ABSTRACT
In this work, 3D measurement, such as terrestrial laser scanning, is applied for advanced infrastructure management and building information modeling (BIM). Although terrestrial laser scanning can acquire massive point cloud data for BIM, 3D measurement using high-precision laser scanning is affected by slab bending with active loading, such as vehicle movements on a bridge. Thus, stripy noises occur in acquired point clouds. To remove the stripy noises for precise 3D bridge modeling, we propose two methodologies: multiple data subtraction and noise pattern estimation. Our two methodologies were compared with plane estimation methodology and verified using terrestrial laser scanning data taken under a road bridge. Through experiments, we confirmed that our algorithms can automatically cancel the slab-bending effect of a bridge in laser scanning works.
