{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T02:48:53Z","timestamp":1771555733693,"version":"3.50.1"},"reference-count":29,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"gifts from Bosch Corporate Research"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3009914","type":"journal-article","created":{"date-parts":[[2020,7,17]],"date-time":"2020-07-17T20:26:01Z","timestamp":1595017561000},"page":"131848-131858","source":"Crossref","is-referenced-by-count":21,"title":["SAnE: Smart Annotation and Evaluation Tools for Point Cloud Data"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8236-7046","authenticated-orcid":false,"given":"Hasan Asy'ari","family":"Arief","sequence":"first","affiliation":[]},{"given":"Mansur","family":"Arief","sequence":"additional","affiliation":[]},{"given":"Guilin","family":"Zhang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7412-5074","authenticated-orcid":false,"given":"Zuxin","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Manoj","family":"Bhat","sequence":"additional","affiliation":[]},{"given":"Ulf Geir","family":"Indahl","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7818-7050","authenticated-orcid":false,"given":"Havard","family":"Tveite","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9400-8446","authenticated-orcid":false,"given":"Ding","family":"Zhao","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00096"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2019.8814071"},{"key":"ref12","first-page":"226","article-title":"A density-based algorithm for discovering clusters in large spatial databases with noise","author":"ester","year":"1996","journal-title":"Proc 1st Intl Conf on Knowledge Discovery and Data Mining (KDD)"},{"key":"ref13","author":"welch","year":"1995","journal-title":"An introduction to the Kalman filter"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.5244\/C.25.109"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913491297"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2019.07.002"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00472"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.16"},{"key":"ref19","first-page":"820","article-title":"PointCNN: Convolution on X-transformed points","author":"li","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00481"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2019.8916980"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2017.7995698"},{"key":"ref3","author":"abuelsamid","year":"2019"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00102"},{"key":"ref29","first-page":"216","article-title":"A Papier-Mâché approach to learning 3D surface generation","author":"groueix","year":"2018","journal-title":"Proc IEEE Conf Comput Vis and Pattern Recog"},{"key":"ref5","first-page":"26","article-title":"Density-adaptive sampling for heterogeneous point cloud object segmentation in autonomous vehicle applications","author":"arief","year":"2019","journal-title":"Proc IEEE Conf Comp Vis Pattern Recognit"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8594049"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8968513"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/rs10060973"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.477"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2892405"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3115\/1564131.1564137"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1167\/tvst.5.5.6"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref23","first-page":"5099","article-title":"Pointnet: Deep hierarchical feature learning on point sets in a metric space","author":"qi","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/358669.358692"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09143095.pdf?arnumber=9143095","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T01:08:43Z","timestamp":1641949723000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9143095\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3009914","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}