{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,24]],"date-time":"2025-05-24T13:10:04Z","timestamp":1748092204328,"version":"3.41.0"},"publisher-location":"Cham","reference-count":32,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031918124","type":"print"},{"value":"9783031918131","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-91813-1_14","type":"book-chapter","created":{"date-parts":[[2025,5,24]],"date-time":"2025-05-24T12:41:53Z","timestamp":1748090513000},"page":"212-227","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Rethinking the\u00a0Role of\u00a0Infrastructure in\u00a0Collaborative Perception"],"prefix":"10.1007","author":[{"given":"Hyunchul","family":"Bae","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Minhee","family":"Kang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Minwoo","family":"Song","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Heejin","family":"Ahn","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,5,12]]},"reference":[{"key":"14_CR1","doi-asserted-by":"crossref","unstructured":"Arandjelovic, O.: Weighted linear fusion of multimodal data: a reasonable baseline?. In: Proceedings of the ACM International Conference on Multimedia, pp. 851\u2013857 (2016)","DOI":"10.1145\/2964284.2964304"},{"key":"14_CR2","unstructured":"Bae, H., Kang, M., Ahn, H.: V2X-M2C: efficient multi-module collaborative perception with two connections. arXiv preprint arXiv:2407.11546 (2024)"},{"key":"14_CR3","doi-asserted-by":"crossref","unstructured":"Bai, Z., Wu, G., Barth, M.J., Liu, Y., Sisbot, E.A., Oguchi, K.: Pillargrid: deep learning-based cooperative perception for 3d object detection from onboard-roadside lidar. In: Proceedings of the IEEE International Conference on Intelligent Transportation Systems, pp. 1743\u20131749 (2022)","DOI":"10.1109\/ITSC55140.2022.9921947"},{"key":"14_CR4","unstructured":"Dosovitskiy, A., Ros, G., Codevilla, F., Lopez, A., Koltun, V.: CARLA: an open urban driving simulator. In: Proceedings of the Conference on Robot Learning, pp. 1\u201316 (2017)"},{"key":"14_CR5","doi-asserted-by":"crossref","unstructured":"Fan, S., Wang, Z., Huo, X., Wang, Y., Liu, J.: Calibration-free bev representation for infrastructure perception. In: Proceedings of the IEEE\/RSJ International Conference on Intelligent Robots and Systems, pp. 9008\u20139013 (2023)","DOI":"10.1109\/IROS55552.2023.10341916"},{"key":"14_CR6","doi-asserted-by":"crossref","unstructured":"Gao, X., et al.: A survey of collaborative perception in intelligent vehicles at intersections. IEEE Trans. Intell. Veh. 1\u201320 (2024)","DOI":"10.1109\/TIV.2024.3395783"},{"key":"14_CR7","doi-asserted-by":"publisher","unstructured":"Guo, M.-H., et al.: Attention mechanisms in computer vision: a survey. Comput. Vis. Media , 1\u201338 (2022). https:\/\/doi.org\/10.1007\/s41095-022-0271-y","DOI":"10.1007\/s41095-022-0271-y"},{"issue":"6","key":"14_CR8","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1109\/MITS.2023.3298534","volume":"15","author":"Y Han","year":"2023","unstructured":"Han, Y., Zhang, H., Li, H., Jin, Y., Lang, C., Li, Y.: Collaborative perception in autonomous driving: Methods, datasets, and challenges. IEEE Intell. Transp. Syst. Mag. 15(6), 131\u2013151 (2023)","journal-title":"IEEE Intell. Transp. Syst. Mag."},{"key":"14_CR9","first-page":"4874","volume":"35","author":"Y Hu","year":"2022","unstructured":"Hu, Y., Fang, S., Lei, Z., Zhong, Y., Chen, S.: Where2comm: communication-efficient collaborative perception via spatial confidence maps. Adv. Neural. Inf. Process. Syst. 35, 4874\u20134886 (2022)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"issue":"3 &4","key":"14_CR10","first-page":"128","volume":"5","author":"D Krajzewicz","year":"2012","unstructured":"Krajzewicz, D., Erdmann, J., Behrisch, M., Bieker, L.: Recent development and applications of sumo-simulation of urban mobility. Int. J. Adv. Syst. Meas. 5(3 &4), 128\u2013138 (2012)","journal-title":"Int. J. Adv. Syst. Meas."},{"key":"14_CR11","doi-asserted-by":"crossref","unstructured":"Lang, A.H., Vora, S., Caesar, H., Zhou, L., Yang, J., Beijbom, O.: Pointpillars: fast encoders for object detection from point clouds. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 12697\u201312705 (2019)","DOI":"10.1109\/CVPR.2019.01298"},{"issue":"4","key":"14_CR12","doi-asserted-by":"publisher","first-page":"10914","DOI":"10.1109\/LRA.2022.3192802","volume":"7","author":"Y Li","year":"2022","unstructured":"Li, Y., et al.: V2X-Sim: multi-agent collaborative perception dataset and benchmark for autonomous driving. IEEE Robot. Autom. Lett. 7(4), 10914\u201310921 (2022)","journal-title":"IEEE Robot. Autom. Lett."},{"key":"14_CR13","unstructured":"Li, Y., Ren, S., Wu, P., Chen, S., Feng, C., Zhang, W.: Learning distilled collaboration graph for multi-agent perception. In: Proceedings of the Advances in Neural Information Processing Systems. pp. 29541\u201329552 (2021)"},{"issue":"16","key":"14_CR14","doi-asserted-by":"publisher","first-page":"7107","DOI":"10.1109\/JSEN.2019.2913281","volume":"19","author":"X Liang","year":"2019","unstructured":"Liang, X., Hu, P., Zhang, L., Sun, J., Yin, G.: MCFNet: multi-layer concatenation fusion network for medical images fusion. IEEE Sens. J. 19(16), 7107\u20137119 (2019)","journal-title":"IEEE Sens. J."},{"key":"14_CR15","unstructured":"Loshchilov, I., Hutter, F.: Sgdr: stochastic gradient descent with warm restarts. arXiv preprint arXiv:1608.03983 (2016)"},{"key":"14_CR16","unstructured":"Loshchilov, I., Hutter, F.: Decoupled weight decay regularization. arXiv preprint arXiv:1711.05101 (2017)"},{"key":"14_CR17","unstructured":"Lu, Y., Hu, Y., Zhong, Y., Wang, D., Chen, S., Wang, Y.: An extensible framework for open heterogeneous collaborative perception. arXiv preprint arXiv:2401.13964 (2024)"},{"issue":"9","key":"14_CR18","doi-asserted-by":"publisher","first-page":"11122","DOI":"10.1109\/TVT.2023.3264020","volume":"72","author":"H Ngo","year":"2023","unstructured":"Ngo, H., Fang, H., Wang, H.: Cooperative perception with v2v communication for autonomous vehicles. IEEE Trans. Veh. Technol. 72(9), 11122\u201311131 (2023)","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"3","key":"14_CR19","doi-asserted-by":"publisher","first-page":"2576","DOI":"10.1109\/LRA.2019.2904733","volume":"4","author":"Y Sun","year":"2019","unstructured":"Sun, Y., Zuo, W., Liu, M.: RTFNet: Rgb-thermal fusion network for semantic segmentation of urban scenes. IEEE Robot. Autom. Lett. 4(3), 2576\u20132583 (2019)","journal-title":"IEEE Robot. Autom. Lett."},{"key":"14_CR20","doi-asserted-by":"crossref","unstructured":"Wang, B., Zhang, L., Wang, Z., Zhao, Y., Zhou, T.: Core: cooperative reconstruction for multi-agent perception. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision. pp. 8710\u20138720 (2023)","DOI":"10.1109\/ICCV51070.2023.00800"},{"key":"14_CR21","doi-asserted-by":"crossref","unstructured":"Wang, T.H., Manivasagam, S., Liang, M., Yang, B., Zeng, W., Urtasun, R.: V2vnet: vehicle-to-vehicle communication for joint perception and prediction. In: Proceedings of the European Conference on Computer Vision. pp. 605\u2013621 (2020)","DOI":"10.1007\/978-3-030-58536-5_36"},{"key":"14_CR22","doi-asserted-by":"crossref","unstructured":"Wulff, F., Sch\u00e4ufele, B., Sawade, O., Becker, D., Henke, B., Radusch, I.: Early fusion of camera and lidar for robust road detection based on u-net fcn. In: Proceedings of the IEEE Intelligent Vehicles Symposium, pp. 1426\u20131431 (2018)","DOI":"10.1109\/IVS.2018.8500549"},{"issue":"5","key":"14_CR23","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1109\/MITS.2023.3283864","volume":"15","author":"C Xiang","year":"2023","unstructured":"Xiang, C., Feng, C., Xie, X., Shi, B., Lu, H., Lv, Y., Yang, M., Niu, Z.: Multi-sensor fusion and cooperative perception for autonomous driving: a review. IEEE Intell. Transp. Syst. Mag. 15(5), 36\u201358 (2023)","journal-title":"IEEE Intell. Transp. Syst. Mag."},{"key":"14_CR24","doi-asserted-by":"crossref","unstructured":"Xu, R., Guo, Y., Han, X., Xia, X., Xiang, H., Ma, J.: Opencda: an open cooperative driving automation framework integrated with co-simulation. In: Proceedings of the IEEE International Intelligent Transportation Systems Conference, pp. 1155\u20131162 (2021)","DOI":"10.1109\/ITSC48978.2021.9564825"},{"key":"14_CR25","unstructured":"Xu, R., Tu, Z., Xiang, H., Shao, W., Zhou, B., Ma, J.: Cobevt: cooperative bird\u2019s eye view semantic segmentation with sparse transformers. arXiv preprint arXiv:2207.02202 (2022)"},{"key":"14_CR26","doi-asserted-by":"crossref","unstructured":"Xu, R., Xiang, H., Tu, Z., Xia, X., Yang, M.H., Ma, J.: V2x-vit: vehicle-to-everything cooperative perception with vision transformer. In: Proceedings of the European Conference on Computer Vision, pp. 107\u2013124. Springer (2022)","DOI":"10.1007\/978-3-031-19842-7_7"},{"key":"14_CR27","doi-asserted-by":"crossref","unstructured":"Xu, R., Xiang, H., Xia, X., Han, X., Li, J., Ma, J.: 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, pp. 2583\u20132589 (2022)","DOI":"10.1109\/ICRA46639.2022.9812038"},{"issue":"10","key":"14_CR28","doi-asserted-by":"publisher","first-page":"3337","DOI":"10.3390\/s18103337","volume":"18","author":"Y Yan","year":"2018","unstructured":"Yan, Y., Mao, Y., Li, B.: SECOND: sparsely embedded convolutional detection. Sensors 18(10), 3337 (2018)","journal-title":"Sensors"},{"key":"14_CR29","doi-asserted-by":"crossref","unstructured":"Yang, K., et al.: Spatio-temporal domain awareness for multi-agent collaborative perception. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 23383\u201323392 (2023)","DOI":"10.1109\/ICCV51070.2023.02137"},{"key":"14_CR30","doi-asserted-by":"crossref","unstructured":"Yang, L., et al.: Bevheight: a robust framework for vision-based roadside 3d object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 21611\u201321620 (2023)","DOI":"10.1109\/CVPR52729.2023.02070"},{"key":"14_CR31","doi-asserted-by":"crossref","unstructured":"Yu, H., et\u00a0al.: 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. pp. 21361\u201321370 (2022)","DOI":"10.1109\/CVPR52688.2022.02067"},{"key":"14_CR32","doi-asserted-by":"crossref","unstructured":"Zimmer, W., Cre\u00df, C., Nguyen, H.T., Knoll, A.C.: Tumtraf intersection dataset: All you need for urban 3d camera-lidar roadside perception. In: Proceedings of the IEEE International Conference on Intelligent Transportation Systems. pp. 1030\u20131037 (2023)","DOI":"10.1109\/ITSC57777.2023.10422289"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2024 Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-91813-1_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,24]],"date-time":"2025-05-24T12:41:58Z","timestamp":1748090518000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-91813-1_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031918124","9783031918131"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-91813-1_14","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"12 May 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Milan","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv2024.ecva.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}