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Collaborative perception, fusing information from multiple agents, can extend perception range so as to improve perception performance.
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T.-H. Wang, S. Manivasagam, M. Liang, B. Yang, W. Zeng, and R. Urtasun, “V2vnet: Vehicle-to-vehicle communication for joint perception and prediction,” in Proceedings of the European Conference on Computer Vision (ECCV) . Springer, 2020, pp. 605–621
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2022
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K. Yang, D. Yang, J. Zhang, M. Li, Y. Liu, J. Liu, H. Wang, P. Sun, and L. Song, “Spatio-temporal domain awareness for multi-agent collaborative perception,” in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , 2023, pp. 23 383–23 392
2023
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Y. Lu, Q. Li, B. Liu, M. Dianati, C. Feng, S. Chen, and Y. Wang, “Robust collaborative 3d object detection in presence of pose errors,” in Proceedings of the International Conference on Robotics and Automation (ICRA) . IEEE, 2023, pp. 4812–4818
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2021
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2021
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Y. Li, S. Ren, P. Wu, S. Chen, C. Feng, and W. Zhang, “Learning distilled collaboration graph for multi-agent perception,” in Advances in Neural Information Processing Systems (NeurIPS) , vol. 34, 2021, pp. 29 541–29 552
2021
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R. Xu, Y. Guo, X. Han, X. Xia, H. Xiang, and J. Ma, “Opencda: an open cooperative driving automation framework integrated with co-simulation,” in Proceedings of the IEEE International Intelligent Transportation Systems Conference (ITSC) . IEEE, 2021, pp. 1155–1162
2021
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Y. Hu, S. Fang, Z. Lei, Y. Zhong, and S. Chen, “Where2comm: Communication-efficient collaborative perception via spatial confidence maps,” in Advances in neural information processing systems (NeurIPS) , vol. 35, 2022, pp. 4874–4886
2022
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Z. Lei, S. Ren, Y. Hu, W. Zhang, and S. Chen, “Latency-aware collaborative perception,” in Proceedings of the European Conference on Computer Vision (ECCV) . Springer, 2022, pp. 316–332
2022
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R. Xu, H. Xiang, Z. Tu, X. Xia, M.-H. Yang, and J. Ma, “V2x-vit: Vehicle-to-everything cooperative perception with vision transformer,” in Proceedings of the European Conference on Computer Vision (ECCV) . Springer, 2022, pp. 107–124
2022
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H. Yu, Y. Luo, M. Shu, Y. Huo, Z. Yang, Y. Shi, Z. Guo, H. Li, X. Hu, J. Yuan, and Z. Nie, “Dair-v2x: A large-scale dataset for vehicle-infrastructure cooperative 3d object detection,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , June 2022, pp. 21 329–21 338
2022
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R. Xu, H. Xiang, X. Xia, J. L. Xu Han, and J. Ma, “Opv2v: An open benchmark dataset and fusion pipeline for perception with vehicle-to-vehicle communication,” in Proceedings of the International Conference on Robotics and Automation (ICRA) , 2022, pp. 2583–2589
2022
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2023
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S. Wei, Y. Wei, Y. Hu, Y. Lu, Y. Zhong, S. Chen, and Y. Zhang, “Asynchrony-robust collaborative perception via bird’s eye view flow,” in Advances in Neural Information Processing Systems (NeurIPS) , vol. 36, 2023, pp. 28 462–28 477
2023
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Y. Lou, Q. Song, Q. Xu, R. Tan, and J. Wang, “Uncertainty-encoded multi-modal fusion for robust object detection in autonomous driving,” in European Conference on Artificial Intelligence (ECAI) . IOS Press, 2023, pp. 1593–1600
2023
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S. Su, Y. Li, S. He, S. Han, C. Feng, C. Ding, and F. Miao, “Uncertainty quantification of collaborative detection for self-driving,” in Proceedings of the International Conference on Robotics and Automation (ICRA) . IEEE, 2023, pp. 5588–5594
2023
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G. Zhang, J. Chen, G. Gao, J. Li, S. Liu, and X. Hu, “Safdnet: A simple and effective network for fully sparse 3d object detection,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2024, pp. 14 477–14 486
2024
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S. Fan, H. Yu, W. Yang, J. Yuan, and Z. Nie, “Quest: Query stream for practical cooperative perception,” in Proceedings of the International Conference on Robotics and Automation (ICRA) . IEEE, 2024, pp. 18 436–18 442
2024
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W. Su, L. Chen, Y. Bai, X. Lin, G. Li, Z. Qu, and P. Zhou, “What makes good collaborative views? contrastive mutual information maximization for multi-agent perception,” in Proceedings of the AAAI Conference on Artificial Intelligence , vol. 38, no. 16, 2024, pp. 17 550–17 558
2024
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S. Su, S. Han, Y. Li, Z. Zhang, C. Feng, C. Ding, and F. Miao, “Collaborative multi-object tracking with conformal uncertainty propagation,” IEEE Robotics and Automation Letters , 2024
2024
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