{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T16:22:44Z","timestamp":1784737364914,"version":"3.55.0"},"reference-count":39,"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\/"}],"funder":[{"name":"Chinese National Social Science Major Program","award":["23&ZD138"],"award-info":[{"award-number":["23&ZD138"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3453298","type":"journal-article","created":{"date-parts":[[2024,9,2]],"date-time":"2024-09-02T17:49:52Z","timestamp":1725299392000},"page":"136280-136296","source":"Crossref","is-referenced-by-count":52,"title":["YOLOv8-FDD: A Real-Time Vehicle Detection Method Based on Improved YOLOv8"],"prefix":"10.1109","volume":"12","author":[{"given":"Xiaojia","family":"Liu","sequence":"first","affiliation":[{"name":"College of Navigation, Jimei University, Xiamen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-0607-6278","authenticated-orcid":false,"given":"Yipeng","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Navigation, Jimei University, Xiamen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-0033-2533","authenticated-orcid":false,"given":"Dexin","family":"Yu","sequence":"additional","affiliation":[{"name":"College of Navigation, Jimei University, Xiamen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zimin","family":"Yuan","sequence":"additional","affiliation":[{"name":"College of Navigation, Jimei University, Xiamen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","first-page":"20","article-title":"A review of vehicle target detection algorithms under computer vision","volume":"22","author":"Li","year":"2024","journal-title":"Comput. Eng. Appl."},{"key":"ref2","first-page":"13","article-title":"Research progress of vehicle detection and parameter recognition based on machine vision","volume":"34","author":"Kong","year":"2021","journal-title":"Chin. J. Highway"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref5","first-page":"1","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","volume-title":"Proc. NIPS","author":"Ren"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"ref8","first-page":"55","article-title":"A review of single-stage vehicle detection algorithms in deep learning","volume":"58","author":"Yang","year":"2022","journal-title":"Comput. Eng. Appl."},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2004.10934"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2209.02976"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00721"},{"key":"ref12","article-title":"YOLOv9: Learning what you want to learn using programmable gradient information","author":"Wang","year":"2024","journal-title":"arXiv:2402.13616"},{"key":"ref13","article-title":"YOLOv10: Real-time end-to-end object detection","author":"Wang","year":"2024","journal-title":"arXiv:2405.14458"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.32604\/cmc.2023.038910"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2020.02.067"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3196954"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICAICA52286.2021.9498188"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3390\/drones6050108"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-022-19674-8"},{"key":"ref20","article-title":"DWRSeg: Rethinking efficient acquisition of multi-scale contextual information for real-time semantic segmentation","author":"Wei","year":"2022","journal-title":"arXiv:2212.01173"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00554"},{"key":"ref22","article-title":"YOLOX: Exceeding YOLO series in 2021","author":"Ge","year":"2021","journal-title":"arXiv:2107.08430"},{"key":"ref23","article-title":"DAMO-YOLO: A report on real-time object detection design","volume-title":"arXiv:2211.15444","author":"Xu","year":"2023"},{"key":"ref24","first-page":"51094","article-title":"Gold-YOLO: Efficient object detector via gather-and-distribute mechanism","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"36","author":"Wang"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01599"},{"key":"ref26","article-title":"Mamba YOLO: SSMs-based YOLO for object detection","author":"Wang","year":"2024","journal-title":"arXiv:2406.05835"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP49359.2023.10222202"},{"key":"ref28","first-page":"1","article-title":"YOLOv5-based vehicle detection method for high-resolution UAV images","volume":"2022","author":"Chen","year":"2022","journal-title":"Mobile Inf. Syst."},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.32604\/cmc.2023.034876"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3390\/s22103783"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3137638"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3390\/math12010124"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-023-05872-2"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121209"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3419587"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00972"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00349"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01166"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58580-8_33"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10380310\/10663352.pdf?arnumber=10663352","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,2]],"date-time":"2024-10-02T18:33:47Z","timestamp":1727894027000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10663352\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3453298","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}