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The value of roadside perception, which could extend the boundaries of autonomous driving and traffic management, has gradually become more prominent and acknowledged in recent years.
Data-driven intelligent transportation systems: A survey
Junping Zhang, Fei-Yue Wang, Kunfeng Wang, Wei-Hua Lin, Xin Xu, and Cheng Chen · 2011
Earlier work this paper cites.
Are we ready for autonomous driving? the kitti vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 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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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2018
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Boxcars: Improving fine-grained recognition of vehicles using 3-d bounding boxes in traffic surveillance
Jakub Sochor, Jakub Špaňhel, and Adam Herout · 2018
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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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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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3d multi-object tracking: A baseline and new evaluation metrics
Xinshuo Weng, Jianren Wang, David Held, and Kris Kitani · 2020
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Fast and robust registration of partially overlapping point clouds
Eduardo Arnold, Sajjad Mozaffari, and Mehrdad Dianati · 2021
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Yongqiang Deng, Dengjiang Wang, Gang Cao, Bing Ma, Xijia Guan, Yajun Wang, Jianchao Liu, Yanming Fang, and Juanjuan Li · 2021
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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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OpenCDA: an open cooperative driving automation framework integrated with co-simulation
Runsheng Xu, Yi Guo, Xu Han, Xin Xia, Hao Xiang, and Jiaqi Ma · 2021
Cited alongside, same era.
Cooperative perception for 3d object detection in driving scenarios using infrastructure sensors
Eduardo Arnold, Mehrdad Dianati, Robert de Temple, and Saber Fallah · 2022
Cited alongside, same era.
Zhengwei Bai, Guoyuan Wu, Matthew J Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi, and Zhitong Huang · 2022
Cited alongside, same era.
Survey on cooperative perception in an automotive context
Antoine Caillot, Safa Ouerghi, Pascal Vasseur, Rémi Boutteau, and Yohan Dupuis · 2022
Cited alongside, same era.
A9-dataset: Multi-sensor infrastructure-based dataset for mobility research
Christian Creß, Walter Zimmer, Leah Strand, Maximilian Fortkord, Siyi Dai, Venkatnarayanan Lakshminarasimhan, and Alois Knoll · 2022
Rope3D: the roadside perception dataset for autonomous driving and monocular 3d object detection task
Xiaoqing Ye, Mao Shu, Hanyu Li, Yifeng Shi, Yingying Li, Guangjie Wang, Xiao Tan, and Errui Ding · 2022
Later among the works it cites.
Dair-v2x: A large-scale dataset for vehicle-infrastructure cooperative 3d object detection
Haibao Yu, Yizhen Luo, Mao Shu, Yiyi Huo, Zebang Yang, Yifeng Shi, Zhenglong Guo, Hanyu Li, Xing Hu, Jirui Yuan, and Zaiqing Nie · 2022
Later among the works it cites.
Keypoints-based deep feature fusion for cooperative vehicle detection of autonomous driving
Yunshuang Yuan, Hao Cheng, and Monika Sester · 2022
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Multi-robot collaborative perception with graph neural networks
Yang Zhou, Jiuhong Xiao, Yue Zhou, and Giuseppe Loianno · 2022
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Vinet: Lightweight, scalable, and heterogeneous cooperative perception for 3d object detection
Zhengwei Bai, Guoyuan Wu, Matthew J Barth, Yongkang Liu, Emrah Akin Sisbot, and Kentaro Oguchi · 2023
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Cited alongside, same era.
Coopernaut: end-to-end driving with cooperative perception for networked vehicles
Jiaxun Cui, Hang Qiu, Dian Chen, Peter Stone, and Yuke Zhu · 2022
Cited alongside, same era.
Mona: The munich motion dataset of natural driving
Luis Gressenbuch, Klemens Esterle, Tobias Kessler, and Matthias Althoff · 2022
Cited alongside, same era.
Where2comm: Communication-efficient collaborative perception via spatial confidence maps
Yue Hu, Shaoheng Fang, Zixing Lei, Yiqi Zhong, and Siheng Chen · 2022
Cited alongside, same era.
RD-YOLO: an effective and efficient object detector for roadside perception system
Lei Huang and Wenzhun Huang · 2022
Cited alongside, same era.
Latency-aware collaborative perception
Zixing Lei, Shunli Ren, Yue Hu, Wenjun Zhang, and Siheng Chen · 2022
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.
DOLPHINS: Dataset for collaborative perception enabled harmonious and interconnected self-driving
Ruiqing Mao, Jingyu Guo, Yukuan Jia, Yuxuan Sun, Sheng Zhou, and Zhisheng Niu · 2022
Cited alongside, same era.
Calibration-free bev representation for infrastructure perception
Siqi Fan, Zhe Wang, Xiaoliang Huo, Yan Wang, and Jingjing Liu · 2023
Later among the works it cites.
Collaborative perception in autonomous driving: Methods, datasets and challenges
Yushan Han, Hui Zhang, Huifang Li, Yi Jin, Congyan Lang, and Yidong Li · 2023
Later among the works it cites.
Collaboration helps camera overtake lidar in 3d detection
Yue Hu, Yifan Lu, Runsheng Xu, Weidi Xie, Siheng Chen, and Yanfeng Wang · 2023
Later among the works it cites.
Adaptive feature fusion for cooperative perception using lidar point clouds
Donghao Qiao and Farhana Zulkernine · 2023
Later among the works it cites.
QUEST: Query stream for vehicle-infrastructure cooperative perception
Siqi Fan, Haibao Yu, Wenxian Yang, Jirui Yuan, and Zaiqing Nie · 2024
Closest in time.
Lidar-cs dataset: Lidar point cloud dataset with cross-sensors for 3d object detection
Jin Fang, Dingfu Zhou, Jingjing Zhao, Chulin Tang, Cheng-Zhong Xu, and Liangjun Zhang · 2024
Closest in time.
Emiff: Enhanced multi-scale image feature fusion for vehicle-infrastructure cooperative 3d object detection
Zhe Wang, Siqi Fan, Xiaoliang Huo, Tongda Xu, Yan Wang, Jingjing Liu, Yilun Chen, and Yaqin Zhang · 2024
Closest in time.