{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,2]],"date-time":"2026-03-02T22:03:17Z","timestamp":1772488997805,"version":"3.50.1"},"reference-count":53,"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\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62376139"],"award-info":[{"award-number":["62376139"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61773184"],"award-info":[{"award-number":["61773184"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key Research and Development Program of China","award":["2018YFB2100500"],"award-info":[{"award-number":["2018YFB2100500"]}]},{"name":"Taishan Scholars Program of Shandong Province","award":["tsqn202103118"],"award-info":[{"award-number":["tsqn202103118"]}]},{"DOI":"10.13039\/501100007129","name":"Natural Science Foundation of Shandong Province","doi-asserted-by":"publisher","award":["ZR2023MF014"],"award-info":[{"award-number":["ZR2023MF014"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013352","name":"Yantai Science and Technology Development Plan","doi-asserted-by":"publisher","award":["2022XDRH014"],"award-info":[{"award-number":["2022XDRH014"]}],"id":[{"id":"10.13039\/501100013352","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tim.2025.3575998","type":"journal-article","created":{"date-parts":[[2025,6,2]],"date-time":"2025-06-02T14:00:08Z","timestamp":1748872808000},"page":"1-13","source":"Crossref","is-referenced-by-count":0,"title":["Robust Pedestrian Crossing Intention Prediction via Uncertainty-Guided Transformer Ensemble Network for Autonomous Driving"],"prefix":"10.1109","volume":"74","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9940-1637","authenticated-orcid":false,"given":"Xiaobo","family":"Chen","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-6196-7635","authenticated-orcid":false,"given":"Shilin","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-8609-9545","authenticated-orcid":false,"given":"Wei","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-4408-5114","authenticated-orcid":false,"given":"Dapeng","family":"Cheng","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-2295-6723","authenticated-orcid":false,"given":"Lei","family":"Yang","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2024.3472774"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3170551"},{"key":"ref3","article-title":"Behavioral intention prediction in driving scenes: A survey","author":"Fang","year":"2022","journal-title":"arXiv:2211.00385"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2024.3386689"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3139691"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10610614"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2022.3162719"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2023.3345296"},{"key":"ref9","first-page":"327","article-title":"Pedestrian cross forecasting with hybrid feature fusion","volume-title":"Proc. Int. Conf. Learn. Represent. Workshop Scene Represent. Auto. Driving","volume":"222","author":"Dong"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW59228.2023.00374"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IV51971.2022.9827084"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.120077"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3177367"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3173537"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/SITIS57111.2022.00073"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-25056-9_42"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.33"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ISCER55570.2022.00042"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/s21175694"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3309309"},{"key":"ref21","article-title":"IntFormer: Predicting pedestrian intention with the aid of the transformer architecture","author":"Lorenzo","year":"2021","journal-title":"arXiv:2105.08647"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/tiv.2024.3437779"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/IV47402.2020.9304591"},{"key":"ref25","article-title":"Pedestrian action anticipation using contextual feature fusion in stacked RNNs","author":"Rasouli","year":"2020","journal-title":"arXiv:2005.06582"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/FG52635.2021.9666989"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00130"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2019.8917118"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/tiv.2024.3426970"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3443141"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72970-6_13"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2024.111334"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/tiv.2024.3506727"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/IROS47612.2022.9981690"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/tase.2025.3540929"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3192056"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2021.3134194"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/tiv.2024.3399327"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10611060"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.5555\/3045118.3045167"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1968.tb00722.x"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/IV51971.2022.9827426"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1186\/s13634-023-01002-5"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00781"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00636"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/IEEECONF51394.2020.9443552"},{"key":"ref47","article-title":"PIP-net: Pedestrian intention prediction in the wild","author":"Azarmi","year":"2024","journal-title":"arXiv:2402.12810"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2024.3398252"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.102217"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/3649447"},{"key":"ref51","article-title":"PSI: A pedestrian behavior dataset for socially intelligent autonomous car","author":"Chen","year":"2021","journal-title":"arXiv:2112.02604"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i3.25463"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00345"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/19\/10764799\/11021364.pdf?arnumber=11021364","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,2]],"date-time":"2026-03-02T20:55:29Z","timestamp":1772484929000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11021364\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":53,"URL":"https:\/\/doi.org\/10.1109\/tim.2025.3575998","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}