A study on 3d modeling metodology using point cloud segmentation －Application to river structure design and maintenance－

Abstract

BIM/CIM is being promoted in the construction field.While the establishment of effective utilization methods for 3D point cloud data contributes greatly to the promotion of BIM/CIM, handling large volumes of point cloud information presents many challenges, and efficient processing is required while controlling the computational load.In this study, we used point cloud segmentation, a technique for classifying point clouds using deep learning (Deep Learning), a type of AI (Artificial Intelligence) technology.Based on practical needs, modeling was conducted for use in the fields of river structure design and maintenance.The actual modeling flow was presented using real data, and it was shown that 3D modeling has the potential to contribute to the sophistication and labor saving by efficiently modeling without losing necessary information.