{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T23:31:22Z","timestamp":1773790282689,"version":"3.50.1"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Veh."],"published-print":{"date-parts":[[2024,2]]},"DOI":"10.1109\/tiv.2023.3348099","type":"journal-article","created":{"date-parts":[[2023,12,29]],"date-time":"2023-12-29T20:09:47Z","timestamp":1703880587000},"page":"3917-3927","source":"Crossref","is-referenced-by-count":8,"title":["SACINet: Semantic-Aware Cross-Modal Interaction Network for Real-Time 3D Object Detection"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-8367-9057","authenticated-orcid":false,"given":"Ying","family":"Yang","sequence":"first","affiliation":[{"name":"Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4226-4368","authenticated-orcid":false,"given":"Hui","family":"Yin","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3766-4770","authenticated-orcid":false,"given":"Ai-Xin","family":"Chong","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9245-0110","authenticated-orcid":false,"given":"Jin","family":"Wan","sequence":"additional","affiliation":[{"name":"Key Laboratory of Beijing for Railway Engineering, Beijing Jiaotong University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-9313-2919","authenticated-orcid":false,"given":"Qing-Yi","family":"Liu","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/tiv.2023.3264658"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3023541"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.105951"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/tmm.2023.3270638"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58555-6_3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794195"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793492"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00466"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC48978.2021.9564951"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2019.00752"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_39"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160968"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00116"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8594049"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341791"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/WACV51458.2022.00380"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2018.2849505"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-022-04003-3"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TBC.2023.3264880"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00070"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00504"},{"issue":"1","key":"ref23","first-page":"137","article-title":"DeepLabv3 : Encoder-decoder with atrous separable convolution for semantic image segmentation","volume":"34","author":"Firdaus-Nawi","year":"2011","journal-title":"Pertanika J. Trop. Agric. Sci"},{"key":"ref24","first-page":"923","article-title":"End-to-end multi-view fusion for 3D object detection in LiDAR point clouds","volume-title":"Proc. Conf. Robot Learn.","author":"Zhou","year":"2020"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00472"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3390\/s18103337"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2018.2858826"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2012.6248074"},{"key":"ref30","doi-asserted-by":"crossref","DOI":"10.1109\/ICCV51070.2023.01636","article-title":"OpenOccupancy: A large scale benchmark for surrounding semantic occupancy perception","author":"Wang","year":"2023"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01164"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1604.01685"},{"key":"ref33","article-title":"Decoupled weight decay regularization","author":"Loshchilov","year":"2017","journal-title":"Proc. Int. Conf. Learn. Representations"},{"key":"ref34","article-title":"SGDR: Stochastic gradient descent with warm restarts","author":"Loshchilov","year":"2017","journal-title":"Proc. Int. Conf. Learn. Representations"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00102"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3055491"},{"issue":"3","key":"ref37","first-page":"340","article-title":"Real-time detection of 3D objects based on multi-sensor information fusion","volume":"44","author":"Desheng","year":"2022","journal-title":"Automot. Eng."},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01054"},{"key":"ref39","first-page":"5105","article-title":"PointNet++: Deep hierarchical feature learning on point sets in a metric space","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Qi","year":"2017"}],"container-title":["IEEE Transactions on Intelligent Vehicles"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7274857\/10510053\/10376309.pdf?arnumber=10376309","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,27]],"date-time":"2025-06-27T17:47:38Z","timestamp":1751046458000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10376309\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2]]},"references-count":39,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tiv.2023.3348099","relation":{},"ISSN":["2379-8904","2379-8858"],"issn-type":[{"value":"2379-8904","type":"electronic"},{"value":"2379-8858","type":"print"}],"subject":[],"published":{"date-parts":[[2024,2]]}}}