{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:38:26Z","timestamp":1740101906264,"version":"3.37.3"},"reference-count":43,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T00:00:00Z","timestamp":1685318400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T00:00:00Z","timestamp":1685318400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100011021","name":"NCCR Robotics, a National Centre of Competence in Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100011021","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001711","name":"Swiss National Science Foundation","doi-asserted-by":"publisher","award":["51NF40_185543"],"award-info":[{"award-number":["51NF40_185543"]}],"id":[{"id":"10.13039\/501100001711","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,5,29]]},"DOI":"10.1109\/icra48891.2023.10160412","type":"proceedings-article","created":{"date-parts":[[2023,7,4]],"date-time":"2023-07-04T17:20:56Z","timestamp":1688491256000},"page":"8163-8170","source":"Crossref","is-referenced-by-count":0,"title":["SphNet: A Spherical Network for Semantic Pointcloud Segmentation"],"prefix":"10.1109","author":[{"given":"Lukas","family":"Bernreiter","sequence":"first","affiliation":[{"name":"ETH Zurich,Autonomous Systems Lab,Zurich,Switzerland,8092"}]},{"given":"Lionel","family":"Ott","sequence":"additional","affiliation":[{"name":"ETH Zurich,Autonomous Systems Lab,Zurich,Switzerland,8092"}]},{"given":"Roland","family":"Siegwart","sequence":"additional","affiliation":[{"name":"ETH Zurich,Autonomous Systems Lab,Zurich,Switzerland,8092"}]},{"given":"Cesar","family":"Cadena","sequence":"additional","affiliation":[{"name":"ETH Zurich,Autonomous Systems Lab,Zurich,Switzerland,8092"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00463"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01164"},{"key":"ref12","first-page":"424","article-title":"3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation","volume":"9901","author":"cicek","year":"2016","journal-title":"Medical Image Computing and Computer-Assisted Intervention Ser Lecture Notes in Computer Science"},{"key":"ref34","first-page":"2449","article-title":"Spectral representations for convolutional neural networks","volume":"2015","author":"rippel","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00962"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/IV47402.2020.9304596"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00268"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00939"},{"key":"ref31","article-title":"Convolutional Networks for Spherical Signals","author":"cohen","year":"0","journal-title":"ICML Workshop on Principled Approaches to Deep Learning"},{"key":"ref30","first-page":"202","author":"driscoll","year":"1994","journal-title":"Computing fourier transforms and convolutions on the 2-sphere"},{"key":"ref11","first-page":"828","article-title":"PointCNN: Convolution On X-Transformed Points","author":"li","year":"0","journal-title":"Proceedings of the 32Nd International Conference on Neural Information Processing Systems"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.3007440"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s00041-008-9013-5"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.16"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3076844"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793495"},{"journal-title":"A2d2 Audi autonomous driving dataset","year":"2020","author":"geyer","key":"ref39"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01054"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00252"},{"journal-title":"PCSCNet Fast 3D Semantic Segmentation of LiDAR Point Cloud for Autonomous Car using Point Convolution and Sparse Convolution Network","year":"2022","author":"park","key":"ref19"},{"journal-title":"CPGNet Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic Segmentation","year":"2022","author":"li","key":"ref18"},{"journal-title":"Spin-Weighted Spherical CNNs","year":"2020","author":"esteves","key":"ref24"},{"key":"ref23","first-page":"1","article-title":"Spherical CNNs","author":"cohen","year":"0","journal-title":"Proceedings of the International Conference on Learning Representations"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561078"},{"key":"ref25","article-title":"Rotation-invariant autoencoders for signals on spheres","author":"lohit","year":"2020","journal-title":"ArXiv"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9562041"},{"journal-title":"COLA COarse LAbel pre-training for 3D semantic segmentation of sparse LiDAR datasets","year":"2022","author":"sanchez","key":"ref42"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00464"},{"key":"ref22","first-page":"54","article-title":"Learning SO(3) Equivariant Representations with Spherical CNNs","volume":"11217","author":"esteves","year":"2018","journal-title":"Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9811998"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561255"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3050072"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20351-1_67"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s00041-003-0018-9"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-64559-5_16"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8967762"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8462926"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2017.00067"},{"key":"ref3","first-page":"5105","article-title":"PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space","author":"qi","year":"0","journal-title":"NIPS’17 Pro-ceedings of the 31st International Conference on Neural Information Processing Systems"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01572"},{"journal-title":"Cylinder3d An effective 3d framework for driving-scene lidar semantic segmentation","year":"2020","author":"zhou","key":"ref5"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3062547"}],"event":{"name":"2023 IEEE International Conference on Robotics and Automation (ICRA)","start":{"date-parts":[[2023,5,29]]},"location":"London, United Kingdom","end":{"date-parts":[[2023,6,2]]}},"container-title":["2023 IEEE International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10160211\/10160212\/10160412.pdf?arnumber=10160412","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,24]],"date-time":"2023-07-24T17:36:10Z","timestamp":1690220170000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10160412\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,29]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/icra48891.2023.10160412","relation":{},"subject":[],"published":{"date-parts":[[2023,5,29]]}}}