[1] MMDetection3D: OpenMMLab next-generation platform for general 3D object detection, 2020.
[2] Eduardo Arnold, Mehrdad Dianati, Robert de Temple, and Saber Fallah. Cooperative perception for 3d object detection in driving scenarios using infrastructure sensors. IEEE Transactions on Intelligent Transportation Systems, 2020.
[3] Steven S. Beauchemin and John L. Barron. The computation of optical flow. ACM computing surveys (CSUR), 27(3):433-466, 1995.
[4] Zehui Chen, Zhenyu Li, Shiquan Zhang, Liangji Fang, Qinhong Jiang, and Feng Zhao. Autoalignv2: Deformable feature aggregation for dynamic multi-modal 3d object detection. European conference on computer vision, 2022.
[5] Christian Creß, Walter Zimmer, Leah Strand, Maximilian Fortkord, Siyi Dai, Venkatnarayanan Lakshminarasimhan, and Alois Knoll. A9-dataset: Multi-sensor infrastructure-based dataset for mobility research. In 2022 IEEE Intelligent Vehicles Symposium (IV), pages 965–970. IEEE, 2022.
[6] Jiaxun Cui, Hang Qiu, Dian Chen, Peter Stone, and Yuke Zhu. Coopernaut: End-to-end driving with cooperative perception for networked vehicles. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 17252-17262, 2022.
[7] Michel Deville and Thomas B Gatski. Mathematical modeling for complex fluids and flows. Springer Science & Business Media, 2012.
[8] Siqi Fan, Haibao Yu, Wenxian Yang, Jirui Yuan, and Zaiqing Nie. Quest: Query stream for vehicleinfrastructure cooperative perception. arXiv preprint arXiv:2308.01804, 2023.
[9] Robert M Fano. Transmission of information: A statistical theory of communications. American Journal of Physics, 29(11):793-794, 1961.
[10] Andreas Geiger, Philip Lenz, and Raquel Urtasun. Are we ready for autonomous driving? the kitti vision benchmark suite. In 2012 IEEE conference on computer vision and pattern recognition, pages 3354-3361. IEEE, 2012.
[11] Song Han, Huizi Mao, and William J Dally. Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding. arXiv preprint arXiv:1510.00149, 2015.
[12] Laurens Hobert, Andreas Festag, Ignacio Llatser, Luciano Altomare, Filippo Visintainer, and Andras Kovacs. Enhancements of v2x communication in support of cooperative autonomous driving. IEEE communications magazine, 53(12):64-70, 2015.
[13] Berthold KP Horn and Brian G Schunck. Determining optical flow. Artificial intelligence, 17(1-3):185-203, 1981.
[14] Yue Hu, Shaoheng Fang, Zixing Lei, Yiqi Zhong, and Siheng Chen. Where2comm: Communication-efficient collaborative perception via spatial confidence maps. arXiv preprint arXiv:2209.12836, 2022.
[15] Yue Hu, Yifan Lu, Runsheng Xu, Weidi Xie, Siheng Chen, and Yanfeng Wang. Collaboration helps camera overtake lidar in 3d detection. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023.
[16] Alex H Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom. Pointpillars: Fast encoders for object detection from point clouds, 2019.
[17] Zixing Lei, Shunli Ren, Yue Hu, Wenjun Zhang, and Siheng Chen. Latency-aware collaborative perception. In European Conference on Computer Vision. Springer, 2022.
[18] Yiming Li, Dekun Ma, Ziyan An, Zixun Wang, Yiqi Zhong, Siheng Chen, and Chen Feng. V2x-sim: Multi-agent collaborative perception dataset and benchmark for autonomous driving. IEEE Robotics and Automation Letters, 7(4):10914-10921, 2022.
[19] Yiming Li, Shunli Ren, Pengxiang Wu, Siheng Chen, Chen Feng, and Wenjun Zhang. Learning distilled collaboration graph for multi-agent perception. Advances in Neural Information Processing Systems, 34, 2021.
[20] Yiming Li, Juexiao Zhang, Dekun Ma, Yue Wang, and Chen Feng. Multi-robot scene completion: Towards task-agnostic collaborative perception. In Conference on Robot Learning, pages 2062–2072. PMLR, 2023.
[21] Zhiqi Li, Wenhai Wang, Hongyang Li, Enze Xie, Chonghao Sima, Tong Lu, Qiao Yu, and Jifeng Dai. Bevformer: Learning bird's-eye-view representation from multi-camera images via spatiotemporal transformers. arXiv preprint arXiv:2203.17270, 2022.
[22] Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C Berg. Ssd: Single shot multibox detector. In Computer Vision-ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part I 14, pages 21-37. Springer, 2016.
[23] Zhijian Liu, Haotian Tang, Alexander Amini, Xinyu Yang, Huizi Mao, Daniela Rus, and Song Han. Bevfusion: Multi-task multi-sensor fusion with unified bird's-eye view representation. arXiv preprint arXiv:2205.13542, 2022.
[24] Changxi Ma, Wei Hao, Aobo Wang, and Hongxing Zhao. Developing a coordinated signal control system for urban ring road under the vehicle-infrastructure connected environment. IEEE Access, 6:52471-52478, 2018.
[25] Yongchang Ma, Mashrur Chowdhury, Adel Sadek, and Mansoureh Jeihani. Real-time highway traffic condition assessment framework using vehicle-infrastructure integration (vii) with artificial intelligence (ai). IEEE Transactions on Intelligent Transportation Systems, 10(4):615-627, 2009.
[26] Moritz Menze and Andreas Geiger. Object scene flow for autonomous vehicles. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 3061-3070, 2015.