{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T13:04:53Z","timestamp":1773320693879,"version":"3.50.1"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["71971116"],"award-info":[{"award-number":["71971116"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Frontier Technologies R&D Program of Jiangsu","award":["BF2024052"],"award-info":[{"award-number":["BF2024052"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Veh. Technol."],"published-print":{"date-parts":[[2025,5]]},"DOI":"10.1109\/tvt.2025.3531379","type":"journal-article","created":{"date-parts":[[2025,1,17]],"date-time":"2025-01-17T13:35:47Z","timestamp":1737120947000},"page":"7416-7429","source":"Crossref","is-referenced-by-count":4,"title":["Multiple Attention Mechanism for Camera-Radar Fusion Object Detection"],"prefix":"10.1109","volume":"74","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2542-6529","authenticated-orcid":false,"given":"Wenbo","family":"Wang","sequence":"first","affiliation":[{"name":"School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nangjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-0629-4643","authenticated-orcid":false,"given":"Yuwen","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nangjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Nanjing Les Information Technology Company Ltd., Nangjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0701-9690","authenticated-orcid":false,"given":"Weibin","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nangjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2023.3296735"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3232135"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2023.3332603"},{"key":"ref4","doi-asserted-by":"crossref","DOI":"10.1109\/ITSC58415.2024.10919920","article-title":"RadarPillars: Efficient object detection from 4D radar point clouds","author":"Musiat","year":"2024"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3163390"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3162299"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2023.3336738"},{"key":"ref8","volume-title":"Fundamentals of Radar Signal Processing","volume":"1","author":"Richards","year":"2005"},{"issue":"4","key":"ref9","first-page":"491","article-title":"DBSCAN: Density-based spatial clustering of applications with noise","volume":"48","author":"Bi","year":"2012","journal-title":"J. Nanjing Univ. (Natural Sci.)"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/RADAR.2010.5494432"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.5194\/ars-10-45-2012"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2018.8500607"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52733.2024.01414"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01615"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2014.6907100"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i1.25198"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/IROS47612.2022.9981778"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.5555\/3045118.3045336"},{"key":"ref19","first-page":"2204","article-title":"Recurrent models of visual attention","volume-title":"Proc. Int. Conf. Adv. Neural Inf. Process. Syst.","volume":"3","author":"Mnih","year":"2014"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2913372"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1807.06521"},{"key":"ref22","article-title":"BAM: Bottleneck attention module","author":"Park","year":"2018"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01350"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref25","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. 3rd Int. Conf. Learn. Representations","author":"Simonyan","year":"2015"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2021.3058895"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2020.3036047"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.l007\/978-3-319-46448-0_2"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-34879-3_27"},{"key":"ref30","first-page":"1","article-title":"Automotive radar and camera fusion using generative adversarial networks","volume-title":"Comput. Vis. Image Understanding","volume":"184","author":"Lekic","year":"2019"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01232"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00183"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00338"},{"key":"ref34","first-page":"9423","article-title":"Gather-excite: Exploiting feature context in convolutional neural networks","volume-title":"Proc. Int. Conf. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Hu","year":"2018"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00406"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00326"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2957850"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2865280"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3041278"},{"key":"ref40","first-page":"9423","article-title":"Gather-excite: Exploiting feature context in convolutional neural networks","volume-title":"Proc. 32nd Int. Conf. Neural Inf. Process. Syst.","author":"Hu","year":"2018"},{"key":"ref41","first-page":"9432","article-title":"Harmonizing the object recognition strategies of deep neural networks with humans","volume-title":"Adv. Neural Inf. Process. Syst.","volume":"35","author":"Fel","year":"2022"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00318"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00246"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01011"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00314"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160831"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/SDF55338.2022.9931946"},{"key":"ref49","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"Comput. Sci."}],"container-title":["IEEE Transactions on Vehicular Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/25\/11014490\/10845197.pdf?arnumber=10845197","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T19:37:04Z","timestamp":1773257824000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10845197\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5]]},"references-count":49,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tvt.2025.3531379","relation":{},"ISSN":["0018-9545","1939-9359"],"issn-type":[{"value":"0018-9545","type":"print"},{"value":"1939-9359","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5]]}}}