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http://dx.doi.org/10.13161/kibim.2021.11.4.001

Analysis of overlap ratio for registration accuracy improvement of 3D point cloud data at construction sites  

Park, Su-Yeul (한국교통대학교 철도융합시스템공학과)
Kim, Seok (한국교통대학교 철도인프라시스템공학과)
Publication Information
Journal of KIBIM / v.11, no.4, 2021 , pp. 1-9 More about this Journal
Abstract
Comparing to general scanning data, the 3D digital map for large construction sites and complex buildings consists of millions of points. The large construction site needs to be scanned multiple times by drone photogrammetry or terrestrial laser scanner (TLS) survey. The scanned point cloud data are required to be registrated with high resolution and high point density. Unlike the registration of 2D data, the matrix of translation and rotation are used for registration of 3D point cloud data. Archiving high accuracy with 3D point cloud data is not easy due to 3D Cartesian coordinate system. Therefore, in this study, iterative closest point (ICP) registration method for improve accuracy of 3D digital map was employed by different overlap ratio on 3D digital maps. This study conducted the accuracy test using different overlap ratios of two digital maps from 10% to 100%. The results of the accuracy test presented the optimal overlap ratios for an ICP registration method on digital maps.
Keywords
3D Digital Map; Point Cloud Date; Iterative Closest Point Registration; Overlap Ratio; Accuracy;
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Times Cited By KSCI : 1  (Citation Analysis)
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