{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T12:12:06Z","timestamp":1770466326390,"version":"3.49.0"},"reference-count":24,"publisher":"Emerald","issue":"1","license":[{"start":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T00:00:00Z","timestamp":1725840000000},"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":[[2025,1,27]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>Indoor hallways are the most common and indispensable part of people\u2019s daily life, commercial and industrial activities. This paper aims to achieve high-precision and dense 3D reconstruction of the narrow and long indoor hallway and proposes a 3D, dense 3D reconstruction, indoor hallway, rotating LiDAR reconstruction system based on rotating LiDAR.<\/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 develops an orthogonal biaxial rotating LiDAR sensing device for low texture and narrow structures in hallways, which can capture panoramic point clouds containing rich features. A discrete interval scanning method is proposed considering the characteristics of the indoor hallway environment and rotating LiDAR. Considering the error model of LiDAR, this paper proposes a confidence-based point cloud fusion method to improve reconstruction accuracy.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>In two different indoor hallway environments, the 3D reconstruction system proposed in this paper can obtain high-precision and dense reconstruction models. Meanwhile, the confidence-based point cloud fusion algorithm has been proven to improve the accuracy of 3D reconstruction.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>A 3D reconstruction system was designed to obtain a high-precision and dense indoor hallway environment model. A discrete interval scanning method suitable for rotating LiDAR and hallway environments was proposed. A confidence-based point cloud fusion algorithm was designed to improve the accuracy of LiDAR 3D reconstruction. The entire system showed satisfactory performance in experiments.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/ir-03-2024-0132","type":"journal-article","created":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T03:38:21Z","timestamp":1725507501000},"page":"116-125","source":"Crossref","is-referenced-by-count":5,"title":["Toward precise dense 3D reconstruction of indoor hallway: a confidence-based panoramic LiDAR point cloud fusion approach"],"prefix":"10.1108","volume":"52","author":[{"given":"Hongtai","family":"Cheng","sequence":"first","affiliation":[]},{"given":"Jiayi","family":"Han","sequence":"additional","affiliation":[]}],"member":"140","published-online":{"date-parts":[[2024,9,9]]},"reference":[{"issue":"5","key":"key2025012405291836300_ref001","doi-asserted-by":"publisher","DOI":"10.1002\/rob.21543","article-title":"Automatic calibration of spinning actuated LiDAR internal parameters","volume":"32","year":"2014","journal-title":"Journal of Field Robotics"},{"key":"key2025012405291836300_ref002","doi-asserted-by":"crossref","unstructured":"Bi, S., Yuan, C., Liu, C., Cheng, J., Wang, W. and Yueri, C. 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