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Multi-agent collaboration holds great promise for enhancing the safety, reliability, and mobility of autonomous driving systems by enabling information sharing among multiple connected agents.
Carla: An open urban driving simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun · 2017
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Object classification using cnn-based fusion of vision and lidar in autonomous vehicle environment
Hongbo Gao, Bo Cheng, Jianqiang Wang, Keqiang Li, Jianhui Zhao, and Deyi Li · 2018
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Cooper: Cooperative perception for connected autonomous vehicles based on 3d point clouds
Qi Chen, Sihai Tang, Qing Yang, and Song Fu · 2019
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Cooperative perception for 3d object detection in driving scenarios using infrastructure sensors
Eduardo Arnold, Mehrdad Dianati, Robert de Temple, and Saber Fallah · 2020
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Depth completion via inductive fusion of planar lidar and monocular camera
Chen Fu, Chiyu Dong, Christoph Mertz, and John M Dolan · 2020
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Multimodal deep-learning for object recognition combining camera and lidar data
Gledson Melotti, Cristiano Premebida, and Nuno Gonçalves · 2020
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V2vnet: Vehicle-to-vehicle communication for joint perception and prediction
Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wenyuan Zeng, and Raquel Urtasun · 2020
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Dsdnet: Deep structured self-driving network
Wenyuan Zeng, Shenlong Wang, Renjie Liao, Yun Chen, Bin Yang, and Raquel Urtasun · 2020
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Coff: Cooperative spatial feature fusion for 3-d object detection on autonomous vehicles
Jingda Guo, Dominic Carrillo, Sihai Tang, Qi Chen, Qing Yang, Song Fu, Xi Wang, Nannan Wang, and Paparao Palacharla · 2021
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Pillargrid: Deep learning-based cooperative perception for 3d object detection from onboard-roadside lidar
Zhengwei Bai, Guoyuan Wu, Matthew J Barth, Yongkang Liu, Emrah Akin Sisbot, and Kentaro Oguchi · 2022
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Coopernaut: End-to-end driving with cooperative perception for networked vehicles
Jiaxun Cui, Hang Qiu, Dian Chen, Peter Stone, and Yuke Zhu · 2022
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Vips: Real-time perception fusion for infrastructure-assisted autonomous driving
Shuyao Shi, Jiahe Cui, Zhehao Jiang, Zhenyu Yan, Guoliang Xing, Jianwei Niu, and Zhenchao Ouyang · 2022
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V2x-vit: Vehicle-to-everything cooperative perception with vision transformer
Runsheng Xu, Hao Xiang, Zhengzhong Tu, Xin Xia, Ming-Hsuan Yang, and Jiaqi Ma · 2022
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We need to talk: Identifying and overcoming communication-critical scenarios for self-driving
Nathaniel Moore Glaser and Zsolt Kira · 2023
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Collaboration helps camera overtake lidar in 3d detection
Yue Hu, Yifan Lu, Runsheng Xu, Weidi Xie, Siheng Chen, and Yanfeng Wang · 2023
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Towards vehicle-to-everything autonomous driving: A survey on collaborative perception
Si Liu, Chen Gao, Yuan Chen, Xingyu Peng, Xianghao Kong, Kun Wang, Runsheng Xu, Wentao Jiang, Hao Xiang, Jiaqi Ma, et al · 2023
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Gemini: a family of highly capable multimodal models
Gemini Team, Rohan Anil, Sebastian Borgeaud, Jean-Baptiste Alayrac, Jiahui Yu, Radu Soricut, Johan Schalkwyk, Andrew M Dai, Anja Hauth, Katie Millican, et al · 2023
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Core: Cooperative reconstruction for multi-agent perception
Binglu Wang, Lei Zhang, Zhaozhong Wang, Yongqiang Zhao, and Tianfei Zhou · 2023
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Bridging the domain gap for multi-agent perception
Runsheng Xu, Jinlong Li, Xiaoyu Dong, Hongkai Yu, and Jiaqi Ma · 2023
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React: Synergizing reasoning and acting in language models
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao · 2023
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Vehicle-infrastructure cooperative 3d object detection via feature flow prediction
Haibao Yu, Yingjuan Tang, Enze Xie, Jilei Mao, Jirui Yuan, Ping Luo, and Zaiqing Nie · 2023
Cited alongside, same era.
Can Cui, Zichong Yang, Yupeng Zhou, Juntong Peng, Sung-Yeon Park, Cong Zhang, Yunsheng Ma, Xu Cao, Wenqian Ye, Yiheng Feng, et al · 2024
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Generalizing end-to-end autonomous driving in real-world environments using zero-shot llms
Zeyu Dong, Yimin Zhu, Yansong Li, Kevin Mahon, and Yu Sun · 2024
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Prompting multi-modal tokens to enhance end-to-end autonomous driving imitation learning with llms
Yiqun Duan, Qiang Zhang, and Renjing Xu · 2024
Cited alongside, same era.
Autotrust: Benchmarking trustworthiness in large vision language models for autonomous driving
Shuo Xing, Hongyuan Hua, Xiangbo Gao, Shenzhe Zhu, Renjie Li, Kexin Tian, Xiaopeng Li, Heng Huang, Tianbao Yang, Zhangyang Wang, et al · 2024
Later among the works it cites.
Drivegpt4: Interpretable end-to-end autonomous driving via large language model
Zhenhua Xu, Yujia Zhang, Enze Xie, Zhen Zhao, Yong Guo, Kwan-Yee K Wong, Zhenguo Li, and Hengshuang Zhao · 2024
Later among the works it cites.
Comal: Collaborative multi-agent large language models for mixed-autonomy traffic
Huaiyuan Yao, Longchao Da, Vishnu Nandam, Justin Turnau, Zhiwei Liu, Linsey Pang, and Hua Wei · 2024
Later among the works it cites.
V2x-vlm: End-to-end v2x cooperative autonomous driving through large vision-language models
Junwei You, Haotian Shi, Zhuoyu Jiang, Zilin Huang, Rui Gan, Keshu Wu, Xi Cheng, Xiaopeng Li, and Bin Ran · 2024
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Shiyu Fang, Jiaqi Liu, Mingyu Ding, Yiming Cui, Chen Lv, Peng Hang, and Jian Sun · 2024
Cited alongside, same era.
The llama 3 herd of models
Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Alex Vaughan, et al · 2024
Cited alongside, same era.
Emma: End-to-end multimodal model for autonomous driving
Jyh-Jing Hwang, Runsheng Xu, Hubert Lin, Wei-Chih Hung, Jingwei Ji, Kristy Choi, Di Huang, Tong He, Paul Covington, Benjamin Sapp, et al · 2024
Cited alongside, same era.
Traj-llm: A new exploration for empowering trajectory prediction with pre-trained large language models
Zhengxing Lan, Lingshan Liu, Bo Fan, Yisheng Lv, Yilong Ren, and Zhiyong Cui · 2024
Cited alongside, same era.
Large language models for human-like autonomous driving: A survey
Yun Li, Kai Katsumata, Ehsan Javanmardi, and Manabu Tsukada · 2024
Cited alongside, same era.
Generative ai-driven semantic communication networks: Architecture, technologies and applications
Chengsi Liang, Hongyang Du, Yao Sun, Dusit Niyato, Jiawen Kang, Dezong Zhao, and Muhammad Ali Imran · 2024
Cited alongside, same era.
Towards collaborative autonomous driving: Simulation platform and end-to-end system
Genjia Liu, Yue Hu, Chenxin Xu, Weibo Mao, Junhao Ge, Zhengxiang Huang, Yifan Lu, Yinda Xu, Junkai Xia, Yafei Wang, et al · 2024
Cited alongside, same era.
An extensible framework for open heterogeneous collaborative perception
Yifan Lu, Yue Hu, Yiqi Zhong, Dequan Wang, Siheng Chen, and Yanfeng Wang · 2024
Cited alongside, same era.
Generative ai-enabled vehicular networks: Fundamentals, framework, and case study
Ruichen Zhang, Ke Xiong, Hongyang Du, Dusit Niyato, Jiawen Kang, Xuemin Shen, and H Vincent Poor · 2024
Later among the works it cites.
V2v-llm: Vehicle-to-vehicle cooperative autonomous driving with multi-modal large language models
Hsu-kuang Chiu, Ryo Hachiuma, Chien-Yi Wang, Stephen F Smith, Yu-Chiang Frank Wang, and Min-Hung Chen · 2025
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Talking vehicles: Cooperative driving via natural language, 2025
Jiaxun Cui, Chen Tang, Jarrett Holtz, Janice Nguyen, Alessandro G Allievi, Hang Qiu, and Peter Stone · 2025
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Generative ai in transportation planning: A survey
Longchao Da, Tiejin Chen, Zhuoheng Li, Shreyas Bachiraju, Huaiyuan Yao, Xiyang Hu, Zhengzhong Tu, Yue Zhao, Dongjie Wang, Ram Pendyala, et al · 2025
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Stamp: Scalable task and model-agnostic collaborative perception
Xiangbo Gao, Runsheng Xu, Jiachen Li, Ziran Wang, Zhiwen Fan, and Zhengzhong Tu · 2025
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Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning
Daya Guo, Dejian Yang, Haowei Zhang, Junxiao Song, Ruoyu Zhang, Runxin Xu, Qihao Zhu, Shirong Ma, Peiyi Wang, Xiao Bi, et al · 2025
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On the trustworthiness of generative foundation models: Guideline, assessment, and perspective
Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, et al · 2025
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Alphadrive: Unleashing the power of vlms in autonomous driving via reinforcement learning and reasoning, 2025
Bo Jiang, Shaoyu Chen, Qian Zhang, Wenyu Liu, and Xinggang Wang · 2025
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Senserag: Constructing environmental knowledge bases with proactive querying for llm-based autonomous driving
Xuewen Luo, Chenxi Liu, Fan Ding, Fengze Yang, Yang Zhou, Junnyong Loo, and Hwa Hui Tew · 2025
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Introducing chatgpt
OpenAI · 2025
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Stalled waymo creates traffic chaos in the mission
The San Francisco Standard · 2025
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Cocmt: Communication-efficient cross-modal transformer for collaborative perception
Rujia Wang, Xiangbo Gao, Hao Xiang, Runsheng Xu, and Zhengzhong Tu · 2025
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V2x-llm: Enhancing v2x integration and understanding in connected vehicle corridors
Keshu Wu, Pei Li, Yang Zhou, Rui Gan, Junwei You, Yang Cheng, Jingwen Zhu, Steven T Parker, Bin Ran, David A Noyce, et al · 2025
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Openemma: Open-source multimodal model for end-to-end autonomous driving
Shuo Xing, Chengyuan Qian, Yuping Wang, Hongyuan Hua, Kexin Tian, Yang Zhou, and Zhengzhong Tu · 2025
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Enhancing highway safety: Accident detection on the a9 test stretch using roadside sensors
Walter Zimmer, Ross Greer, Xingcheng Zhou, Rui Song, Marc Pavel, Daniel Lehmberg, Ahmed Ghita, Akshay Gopalkrishnan, Mohan Trivedi, and Alois Knoll · 2025
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