF] [Code]
  48. [CVPR'22] Learning from All Vehicles [PDF] [Code]
  49. [ECCV'22] Latency-Aware Collaborative Perception [PDF] [Code]
  50. [ECCV'22] V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer [PDF] [Code]
  51. [CoRL'22] Multi-Robot Scene Completion: Towards Task-Agnostic Collaborative Perception [PDF] [Code]
  52. [ACMMM'22] Complementarity-Enhanced and Redundancy-Minimized Collaboration Network for Multi-agent Perception [PDF]
  53. [ICRA'22] Multi-Robot Collaborative Perception with Graph Neural Networks [PDF]

Decision-Making

  1. [TMC'25] AgentsCoMerge: Large Language Model Empowered Collaborative Decision Making for Ramp Merging [PDF]
  2. [arXiv] A Vehicle-Infrastructure Multi-layer Cooperative Decision-making Framework [PDF]
  3. [arXiv'24] CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic [PDF][Code]
  4. [arXiv'24] AGENTSCODRIVER: Large Language Model Empowered Collaborative Driving with Lifelong Learning [PDF]
  5. [arXiv] Research on Autonomous Driving Decision-making Strategies based Deep Reinforcement Learning [PDF]
  6. [ECCV'24] MAPPO-PIS: A Multi-Agent Proximal Policy Optimization Method with Prior Intent Sharing for CAVs' Cooperative Decision-Making [PDF] [Code]
  7. [TITS'24] Cooperative decision-making for cavs at unsignalized intersections: A marl approach with attention and hierarchical game priors [PDF]
  8. [TITS'24] A Multi-Agent Reinforcement Learning Approach for Safe and Efficient Behavior Planning of Connected Autonomous Vehicles [PDF]
  9. [TVT'24] Towards Interactive and Learnable Cooperative Driving Automation: a Large Language Model-Driven Decision-Making Framework [PDF][Code]
  10. [TIV'24] KoMA: Knowledge-driven Multi-agent Framework for Autonomous Driving with Large Language Models [PDF] [Code]
  11. [World Electric Vehicle Journal'24] A Review of Decision-Making and Planning for Autonomous Vehicles in Intersection Environments [PDF]
  12. [TVT'24] Decision-Making for Autonomous Vehicles in Random Task Scenarios at Unsignalized Intersection Using Deep Reinforcement Learning [PDF]
  13. [DDCLS'24] A Brief Survey of Deep Reinforcement Learning for Intersection Navigation of Autonomous Vehicles [PDF]
  14. [ICDE'24] Parameterized Decision-making with Multi-modality Perception for Autonomous Driving [PDF]
  15. [ICDE'24] Parameterized Decision-Making with Multi-Modality Perception for Autonomous Driving [PDF]
  16. [RAL'24] Language-driven policy distillation for cooperative driving in multi-agent reinforcement learning [PDF]
  17. [IoTML] Research on Autonomous Driving Decision-making Strategies based Deep Reinforcement Learning [PDF]
  18. [ITSC'23] Curriculum Proximal Policy Optimization with Stage-Decaying Clipping for Self-Driving at Unsignalized Intersections [PDF]
  19. [IV'23] Hybrid Decision Making for Autonomous Driving in Complex Urban Scenarios [PDF]
  20. [TIV'23] Robust Lane Change Decision Making for Autonomous Vehicles: An Observation Adversarial Reinforcement Learning Approach [PDF]
  21. [TITS'23] Robust Decision Making for Autonomous Vehicles at Highway On-Ramps: A Constrained Adversarial Reinforcement Learning Approach [PDF]
  22. [TVT'23] Exploiting Multi-Modal Fusion for Urban Autonomous Driving Using Latent Deep Reinforcement Learning [PDF]
  23. [TIV'23] A Multi-Vehicle Game-Theoretic Framework for Decision Making and Planning of Autonomous Vehicles in Mixed Traffic [PDF]
  24. [TVT'23] Towards Robust Decision-Making for Autonomous Driving on Highway [PDF][Code]
  25. [IEEE Transactions on Transportation Electrification'23] Interaction-Aware Decision-Making for Autonomous Vehicles [PDF]
  26. [ICRA'23] Failure Detection for Motion Prediction of Autonomous Driving: An Uncertainty Perspective [PDF]
  27. [TITS'23] Deep Multi-agent Reinforcement Learning for Highway On-Ramp Merging in Mixed Traffic [PDF][Code]
  28. [arXiv'23] Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of Connected Autonomous Vehicles in Challenging Scenarios [PDF]
  29. [arXiv'23] Multi-Agent Reinforcement Learning Guided by Signal Temporal Logic Specifications [PDF]
  30. [TITS'23] Coordinating CAV Swarms at Intersections With a Deep Learning Model [PDF]
  31. [National Conference on Sensors'23] A Comprehensive Survey on Multi-Agent Reinforcement Learning for Connected and Automated Vehicles [PDF]
  32. [arXiv] Bringing Diversity to Autonomous Vehicles: An Interpretable Multi-vehicle Decision-making and Planning Framework [PDF]
  33. [ISSN'22] Reinforcement Learning-Based Autonomous Driving at Intersections in CARLA Simulator [PDF]
  34. [Autonomous Intelligent Systems'22] Multi-agent Reinforcement Learning for Cooperative Lane Changing of Connected and Autonomous Vehicles in Mixed Traffic [PDF]
  35. [TVT'22] Highway Decision-Making and Motion Planning for Autonomous Driving via Soft Actor-Critic [PDF]
  36. [TITS'22] PNNUAD: Perception Neural Networks Uncertainty Aware Decision-Making for Autonomous Vehicle [PDF]
  37. [CoRL'22] Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System [PDF]
  38. [TITS'22] Social Coordination and Altruism in Autonomous Driving [PDF]
  39. [TITS'22] Multi-Agent DRL-Based Lane Change With Right-of-Way Collaboration Awareness [PDF]
  40. [arXiv'22] Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges [PDF] [Code]
  41. [Autonomous Intelligent Systems'22] Multi-agent reinforcement learning for autonomous vehicles: a survey [PDF]
  42. [IROS'21] Cooperative Autonomous Vehicles that Sympathize with Human Drivers [PDF] [Code]
  43. [CoRL'20] SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving [PDF][Code]

Planning

  1. [arXiv] CoDriveVLM: VLM-Enhanced Urban Cooperative Dispatching and Motion Planning for Future Autonomous Mobility on Demand Systems [PDF][Code]
  2. [arXiv] Improved Consensus ADMM for Cooperative Motion Planning of Large-Scale Connected Autonomous Vehicles with Limited Communication [PDF][Code]
  3. [arXiv] THOMAS: TRAJECTORY HEATMAP OUTPUT WITH LEARNED MULTI-AGENT SAMPLING [PDF]
  4. [arXiv] Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding [PDF)][Code]
  5. [TPAMI'24] MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying [PDF]
  6. [AAAI'24] EDA: Evolving and Distinct Anchors for Multimodal Motion Prediction [PDF] [Code]
  7. [ICRA'24] Parallel Optimization with Hard Safety Constraints for Cooperative Planning of Connected Autonomous Vehicles [PDF]
  8. [RAL'24] SIMPL: A Simple and Efficient Multi-Agent Motion Prediction Baseline for Autonomous Driving [PDF]
  9. [RAL'24] CMP: Cooperative Motion Prediction With Multi-Agent Communication [PDF]
  10. [NeurIPS'24] SMART: Scalable Multi-agent Real-time Motion Generation via Next-token Prediction [PDF [Code]
  11. [IEEE Internet of Things Journal'24] Coordination for Connected and Autonomous Vehicles at Unsignalized Intersections: An Iterative Learning-Based Collision-Free Motion Planning Method [PDF]
  12. [ICCV'23] BiFF: Bi-level Future Fusion with Polyline-based Coordinate for Interactive Trajectory Prediction [PDF]
  13. [CVPR'23] ProphNet: Efficient Agent-Centric Motion Forecasting with Anchor-Informed Proposals [PDF]
  14. [CVPR'23] FJMP: Factorized Joint Multi-Agent Motion Prediction over Learned Directed Acyclic Interaction Graphs [PDF][Code]
  15. [CVPR'23] MotionDiffuser: Controllable Multi-Agent Motion Prediction Using Diffusion [PDF
  16. [ICRA'23] Wayformer: Motion Forecasting via Simple & Efficient Attention Networks [PDF]
  17. [ICRA'23] GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting [PDF]
  18. [ICRA'23] GANet: Goal Area Network for Motion Forecasting [PDF][Code]
  19. [TITS'23] Decentralized iLQR for Cooperative Trajectory Planning of Connected Autonomous Vehicles via Dual Consensus ADMM [PDF]
  20. [TIV'23] Fault-tolerant cooperative driving at signal-free intersections [PDF]
  21. [TIV'23] OpenCDA-ROS: Enabling Seamless Integration of Simulation and Real-World Cooperative Driving Automation [PDF
  22. [TIV'23] Optimal Trajectory Planning for Connected and Automated Vehicles in Lane-Free Traffic With Vehicle Nudging [PDF]
  23. [TIV'23] Multi-Vehicle Conflict Management With Status and Intent Sharing Under Time Delays [PDF]
  24. [TIV'23] Optimizing Vehicle Re-Ordering Events in Coordinated Autonomous Intersection Crossings Under CAVs' Location Uncertainty [PDF]
  25. [TIV'23] Optimizing Vehicle Re-Ordering Events in Coordinated Autonomous Intersection Crossings Under CAVs' Location Uncertainty [PDF]
  26. [IEEE Robotics and Automation Letters'23] MacFormer: Map-Agent Coupled Transformer for Real-Time and Robust Trajectory Prediction [PDF]
  27. [ICCV'23] Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders [PDF]
  28. [CoRL'23] iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning[PDF][Code]
  29. [NeurIPS'22] Motion Transformer with Global Intention Localization and Local Movement Refinement [PDF] [Code]
  30. [CVPR'22] HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction [PDF][Code]
  31. [ICRA'22] MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction [PDF]
  32. [ICRA'22] GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation [PDF]
  33. [TPAMI'22] HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding [PDF]
  34. [TITS'22] Cooperative Formation of Autonomous Vehicles in Mixed Traffic Flow: Beyond Platooning [PDF]
  35. [TVT'22] Multi-Lane Unsignalized Intersection Cooperation With Flexible Lane Direction Based on Multi-Vehicle Formation Control [PDF]
  36. [ICCV'21] DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets [PDF]
  37. [ITSC'21] OpenCDA: An Open Cooperative Driving Automation Framework Integrated with Co-Simulation [PDF] [Code]

Communication

  1. [CVPR'24] Communication-Efficient Collaborative Perception via Information Filling with Codebook [PDF] [Code]
  2. [CVPR'24] ERMVP: Communication-Efficient and Collaboration-Robust Multi-Vehicle Perception in Challenging Environments [PDF] [Code]
  3. [CVPR'24] Multi-Agent Collaborative Perception via Motion-Aware Robust Communication Network [PDF] [Code]
  4. [ICRA'23] Communication-Critical Planning via Multi-Agent Trajectory Exchange [PDF]
  5. [ICRA'23] We Need to Talk: Identifying and Overcoming Communication-Critical Scenarios for Self-Driving [PDF]
  6. [IJCAI'22] Robust Collaborative Perception against Communication Interruption [PDF]

End-to-End

  1. [IV'24] ICOP: Image-based Cooperative Perception for End-to-End Autonomous Driving [paper]
  2. [TIV'23] End-to-end Autonomous Driving with Semantic Depth Cloud Mapping and Multi-agent [paper] [code]
  3. [AAAI'22] CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-Based Autonomous Urban Driving [paper] [code]
  4. [CVPR'22] COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked Vehicles [paper] [code]
  5. [NeurIPS'21] Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization [paper] [code] [Webpage]
  6. [arXiv] End-to-End Autonomous Driving through V2X Cooperation [paper] [code]
  7. [arXiv] Towards Collaborative Autonomous Driving: Simulation Platform and End-to-End System [paper] [code]
  8. [arXiv] AgentsCoMerge: Large Language Model Empowered Collaborative Decision Making for Ramp Merging [paper]
  9. [arXiv] AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning [paper]

Dataset and Simulator

Dataset

  1. [CoRL'17] CARLA: An Open Urban Driving Simulator [PDF] [Code] [Webpage] CARLA
  2. [ICCV'21] V2X-Sim: Multi-Agent Collaborative Perception Dataset and Benchmark for Autonomous Driving [PDF] [Code] [Webpage] V2X-Sim
  3. [ACCV'22] DOLPHINS: Dataset for Collaborative Perception Enabled Harmonious and Interconnected Self-Driving [PDF] [Code] [Webpage] DOLPHINS
  4. [ICRA'22] OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication [PDF] [Code] [Webpage] OPV2V
  5. [ECCV'22] V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer [PDF] [Code] [Webpage] V2X-ViT
  6. [CVPR'22] COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked Vehicles [PDF] [Code] [Webpage] AutoCastSim
  7. [CVPR'22] DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection [PDF] [Code] [Webpage] DAIR-V2X
  8. [NeurIPS'22] Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Maps [PDF&review] [Code] [Webpage] CoPerception-UAV
  9. [NeurIPS'23] Robust Asynchronous Collaborative 3D Detection via Bird's Eye View Flow [PDF&review] IRV2V
  10. [CVPR'23] Collaboration Helps Camera Overtake LiDAR in 3D Detection [PDF] [Code] [Webpage] CoPerception-UAV+ OPV2V+
  11. [CVPR'23] V2V4Real: A Large-Scale Real-World Dataset for Vehicle-to-Vehicle Cooperative Perception [PDF] [Code] [Webpage] V2V4Real
  12. [CVPR'23] V2X-Seq: The Large-Scale Sequential Dataset for the Vehicle-Infrastructure Cooperative Perception and Forecasting [PDF] [Code] [Webpage] DAIR-V2X-Seq
  13. [ICRA'23] Robust Collaborative 3D Object Detection in Presence of Pose Errors [PDF] [Code] [Webpage] DAIR-V2X-C Complemented
  14. [ICCV'23] Optimizing the Placement of Roadside LiDARs for Autonomous Driving [PDF] Roadside-Opt
  15. [AAAI'24] DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving [PDF] [Code] [Webpage] DeepAccident
  16. [ICLR'24] An Extensible Framework for Open Heterogeneous Collaborative Perception [PDF&review] [Code] [Webpage] OPV2V-H
  17. [CVPR'24] HoloVIC: Large-Scale Dataset and Benchmark for Multi-Sensor Holographic Intersection and Vehicle-Infrastructure Cooperative [PDF] [Webpage] HoloVIC
  18. [CVPR'24] Multiagent Multitraversal Multimodal Self-Driving: Open MARS Dataset [PDF] [Code] [Webpage] Open Mars Dataset
  19. [CVPR'24] RCooper: A Real-World Large-Scale Dataset for Roadside Cooperative Perception [PDF] [Code] [Webpage] RCooper
  20. [CVPR'24] TUMTraf V2X Cooperative Perception Dataset [PDF] [Code] [Webpage] TUMTraf-V2X
  21. [CVPR'24] Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents [PDF] [Code] [Webpage] ChatSim
  22. [ECCV'24] H-V2X: A Large Scale Highway Dataset for BEV Perception [PDF] H-V2X
  23. [NeurIPS'24] Learning Cooperative Trajectory Representations for Motion Forecasting [PDF] [Code] [Webpage] DAIR-V2X-Traj
  24. [NeurIPS'24] SMART: Scalable Multi-agent Real-time Motion Generation via Next-token Prediction [PDF] [Code] [Webpage] SMART
  25. [CVPR'25] Mono3DVLT: Monocular-Video-Based 3D Visual Language Tracking [PDF] Mono3DVLT-V2X
  26. [CVPR'25] RCP-Bench: Benchmarking Robustness for Collaborative Perception Under Diverse Corruptions [PDF] RCP-Bench
  27. [CVPR'25] V2X-R: Cooperative LiDAR-4D Radar Fusion for 3D Object Detection with Denoising Diffusion [PDF] [Code] V2X-R
  28. [arXiv] Adver-City: Open-Source Multi-Modal Dataset for Collaborative Perception Under Adverse Weather Conditions [PDF] [Code] [Webpage] Adver-City
  29. [arXiv] CP-Guard+: A New Paradigm for Malicious Agent Detection and Defense in Collaborative Perception [PDF] CP-GuardBench
  30. [arXiv] DriveGen: Toward Infinite Diverse Traffic Scenarios with Large Models [PDF] DriveGen
  31. [arXiv] Griffin: Aerial-Ground Cooperative Detection and Tracking Dataset and Benchmark [PDF] [Code] [Webpage] Griffin
  32. [arXiv] InScope: A New Real-world 3D Infrastructure-side Collaborative Perception Dataset for Open Traffic Scenarios [PDF] [Code] InScope
  33. [arXiv] Mixed Signals: A Diverse Point Cloud Dataset for Heterogeneous LiDAR V2X Collaboration [PDF] [Code] [Webpage] Mixed Signals
  34. [arXiv] Multi-V2X: A Large Scale Multi-modal Multi-penetration-rate Dataset for Cooperative Perception [PDF] [Code] Multi-V2X
  35. [arXiv] RCDN: Towards Robust Camera-Insensitivity Collaborative Perception via Dynamic Feature-based 3D Neural Modeling [PDF] OPV2V-N
  36. [arXiv] V2V-LLM: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multi-Modal Large Language Models [PDF] [Code] [Webpage] V2V-QA
  37. [arXiv] V2XPnP: Vehicle-to-Everything Spatio-Temporal Fusion for Multi-Agent Perception and Prediction [PDF] [Code] [Webpage] V2XPnP-Seq
  38. [arXiv] V2X-Radar: A Multi-Modal Dataset with 4D Radar for Cooperative Perception [PDF] [Webpage] V2X-Radar
  39. [arXiv] V2X-Real: a Large-Scale Dataset for Vehicle-to-Everything Cooperative Perception [PDF] [Webpage] V2X-Real
  40. [arXiv] V2X-ReaLO: An Open Online Framework and Dataset for Cooperative Perception in Reality [PDF] V2X-ReaLO
  41. [arXiv] WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving [PDF] [Code] [Webpage] WHALES
  42. [arXiv] DriveGen: Towards Infinite Diverse Traffic Scenarios with Large Models [PDF] DriveGen-CS
  43. [arXiv] Towards Collaborative Autonomous Driving: Simulation Platform and End-to-End System [PDF] [Code] V2Xverse

Simulator

  1. [CoRL'17] CARLA: An Open Urban Driving Simulator [PDF] [Code] [Webpage] CARLA
  2. [CVPR'24] Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents [PDF] [Code] [Webpage] ChatSim
  3. [NeurIPS'24] NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking [PDF] [Code] [Webpage] NAVSIM
  4. [arXiv] DriveGen: Towards Infinite Diverse Traffic Scenarios with Large Models [PDF] DriveGen
  5. [arXiv] Towards Collaborative Autonomous Driving: Simulation Platform and End-to-End System [PDF] [Code] V2Xverse

Security and Robustness

  1. [TMC'25] Collaborative Perception Against Data Fabrication Attacks in Vehicular Networks [PDF]
  2. [AAAI'25 Oral] CP-Guard: Malicious Agent Detection and Defense in Collaborative Bird's Eye View Perception [PDF, Code]
  3. [IROS'24] Malicious Agent Detection for Robust Multi-Agent Collaborative Perception [PDF, Code]
  4. [ICRA'24] AdvGPS: Adversarial GPS for Multi-Agent Perception Attack [PDF] [Code]
  5. [JATS'24] RAMPART: Reinforcing Autonomous Multi-Agent Protection through Adversarial Resistance in Transportation [PDF]
  6. [TITS'24] A Survey of Multi-Vehicle Consensus in Uncertain Networks for Autonomous Driving [PDF]
  7. [USENIX Security'24] On Data Fabrication in Collaborative Vehicular Perception: Attacks and Countermeasures [PDF]
  8. [AAAI'24] Robust Communicative Multi-Agent Reinforcement Learning with Active Defense [PDF]
  9. [VehicleSec'23] Cooperative Perception for Safe Control of Autonomous Vehicles under LiDAR Spoofing Attacks [PDF]
  10. [ICCV'23] Among Us: Adversarially Robust Collaborative Perception by Consensus [PDF, Code]
  11. [TDSC'23] MARNet: Backdoor Attacks Against Cooperative Multi-Agent Reinforcement Learning [PDF]
  12. [NeurIPS'23] Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning [PDF]
  13. [TITS'22] A Survey on Cyber-Security of Connected and Autonomous Vehicles (CAVs) [PDF]
  14. [ICCV'21] Adversarial Attacks On Multi-Agent Communication [PDF]
  15. [arXiv] GCP: Guarded Collaborative Perception with Spatial-Temporal Aware Malicious Agent Detection [PDF]
  16. [arXiv] CP-Guard+: A New Paradigm for Malicious Agent Detection and Defense in Collaborative Perception [PDF]
  17. [arXiv] A Multi-Agent Security Testbed for the Analysis of Attacks and Defenses in Collaborative Sensor Fusion [PDF]
  18. [ACM Computing Surveys] Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning [PDF]

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