RESEARCH FOR GENERATING PARAMETRIC BRIDGE MODEL USING POINT CLOUD COMPLETION

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  • 点群補完技術を用いたパラメトリック橋梁モデルの生成に関する研究

Abstract

<p> In Japan, social infrastructure constructed during the period of rapid economic growth is seriously aging, and there is therefore an urgent need to inspect and repair it to extend its service life. Accordingly, the Ministry of Land, Infrastructure, Transport, and Tourism is promoting CIM and i-Construction with the aim of improving the efficiency of maintenance and management operations by utilizing point cloud data and 3D models. However, it is difficult to measure the entire structure of an elevated bridge or a road with heavy traffic because of the limited measurement locations. In this regard, existing research has been unable to generate 3D models from such incompletely measured point cloud data. Therefore, we propose a novel approach that uses deep learning to generate a parametric bridge model to complement missing point cloud data.</p>

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