{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T17:58:26Z","timestamp":1730311106031,"version":"3.28.0"},"reference-count":28,"publisher":"SPIE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,3,5]]},"DOI":"10.1117\/12.2623141","type":"proceedings-article","created":{"date-parts":[[2022,3,4]],"date-time":"2022-03-04T19:56:54Z","timestamp":1646423814000},"page":"32","source":"Crossref","is-referenced-by-count":1,"title":["TransGSnet: transformer-embedded ground segmentation of point cloud for rough roads"],"prefix":"10.1117","author":[{"given":"Dong","family":"He","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jong-Hwan","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"189","reference":[{"key":"c1","article-title":"Deep learning for 3d point clouds: Asurvey","author":"Guo","year":"2020","journal-title":"IEEE transactions on pattern analysis and machine intelligence"},{"key":"c2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2899674"},{"key":"c3","first-page":"9297","article-title":"Semantickitti: A dataset for semantic scene understanding of lidar sequences","volume-title":"Proceedings of the IEEE\/CVF InternationalConference on Computer Vision","author":"Behley","year":"2019"},{"key":"c4","doi-asserted-by":"publisher","DOI":"10.1155\/2014\/928980"},{"key":"c5","first-page":"12697","article-title":"Pointpillars: Fast encoders for object detection from point clouds","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision andPattern Recognition","author":"Lang","year":"2019"},{"key":"c6","first-page":"652","article-title":"Pointnet: Deep learning on point sets for 3d classification and segmentation","volume-title":"Proceedings of the IEEE conference on computer vision and pattern recognition","author":"Qi","year":"2017"},{"key":"c7","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","volume-title":"MICCAI","author":"Ronneberger","year":"2015"},{"key":"c8","article-title":"Transunet:Transformers make strong encoders for medical image segmentation","author":"Chen","year":"2021","journal-title":"arXiv preprint: 2102.04306"},{"key":"c9","doi-asserted-by":"publisher","DOI":"10.18178\/joig.7.4.134-139"},{"key":"c10","doi-asserted-by":"publisher","DOI":"10.18178\/joig.9.1"},{"key":"c11","doi-asserted-by":"publisher","DOI":"10.18178\/joig.7.3.94-101"},{"key":"c12","first-page":"5998","article-title":"Attention is all you need","author":"Vaswani","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"c13","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020","journal-title":"arXiv preprint: 2010.11929"},{"key":"c14","first-page":"2818","article-title":"Rethinking the inception architecturefor computer vision","volume-title":"Proceedings of the IEEE conference on computer vision and pattern recognition","author":"Szegedy","year":"2016"},{"key":"c15","article-title":"Mobilenets: Efficient convolutionalneural networks for mobile vision applications","author":"Howard","year":"2017","journal-title":"arXiv preprint:1704.04861"},{"key":"c16","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics10020110"},{"key":"c17","first-page":"3286","article-title":"Attention augmented convolutional networks","volume-title":"Proceedings of the IEEE\/CVF international conference on computer vision","author":"Bello","year":"2019"},{"key":"c18","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2021.01.036"},{"key":"c19","doi-asserted-by":"publisher","DOI":"10.3390\/rs9050433"},{"issue":"9","key":"c20","first-page":"661","article-title":"Stanley: The robot that won the darpa grand challenge","volume":"23","author":"Thrun","year":"2006","journal-title":"Journal of fieldRobotics"},{"key":"c21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-07488-7"},{"key":"c22","doi-asserted-by":"crossref","first-page":"1105","DOI":"10.1109\/IVS.2017.7995861","article-title":"Ground estimation and point cloud segmentationusing spatiotemporal conditional random field","volume-title":"2017 IEEE Intelligent Vehicles Symposium (IV)","author":"Rummelhard","year":"2017"},{"key":"c23","article-title":"Pointnet++: Deep hierarchical feature learning on point setsin a metric space","author":"Qi","year":"2017","journal-title":"arXiv preprint arXiv:1706.02413"},{"key":"c24","first-page":"4490","article-title":"Voxelnet: End-to-en learning for point cloud based 3d object detection","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"Zhou","year":"2018"},{"key":"c25","article-title":"Open3d: A modern library for 3d data processing","author":"Zhou","year":"2018","journal-title":"arXiv preprint:1801.09847"},{"key":"c26","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016."},{"key":"c27","doi-asserted-by":"crossref","first-page":"560","DOI":"10.1109\/IVS.2010.5548059","article-title":"Fast segmentation of 3d point clouds forground vehicles","volume-title":"2010 IEEE Intelligent Vehicles Symposium","author":"Himmelsbach","year":"2010"},{"key":"c28","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020"}],"event":{"name":"Fourteenth International Conference on Machine Vision (ICMV 2021)","start":{"date-parts":[[2021,11,8]]},"location":"Rome, Italy","end":{"date-parts":[[2021,11,12]]}},"container-title":["Fourteenth International Conference on Machine Vision (ICMV 2021)"],"original-title":[],"deposited":{"date-parts":[[2022,6,21]],"date-time":"2022-06-21T18:31:47Z","timestamp":1655836307000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/12084\/2623141\/TransGSnet--transformer-embedded-ground-segmentation-of-point-cloud-for\/10.1117\/12.2623141.full"}},"subtitle":[],"editor":[{"given":"Wolfgang","family":"Osten","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]},{"given":"Dmitry","family":"Nikolaev","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]},{"given":"Jianhong","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2022,3,5]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1117\/12.2623141","relation":{},"subject":[],"published":{"date-parts":[[2022,3,5]]}}}