{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T03:41:50Z","timestamp":1783395710861,"version":"3.54.6"},"reference-count":37,"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:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"Artificial Intelligence on SUSTainable Energy Infrastructure Network"},{"name":"National Science Foundation","award":["OIA-2119691"],"award-info":[{"award-number":["OIA-2119691"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3486603","type":"journal-article","created":{"date-parts":[[2024,10,25]],"date-time":"2024-10-25T17:27:24Z","timestamp":1729877244000},"page":"158505-158518","source":"Crossref","is-referenced-by-count":3,"title":["A Novel FHWA-Compliant Dataset for Granular Vehicle Detection and Classification"],"prefix":"10.1109","volume":"12","author":[{"given":"Elizabeth","family":"Arthur","sequence":"first","affiliation":[{"name":"Department of Civil and Environmental Engineering, University of Missouri-Columbia, Columbia, MO, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1605-1545","authenticated-orcid":false,"given":"Armstrong","family":"Aboah","sequence":"additional","affiliation":[{"name":"Department of Civil, Construction and Environmental Engineering, North Dakota State University, Fargo, ND, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Civil, Construction and Environmental Engineering, North Dakota State University, Fargo, ND, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2011.2179537"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2020.102644"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3015992"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref5","first-page":"6","article-title":"Task 30: Data fusion methodology","author":"Murrugarra","year":"2010"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2013.09.015"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1117\/12.2259754"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s12205-015-0236-0"},{"issue":"1","key":"ref9","first-page":"49","article-title":"Ground vehicles classification using multi perspective features in FSR micro-sensor network","volume":"9","author":"Abdullah","year":"2017","journal-title":"J. Telecommun., Electron. Comput. Eng."},{"key":"ref10","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/j.neucom.2014.11.019","article-title":"Hybridizing extreme learning machines and genetic algorithms to select acoustic features in vehicle classification applications","volume":"152","author":"Alexandre","year":"2015","journal-title":"Neurocomputing"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/s20113274"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2946162"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-70010-6_1"},{"key":"ref14","first-page":"2350","article-title":"Comparative study of CCTV based vehicle identification and classification models during adverse conditions in Pokhara","volume-title":"Proc. 9th IOE Graduate Conf.","author":"Regmi"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.5220\/0010968900003191"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2018.10.527"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3390\/electronics12102323"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00475"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW59228.2023.00564"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00721"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ADICS58448.2024.10533619"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/2216\/1\/012070"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.11591\/ijeecs.v21.i3.pp1474-1484"},{"issue":"5","key":"ref24","doi-asserted-by":"crossref","first-page":"202","DOI":"10.3390\/drones8050202","article-title":"Research on improved YOLOv5 vehicle target detection algorithm in aerial images","volume":"8","author":"Yang","year":"2024","journal-title":"Drones"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1155\/2023\/2520933"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-023-36868-w"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00621"},{"key":"ref28","article-title":"DETRs beat YOLOs on real-time object detection","author":"Zhao","year":"2023","journal-title":"arXiv:2304.08069"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2024.105039"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72973-7_6"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-55232-0"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3390\/agriculture12081242"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3390\/insects14010054"},{"key":"ref35","volume-title":"Improving detection capabilities of YOLOv8-n for small objects in remote sensing imagery: Towards better precision with simplified model complexity","author":"Bai","year":"2024"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.3390\/agronomy13071824"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72751-1_1"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/6287639\/10380310\/10735209-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10380310\/10735209.pdf?arnumber=10735209","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T02:43:44Z","timestamp":1732675424000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10735209\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3486603","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}