Quality enhancement in digital twin production of complex architectures with integrated use of terrestrial and aerial images

Authors

  • Umut Gunes Sefercik
  • Ilyas Aydın
  • Mertcan Nazar

Keywords:

Digital Twin, Unmanned Aerial Vehicle, Terrestrial Photogrammetry, Data Fusion

Abstract

The concept of digital twin is included in many working disciplines today and its popularity is constantly increasing. There are photogrammetry-based mathematical models belonging to the geomatics discipline in the production of digital twin and three-dimensional (3D) model production can be easily realized with current advanced remote sensing technologies like unmanned aerial vehicles (UAV). However, when architectural components such as porches and eaves are taken into account, the inadequacy of altitude-based perspective creates serious problems in digital model production. In the solution of these problems, the need for terrestrial imaging arises and quality enhancement can be provided by data fusion. In this study, it is aimed to produce a high-quality digital twin of the Gebze Technical University Geomatics Engineering Department building. This building stands out with its different architectural structures due to its densely patterned exterior and reflective surfaces. Terrestrial and aerial photogrammetry were used in an integrated way with the aim of producing the highest quality of all facades of this building, which has a very difficult structure for the production of digital twins. Visual and statistical analyzes of the final outputs were carried out and the problems encountered in integrated methods due to complex architectural structures and alternative solution methods were discussed.

References

Lo, C. K., Chen, C. H., & Zhong, R. Y. (2021). A review of digital twin in product design and development. Advanced Engineering Informatics, 48, 101297.

Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., & Sui, F. (2018). Digital twin-driven product design, manufacturing and service with big data. The International Journal of Advanced Manufacturing Technology, 94, 3563-3576.

Ploeger, D. (2011). Digital Parts/Modular Doubles: fragmenting the ‘digital double’. Body, Space & Technology, 10(1).

Schuh, G., Rebentisch, E., Riesener, M., Ipers, T., Tönnes, C., & Jank, M. H. (2019). Data quality program management for digital shadows of products. Procedia CIRP, 86, 43-48.

Biahmou, A., Emmer, C., Pfouga, A., & Stjepandić, J. (2016). Digital master as an enabler for industry 4.0. In Transdisciplinary Engineering: Crossing Boundaries, 672-681, ISBN: 978-1-61499-703-0.

Tao, F., Zhang, H., Liu, A., & Nee, A. Y. (2018). Digital twin in industry: State-of-the-art. IEEE Transactions on industrial informatics, 15(4), 2405-2415.

Wu, B., Xie, L., Hu, H., Zhu, Q., & Yau, E. (2018). Integration of aerial oblique imagery and terrestrial imagery for optimized 3D modeling in urban areas. ISPRS journal of photogrammetry and remote sensing, 139, 119-132.

Russo, M., & Manferdini, A. M. (2014). Integration of image and range-based techniques for surveying complex architectures. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2, 305-312.

Downloads

Published

2023-07-30