{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T18:01:03Z","timestamp":1787162463541,"version":"3.56.0"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100002427","name":"Ford Motor Company","doi-asserted-by":"publisher","award":["Ford-MSU Alliance research program"],"award-info":[{"award-number":["Ford-MSU Alliance research program"]}],"id":[{"id":"10.13039\/100002427","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Mag."],"published-print":{"date-parts":[[2021,1]]},"DOI":"10.1109\/msp.2020.2984801","type":"journal-article","created":{"date-parts":[[2020,12,24]],"date-time":"2020-12-24T16:22:08Z","timestamp":1608826928000},"page":"53-67","source":"Crossref","is-referenced-by-count":193,"title":["Object Detection Under Rainy Conditions for Autonomous Vehicles: A Review of State-of-the-Art and Emerging Techniques"],"prefix":"10.1109","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7665-5538","authenticated-orcid":false,"given":"Mazin","family":"Hnewa","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hayder","family":"Radha","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00352"},{"key":"ref32","first-page":"700","article-title":"Unsupervised image-to-image translation networks","author":"liu","year":"0","journal-title":"Proc Advances Neural Information Processing Systems"},{"key":"ref31","article-title":"The PASCAL visual object classes challenge 2012 development kit","author":"everingham","year":"2011","journal-title":"Pattern Analysis Statistical Modelling and Computational Learning"},{"key":"ref30","author":"korosec","year":"2019","journal-title":"Waymo self-driving cars head to Florida for rainy season"},{"key":"ref37","article-title":"Yolov3: An incremental improvement","author":"redmon","year":"2018"},{"key":"ref36","first-page":"802","article-title":"Convolutional LSTM network: A machine learning approach for precipitation nowcasting","author":"xingjian","year":"0","journal-title":"Proc Advances Neural Information Processing Systems"},{"key":"ref35","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"0","journal-title":"Proc Advances Neural Information Processing Systems"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref10","first-page":"379","article-title":"R-FCN: Object detection via region-based fully convolutional networks","author":"dai","year":"0","journal-title":"Proc Advances Neural Information Processing Systems"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2004.1315077"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2179057"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.183"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.186"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00263"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00406"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01255"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_53"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/1141911.1141985"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.cag.2006.03.013"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2018.8500504"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref29","year":"2019","journal-title":"Cycore Rainfall Simulation Adobe after Effects CC 2019"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.60"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.312"},{"key":"ref20","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"0","journal-title":"Proc 3rd Int Conf Learning Representations ICLR"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.167"},{"key":"ref42","first-page":"1180","article-title":"Unsupervised domain adaptation by backpropagation","volume":"37","author":"ganin","year":"0","journal-title":"Proc 32nd Int Conf Machine Learning"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.534"},{"key":"ref41","first-page":"465","article-title":"Toward multimodal image-to-image translation","author":"zhu","year":"0","journal-title":"Proc Advances Neural Information Processing Systems"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref26","article-title":"Nuscenes: A multimodal dataset for autonomous driving","author":"caesar","year":"2019"},{"key":"ref25","article-title":"Bdd100k: A diverse driving video database with scalable annotation tooling","author":"yu","year":"2018"}],"container-title":["IEEE Signal Processing Magazine"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/79\/9307288\/09307324.pdf?arnumber=9307324","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T10:51:15Z","timestamp":1652179875000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9307324\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1]]},"references-count":42,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/msp.2020.2984801","relation":{},"ISSN":["1053-5888","1558-0792"],"issn-type":[{"value":"1053-5888","type":"print"},{"value":"1558-0792","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1]]}}}