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http://dx.doi.org/10.11108/kagis.2019.22.4.229

Automatic Registration of Point Cloud Data between MMS and UAV using ICP Method  

KIM, Jae-Hak (Geo-Spatial Information Planing Team, Geostory Co. Ltd.)
LEE, Chang-Min (Dept. of Civil Engineering, Kangwon National University)
KIM, Hyeong-Joon (Dept. of Civil Engineering, Kangwon National University)
LEE, Dong-Ha (Dept. of Civil Engineering, Kangwon National University)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.22, no.4, 2019 , pp. 229-240 More about this Journal
Abstract
3D geo-spatial model have been widely used in the field of Civil Engineering, Medical, Computer Graphics, Urban Management and many other. Especially, the demand for high quality 3D spatial information such as precise road map construction has explosively increased, MMS and UAV techniques have been actively used to acquire them more easily and conveniently in surveying and geo-spatial field. However, in order to perform 3D modeling by integrating the two data set from MMS and UAV, its so needed an proper registration method is required to efficiently correct the difference between the raw data acquisition sensor, the point cloud data generation method, and the observation accuracy occurred when the two techniques are applied. In this study, we obtained UAV point colud data in Yeouido area as the study area in order to determine the automatic registration performance between MMS and UAV point cloud data using ICP(Iterative Closet Point) method. MMS observations was then performed in the study area by dividing 4 zones according to the level of overlap ratio and observation noise with based on UAV data. After we manually registered the MMS data to the UAV data, then compared the results which automatic registered using ICP method. In conclusion, the higher the overlap ratio and the lower the noise level, can bring the more accurate results in the automatic registration using ICP method.
Keywords
3D geo-spatial model; Automatic registration; ICP; MMS; UAV;
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