{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T13:24:16Z","timestamp":1780493056909,"version":"3.54.1"},"reference-count":40,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,10,23]],"date-time":"2022-10-23T00:00:00Z","timestamp":1666483200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,23]],"date-time":"2022-10-23T00:00:00Z","timestamp":1666483200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,10,23]]},"DOI":"10.1109\/iros47612.2022.9981923","type":"proceedings-article","created":{"date-parts":[[2022,12,26]],"date-time":"2022-12-26T19:38:15Z","timestamp":1672083495000},"page":"11374-11381","source":"Crossref","is-referenced-by-count":41,"title":["Trajectory Prediction with Graph-based Dual-scale Context Fusion"],"prefix":"10.1109","author":[{"given":"Lu","family":"Zhang","sequence":"first","affiliation":[{"name":"Hong Kong University of Science and Technology,Department of Electronic and Computer Engineering,Hong Kong,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peiliang","family":"Li","sequence":"additional","affiliation":[{"name":"DJI Technology Company, Ltd.,Shenzhen,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing","family":"Chen","sequence":"additional","affiliation":[{"name":"DJI Technology Company, Ltd.,Shenzhen,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaojie","family":"Shen","sequence":"additional","affiliation":[{"name":"Hong Kong University of Science and Technology,Department of Electronic and Computer Engineering,Hong Kong,China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1186\/s40648-014-0001-z"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3012034"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01154"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_32"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_45"},{"key":"ref6","article-title":"TNT: Target-driven trajectory prediction","author":"Zhao","year":"2020","journal-title":"arXiv preprint"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC48978.2021.9564944"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IROS51168.2021.9636035"},{"key":"ref9","article-title":"GOHOME: Graph-oriented heatmap output forfuture motion estimation","author":"Gilles","year":"2021","journal-title":"arXiv preprint"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793868"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.110"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00196"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460504"},{"key":"ref14","article-title":"MultiPath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction","author":"Chai","year":"2019","journal-title":"arXiv preprint"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01240"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01408"},{"key":"ref17","article-title":"Map-adaptive goal-based trajectory prediction","author":"Zhang","year":"2020","journal-title":"arXiv preprint"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341034"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2021.3104254"},{"key":"ref20","article-title":"Learning to predict vehicle trajectories with model-based planning","author":"Song","year":"2021","journal-title":"arXiv preprint"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01502"},{"key":"ref22","article-title":"Graph attention networks","author":"Veli\u010dkovi\u0107","year":"2017","journal-title":"arXiv preprint"},{"key":"ref23","first-page":"652","article-title":"PointNet: Deep learning on point sets for 3d classification and segmentation","volume-title":"Proc. of the CVPR","author":"Qi","year":"2017"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref25","article-title":"Semantic image segmentation with deep convolutional nets and fully connected CRFs","author":"Chen","year":"2014","journal-title":"arXiv preprint"},{"key":"ref26","article-title":"Multi-scale context aggregation by dilated convolutions","author":"Yu","year":"2015","journal-title":"arXiv preprint"},{"key":"ref27","article-title":"WaveNet: A generative model for raw audio","author":"Oord","year":"2016","journal-title":"arXiv preprint"},{"key":"ref28","article-title":"Layer normalization","author":"Ba","year":"2016","journal-title":"arXiv preprint"},{"key":"ref29","article-title":"Rectified linear units improve restricted Boltzmann machines","volume-title":"Proc. of the ICML","author":"Nair","year":"2010"},{"key":"ref30","article-title":"Semi-supervised classification with graph convolutional networks","author":"Kipf","year":"2016","journal-title":"arXiv preprint"},{"key":"ref31","first-page":"1025","article-title":"Inductive representation learning on large graphs","volume-title":"Proc. of the NeurIPS","author":"Hamilton","year":"2017"},{"issue":"1","key":"ref32","first-page":"3","article-title":"Rectifier nonlinearities improve neural network acoustic models","volume-title":"Proc. of the ICML","volume":"30","author":"Maas"},{"key":"ref33","first-page":"5998","article-title":"Attention is all you need","volume-title":"Proc. of the NeurIPS","author":"Vaswani","year":"2017"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00895"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00749"},{"key":"ref36","first-page":"734","article-title":"CornerNet: Detecting objects as paired key-points","volume-title":"Proc. of the ECCV","author":"Law","year":"2018"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.2.270"},{"key":"ref39","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv preprint"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00957"}],"event":{"name":"2022 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)","location":"Kyoto, Japan","start":{"date-parts":[[2022,10,23]]},"end":{"date-parts":[[2022,10,27]]}},"container-title":["2022 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9981026\/9981028\/09981923.pdf?arnumber=9981923","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T06:00:19Z","timestamp":1706767219000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9981923\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,23]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/iros47612.2022.9981923","relation":{},"subject":[],"published":{"date-parts":[[2022,10,23]]}}}