This research proposal aims to automate the Scan-to-BIM Quality Control (QC) process for Modular Off-site Construction (MOC). MOC requires millimeter-level precision, but the 3D scan data (point clouds) consist of raw coordinates without semantic information like wall or floor. Using AI (3D Semantic Segmentation) to automate classification presents a Catch-22 dilemma: training the AI requires […]
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