{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T14:58:21Z","timestamp":1777042701275,"version":"3.51.4"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100013091","name":"Science and Technology Major Project of Guangxi","doi-asserted-by":"publisher","award":["AA22068001"],"award-info":[{"award-number":["AA22068001"]}],"id":[{"id":"10.13039\/501100013091","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangxi Natural Science Foundation Program","award":["2025GXNSFAA069224"],"award-info":[{"award-number":["2025GXNSFAA069224"]}]},{"name":"Innovation Project of GUET Graduate Education","award":["2025YCXS023"],"award-info":[{"award-number":["2025YCXS023"]}]},{"name":"Innovation Project of GUET Graduate Education","award":["2024YCXS007"],"award-info":[{"award-number":["2024YCXS007"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tim.2025.3552465","type":"journal-article","created":{"date-parts":[[2025,3,18]],"date-time":"2025-03-18T17:33:02Z","timestamp":1742319182000},"page":"1-13","source":"Crossref","is-referenced-by-count":5,"title":["FOS-YOLO: Multiscale Context Aggregation With Attention-Driven Modulation for Efficient Target Detection in Complex Environments"],"prefix":"10.1109","volume":"74","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0139-0461","authenticated-orcid":false,"given":"Shuilong","family":"He","sequence":"first","affiliation":[{"name":"School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-3058-7605","authenticated-orcid":false,"given":"Wei","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3518-3284","authenticated-orcid":false,"given":"Tao","family":"Tang","sequence":"additional","affiliation":[{"name":"School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-0713-2102","authenticated-orcid":false,"given":"Shanchao","family":"Wang","sequence":"additional","affiliation":[{"name":"Dongfeng Liuzhou Motor Company Ltd., Liuzhou, Guangxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-8104-0082","authenticated-orcid":false,"given":"Chao","family":"Li","sequence":"additional","affiliation":[{"name":"Dongfeng Liuzhou Motor Company Ltd., Liuzhou, Guangxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8159-2420","authenticated-orcid":false,"given":"Enyong","family":"Xu","sequence":"additional","affiliation":[{"name":"Dongfeng Liuzhou Motor Company Ltd., Liuzhou, Guangxi, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2024.109619"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2022.111655"},{"key":"ref3","article-title":"Applications of computer vision in autonomous vehicles: Methods, challenges and future directions","author":"Dong","year":"2023","journal-title":"arXiv:2311.09093"},{"key":"ref4","article-title":"Research on the application of computer vision based on deep learning in autonomous driving technology","author":"Zhang","year":"2024","journal-title":"arXiv:2406.00490"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVIDL51233.2020.00008"},{"key":"ref6","article-title":"Object detection system using Haar-classifier","author":"Ismail","year":"2009"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MASS.2019.00013"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2019.107081"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2023.108962"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2971026"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref16","article-title":"Towards robust object detection: Bayesian RetinaNet for homoscedastic aleatoric uncertainty modeling","author":"Khanzhina","year":"2021","journal-title":"arXiv:2108.00784"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01079"},{"key":"ref18","first-page":"10096","article-title":"EfficientNetV2: Smaller models and faster training","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Tan"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"ref20","article-title":"Deformable DETR: Deformable transformers for end-to-end object detection","author":"Zhu","year":"2020","journal-title":"arXiv:2010.04159"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/s23125539"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/s23115321"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2024.115380"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8594049"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2020.103955"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3390\/electronics13071190"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/VTC2022-Spring54318.2022.9860676"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/s22103783"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3390\/rs15184617"},{"key":"ref30","article-title":"YOLOv10: Real-time end-to-end object detection","author":"Wang","year":"2024","journal-title":"arXiv:2405.14458"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TMECH.2023.3292969"},{"key":"ref32","article-title":"YOLOv11: An overview of the key architectural enhancements","author":"Khanam","year":"2024","journal-title":"arXiv:2410.17725"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref35","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref38","first-page":"1","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"28","author":"Ren"},{"key":"ref39","article-title":"YOLOv3: An incremental improvement","author":"Redmon","year":"2018","journal-title":"arXiv:1804.02767"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1807.06521"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00378"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2010.11929"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref46","first-page":"4203","article-title":"Focal modulation networks","volume-title":"Proc. Conf. Neural Inf. Process. Syst. (NeurIPS)","volume":"35","author":"Yang"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/19\/10764799\/10931038.pdf?arnumber=10931038","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,2]],"date-time":"2025-04-02T05:47:08Z","timestamp":1743572828000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10931038\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/tim.2025.3552465","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}