@article{01GJ5JXS79YQ8QX04P5KNABMXS,
  abstract     = {{Progress monitoring is an essential part of large construction projects. As manual progress monitoring is time-consuming, the need for automation emerges, especially as, nowadays, BIM for the design of buildings and laser scanning for capturing the as-built situation have become well adopted. However, to be able to compare the as-built model obtained by laser scanning to the BIM design, both models need to use the same reference system, which often is not the case. Transforming the coordinate system of the as-built model into the BIM model is a specialist process that is pre-requisite in automated construction progress monitoring. The research described in this paper is aimed at the automation of this so-called registration process and is based on the dominant planar geometry of most buildings with evident corner points in their structures. After extracting these corner points from both the as-built and the design model, a RANSAC-based pairwise assessment of the points is performed to identify potential matching points in both models using different discriminative geometric invariants. Next, the transformation for the potential matches is evaluated to find all the matching points. In the end, the most accurate transformation parameter is determined from the individual transformation parameters of all the matching corner points. The proposed method was tested and validated with a range of both simulated and real-life datasets. In all the case studies including the simulated and real-life datasets, the registration was successful and accurate. Furthermore, the method allows for the registration of the as-built models of incomplete buildings, which is essential for effective construction progress monitoring. As the method uses the standard IFC schema for data exchange with the BIM, there is no loss of geometrical information caused by data conversions and it supports the complete automation of the progress-monitoring process.}},
  articleno    = {{5271}},
  author       = {{Sheik, Noaman Akbar and Veelaert, Peter and Deruyter, Greet}},
  issn         = {{2072-4292}},
  journal      = {{REMOTE SENSING}},
  keywords     = {{AUTOMATIC REGISTRATION,CONGRUENT SETS,URBAN SCENES,CLOUDS,HISTOGRAMS,BIM,point cloud,registration,buildings,automated,IFC,corner point}},
  language     = {{eng}},
  number       = {{20}},
  pages        = {{23}},
  title        = {{Registration of building scan with IFC-based BIM using the corner points}},
  url          = {{http://doi.org/10.3390/rs14205271}},
  volume       = {{14}},
  year         = {{2022}},
}

Altmetric

View in Altmetric

Web of Science

Times cited: