{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T17:43:15Z","timestamp":1783100595617,"version":"3.54.6"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&amp;D Program of China","award":["2022YFB4700503"],"award-info":[{"award-number":["2022YFB4700503"]}]},{"name":"Yangtze River Delta S&amp;T Innovation Community Joint Research Project","award":["2023CSJGG0800"],"award-info":[{"award-number":["2023CSJGG0800"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52372411"],"award-info":[{"award-number":["52372411"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Defense Industrial Technology Development Program","award":["JCKY2023110C030"],"award-info":[{"award-number":["JCKY2023110C030"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2025,12]]},"DOI":"10.1109\/lra.2025.3619792","type":"journal-article","created":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T17:55:27Z","timestamp":1760032527000},"page":"12596-12603","source":"Crossref","is-referenced-by-count":2,"title":["SADA-3D: Structure-Aware Unsupervised Domain Adaptation Segmentation of 3D Point Clouds"],"prefix":"10.1109","volume":"10","author":[{"given":"Shengjie","family":"Huang","sequence":"first","affiliation":[{"name":"College of Mechanical and Vehicle Engineering, Hunan University, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-1538-2083","authenticated-orcid":false,"given":"Si","family":"Zuo","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence and Robotics, Hunan University, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-1081-8075","authenticated-orcid":false,"given":"Qi","family":"Wu","sequence":"additional","affiliation":[{"name":"Wuxi Intelligent Control Research Institute of Hunan University, Wuxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0346-7883","authenticated-orcid":false,"given":"Yougang","family":"Bian","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle, College of Mechanical and Vehicle Engineering, Hunan University, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3916-5801","authenticated-orcid":false,"given":"Xiaohui","family":"Qin","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle, College of Mechanical and Vehicle Engineering, Hunan University, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luoxing","family":"Li","sequence":"additional","affiliation":[{"name":"Research Institute of HNU in Chongqing, Hunan University, Chongqing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-7420-3492","authenticated-orcid":false,"given":"Hongmao","family":"Qin","sequence":"additional","affiliation":[{"name":"College of Mechanical and Vehicle Engineering, Hunan University, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s42154-022-00212-1"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00961"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00651"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s42154-023-00258-9"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s42154-023-00223-6"},{"key":"ref6","article-title":"Deep domain confusion: Maximizing for domain invariance","author":"Tzeng","year":"2014"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.316"},{"key":"ref8","article-title":"Auxiliary tasks in multi-task learning","author":"Liebel","year":"2018"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00025"},{"key":"ref10","first-page":"652","article-title":"PointNet: Deep learning on point sets for 3D classification and segmentation","volume-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit.","author":"Qi","year":"2017"},{"key":"ref11","first-page":"5100","article-title":"PointNet++: Deep hierarchical feature learning on point sets in a metric space","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Qi","year":"2017"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00831"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02089"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00563"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3234542"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8462926"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8967762"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.3007440"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00962"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00507"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793495"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-64559-5_16"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00319"},{"key":"ref24","article-title":"Cylinder3D: An effective 3D framework for driving-scene LiDAR semantic segmentation","author":"Zhou","year":"2020"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58604-1_41"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i4.16464"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561255"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i3.20183"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01960"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160410"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3147326"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00902"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341508"},{"key":"ref34","first-page":"11035","article-title":"PolarMix: A general data augmentation technique for LiDAR point clouds","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"35","author":"Xiao","year":"2022"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19827-4_34"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01812"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02199"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00780"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00262"},{"key":"ref40","first-page":"1180","article-title":"Unsupervised domain adaptation by backpropagation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ganin","year":"2015"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01161"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2018.00464"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CIBCB48159.2020.9277638"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.07.049"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19827-4_33"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00252"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01164"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00939"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-57077-4_10"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/IWQoS.2018.8624183"},{"key":"ref52","article-title":"Visualizing high-dimensional data using t-629 SNE","volume":"9","author":"Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7083369\/11215960\/11197927.pdf?arnumber=11197927","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,24]],"date-time":"2025-11-24T19:02:29Z","timestamp":1764010949000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11197927\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12]]},"references-count":52,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/lra.2025.3619792","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"value":"2377-3766","type":"electronic"},{"value":"2377-3774","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12]]}}}