{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T22:45:37Z","timestamp":1783118737080,"version":"3.54.6"},"reference-count":62,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Federal Ministry of Education and Research of Germany"},{"DOI":"10.13039\/501100022804","name":"Eva Mayr-Stihl Stiftung","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100022804","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Robot."],"published-print":{"date-parts":[[2022,8]]},"DOI":"10.1109\/tro.2022.3150683","type":"journal-article","created":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T20:39:31Z","timestamp":1646167171000},"page":"2074-2093","source":"Crossref","is-referenced-by-count":226,"title":["LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAM"],"prefix":"10.1109","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6662-5810","authenticated-orcid":false,"given":"Daniele","family":"Cattaneo","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of Freiburg, Freiburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1093-7270","authenticated-orcid":false,"given":"Matteo","family":"Vaghi","sequence":"additional","affiliation":[{"name":"Department Informatica, Sistemistica e Comununicazioni, Universit&#x00E0; degli Studi di Milano-Bicocca, Milan, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4710-3114","authenticated-orcid":false,"given":"Abhinav","family":"Valada","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Freiburg, Freiburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","article-title":"CMRNet++: Map and camera agnostic monocular visual localization in LiDAR maps","volume-title":"Proc. Int. Conf. Robot. Automat. Workshop Emerg. Learn. Algorithmic Methods Data Assoc. Robot.","author":"Cattaneo","year":"2020"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-95459-8_35"},{"key":"ref3","article-title":"Automation of hydroponic installations using a robot with position based visual feedback","volume-title":"Proc. Int. Conf. Agricultural Eng. CIGR-Ageng","author":"Tanke","year":"2012"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-40686-7_43"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2015.2463671"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1177\/0278364908090961"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2011.6094638"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2013.6630945"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2016.7759060"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2021.3116424"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00470"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8968094"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s10514-021-09999-0"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341060"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341299"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/BF01427149"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2009.V.021"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2513405"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2016.7759602"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00733"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01184"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01298"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00362"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.401"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341176"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.572"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.23919\/IConAC.2017.8082072"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s11370-019-00284-9"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15567-3_43"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2009.5457637"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9340992"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341010"},{"key":"ref34","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":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3326362"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2000.846406"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2009.5152473"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/358669.358692"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_47"},{"key":"ref40","first-page":"674","article-title":"An iterative image registration technique with an application to stereo vision","volume-title":"Proc. Int. Joint Conf. Artif. Intell.","author":"Lucas","year":"1981"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01054"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/0304-3975(85)90224-5"},{"key":"ref43","first-page":"5099","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"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540039"},{"key":"ref45","article-title":"Learnable pooling with context gating for video classification","author":"Miech","year":"2017"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177703591"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00499"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58604-1_32"},{"key":"ref49","first-page":"10491","article-title":"Deep shells: Unsupervised shape correspondence with optimal transport","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Eisenberger","year":"2020"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01029"},{"key":"ref51","first-page":"3186","article-title":"Unbalanced minibatch optimal transport; applications to domain adaptation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Fatras","year":"2021"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1090\/mcom\/3303"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00939"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9196764"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2020.3033695"},{"key":"ref57","article-title":"Open3D: A modern library for 3D data processing","volume-title":"arXiv:1801.09847","author":"Zhou","year":"2018"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00259"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197298"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01112"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.15607\/rss.2020.xvi.007"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2019.2921572"}],"container-title":["IEEE Transactions on Robotics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8860\/9851593\/09723505.pdf?arnumber=9723505","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,17]],"date-time":"2024-01-17T23:39:03Z","timestamp":1705534743000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9723505\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8]]},"references-count":62,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tro.2022.3150683","relation":{},"ISSN":["1552-3098","1941-0468"],"issn-type":[{"value":"1552-3098","type":"print"},{"value":"1941-0468","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,8]]}}}