UAV-based construction progress monitoring: enhancing efficiency and safety
Keywords:UAV, Photogrammetry, Orthophoto, Monitoring, Construction
Unmanned Aerial Vehicles (UAVs) have gained significant attention for monitoring construction progress, offering real-time and accurate information for site management. This paper explores the advantages of utilizing UAVs in construction progress monitoring and highlights their contributions to decision-making, project coordination, data accuracy, and site safety. UAVs provide a comprehensive aerial view of the construction site, facilitating a better understanding of progress and spatial relationships. Regular monitoring at predetermined intervals enables time-lapse records, aiding in identifying changes and delays. Furthermore, UAVs enhance data accuracy through advanced processing techniques, enabling precise measurements and objective assessment of progress. They also improve safety by accessing hazardous areas and assisting in safety inspections. The study focuses on monitoring a new dormitory building at Harran University Osmanbey Campus using UAV flights at different times, providing insightful analyses for construction management. These findings contribute to the construction management field, benefiting project stakeholders and expanding our understanding of effective monitoring techniques. With advancing technology and evolving regulations, UAVs are expected to play an increasingly prevalent role in construction progress monitoring, enhancing project management practices.
Bognot, J. R., Candido, C. G., Blanco, A. C., & Montelibano, J. R. Y. (2018). Building construction progress monitoring using unmanned aerial system (UAS), low-cost photogrammetry, and geographic information system (GIS). ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 4, 41-47.
Qu, T., Zang, W., Peng, Z., Liu, J., Li, W., Zhu, Y., Zhang, B., & Wang, Y. (2017, April). Construction site monitoring using uav oblique photogrammetry and bim technologies. In Proceedings of the 22nd CAADRIA Conference, Suzhou, China (pp. 5-8).
Remondino, F., & El‐Hakim, S. (2006). Image‐based 3D modelling: a review. The photogrammetric record, 21(115), 269-291.
Son, H., & Kim, C. (2010). 3D structural component recognition and modeling method using color and 3D data for construction progress monitoring. Automation in Construction, 19(7), 844-854.
Uysal, M., Toprak, A. S., & Polat, N. (2015). DEM generation with UAV Photogrammetry and accuracy analysis in Sahitler hill. Measurement, 73, 539-543.
Snavely, N., Seitz, S. M., & Szeliski, R. (2008). Modeling the world from internet photo collections. International journal of computer vision, 80, 189-210.
Toprak, A. S., Polat, N., & Uysal, M. (2019). 3D modeling of lion tombstones with UAV photogrammetry: a case study in ancient Phrygia (Turkey). Archaeological and Anthropological Sciences, 11(5), 1973-1976.
Akca, S., & Polat, N. (2022). Semantic segmentation and quantification of trees in an orchard using UAV orthophoto. Earth Science Informatics, 15(4), 2265-2274.