{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T16:54:49Z","timestamp":1783184089870,"version":"3.54.6"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"European Unions Horizon 2020 Research and Innovation Program","award":["871449-OpenDR"],"award-info":[{"award-number":["871449-OpenDR"]}]},{"name":"Eva Mayr-Stihl Stiftung"},{"name":"Baden-Wurttemberg Stiftung gGmbH"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Robot."],"published-print":{"date-parts":[[2022,6]]},"DOI":"10.1109\/tro.2021.3122069","type":"journal-article","created":{"date-parts":[[2021,11,17]],"date-time":"2021-11-17T23:22:48Z","timestamp":1637191368000},"page":"1894-1914","source":"Crossref","is-referenced-by-count":83,"title":["EfficientLPS: Efficient LiDAR Panoptic Segmentation"],"prefix":"10.1109","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0414-8187","authenticated-orcid":false,"given":"Kshitij","family":"Sirohi","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of Freiburg, Freiburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5067-4279","authenticated-orcid":false,"given":"Rohit","family":"Mohan","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Freiburg, Freiburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9321-3029","authenticated-orcid":false,"given":"Daniel","family":"Buscher","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Freiburg, Freiburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5680-6500","authenticated-orcid":false,"given":"Wolfram","family":"Burgard","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Freiburg, Freiburg, Germany"}],"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","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00963"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01445-z"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00847"},{"key":"ref4","first-page":"12475","volume-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit.","author":"Cheng","year":"2020"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3060405"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9340837"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2015.7353481"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00961"},{"key":"ref9","first-page":"207","article-title":"Salsanext: Fast semantic segmentation of lidar point clouds for autonomous driving","volume-title":"Int. Sympos. Vis. Comput.","author":"Cortinhal","year":"2020"},{"key":"ref10","article-title":"Mopt: Multi-object panoptic tracking","volume-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit. Workshop Scalability Auton. Driving","author":"Hurtado","year":"2020"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00319"},{"key":"ref12","first-page":"6105","article-title":"Rethinking model scaling for convolutional neural networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Tan","year":"2019"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.89"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1802.02611"},{"key":"ref15","first-page":"8713","article-title":"Searching for efficient multi-scale architectures for dense image prediction","volume-title":"Adv. Neural Inf. Process. Syst.","author":"Chen","year":"2018"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00939"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01164"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_9"},{"key":"ref19","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":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.cag.2020.02.005"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_6"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00651"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8967762"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8462926"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/IV47402.2020.9304631"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00962"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8206198"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197193"},{"key":"ref29","article-title":"Kprnet: Improving projection-based lidar semantic segmentation","author":"Kochanov","year":"2020"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58604-1_41"},{"key":"ref31","first-page":"6740","article-title":"Learning object bounding boxes for 3D instance segmentation on point clouds","volume":"32","author":"Yang","year":"2019","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00407"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9196622"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00272"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00492"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32248-9_23"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00073"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01109"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01438"},{"key":"ref40","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","author":"Tarvainen","year":"2017"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913491297"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.749"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00464"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01298"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01188-y"},{"key":"ref48","article-title":"Convoluted mixture of deep experts for robust semantic segmentation","volume-title":"Proc. IEEE\/RSJ Int. Conf. Intell. Robots Syst. Workshop, State Estimation Terrain Percep. all Terrain Mobile Robots","author":"Valada","year":"2016"},{"key":"ref49","article-title":"Towards robust semantic segmentation using deep fusion","volume-title":"Robot.: Sci. Syst.Workshop, Sceptics Right? Limits Potentials Deep Learn. Robot.","author":"Valada"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00656"}],"container-title":["IEEE Transactions on Robotics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8860\/9789685\/09617736.pdf?arnumber=9617736","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T00:46:02Z","timestamp":1705020362000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9617736\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6]]},"references-count":50,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tro.2021.3122069","relation":{},"ISSN":["1552-3098","1941-0468"],"issn-type":[{"value":"1552-3098","type":"print"},{"value":"1941-0468","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6]]}}}