{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,12]],"date-time":"2026-08-12T00:20:44Z","timestamp":1786494044226,"version":"build-2736575974"},"reference-count":51,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","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\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Veh."],"published-print":{"date-parts":[[2024,1]]},"DOI":"10.1109\/tiv.2023.3285804","type":"journal-article","created":{"date-parts":[[2023,6,13]],"date-time":"2023-06-13T17:22:18Z","timestamp":1686676938000},"page":"2836-2849","source":"Crossref","is-referenced-by-count":39,"title":["Spatial-Temporal-Spectral LSTM: A Transferable Model for Pedestrian Trajectory Prediction"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6152-9387","authenticated-orcid":false,"given":"Chi","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, University of Gothenburg, Gothenburg, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0931-7584","authenticated-orcid":false,"given":"Zhongjun","family":"Ni","sequence":"additional","affiliation":[{"name":"Department of Science and Technology, Link&#x00F6;ping University, Campus Norrk&#x00F6;ping, Norrk&#x00F6;ping, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4828-1150","authenticated-orcid":false,"given":"Christian","family":"Berger","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, University of Gothenburg, Gothenburg, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Global status report on road safety 2018: Summary","year":"2018"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.33"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00636"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/IV55152.2023.10186616"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.110"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00240"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01443"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2023.3281393"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00135"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2018.09.002"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00868"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IV48863.2021.9575958"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCAR55106.2022.9782673"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9412190"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58610-2_30"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.4018\/978-1-60566-766-9.ch011"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3115018"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00144"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00359"},{"key":"ref21","first-page":"137","article-title":"Social-biGAT: Multimodal trajectory forecasting using bicycle-GAN and graph attention networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Kosaraju","year":"2019"},{"key":"ref22","article-title":"An empirical evaluation of generic convolutional and recurrent networks for sequence modeling","author":"Bai","year":"2018"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-11015-4_16"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i2.16174"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00967"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/IV48863.2021.9575498"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.32657\/10356\/151544"},{"key":"ref28","article-title":"Scene-LSTM: A model for human trajectory prediction","author":"Manh","year":"2018"},{"key":"ref29","article-title":"Trajectory forecasts in unknown environments conditioned on grid-based plans","author":"Deo","year":"2020"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.2981118"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2018.2873901"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460504"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33016120"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00314"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3069362"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00635"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_45"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20047-2_39"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1049\/cit2.12169"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2014.131"},{"key":"ref41","first-page":"647","article-title":"Decaf: A deep convolutional activation feature for generic visual recognition","volume-title":"Proc. 31st Int. Conf. Mach. Learn.","author":"Donahue","year":"2014"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1031"},{"key":"ref44","first-page":"2790","article-title":"Parameter-efficient transfer learning for NLP","volume-title":"Proc. 36th Int. Conf. Mach. Learn.","author":"Houlsby","year":"2019"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8593783"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2018.8569812"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC48978.2021.9564733"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00641"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00252"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459260"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2007.01089.x"}],"container-title":["IEEE Transactions on Intelligent Vehicles"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7274857\/10443740\/10149368.pdf?arnumber=10149368","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T17:42:20Z","timestamp":1751391740000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10149368\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1]]},"references-count":51,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tiv.2023.3285804","relation":{},"ISSN":["2379-8904","2379-8858"],"issn-type":[{"value":"2379-8904","type":"electronic"},{"value":"2379-8858","type":"print"}],"subject":[],"published":{"date-parts":[[2024,1]]}}}