This paper explores the application of automated verification for wall and opening structures using point cloud data, indicating potential to enhance accuracy.
Modern construction and management of buildings and infrastructure are undergoing a transformative revolution, catalyzed by integrating building information modeling and three-dimensional scanning. These cutting-edge technologies have emerged as pivotal components in ensuring the precision and dependability of data utilized throughout the lifecycle of infrastructure facilities. This paper explores the application of Python-based algorithms for point cloud segmentation and the extraction of wall and opening geometry from industry foundation classes models, providing a framework for automated and accurate verification of building elements. Integrating advanced algorithms demonstrates how the proposed approach can streamline the verification process and reduce errors.
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Madiev et al. (2025) studied this question.
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