Damage detection and drone inspection of roads with digital twin technology

Prokopets, V.; Gutsche, C.; Goetz, S.; Assmann, U.; Anantheswar, A.; Wollny, I.; Kaliske, M.; Hildebrandt, J.; Lehner, W.; Kehls, J.; Reese, S.; Brepols, T.

doi:10.34726/10882

Record link:

http://hdl.handle.net/20.500.12708/219474
https://doi.org/10.34726/10882

Title:

Damage detection and drone inspection of roads with digital twin technology

Citation:

Prokopets, V., Gutsche, C., Goetz, S., Assmann, U., Anantheswar, A., Wollny, I., Kaliske, M., Hildebrandt, J., Lehner, W., Kehls, J., Reese, S., & Brepols, T. (2025). Damage detection and drone inspection of roads with digital twin technology. In L. Eberhardsteiner, B. Hofko, & R. Blab (Eds.), Advances in Materials and Pavement Performance Prediction IV : Contributions to the 4th International Conference on Advances in Materials and Pavement Performance Prediction (AM3P 2025), 7-9 May 2025, Vienna, Austria (pp. 600–603). TU Wien, E230-03 Road Engineering. https://doi.org/10.34726/10882

reposiTUm DOI:

10.34726/10882

CatalogPlus:

AC17651401

Publication Type:

Inproceedings - Full-Paper Contribution

Language:

English

Authors:

Prokopets, V.
Gutsche, C.
Goetz, S.
Assmann, U.
Anantheswar, A.
Wollny, I.
Kaliske, M.
Hildebrandt, J.
Lehner, W.
Kehls, J.
Reese, S.
Brepols, T.

Organisational Unit:

E000 - Technische Universität Wien

Published in:

Advances in Materials and Pavement Performance Prediction IV : Contributions to the 4th International Conference on Advances in Materials and Pavement Performance Prediction (AM3P 2025), 7-9 May 2025, Vienna, Austria

ISBN:

978-3-901912-99-3

Volume:

DOI of the book:

10.34726/9259

Date (published):

2025

Event name:

Advances in Materials and Pavement Performance Prediction 2025 (AM3P 2025)

Event date:

7-May-2025 - 9-May-2025

Event place:

Wien, Austria

Number of Pages:

Publisher:

TU Wien, E230-03 Road Engineering, Wien

Peer reviewed:

Yes

Keywords:

digital twins; drone inspection; damage detection; context-aware simulations; road systems

Abstract:

Roads play a significant role in connecting cities to transport goods and people. Heavy usage requires constant monitoring and predictive maintenance. A digital twin is a technology aimed at representing the current state of an object and performing what-if analysis based on sensor dataflow. To reduce an error probability, gathering additional data is proficient. This paper introduces a concept for damage detection including drone inspection as a digital twin of the road system reaction. The inspection task is automatically established for the suspected damaged area.

Research Areas:

Modeling and Simulation: 35%
Structure-Property Relationsship: 30%
Computational System Design: 35%

Science Branch:

2011 - Bauingenieurwesen: 30%
2013 - Verkehrswesen: 70%

License:

CC BY 4.0