{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,3]],"date-time":"2025-06-03T06:04:58Z","timestamp":1748930698102,"version":"3.28.0"},"reference-count":39,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T00:00:00Z","timestamp":1625961600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T00:00:00Z","timestamp":1625961600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T00:00:00Z","timestamp":1625961600000},"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":[],"published-print":{"date-parts":[[2021,7,11]]},"DOI":"10.1109\/iv48863.2021.9575779","type":"proceedings-article","created":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T16:59:16Z","timestamp":1635785956000},"page":"810-817","source":"Crossref","is-referenced-by-count":4,"title":["Learning Semantics on Radar Point-Clouds"],"prefix":"10.1109","author":[{"given":"Simon T.","family":"Isele","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fabian","family":"Klein","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mathis","family":"Brosowsky","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J. Marius","family":"Zollner","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0733-5"},{"key":"ref38","article-title":"Point sift: A sift-like network module for 3d point cloud semantic segmentation","volume":"abs 1807 652","author":"jiang","year":"2018","journal-title":"CoRR"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00115"},{"key":"ref32","article-title":"Asap-net: Attention and structure aware point cloud sequence segmentation","author":"cao","year":"2020","journal-title":"31 st British Machine Vision Conference 2020 BMVC 2020"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00815"},{"key":"ref30","first-page":"5099","article-title":"Pointnet++: Deep hierarchical feature learning on point sets in a metric space","author":"qi","year":"0","journal-title":"Advances in Neural Information Processing Systems 30 Annual Conference on Neural Information Processing Systems 2017 4&#x2013;9 December 2017 Long Beach CA USA"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00962"},{"key":"ref36","volume":"3","author":"quigley","year":"2009","journal-title":"ROS An Open-source Robot Operating System"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref34","article-title":"Radar artifact labeling framework (RALF): method for plausible radar detections in datasets","volume":"abs 2012 1993","author":"isele","year":"2020","journal-title":"CoRR"},{"key":"ref10","first-page":"1","article-title":"Comparison of random forest and long short-term memory network performances in classification tasks using radar","author":"wohler","year":"0","journal-title":"Sensor Data Fusion Trends Solutions Applications SDF 2017 Bonn Germany October 10&#x2013;12 2017"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.23919\/ICIF.2018.8455344"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8462926"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8205955"},{"key":"ref14","article-title":"Self-supervised learning of lidar segmentation for autonomous indoor navigation","volume":"abs 2012 5897","author":"thomas","year":"2020","journal-title":"CoRR"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2018.2856268"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8967762"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-54345-0_3"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00158"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.609"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989666"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2019.2955853"},{"key":"ref27","article-title":"Mvlidarnet: Real-time multi-class scene understanding for autonomous driving using multiple views","volume":"abs 2006 5518","author":"chen","year":"2020","journal-title":"CoRR"},{"key":"ref3","article-title":"Modeling and simulation of radar sensor artifacts for virtual testing of autonomous driving","author":"martin","year":"2019","journal-title":"9 Tagung Automatisiertes Fahren (M&#x00FC;nchen) Lehrstuhl fr Fahrzeugtechnik mit TOV S&#x00DC;D Akademie"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913491297"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2016.7727386"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00939"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01164"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00252"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.2972974"},{"key":"ref9","first-page":"129","article-title":"Automotive radar dataset for deep learning based 3d object detection","author":"meyer","year":"0","journal-title":"2019 16th European Radar Conference (EuRAD) EuRAD"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2983149"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/IV47402.2020.9304694"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2016.7900038"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00472"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00962"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.99"},{"key":"ref26","article-title":"Annotating radar data efficiently: Semantic radar labeling framework(seralf)","author":"isele","year":"0","journal-title":"NeurIPS workshop"},{"key":"ref25","article-title":"Cylinder3d: An effective 3d framework for driving-scene lidar semantic segmentation","volume":"abs 2008 1550","author":"zhou","year":"2020","journal-title":"CoRR"}],"event":{"name":"2021 IEEE Intelligent Vehicles Symposium (IV)","start":{"date-parts":[[2021,7,11]]},"location":"Nagoya, Japan","end":{"date-parts":[[2021,7,17]]}},"container-title":["2021 IEEE Intelligent Vehicles Symposium (IV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9575127\/9575130\/09575779.pdf?arnumber=9575779","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T11:47:54Z","timestamp":1652183274000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9575779\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,11]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/iv48863.2021.9575779","relation":{},"subject":[],"published":{"date-parts":[[2021,7,11]]}}}