{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T19:45:08Z","timestamp":1785872708533,"version":"3.56.0"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"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":"crossref","award":["42301499"],"award-info":[{"award-number":["42301499"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Science and Technology Research and Development Program of China State Railway Group","award":["Q2024G032"],"award-info":[{"award-number":["Q2024G032"]}]},{"name":"Postdoctoral Research Project for China Railway Siyuan Survey and Design Group","award":["KY2023127S"],"award-info":[{"award-number":["KY2023127S"]}]},{"name":"China National Postdoctoral Program for Innovative Talents","award":["Bx20220241"],"award-info":[{"award-number":["Bx20220241"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1109\/tits.2026.3684547","type":"journal-article","created":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T19:49:32Z","timestamp":1777405772000},"page":"9261-9276","source":"Crossref","is-referenced-by-count":0,"title":["Travel Like a Train: Detection and Reconstruction of Rail Tracks From Aerial Images"],"prefix":"10.1109","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8199-4243","authenticated-orcid":false,"given":"Dong","family":"Wei","sequence":"first","affiliation":[{"name":"Wuhan University","place":["Wuhan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaotong","family":"Li","sequence":"additional","affiliation":[{"name":"Wuhan University","place":["Wuhan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haoyu","family":"Guo","sequence":"additional","affiliation":[{"name":"Wuhan University","place":["Wuhan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9845-4251","authenticated-orcid":false,"given":"Yongjun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Wuhan University","place":["Wuhan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guangshuai","family":"Wang","sequence":"additional","affiliation":[{"name":"Tianjin Key Laboratory of Rail Transit Navigation Positioning and Spatio-Temporal Big Data Technology","place":["Tianjin, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bin","family":"Zhang","sequence":"additional","affiliation":[{"name":"China Railway Siyuan Survey and Design Group Company Ltd.","place":["Wuhan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiwei","family":"Deng","sequence":"additional","affiliation":[{"name":"Tianjin Key Laboratory of Rail Transit Navigation Positioning and Spatio-Temporal Big Data Technology","place":["Tianjin, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-8349-9904","authenticated-orcid":false,"given":"Ziqian","family":"Huang","sequence":"additional","affiliation":[{"name":"Wuhan University","place":["Wuhan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2014.2312378"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/rs13122332"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3119900"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3281352"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2024.3469546"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"678","DOI":"10.1016\/j.isprsjprs.2024.10.001","article-title":"Clustering, triangulation, and evaluation of 3D lines in multiple images","volume":"218","author":"Wei","year":"2024","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1115\/1.3662552"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3117983"},{"issue":"1","key":"ref9","doi-asserted-by":"crossref","first-page":"639","DOI":"10.1016\/j.measurement.2012.08.023","article-title":"Railway track geometry determination using adaptive Kalman filtering model","volume":"46","author":"Akp\u0131nar","year":"2013","journal-title":"Measurement"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.5194\/isprsannals-II-3-W5-159-2015"},{"key":"ref11","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2021.107834","article-title":"AG3line: Active grouping and geometry-gradient combined validation for fast line segment extraction","volume":"113","author":"Zhang","year":"2021","journal-title":"Pattern Recognit."},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2019.102911"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2023.105068"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2011.09.012"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.16"},{"issue":"5","key":"ref16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3326362","article-title":"Dynamic graph CNN for learning on point clouds","volume":"38","author":"Wang","year":"2019","journal-title":"ACM Trans. Graph."},{"key":"ref17","first-page":"6410","article-title":"KPConv: Flexible and deformable convolution for point clouds","volume-title":"Proc. IEEE\/CVF Int. Conf. Comput. Vis. (ICCV)","author":"Thomas"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"281","DOI":"10.5194\/isprs-annals-V-2-2020-281-2020","article-title":"Semantic segmentation of point clouds with pointnet and kpconv architectures applied to railway tunnels","volume":"2","author":"Soil\u00e1n","year":"2020","journal-title":"ISPRS Ann. Photogramm., Remote Sens. Spatial Inf. Sci."},{"key":"ref19","doi-asserted-by":"crossref","first-page":"223","DOI":"10.5194\/isprs-archives-XLIII-B3-2021-223-2021","article-title":"A comparative study of point clouds semantic segmentation using three different neural networks on the railway station dataset","volume":"2021","author":"Lumban-Gaol","year":"2021","journal-title":"Int. Arch. Photogramm., Remote Sens. Spatial Inf. Sci."},{"key":"ref20","article-title":"Point cloud semantic segmentation of complex railway environments using deep learning","volume":"141","author":"Grandio","year":"2022","journal-title":"Autom. Construction"},{"key":"ref21","doi-asserted-by":"crossref","DOI":"10.1016\/j.autcon.2023.104854","article-title":"Multimodal deep learning for point cloud panoptic segmentation of railway environments","volume":"150","author":"Grandio","year":"2023","journal-title":"Autom. Construct."},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3319950"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3297728"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/EUVIP53989.2022.9922901"},{"issue":"4","key":"ref25","doi-asserted-by":"crossref","first-page":"71","DOI":"10.3390\/infrastructures9040071","article-title":"Multi-context point cloud dataset and machine learning for railway semantic segmentation","volume":"9","author":"Kharroubi","year":"2024","journal-title":"Infrastructures"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3220295"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00097"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3295807"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3290991"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00629"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00730"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00768"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3390\/electronics12163500"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2024.3408162"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3133327"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539781"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01535"},{"key":"ref38","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/j.isprsjprs.2012.09.003","article-title":"Matching of straight line segments from aerial stereo images of urban areas","volume":"74","author":"Ok","year":"2012","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref39","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/j.isprsjprs.2017.01.006","article-title":"Line segment matching and reconstruction via exploiting coplanar cues","volume":"125","author":"Li","year":"2017","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00188"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01662"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/361237.361242"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1986.4767851"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.5555\/3001460.3001507"},{"key":"ref46","volume-title":"Ultralytics: The Best YOLO Implementation for Object Detection and More","year":"2023"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00371"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6979\/11640892\/11495037.pdf?arnumber=11495037","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T19:04:21Z","timestamp":1785870261000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11495037\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":47,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tits.2026.3684547","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8]]}}}