{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,22]],"date-time":"2025-03-22T12:23:47Z","timestamp":1742646227577},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"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":[[2023,10,1]]},"DOI":"10.1109\/iros55552.2023.10342507","type":"proceedings-article","created":{"date-parts":[[2023,12,13]],"date-time":"2023-12-13T19:17:55Z","timestamp":1702495075000},"page":"49-54","source":"Crossref","is-referenced-by-count":5,"title":["Vehicle Motion Forecasting Using Prior Information and Semantic-Assisted Occupancy Grid Maps"],"prefix":"10.1109","author":[{"given":"Rabbia","family":"Asghar","sequence":"first","affiliation":[{"name":"Univ. Grenoble Alpes, Inria,Grenoble,France,38000"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manuel","family":"Diaz-Zapata","sequence":"additional","affiliation":[{"name":"Univ. Grenoble Alpes, Inria,Grenoble,France,38000"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lukas","family":"Rummelhard","sequence":"additional","affiliation":[{"name":"Univ. Grenoble Alpes, Inria,Grenoble,France,38000"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anne","family":"Spalanzani","sequence":"additional","affiliation":[{"name":"Univ. Grenoble Alpes, Inria,Grenoble,France,38000"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christian","family":"Laugier","sequence":"additional","affiliation":[{"name":"Univ. Grenoble Alpes, Inria,Grenoble,France,38000"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"volume-title":"National highway traffic safety administration [nhtsa]. 2017","key":"ref1"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICARCV57592.2022.10004373"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/iros47612.2022.9981323"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICARCV57592.2022.10004321"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr42600.2020.01164"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2018.8500567"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1177\/0278364917710543"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01085"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793582"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/iros51168.2021.9636386"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IV51971.2022.9827412"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3151613"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01154"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01157"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01140"},{"key":"ref16","article-title":"FIERY: Future instance segmentation in birds-eye view from surround monocular cameras","volume-title":"ICCV","author":"Hu","year":"2021"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01417"},{"key":"ref18","article-title":"Fishing net: Future inference of semantic heatmaps in grids","author":"Hendy","year":"2020","journal-title":"arXiv preprint"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01298"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8593434"},{"key":"ref21","article-title":"Convolutional lstm network: A machine learning approach for precipitation nowcasting","author":"Shi","year":"2015","journal-title":"NeurIPS"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58517-4_45"},{"key":"ref23","article-title":"Delving deeper into convolutional networks for learning video representations","author":"Ballas","year":"2015","journal-title":"arXiv preprint"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00307"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2022.3165153"}],"event":{"name":"2023 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)","start":{"date-parts":[[2023,10,1]]},"location":"Detroit, MI, USA","end":{"date-parts":[[2023,10,5]]}},"container-title":["2023 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10341341\/10341342\/10342507.pdf?arnumber=10342507","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,28]],"date-time":"2024-02-28T20:17:39Z","timestamp":1709151459000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10342507\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,1]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/iros55552.2023.10342507","relation":{},"subject":[],"published":{"date-parts":[[2023,10,1]]}}}