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Cooperative perception enabled by Vehicle-to-Everything (V2X) communication holds significant promise for enhancing the perception capabilities of autonomous vehicles, allowing them to overcome occlusions and extend their field of view.
Ros: an open-source robot operating system
Morgan Quigley, Ken Conley, Brian Gerkey, Josh Faust, Tully Foote, Jeremy Leibs, Rob Wheeler, Andrew Y Ng, et al · 2009
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Analysis of v2x communication parameters for the development of a fusion architecture for cooperative perception systems
Andreas Rauch, Felix Klanner, and Klaus Dietmayer · 2011
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Multivehicle cooperative driving using cooperative perception: Design and experimental validation
Seong-Woo Kim, Baoxing Qin, Zhuang Jie Chong, Xiaotong Shen, Wei Liu, Marcelo H Ang, Emilio Frazzoli, and Daniela Rus · 2014
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Carla: An open urban driving simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun · 2017
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Collaborative automated driving: A machine learning-based method to enhance the accuracy of shared information
Zaydoun Yahya Rawashdeh and Zheng Wang · 2018
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Pixor: Real-time 3d object detection from point clouds
Bin Yang, Wenjie Luo, and Raquel Urtasun · 2018
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F-cooper: Feature based cooperative perception for autonomous vehicle edge computing system using 3d point clouds
Qi Chen, Xu Ma, Sihai Tang, Jingda Guo, Qing Yang, and Song Fu · 2019
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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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Pointpillars: Fast encoders for object detection from point clouds
Alex H Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom · 2019
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nuscenes: A multimodal dataset for autonomous driving
Holger Caesar, Varun Bankiti, Alex H Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 2020
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End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
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A survey of deep learning techniques for autonomous driving
Sorin Grigorescu, Bogdan Trasnea, Tiberiu Cocias, and Gigel Macesanu · 2020
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Pnpnet: End-to-end perception and prediction with tracking in the loop
Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, and Raquel Urtasun · 2020
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Sae j3216 standard: Taxonomy and definitions for terms related to cooperative driving automation for on-road motor vehicles
On-Road Automated Driving (ORAD) committee · 2020
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Probabilistic semantic mapping for urban autonomous driving applications
David Paz, Hengyuan Zhang, Qinru Li, Hao Xiang, and Henrik I Christensen · 2020
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Demonstrations of cooperative perception: Safety and robustness in connected and automated vehicle operations
Mao Shan, Karan Narula, Yung Fei Wong, Stewart Worrall, Malik Khan, Paul Alexander, and Eduardo Nebot · 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
Cited alongside, same era.
A survey of autonomous driving: Common practices and emerging technologies
Ekim Yurtsever, Jacob Lambert, Alexander Carballo, and Kazuya Takeda · 2020
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Learning distilled collaboration graph for multi-agent perception
Yiming Li, Shunli Ren, Pengxiang Wu, Siheng Chen, Chen Feng, and Wenjun Zhang · 2021
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Visio-temporal attention for multi-camera multi-target association
Yu-Jhe Li, Xinshuo Weng, Yan Xu, and Kris M Kitani · 2021
Cited alongside, same era.
Learning to communicate and correct pose errors
Nicholas Vadivelu, Mengye Ren, James Tu, Jingkang Wang, and Raquel Urtasun · 2021
Cited alongside, same era.
Opencda: an open cooperative driving automation framework integrated with co-simulation
Planning-oriented autonomous driving
Yihan Hu, Jiazhi Yang, Li Chen, Keyu Li, Chonghao Sima, Xizhou Zhu, Siqi Chai, Senyao Du, Tianwei Lin, Wenhai Wang, et al · 2023
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Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation
Zhijian Liu, Haotian Tang, Alexander Amini, Xinyu Yang, Huizi Mao, Daniela L Rus, and Song Han · 2023
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swarm_ros_bridge
Peixuan Shu · 2023
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An automated driving systems data acquisition and analytics platform
Xin Xia, Zonglin Meng, Xu Han, Hanzhao Li, Takahiro Tsukiji, Runsheng Xu, Zhaoliang Zheng, and Jiaqi Ma · 2023
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Hm-vit: Hetero-modal vehicle-to-vehicle cooperative perception with vision transformer
Hao Xiang, Runsheng Xu, and Jiaqi Ma · 2023
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V2v4real: A real-world large-scale dataset for vehicle-to-vehicle cooperative perception
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Runsheng Xu, Yi Guo, Xu Han, Xin Xia, Hao Xiang, and Jiaqi Ma · 2021
Cited alongside, same era.
V2x-sim: Multi-agent collaborative perception dataset and benchmark for autonomous driving
Yiming Li, Dekun Ma, Ziyan An, Zixun Wang, Yiqi Zhong, Siheng Chen, and Chen Feng · 2022
Cited alongside, same era.
Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers
Zhiqi Li, Wenhai Wang, Hongyang Li, Enze Xie, Chonghao Sima, Tong Lu, Yu Qiao, and Jifeng Dai · 2022
Cited alongside, same era.
Waymo open dataset: Panoramic video panoptic segmentation
Jieru Mei, Alex Zihao Zhu, Xinchen Yan, Hang Yan, Siyuan Qiao, Liang-Chieh Chen, and Henrik Kretzschmar · 2022
Cited alongside, same era.
Cobevt: Cooperative bird’s eye view semantic segmentation with sparse transformers
Runsheng Xu, Zhengzhong Tu, Hao Xiang, Wei Shao, Bolei Zhou, and Jiaqi Ma · 2022
Cited alongside, same era.
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
Cited alongside, same era.
Opv2v: An open benchmark dataset and fusion pipeline for perception with vehicle-to-vehicle communication
Runsheng Xu, Hao Xiang, Xin Xia, Xu Han, Jinlong Li, and Jiaqi Ma · 2022
Cited alongside, same era.
Runsheng Xu, Xin Xia, Jinlong Li, Hanzhao Li, Shuo Zhang, Zhengzhong Tu, Zonglin Meng, Hao Xiang, Xiaoyu Dong, Rui Song, et al · 2023
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Bevformer v2: Adapting modern image backbones to bird’s-eye-view recognition via perspective supervision
Chenyu Yang, Yuntao Chen, Hao Tian, Chenxin Tao, Xizhou Zhu, Zhaoxiang Zhang, Gao Huang, Hongyang Li, Yu Qiao, Lewei Lu, et al · 2023
Later among the works it cites.
V2x-seq: A large-scale sequential dataset for vehicle-infrastructure cooperative perception and forecasting
Haibao Yu, Wenxian Yang, Hongzhi Ruan, Zhenwei Yang, Yingjuan Tang, Xu Gao, Xin Hao, Yifeng Shi, Yifeng Pan, Ning Sun, et al · 2023
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Rcooper: A real-world large-scale dataset for roadside cooperative perception
Ruiyang Hao, Siqi Fan, Yingru Dai, Zhenlin Zhang, Chenxi Li, Yuntian Wang, Haibao Yu, Wenxian Yang, Jirui Yuan, and Zaiqing Nie · 2024
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First mile: An open innovation lab for infrastructure-assisted cooperative intelligent transportation systems
Rui Song, Andreas Festag, Abhishek Dinkar Jagtap, Maximilian Bialdyga, Zhiran Yan, Maximilian Otte, Sanath Tiptur Sadashivaiah, and Alois Knoll · 2024
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V2x-real: a largs-scale dataset for vehicle-to-everything cooperative perception
Hao Xiang, Zhaoliang Zheng, Xin Xia, Runsheng Xu, Letian Gao, Zewei Zhou, Xu Han, Xinkai Ji, Mingxi Li, Zonglin Meng, et al · 2024
Later among the works it cites.
Coopre: Cooperative pretraining for v2x cooperative perception
Seth Z Zhao, Hao Xiang, Chenfeng Xu, Xin Xia, Bolei Zhou, and Jiaqi Ma · 2024
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Cooperfuse: A real-time cooperative perception fusion framework
Zhaoliang Zheng, Xin Xia, Letian Gao, Hao Xiang, and Jiaqi Ma · 2024
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V2xpnp: Vehicle-to-everything spatio-temporal fusion for multi-agent perception and prediction
Zewei Zhou, Hao Xiang, Zhaoliang Zheng, Seth Z Zhao, Mingyue Lei, Yun Zhang, Tianhui Cai, Xinyi Liu, Johnson Liu, Maheswari Bajji, et al · 2024
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V2x-real: a largs-scale dataset for vehicle-to-everything cooperative perception
Hao Xiang, Zhaoliang Zheng, Xin Xia, Runsheng Xu, Letian Gao, Zewei Zhou, Xu Han, Xinkai Ji, Mingxi Li, Zonglin Meng, et al · 2025
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