{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:24:33Z","timestamp":1767338673142,"version":"3.37.3"},"reference-count":26,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"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":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2021,10]]},"DOI":"10.1109\/lra.2021.3096253","type":"journal-article","created":{"date-parts":[[2021,7,13]],"date-time":"2021-07-13T20:13:41Z","timestamp":1626207221000},"page":"7049-7056","source":"Crossref","is-referenced-by-count":17,"title":["Sparse-PointNet: See Further in Autonomous Vehicles"],"prefix":"10.1109","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8011-6123","authenticated-orcid":false,"given":"LeiChen","family":"Wang","sequence":"first","affiliation":[]},{"given":"Bastian","family":"Goldluecke","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"458","article-title":"Bayesian hilbert maps for dynamic continuous occupancy mapping","author":"senanayake","year":"0","journal-title":"Proc Conf Robot Learn"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00086"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00252"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1023\/A:1025584807625"},{"year":"2015","key":"ref14","article-title":"Velodyne. &#x201C;The product description of velodyne hdl-32e lidar"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00466"},{"key":"ref16","first-page":"1621","article-title":"High dimensional frustum pointnet for 3D object detection from camera, LiDAR, and radar","author":"wang","year":"0","journal-title":"Proc IEEE Intell Veh Symp"},{"key":"ref17","article-title":"L2R GAN: LiDAR-to-radar translation","author":"wang","year":"0","journal-title":"Proc Asian Conf Comput Vis"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8968513"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/s18103337"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913491297"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/358669.358692"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00102"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01298"},{"key":"ref8","first-page":"5099","article-title":"Pointnet: Deep hierarchical feature learning on point sets in a metric space","author":"qi","year":"0","journal-title":"Proc Conf Neural Inf Process Syst"},{"key":"ref7","first-page":"652","article-title":"Pointnet: Deep learning on point sets for 3D classification and segmentation","author":"qi","year":"0","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1977.tb01600.x"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1177\/0278364916684382"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01164"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00798"},{"article-title":"Ipod: Intensive point-based object detector for point cloud","year":"2018","author":"yang","key":"ref22"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01105"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793508"},{"article-title":"Center-based 3D object detection and tracking","year":"2020","author":"yin","key":"ref23"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00906"},{"article-title":"Class-balanced grouping and sampling for point cloud 3D object detection","year":"2019","author":"zhu","key":"ref25"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7083369\/9475905\/09483647.pdf?arnumber=9483647","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:54:07Z","timestamp":1652194447000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9483647\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10]]},"references-count":26,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/lra.2021.3096253","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"type":"electronic","value":"2377-3766"},{"type":"electronic","value":"2377-3774"}],"subject":[],"published":{"date-parts":[[2021,10]]}}}