乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,11]],"date-time":"2024-08-11T05:13:39Z","timestamp":1723353219410},"reference-count":54,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"NSF","award":["CAREER-2046955","IIS-1954778"]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Robot."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tro.2024.3400831","type":"journal-article","created":{"date-parts":[[2024,5,14]],"date-time":"2024-05-14T17:41:36Z","timestamp":1715708496000},"page":"3322-3340","source":"Crossref","is-referenced-by-count":5,"title":["Toward Robust Robot 3-D Perception in Urban Environments: The UT Campus Object Dataset"],"prefix":"10.1109","volume":"40","author":[{"ORCID":"http:\/\/orcid.org\/0009-0003-9397-0128","authenticated-orcid":false,"given":"Arthur","family":"Zhang","sequence":"first","affiliation":[{"name":"University of Texas, Austin, TX, USA"}]},{"given":"Chaitanya","family":"Eranki","sequence":"additional","affiliation":[{"name":"University of Texas, Austin, TX, USA"}]},{"given":"Christina","family":"Zhang","sequence":"additional","affiliation":[{"name":"University of Texas, Austin, TX, USA"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-2814-6768","authenticated-orcid":false,"given":"Ji-Hwan","family":"Park","sequence":"additional","affiliation":[{"name":"University of Texas, Austin, TX, USA"}]},{"given":"Raymond","family":"Hong","sequence":"additional","affiliation":[{"name":"University of Texas, Austin, TX, USA"}]},{"given":"Pranav","family":"Kalyani","sequence":"additional","affiliation":[{"name":"University of Texas, Austin, TX, USA"}]},{"ORCID":"http:\/\/orcid.org\/0009-0007-2389-793X","authenticated-orcid":false,"given":"Lochana","family":"Kalyanaraman","sequence":"additional","affiliation":[{"name":"University of Texas, Austin, TX, USA"}]},{"given":"Arsh","family":"Gamare","sequence":"additional","affiliation":[{"name":"University of Texas, Austin, TX, USA"}]},{"ORCID":"http:\/\/orcid.org\/0009-0001-9351-809X","authenticated-orcid":false,"given":"Arnav","family":"Bagad","sequence":"additional","affiliation":[{"name":"University of Texas, Austin, TX, USA"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-6204-4517","authenticated-orcid":false,"given":"Maria","family":"Esteva","sequence":"additional","affiliation":[{"name":"University of Texas, Austin, TX, USA"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-1211-1731","authenticated-orcid":false,"given":"Joydeep","family":"Biswas","sequence":"additional","affiliation":[{"name":"University of Texas, Austin, TX, USA"}]}],"member":"263","reference":[{"key":"ref1","article-title":"UT campus object dataset (CODa)","author":"Zhang","year":"2023"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"740","DOI":"10.1007\/978-3-319-10602-1_48","article-title":"Microsoft COCO: Common objects in context","volume-title":"Proc. Compu. Vis. ECCV 2014","author":"Lin","year":"2014"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref5","first-page":"3354","volume-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit.","author":"Geiger","year":"2012"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3184025"},{"key":"ref7","article-title":"JRDB: A dataset and benchmark for visual perception for navigation in human environments","author":"Martn-Martn","year":"2019"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00963"},{"key":"ref9","article-title":"Ganav: Group-wise attention network for classifying navigable regions in unstructured outdoor environments","author":"Guan","year":"2021"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.19"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1177\/0278364915614638"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00252"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01164"},{"key":"ref14","article-title":"A dataset for semantic segmentation of point cloud sequences","author":"Behley","year":"2019"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913509035"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2012.6385773"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9340849"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8968283"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/icra48506.2021.9561251"},{"key":"ref20","article-title":"Alita: A large-scale incremental dataset for long-term autonomy","author":"Yin","year":"2022"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/IROS47612.2022.9982119"},{"key":"ref22","first-page":"3139","volume-title":"Proc. Int. Conf. Robot. Autom.","author":"Shi","year":"2020"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2014.6836101"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33715-4_54"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3138527"},{"key":"ref26","article-title":"S3e: A large-scale multimodal dataset for collaborative SLAM","author":"Feng","year":"2023"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2024.3359548"},{"key":"ref28","article-title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting","volume-title":"Proc. Neural Inf. Process. Syst. Track Datasets Benchmarks","author":"Wilson","year":"2021"},{"key":"ref29","article-title":"One million scenes for autonomous driving: ONCE dataset","author":"Mao","year":"2021"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3179507"},{"key":"ref31","article-title":"Cityscapes 3 D: Dataset and benchmark for 9 DoF vehicle detection","author":"G hlert","year":"2020"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr42600.2020.00271"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1177\/0278364916679498"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00560"},{"key":"ref35","first-page":"409","article-title":"One thousand and one hours: Self-driving motion prediction dataset","volume-title":"Proc. Conf. Robot. Learn.","author":"Houston","year":"2020"},{"key":"ref36","article-title":"Fcns in the wild: Pixel-level adversarial and constraint-based adaptation","author":"Hoffman","year":"2016"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00780"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3179507"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.5860\/choice.47-6274"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/34.888718"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC48978.2021.9564700"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/mfi52462.2021.9591180"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8594299"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.3028828"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11495"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01298"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01161"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01054"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01173"},{"key":"ref50","article-title":"Openpcdet: An open-source toolbox for 3 D object detection from point clouds","author":"Team","year":"2020"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr46437.2021.01023"},{"key":"ref52","article-title":"A disciplined approach to neural network hyper-parameters: Part 1learning rate, batch size, momentum, and weight decay","author":"Smith","year":"2018"},{"key":"ref53","article-title":"Cylinder3D: An effective 3 D framework for driving-scene LiDAR semantic segmentation","author":"Zhou","year":"2020"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19815-1_39"}],"container-title":["IEEE Transactions on Robotics"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/8860\/10365208\/10530418-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8860\/10365208\/10530418.pdf?arnumber=10530418","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,2]],"date-time":"2024-07-02T04:37:26Z","timestamp":1719895046000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10530418\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":54,"URL":"https:\/\/doi.org\/10.1109\/tro.2024.3400831","relation":{},"ISSN":["1552-3098","1941-0468"],"issn-type":[{"value":"1552-3098","type":"print"},{"value":"1941-0468","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}