Proceedings of the 2021 European Conference on Computing in Construction
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BIM-to-Scan for Scan-to-BIM: Generating Realistic Synthetic Ground Truth Point Clouds based on Industrial 3D Models
Florian Noichl, Alexander Braun, André BorrmannTechnical University of Munich, GermanyDOI: 10.35490/EC3.2021.166Abstract: In the field of Scan-to-BIM, recent developments achieve promising results in accuracy and flexibility, leveraging tools from the field of deep learning for semantic segmentation of raw point cloud data. Those methods demand large-scale, domain-specific datasets for training. Promising ideas to fulfill this need use primitive synthetic point cloud data, which predominantly lack distinct point cloud properties, such as missing patches due to occlusions in the scene. To solve this issue, we use a specialized laser scan simulation tool from the domain of Geosciences in a toolchain that allows generating realistic ground truth data based on 3D models. Keywords: Ontology Engineering, Information Container, As-Built Documentation, Asset Management, InfrastructurePages: 164 - 172 Paper:EC32021_166