Automated Scaling of Point Cloud Rebar Model via ArUco-Supported Controlled Markers

Author:

Qureshi Abdul Hannan1,Alaloul Wesam Salah2,Murtiyoso Arnadi3,Hussain Syed Jawad4,Saad Syed5,Musarat Muhammad Ali6

Affiliation:

1. Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Universiti Teknologi PETRONAS, Seri Iskandar, Perak Darul Ridzuan 32610, Malaysia.

2. Senior Lecturer, Dept. of Civil and Environmental Engineering, Universiti Teknologi PETRONAS, Seri Iskandar, Perak Darul Ridzuan 32610, Malaysia (corresponding author).

3. Postdoctoral Researcher, Forest Resources Management Group, Institute of Terrestrial Ecosystems, Dept. of Environmental Systems Science, ETH Zürich, Zürich 8092, Switzerland.

4. Associate Professor, Dept. of Computer Science, Sir Syed Case Institute of Technology, Islamabad 45230, Pakistan.

5. Assistant Professor, Dept. of Civil Engineering, CECOS Univ. of IT and Emerging Sciences, Peshawar, KPK 25000, Pakistan.

6. Postdoctoral Researcher, Dept. of Civil and Environmental Engineering, Universiti Teknologi PETRONAS, Seri Iskandar, Perak Darul Ridzuan 32610, Malaysia.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Reference69 articles.

1. Agisoft. 2015. “Guidelines for calibrated scale bar placement and processing.” Accessed November 25 2023. https://www.agisoft.com/pdf/tips_and_tricks/CHI_Calibrated_Scale_Bar_Placement_and_Processing.pdf.

2. Agisoft. 2023. “How to install Metashape stand-alone Python module: Helpdesk Portal.” Accessed September 8 2023. https://agisoft.freshdesk.com/support/solutions/articles/31000148930-how-to-install-metashape-stand-alone-python-module.

3. Agisoft LLC. 2021. “Metashape python reference.” Release 2.0.0. Accessed December 8 2023. https://www.agisoft.com/pdf/metashape_python_api_1_8_2.pdf.

4. Evolution of close-range detection and data acquisition technologies towards automation in construction progress monitoring

5. A Concept for Automated Construction Progress Monitoring: Technologies Adoption for Benchmarking Project Performance Control

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