Awesome Multi-Agent Autonomous Driving 🚗 🚙 🚓 🚕 🏎️

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)

3. Submit the pull request to this branch.

Join Our Community

In addition, if you want to join our community for discussion, sharing, connections, and potential collaborations, please scan the WeChat QR code.

Table of Contents

• Related Materials
  • Surveys
  • Github Repos
• Paper Collection
  • Perception
  • Decision-Making
  • Planning
  • Communication
  • End-to-End
  • Dataset and Simulator
  • Security

Related Materials

Surveys

1. [TPAMI] 3D Object Detection From Images for Autonomous Driving: A Survey [PDF]
2. [TITS] 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] 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

Please refer to this page for the full list of the papers.

• Perception
• Decision-Making
• Planning
• Communication
• End-to-End
• Dataset and Simulator
• Security

Star History