{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T09:00:39Z","timestamp":1730278839732,"version":"3.28.0"},"reference-count":31,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,2]],"date-time":"2024-06-02T00:00:00Z","timestamp":1717286400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,2]],"date-time":"2024-06-02T00:00:00Z","timestamp":1717286400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,6,2]]},"DOI":"10.1109\/iv55156.2024.10588677","type":"proceedings-article","created":{"date-parts":[[2024,7,15]],"date-time":"2024-07-15T17:19:28Z","timestamp":1721063968000},"page":"788-794","source":"Crossref","is-referenced-by-count":0,"title":["Vehicle trajectory prediction model for unseen domain based on the invariance principle"],"prefix":"10.1109","author":[{"given":"Yifan","family":"Lu","sequence":"first","affiliation":[{"name":"Southeast University,School of Instrument Science and Engineering,Nanjing,China,210096"}]},{"given":"Feng","family":"Yang","sequence":"additional","affiliation":[{"name":"Southeast University,School of Instrument Science and Engineering,Nanjing,China,210096"}]},{"given":"Xuanpeng","family":"Li","sequence":"additional","affiliation":[{"name":"Southeast University,School of Instrument Science and Engineering,Nanjing,China,210096"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1109\/TIV.2022.3167103"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1007\/978-3-030-58536-5_32"},{"volume-title":"Conference on Robot Learning","author":"Zhao","article-title":"Tnt: Target-driven trajectory prediction","key":"ref3"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1109\/CVPR46437.2021.00749"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1109\/TKDE.2022.3178128"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1007\/978-3-031-19842-7_3"},{"year":"2023","author":"Li","article-title":"Pre-training on Synthetic Driving Data for Trajectory Prediction","key":"ref7"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1109\/ICCV51070.2023.00797"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1109\/CVPR.2016.17"},{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1109\/CVPR.2018.00566"},{"year":"2023","author":"Zhang","article-title":"Free lunch for domain adversarial training: Environment label smoothing","key":"ref11"},{"key":"ref12","first-page":"3438","article-title":"Invariance principle meets information bottleneck for out-of-distribution generalization","volume":"34","author":"Ahuja","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1109\/TPAMI.2022.3184598"},{"year":"2020","author":"Somavarapu","article-title":"Frustratingly simple domain generalization via image stylization","key":"ref14"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1016\/j.patcog.2022.109115"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1609\/aaai.v32i1.11596"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1109\/CVPR42600.2020.01257"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1109\/CVPR.2016.17"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.1109\/CVPR.2018.00566"},{"year":"2019","author":"Arjovsky","article-title":"Invariant risk minimization","key":"ref20"},{"volume-title":"International Conference on Machine Learning","author":"Krueger","article-title":"Out-of-distribution generalization via risk extrapolation (rex)","key":"ref21"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1109\/CVPR52688.2022.01555"},{"key":"ref23","first-page":"3438","article-title":"Invariance principle meets information bottleneck for out-of-distribution generalization","volume":"34","author":"Ahuja","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"volume-title":"International Conference on Machine Learning","author":"Zhou","article-title":"Sparse invariant risk minimization","key":"ref24"},{"volume-title":"International Conference on Machine Learning","author":"Creager","article-title":"Environment inference for invariant learning","key":"ref25"},{"key":"ref26","first-page":"24529","article-title":"ZIN: When and How to Learn Invariance Without Environment Partition?","volume":"35","author":"Lin","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"doi-asserted-by":"publisher","key":"ref27","DOI":"10.1109\/CVPRW.2018.00196"},{"volume-title":"Conference on Robot Learning","author":"Bhattacharyya","article-title":"Ssl-lanes: Self-supervised learning for motion forecasting in autonomous driving","key":"ref28"},{"doi-asserted-by":"publisher","key":"ref29","DOI":"10.1109\/CVPR.2018.00566"},{"year":"2019","author":"Zhan","article-title":"Interaction dataset: An international, adversarial and cooperative motion dataset in interactive driving scenarios with semantic maps","key":"ref30"},{"key":"ref31","article-title":"Curves and surfaces for computer aided geometric design","author":"GERALD","year":"1990","journal-title":"A Practical Guide"}],"event":{"name":"2024 IEEE Intelligent Vehicle Symposium (IV)","start":{"date-parts":[[2024,6,2]]},"location":"Jeju Island, Korea, Republic of","end":{"date-parts":[[2024,6,5]]}},"container-title":["2024 IEEE Intelligent Vehicles Symposium (IV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10587320\/10588370\/10588677.pdf?arnumber=10588677","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,19]],"date-time":"2024-07-19T04:59:52Z","timestamp":1721365192000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10588677\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,2]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/iv55156.2024.10588677","relation":{},"subject":[],"published":{"date-parts":[[2024,6,2]]}}}