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Automated building and evaluation of 2D as-built floor plans

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Abstract

Site inspection is a notably tedious, time-consuming, and error-prone process when carried out manually by construction inspectors. One portion of site inspection is the generation and comparison of as-built drawings to their as-planned counterparts to ensure conformity. Current as-built evaluation systems rely on manually positioning and transporting scanning stations around the site to collect a cohesive map of the environment and then followed by a manual assessment of the site status using the built drawings. This paper proposes an automated alternative to the generation and assessment of 2D as-built floor maps by relying on robotic simultaneous localisation and mapping (SLAM) to build the 2D as-built maps, followed by automated evaluation of the as-built maps using machine vision. The components of the proposed system have been tested through proof of concept experiments inside 2 different constructed sites. Results indicate average errors below 4 cm (site of 30 m x 15 m) between the disparities identified by our proposed system versus ground truth measured disparities.

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Acknowledgements

Funding the research for this publication was provided by a grant from the University Research Board (URB) at the American University of Beirut.

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Authors and Affiliations

  1. Vision and Robotics Lab, Maroun Semaan Faculty of Engineering and Architecture, American University of Beirut, Riad El Solh, 1107-2020, Beirut, Lebanon

    Daniel Asmar, Rema Daher, Yasmine Hawari & Imad H. Elhajj

  2. Civil and Environmental Engineering, Maroun Semaan Faculty of Engineering and Architecture, American University of Beirut, Riad El Solh, 1107-2020, Beirut, Lebanon

    Hiam Khoury

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  1. Daniel Asmar
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Asmar, D., Daher, R., Hawari, Y. et al. Automated building and evaluation of 2D as-built floor plans. Machine Vision and Applications 33, 36 (2022). https://doi.org/10.1007/s00138-022-01289-8

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