Download PDFOpen PDF in browserEnhanced Curtain Wall Construction Progress Monitoring via Tower Crane Perspective and Integrated 3D Reconstruction12 pages•Published: August 28, 2025AbstractUrban development has driven the widespread proliferation of high-rise buildings, making curtain wall construction a critical aspect of progress management. However, the extensive surface areas of curtain walls and the severe perspective distortions present significant challenges to efficient construction progress monitoring. To address these challenges, a novel method is proposed for tracking curtain wall installation progress in high-rise buildings through integrated 3D reconstruction. Cameras are strategically mounted at the ends of adjacent tower crane booms, with multiple ground control points (GCPs) deployed on-site as hardware anchors. The process begins with capturing multi-view images using the crane-mounted cameras. The COLMAP 3D reconstruction pipeline is enhanced by incorporating GCPs to ensure accurate 3D reconstruction within a real-world coordinate system. The building structure is subsequently extracted from the site model, and rectified facade images are generated using projection techniques. The curtain wall installation progress is assessed at both the floor and overall building levels using the YOLOv8 image segmentation model. The proposed method was validated through a case study on a super high-rise construction site. This approach achieved decimeter-level accuracy in 3D reconstruction and a precision rate of 95.9% in curtain wall progress identification, meeting project requirements. These findings establish a robust framework for managing large-scale outdoor construction progress, particularly for high-rise curtain walls. Additionally, the site modeling methodology enables more refined and timely monitoring practices, offering significant potential for the development of digital twin models.Keyphrases: computer vision, curtain wall, digital twin, progress identification, three dimensional modeling In: Jack Cheng and Yu Yantao (editors). Proceedings of The Sixth International Conference on Civil and Building Engineering Informatics, vol 22, pages 344-355.
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