{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T16:01:30Z","timestamp":1778515290271,"version":"3.51.4"},"reference-count":67,"publisher":"Emerald","issue":"2","license":[{"start":{"date-parts":[[2024,1,2]],"date-time":"2024-01-02T00:00:00Z","timestamp":1704153600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IR"],"published-print":{"date-parts":[[2024,2,23]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>In recent decades, the field of robotic mapping has witnessed widespread research and development in light detection and ranging (LiDAR)-based simultaneous localization and mapping (SLAM) techniques. This paper aims to provide a significant reference for researchers and engineers in robotic mapping.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>This paper focused on the research state of LiDAR-based SLAM for robotic mapping as well as a literature survey from the perspective of various LiDAR types and configurations.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>This paper conducted a comprehensive literature review of the LiDAR-based SLAM system based on three distinct LiDAR forms and configurations. The authors concluded that multi-robot collaborative mapping and multi-source fusion SLAM systems based on 3D LiDAR with deep learning will be new trends in the future.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>To the best of the authors\u2019 knowledge, this is the first thorough survey of robotic mapping from the perspective of various LiDAR types and configurations. It can serve as a theoretical and practical guide for the advancement of academic and industrial robot mapping.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/ir-09-2023-0225","type":"journal-article","created":{"date-parts":[[2023,12,29]],"date-time":"2023-12-29T06:03:15Z","timestamp":1703829795000},"page":"196-205","source":"Crossref","is-referenced-by-count":53,"title":["LiDAR-based SLAM for robotic mapping: state of the art and new frontiers"],"prefix":"10.1108","volume":"51","author":[{"given":"Xiangdi","family":"Yue","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yihuan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiawei","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junxin","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuanyi","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Miaolei","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","published-online":{"date-parts":[[2024,1,2]]},"reference":[{"key":"key2024022210025275700_ref001","doi-asserted-by":"crossref","first-page":"113816","DOI":"10.1016\/j.eswa.2020.113816","article-title":"Self-driving cars: a survey","volume":"165","year":"2021","journal-title":"Expert Systems with Applications"},{"issue":"2","key":"key2024022210025275700_ref002","doi-asserted-by":"crossref","first-page":"4861","DOI":"10.1109\/LRA.2022.3152830","article-title":"Faster-LIO: lightweight tightly coupled lidar-inertial odometry using parallel sparse incremental voxels","volume":"7","year":"2022","journal-title":"IEEE Robotics and Automation Letters"},{"key":"key2024022210025275700_ref003","article-title":"Efficient surfel-based SLAM using 3D laser range data in urban environments","volume-title":"Robotics: Science and Systems 2018","year":"2018"},{"key":"key2024022210025275700_ref004","first-page":"2743","article-title":"The normal distributions transform: a new approach to laser scan matching","volume-title":"2003 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. 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