{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T04:30:18Z","timestamp":1780633818458,"version":"3.54.1"},"reference-count":29,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100010418","name":"Institute for Information & Communication Technology Promotion (IITP) grant through the Ministry of Science and ICT (MSIT), South Korea","doi-asserted-by":"publisher","award":["2017-0-00306"],"award-info":[{"award-number":["2017-0-00306"]}],"id":[{"id":"10.13039\/501100010418","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Outdoor Surveillance Robots","award":["2014-3-00123"],"award-info":[{"award-number":["2014-3-00123"]}]},{"name":"Development of High Performance Visual BigData Discovery Platform for Large-Scale Realtime Data Analysis"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3095525","type":"journal-article","created":{"date-parts":[[2021,7,8]],"date-time":"2021-07-08T19:33:36Z","timestamp":1625772816000},"page":"99276-99286","source":"Crossref","is-referenced-by-count":3,"title":["Rotation-Aware 3D Vehicle Detection From Point Cloud"],"prefix":"10.1109","volume":"9","author":[{"given":"Hyunjun","family":"Choi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiyeoup","family":"Jeong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jin Young","family":"Choi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2019.8813895"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01298"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00752"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8968513"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00204"},{"key":"ref15","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"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01054"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref18","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.198"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_39"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.597"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8594049"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00798"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00375"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00472"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00086"},{"key":"ref7","article-title":"Complex-YOLO: An Euler-region-proposal for real-time 3D object detection on point clouds","author":"simony","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV) Workshops"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.691"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/s18103337"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00102"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.16"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00252"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2818020"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2017.108"},{"key":"ref25","first-page":"146","article-title":"HDNET: Exploiting HD maps for 3D object detection","author":"yang","year":"2018","journal-title":"Proc Conf Robot Learn"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09477575.pdf?arnumber=9477575","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T08:39:12Z","timestamp":1643186352000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9477575\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3095525","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}