{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,18]],"date-time":"2026-04-18T01:01:54Z","timestamp":1776474114974,"version":"3.51.2"},"publisher-location":"New York, NY, USA","reference-count":25,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,5,24]],"date-time":"2024-05-24T00:00:00Z","timestamp":1716508800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,5,24]]},"DOI":"10.1145\/3670105.3670153","type":"proceedings-article","created":{"date-parts":[[2024,7,29]],"date-time":"2024-07-29T18:29:36Z","timestamp":1722277776000},"page":"287-291","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["An Optimized RANSAC for The Feature Matching of 3D LiDAR Point Cloud"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9939-4729","authenticated-orcid":false,"given":"Yunge","family":"Cui","sequence":"first","affiliation":[{"name":"Key Laboratory of Opto-Electronic Information Processing, Shenyang Institute of Automation, Chinese Academy of Sciences, China and Institutes for Robotics and Intelligent Manufacturing, University of Chinese Academy of Sciences, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1734-3638","authenticated-orcid":false,"given":"Yingming","family":"Hao","sequence":"additional","affiliation":[{"name":"Key Laboratory of Opto-Electronic Information Processing, Shenyang Institute of Automation, Chinese Academy of Sciences, China and Institutes for Robotics and Intelligent Manufacturing, University of Chinese Academy of Sciences, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-3725-4450","authenticated-orcid":false,"given":"Qingxiao","family":"Wu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Opto-Electronic Information Processing, Shenyang Institute of Automation, Chinese Academy of Sciences, China and Institutes for Robotics and Intelligent Manufacturing, University of Chinese Academy of Sciences, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1181-618X","authenticated-orcid":false,"given":"Qun","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Opto-Electronic Information Processing, Shenyang Institute of Automation, Chinese Academy of Sciences, China and Institutes for Robotics and Intelligent Manufacturing, University of Chinese Academy of Sciences, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0066-7879","authenticated-orcid":false,"given":"Jianyu","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Opto-Electronic Information Processing, Shenyang Institute of Automation, Chinese Academy of Sciences, China and Institutes for Robotics and Intelligent Manufacturing, University of Chinese Academy of Sciences, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-1680-7701","authenticated-orcid":false,"given":"Pengfei","family":"Zhao","sequence":"additional","affiliation":[{"name":"Key Laboratory of Opto-Electronic Information Processing, Shenyang Institute of Automation, Chinese Academy of Sciences, China and Institutes for Robotics and Intelligent Manufacturing, University of Chinese Academy of Sciences, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4657-7916","authenticated-orcid":false,"given":"Feng","family":"Zhu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Opto-Electronic Information Processing, Shenyang Institute of Automation, Chinese Academy of Sciences, China and Institutes for Robotics and Intelligent Manufacturing, University of Chinese Academy of Sciences, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,7,29]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1987.4767965"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01529"},{"key":"e_1_3_2_1_3_1","volume-title":"Graph-cut RANSAC. In Proceedings of the IEEE conference on computer vision and pattern recognition. 6733\u20136741","author":"Barath Daniel","year":"2018","unstructured":"Daniel Barath and Ji\u0159\u00ed Matas. 2018. Graph-cut RANSAC. In Proceedings of the IEEE conference on computer vision and pattern recognition. 6733\u20136741."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01044"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00138"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2021.3075644"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19824-3_21"},{"key":"e_1_3_2_1_8_1","volume-title":"Vol.\u00a01","author":"Chum Ondrej","unstructured":"Ondrej Chum and Jiri Matas. 2005. Matching with PROSAC-progressive sample consensus. In 2005 IEEE computer society conference on computer vision and pattern recognition (CVPR\u201905), Vol.\u00a01. IEEE, 220\u2013226."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-45243-0_31"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2024.3354550"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/358669.358692"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.307"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-011-0474-7"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Karel Lebeda Jir\u0131 Matas and Ondrej Chum. 2012. Fixing the locally optimized ransac\u2013full experimental evaluation. In British machine vision conference Vol.\u00a02. Citeseer.","DOI":"10.5244\/C.26.95"},{"key":"e_1_3_2_1_15_1","volume-title":"Robust wide-baseline stereo from maximally stable extremal regions. Image and vision computing 22, 10","author":"Matas Jiri","year":"2004","unstructured":"Jiri Matas, Ondrej Chum, Martin Urban, and Tom\u00e1s Pajdla. 2004. Robust wide-baseline stereo from maximally stable extremal regions. Image and vision computing 22, 10 (2004), 761\u2013767."},{"key":"e_1_3_2_1_16_1","volume-title":"Jose Maria\u00a0Martinez Montiel, and Juan\u00a0D Tardos","author":"Mur-Artal Raul","year":"2015","unstructured":"Raul Mur-Artal, Jose Maria\u00a0Martinez Montiel, and Juan\u00a0D Tardos. 2015. ORB-SLAM: a versatile and accurate monocular SLAM system. IEEE transactions on robotics 31, 5 (2015), 1147\u20131163."},{"key":"e_1_3_2_1_17_1","volume-title":"Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras","author":"Mur-Artal Raul","year":"2017","unstructured":"Raul Mur-Artal and Juan\u00a0D Tard\u00f3s. 2017. Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras. IEEE transactions on robotics 33, 5 (2017), 1255\u20131262."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2346025"},{"key":"e_1_3_2_1_19_1","volume-title":"USAC: A universal framework for random sample consensus","author":"Raguram Rahul","year":"2012","unstructured":"Rahul Raguram, Ondrej Chum, Marc Pollefeys, Jiri Matas, and Jan-Michael Frahm. 2012. USAC: A universal framework for random sample consensus. IEEE transactions on pattern analysis and machine intelligence 35, 8 (2012), 2022\u20132038."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00499"},{"key":"e_1_3_2_1_21_1","volume-title":"MLESAC: A new robust estimator with application to estimating image geometry. Computer vision and image understanding 78, 1","author":"Torr HS","year":"2000","unstructured":"Philip\u00a0HS Torr and Andrew Zisserman. 2000. MLESAC: A new robust estimator with application to estimating image geometry. Computer vision and image understanding 78, 1 (2000), 138\u2013156."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01618"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00282"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00594"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00464"}],"event":{"name":"CNIOT 2024: 2024 5th International Conference on Computing, Networks and Internet of Things","location":"Tokyo Japan","acronym":"CNIOT 2024"},"container-title":["Proceedings of the 2024 5th International Conference on Computing, Networks and Internet of Things"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3670105.3670153","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3670105.3670153","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T15:52:30Z","timestamp":1755877950000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3670105.3670153"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,24]]},"references-count":25,"alternative-id":["10.1145\/3670105.3670153","10.1145\/3670105"],"URL":"https:\/\/doi.org\/10.1145\/3670105.3670153","relation":{},"subject":[],"published":{"date-parts":[[2024,5,24]]},"assertion":[{"value":"2024-07-29","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}