The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B2-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 141–146, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-141-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 141–146, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-141-2022
 
30 May 2022
30 May 2022

COMPARISON OF PHOTOGRAMMETRY TOOLS CONSIDERING REBAR PROGRESS RECOGNITION

A. H. Qureshi1, W. S. Alaloul1, A. Murtiyoso2, S. Saad1, and B. Manzoor1 A. H. Qureshi et al.
  • 1Department of Civil and Environmental Engineering, University Technology PETRONAS, Perak Darul Ridzuan, Malaysia
  • 2Forest Resources Management Group, Institute of Terrestrial Ecosystems, Department of Environmental Systems Science, ETH Zürich, Switzerland

Keywords: Photogrammetry Software, Point Cloud Model, Point Cloud Evaluation, Steel Reinforcement, Progress Detection

Abstract. Construction progress monitoring is an important process throughout the project timeline towards its successful completion. Among imaging techniques, photogrammetry is considered as economical and effective method. However, few studies can be found on construction progress monitoring via photogrammetry; thus, not much guideline is available for this domain. This study evaluated the photogrammetry tools for the progress assessment of the rebar grid framework. Photogrammetry tools were evaluated and analysed following defined criteria, and Agisoft Metashape, and 3DF Zephyr were identified as better options. This study aims to provide a guideline to construction industry professionals and stakeholders towards the adoption of photogrammetric progress assessment for construction activities.