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Roadside perception can greatly increase the safety of autonomous vehicles by extending their perception ability beyond the visual range and addressing blind spots.
Are we ready for autonomous driving? the kitti vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
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Novel gaussian mixture model background subtraction method for detecting moving objects
Xiaofeng Lu and Caidi Xu · 2018
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Kinematic 3d object detection in monocular video
Garrick Brazil, Gerard Pons-Moll, Xiaoming Liu, and Bernt Schiele · 2020
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A simple semi-supervised learning framework for object detection
Kihyuk Sohn, Zizhao Zhang, Chun-Liang Li, Han Zhang, Chen-Yu Lee, and Tomas Pfister · 2020
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Aug3d-rpn: Improving monocular 3d object detection by synthetic images with virtual depth
Chenhang He, Jianqiang Huang, Xian-Sheng Hua, and Lei Zhang · 2021
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Delving into localization errors for monocular 3d object detection
Xinzhu Ma, Yinmin Zhang, Dan Xu, Dongzhan Zhou, Shuai Yi, Haojie Li, and Wanli Ouyang · 2021
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Categorical depth distribution network for monocular 3d object detection
Cody Reading, Ali Harakeh, Julia Chae, and Steven L Waslander · 2021
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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 · 2022
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Cl3d: Camera-lidar 3d object detection with point feature enhancement and point-guided fusion
Chunmian Lin, Daxin Tian, Xuting Duan, Jianshan Zhou, Dezong Zhao, and Dongpu Cao · 2022
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Imvoxelnet: Image to voxels projection for monocular and multi-view general-purpose 3d object detection
Danila Rukhovich, Anna Vorontsova, and Anton Konushin · 2022
Cited alongside, same era.
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
Cited alongside, same era.
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, et al · 2022
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Consensus-based distributed cooperative perception for connected and automated vehicles
Kunyang Cai, Ting Qu, Bingzhao Gao, and Hong Chen · 2023
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Source-free unsupervised domain adaptation for 3d object detection in adverse weather
Deepti Hegde, Velat Kilic, Vishwanath Sindagi, A Brinton Cooper, Mark Foster, and Vishal M Patel · 2023
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Adapting object size variance and class imbalance for semi-supervised object detection
Yuxiang Nie, Chaowei Fang, Lechao Cheng, Liang Lin, and Guanbin Li · 2023
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Learning cooperative trajectory representations for motion forecasting
Hongzhi Ruan, Haibao Yu, Wenxian Yang, Siqi Fan, Yingjuan Tang, and Zaiqing Nie · 2023
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Cobev: Elevating roadside 3d object detection with depth and height complementarity
Hao Shi, Chengshan Pang, Jiaming Zhang, Kailun Yang, Yuhao Wu, Huajian Ni, Yining Lin, Rainer Stiefelhagen, and Kaiwei Wang · 2023
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Instance relation graph guided source-free domain adaptive object detection
Vibashan VS, Poojan Oza, and Vishal M Patel · 2023
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Adapt then generalize: A simple two-stage framework for semi-supervised domain generalization
Han Xie, Zhifeng Shen, Shicai Yang, Weijie Chen, and Luojun Lin · 2023
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Marrs: Modern backbones assisted co-training for rapid and robust semi-supervised domain adaptation
Saurabh Kumar Jain and Sukhendu Das · 2023
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Monouni: A unified vehicle and infrastructure-side monocular 3d object detection network with sufficient depth clues
Jinrang Jia, Zhenjia Li, and Yifeng Shi · 2023
Cited alongside, same era.
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al · 2023
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Run and chase: Towards accurate source-free domain adaptive object detection
Luojun Lin, Zhifeng Yang, Qipeng Liu, Yuanlong Yu, and Qifeng Lin · 2023
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Periodically exchange teacher-student for source-free object detection
Qipeng Liu, Luojun Lin, Zhifeng Shen, and Zhifeng Yang · 2023
Cited alongside, same era.
Calibration-free bev representation for infrastructure perception
Siqi Fan, Zhe Wang, Xiaoliang Huo, Yan Wang, and Jingjing Liu
Cited in the paper.
Quest: Query stream for vehicle-infrastructure cooperative perception
Siqi Fan, Haibao Yu, Wenxian Yang, Jirui Yuan, and Zaiqing Nie
Cited in the paper.
Semi-supervised learning with pseudo-negative labels for image classification
Hao Xu, Hui Xiao, Huazheng Hao, Li Dong, Xiaojie Qiu, and Chengbin Peng · 2023
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V2vformer
Hongbo Yin, Daxin Tian, Chunmian Lin, Xuting Duan, Jianshan Zhou, Dezong Zhao, and Dongpu Cao · 2023
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Semi-supervised domain adaptation with source label adaptation
Yu-Chu Yu and Hsuan-Tien Lin · 2023
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V2vformer: Vehicle-to-vehicle cooperative perception with spatial-channel transformer
Chunmian Lin, Daxin Tian, Xuting Duan, Jianshan Zhou, Dezong Zhao, and Dongpu Cao · 2024
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Multi-robot scene completion: Towards task-agnostic collaborative perception
Yiming Li, Juexiao Zhang, Dekun Ma, Yue Wang, and Chen Feng · 2072
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