Face-vs-Segment Comparison: a New Method for Comparing As-planned and As-built Models
DOI: 10.35490/EC3.2025.276
Abstract: Recently, new technologies such as Building Information Modeling (BIM), laser scanning, and Lean construction approaches have significantly impacted the construction progress monitoring performance. However, mistakes during construction still occur due to drawing errors, poor communication, limited expertise, accidents, and other factors. To address this challenge, an improved Scan-vs-BIM methodology is proposed. Particularly, the Face-vs-Segment comparison incorporates semantic information, documents the magnitude and direction of deviations, and provides customized reporting. This approach reduces monitoring time, increase overall productivity, and improves decision-making processes. Thus with future research construction progress monitoring can be efficiently enhanced.
Keywords: Building Information Modelling, comparison, Construction progress monitoring, Point cloud segmentation, Python, SCAN-vs-BIM