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Collaborative perception is essential to address occlusion and sensor failure issues in autonomous driving.
The graph neural network model
F. Scarselli, M. Gori, A. C. Tsoi, M. Hagenbuchner, and G. Monfardini · 2008
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The pascal visual object classes (voc) challenge
M. Everingham, L. Van Gool, C. K. Williams, J. Winn, and A. Zisserman · 2010
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Object detection with discriminatively trained part-based models
P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan · 2010
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Are we ready for autonomous driving? the KITTI vision benchmark suite
A. Geiger, P. Lenz, and R. Urtasun · 2012
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Recent development and applications of SUMO-simulation of urban mobility
D. Krajzewicz, J. Erdmann, M. Behrisch, and L. Bieker · 2012
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Car2x-based perception in a high-level fusion architecture for cooperative perception systems
A. Rauch, F. Klanner, R. Rasshofer, and K. Dietmayer · 2012
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Multivehicle cooperative driving using cooperative perception: Design and experimental validation
S.-W. Kim, B. Qin, Z. J. Chong, X. Shen, W. Liu, M. H. Ang, E. Frazzoli, and D. Rus · 2014
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Effective approaches to attention-based neural machine translation
M.-T. Luong, H. Pham, and C. D. Manning · 2015
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U-net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
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Simple online and realtime tracking
A. Bewley, Z. Ge, L. Ott, F. Ramos, and B. Upcroft · 2016
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The maximum consensus problem: recent algorithmic advances
T.-J. Chin and D. Suter · 2017
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CARLA: An open urban driving simulator
A. Dosovitskiy, G. Ros, F. Codevilla, A. Lopez, and V. Koltun · 2017
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Attention is all you need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin · 2017
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Advances and perspectives on applications of deep learning in visual object detection
H. Zhang, K.-F. Wang, F.-Y. Wang, et al · 2017
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A cooperative vehicle-infrastructure based urban driving environment perception method using a d-s theory-based credibility map
X. Zhao, K. Mu, F. Hui, and C. Prehofer · 2017
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Multi-agent systems: A survey
A. Dorri, S. S. Kanhere, and R. Jurdak · 2018
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Squeeze-and-excitation networks
J. Hu, L. Shen, and G. Sun · 2018
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The paralleleye dataset: A large collection of virtual images for traffic vision research
X. Li, K. Wang, Y. Tian, L. Yan, F. Deng, and F.-Y. Wang · 2018
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Fast and furious: Real time end-to-end 3d detection, tracking and motion forecasting with a single convolutional net
W. Luo, B. Yang, and R. Urtasun · 2018
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Collaborative automated driving: A machine learning-based method to enhance the accuracy of shared information
Z. Y. Rawashdeh and Z. Wang · 2018
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Autonomous vehicle perception: The technology of today and tomorrow
J. Van Brummelen, M. O’Brien, D. Gruyer, and H. Najjaran · 2018
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Collaborative perception for automated vehicles leveraging vehicle-to-vehicle communications
R. Yee, E. Chan, B. Cheng, and G. Bansal · 2018
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F-Cooper: Feature based cooperative perception for autonomous vehicle edge computing system using 3d point clouds
Q. Chen, X. Ma, S. Tang, J. Guo, Q. Yang, and S. Fu · 2019
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Cooper: Cooperative perception for connected autonomous vehicles based on 3d point clouds
Q. Chen, S. Tang, Q. Yang, and S. Fu · 2019
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Pointpillars: Fast encoders for object detection from point clouds
A. H. Lang, S. Vora, H. Caesar, L. Zhou, J. Yang, and O. Beijbom · 2019
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Mask SSD: An effective single-stage approach to object instance segmentation
H. Zhang, Y. Tian, K. Wang, W. Zhang, and F.-Y. Wang · 2019
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Multi-robot collaborative perception with graph neural networks
Y. Zhou, J. Xiao, Y. Zhou, and G. Loianno · 2019
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Cooperative perception for 3d object detection in driving scenarios using infrastructure sensors
E. Arnold, M. Dianati, R. de Temple, and S. Fallah · 2020
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nuScenes: A multimodal dataset for autonomous driving
H. Caesar, V. Bankiti, A. H. Lang, S. Vora, V. E. Liong, Q. Xu, A. Krishnan, Y. Pan, G. Baldan, and O. Beijbom · 2020
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End-to-end object detection with transformers
N. Carion, F. Massa, G. Synnaeve, N. Usunier, A. Kirillov, and S. Zagoruyko · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
A. Dosovitskiy, L. Beyer, A. Kolesnikov, D. Weissenborn, X. Zhai, T. Unterthiner, M. Dehghani, M. Minderer, G. Heigold, S. Gelly, et al · 2020
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When2com: Multi-agent perception via communication graph grouping
Y.-C. Liu, J. Tian, N. Glaser, and Z. Kira · 2020
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Who2com: Collaborative perception via learnable handshake communication
Y.-C. Liu, J. Tian, C.-Y. Ma, N. Glaser, C.-W. Kuo, and Z. Kira · 2020
Cited alongside, same era.
PV-RCNN: Point-voxel feature set abstraction for 3d object detection
S. Shi, C. Guo, L. Jiang, Z. Wang, J. Shi, X. Wang, and H. Li · 2020
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Scalability in perception for autonomous driving: Waymo open dataset
P. Sun, H. Kretzschmar, X. Dotiwalla, A. Chouard, V. Patnaik, P. Tsui, J. Guo, Y. Zhou, Y. Chai, B. Caine, et al · 2020
Cited alongside, same era.
V2VNet: Vehicle-to-vehicle communication for joint perception and prediction
T.-H. Wang, S. Manivasagam, M. Liang, B. Yang, W. Zeng, and R. Urtasun · 2020
Cited alongside, same era.
3d multi-object tracking: A baseline and new evaluation metrics
From features engineering to scenarios engineering for trustworthy ai: I&i, c&c, and v&v
X. Li, P. Ye, J. Li, Z. Liu, L. Cao, and F.-Y. Wang · 2022
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V2X-Sim: Multi-agent collaborative perception dataset and benchmark for autonomous driving
Y. Li, D. Ma, Z. An, Z. Wang, Y. Zhong, S. Chen, and C. Feng · 2022
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SS3D: Sparsely-supervised 3d object detection from point cloud
C. Liu, C. Gao, F. Liu, J. Liu, D. Meng, and X. Gao · 2022
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Robust collaborative 3d object detection in presence of pose errors
Y. Lu, Q. Li, B. Liu, M. Dianat, C. Feng, S. Chen, and Y. Wang · 2022
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Complementarity-enhanced and redundancy-minimized collaboration network for multi-agent perception
G. Luo, H. Zhang, Q. Yuan, and J. Li · 2022
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X. Weng, J. Wang, D. Held, and K. Kitani · 2020
Cited alongside, same era.
A virtual-real interaction approach to object instance segmentation in traffic scenes
H. Zhang, G. Luo, Y. Tian, K. Wang, H. He, and F.-Y. Wang · 2020
Cited alongside, same era.
Fast and robust registration of partially overlapping point clouds
E. Arnold, S. Mozaffari, and M. Dianati · 2021
Cited alongside, same era.
CoFF: Cooperative spatial feature fusion for 3-d object detection on autonomous vehicles
J. Guo, D. Carrillo, S. Tang, Q. Chen, Q. Yang, S. Fu, X. Wang, N. Wang, and P. Palacharla · 2021
Cited alongside, same era.
M. Howe, I. Reid, and J. Mackenzie · 2021
Cited alongside, same era.
Learning distilled collaboration graph for multi-agent perception
Y. Li, S. Ren, P. Wu, S. Chen, C. Feng, and W. Zhang · 2021
Cited alongside, same era.
Adversarial attacks on multi-agent communication
J. Tu, T. Wang, J. Wang, S. Manivasagam, M. Ren, and R. Urtasun · 2021
Cited alongside, same era.
Dolphins: Dataset for collaborative perception enabled harmonious and interconnected self-driving
R. Mao, J. Guo, Y. Jia, Y. Sun, S. Zhou, and Z. Niu · 2022
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Collaborative perception for autonomous driving: Current status and future trend
S. Ren, S. Chen, and W. Zhang · 2022
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Imvoxelnet: Image to voxels projection for monocular and multi-view general-purpose 3d object detection
D. Rukhovich, A. Vorontsova, and A. Konushin · 2022
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The role of digital twins in connected and automated vehicles
C. Schwarz and Z. Wang · 2022
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An integrated traffic and vehicle co-simulation testing framework for connected and autonomous vehicles
Y. Shi, Z. Liu, Z. Wang, J. Ye, W. Tong, and Z. Liu · 2022
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Uncertainty quantification of collaborative detection for self-driving
S. Su, Y. Li, S. He, S. Han, C. Feng, C. Ding, and F. Miao · 2022
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Collaborative 3d object detection for automatic vehicle systems via learnable communications
J. Wang, Y. Zeng, and Y. Gong · 2022
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Bridging the domain gap for multi-agent perception
R. Xu, J. Li, X. Dong, H. Yu, and J. Ma · 2022
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CoBEVT: Cooperative bird’s eye view semantic segmentation with sparse transformers
R. Xu, Z. Tu, H. Xiang, W. Shao, B. Zhou, and J. Ma · 2022
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V2X-ViT: Vehicle-to-everything cooperative perception with vision transformer
R. Xu, H. Xiang, Z. Tu, X. Xia, M.-H. Yang, and J. Ma · 2022
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OPV2V: An open benchmark dataset and fusion pipeline for perception with vehicle-to-vehicle communication
R. Xu, H. Xiang, X. Xia, X. Han, J. Li, and J. Ma · 2022
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DAIR-V2X: A large-scale dataset for vehicle-infrastructure cooperative 3d object detection
H. Yu, Y. Luo, M. Shu, Y. Huo, Z. Yang, Y. Shi, Z. Guo, H. Li, X. Hu, J. Yuan, et al · 2022
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Keypoints-based deep feature fusion for cooperative vehicle detection of autonomous driving
Y. Yuan, H. Cheng, and M. Sester · 2022
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Enhanced mobility with connectivity and automation: A review of shared autonomous vehicle systems
L. Zhao and A. A. Malikopoulos · 2022
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Cross-view transformers for real-time map-view semantic segmentation
B. Zhou and P. Krähenbühl · 2022
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Achieving lightweight and privacy-preserving object detection for connected autonomous vehicles
R. Bi, J. Xiong, Y. Tian, Q. Li, and K.-K. R. Choo · 2023
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A survey of federated learning for connected and automated vehicles
V. P. Chellapandi, L. Yuan, S. H. Zak, and Z. Wang · 2023
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Collaboration helps camera overtake lidar in 3d detection
Y. Hu, Y. Lu, R. Xu, W. Xie, S. Chen, and Y. Wang · 2023
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Multi-robot scene completion: Towards task-agnostic collaborative perception
Y. Li, J. Zhang, D. Ma, Y. Wang, and C. Feng · 2023
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Interruption-aware cooperative perception for v2x communication-aided autonomous driving
S. Ren, Z. Lei, Z. Wang, M. Dianati, Y. Wang, S. Chen, and W. Zhang · 2023
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A cooperative perception system robust to localization errors, 2023
Z. Song, F. Wen, H. Zhang, and J. Li · 2023
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Deepaccident: A motion and accident prediction benchmark for v2x autonomous driving
T. Wang, S. Kim, W. Ji, E. Xie, C. Ge, J. Chen, Z. Li, and L. Ping · 2023
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Vimi: Vehicle-infrastructure multi-view intermediate fusion for camera-based 3d object detection
Z. Wang, S. Fan, X. Huo, T. Xu, Y. Wang, J. Liu, Y. Chen, and Y.-Q. Zhang · 2023
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HM-ViT: Hetero-modal vehicle-to-vehicle cooperative perception with vision transformer
H. Xiang, R. Xu, and J. Ma · 2023
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V2v4real: A real-world large-scale dataset for vehicle-to-vehicle cooperative perception
R. Xu, X. Xia, J. Li, H. Li, S. Zhang, Z. Tu, Z. Meng, H. Xiang, X. Dong, R. Song, H. Yu, B. Zhou, and J. Ma · 2023
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V2x-seq: A large-scale sequential dataset for vehicle-infrastructure cooperative perception and forecasting
H. Yu, W. Yang, H. Ruan, Z. Yang, Y. Tang, X. Gao, X. Hao, Y. Shi, Y. Pan, N. Sun, J. Song, J. Yuan, P. Luo, and Z. Nie · 2023
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