<div class="csl-bib-body">
<div class="csl-entry">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.), <i>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</i> (pp. 600–603). TU Wien, E230-03 Road Engineering. https://doi.org/10.34726/10882</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/219474
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dc.identifier.uri
https://doi.org/10.34726/10882
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dc.description.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.
en
dc.language.iso
en
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dc.relation.ispartofseries
Advances in Materials and Pavements Performance Prediction
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dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
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dc.subject
digital twins
en
dc.subject
drone inspection
en
dc.subject
damage detection
en
dc.subject
context-aware simulations
en
dc.subject
road systems
en
dc.title
Damage detection and drone inspection of roads with digital twin technology
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.rights.license
Creative Commons Attribution 4.0 International
en
dc.rights.license
Creative Commons Namensnennung 4.0 International
de
dc.identifier.doi
10.34726/10882
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dc.contributor.affiliation
Technische Universität Dresden, Germany
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dc.contributor.affiliation
Technische Universität Dresden, Germany
-
dc.contributor.affiliation
Technische Universität Dresden, Germany
-
dc.contributor.affiliation
Technische Universität Dresden, Germany
-
dc.contributor.affiliation
Technische Universität Dresden, Germany
-
dc.contributor.affiliation
Technische Universität Dresden, Germany
-
dc.contributor.affiliation
Technische Universität Dresden, Germany
-
dc.contributor.affiliation
Technische Universität Dresden, Germany
-
dc.contributor.affiliation
Technische Universität Dresden, Germany
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dc.contributor.affiliation
RWTH Aachen University, Germany
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dc.contributor.affiliation
RWTH Aachen University, Germany
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dc.contributor.affiliation
RWTH Aachen University, Germany
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dc.relation.isbn
978-3-901912-99-3
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dc.relation.doi
10.34726/9259
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dc.description.startpage
600
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dc.description.endpage
603
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
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
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tuw.container.volume
IV
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tuw.peerreviewed
true
-
tuw.book.ispartofseries
Advances in Materials and Pavements Performance Prediction
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tuw.relation.publisher
TU Wien, E230-03 Road Engineering
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tuw.relation.publisherplace
Wien
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tuw.researchTopic.id
C6
-
tuw.researchTopic.id
M8
-
tuw.researchTopic.id
C3
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tuw.researchTopic.name
Modeling and Simulation
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tuw.researchTopic.name
Structure-Property Relationsship
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tuw.researchTopic.name
Computational System Design
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tuw.researchTopic.value
35
-
tuw.researchTopic.value
30
-
tuw.researchTopic.value
35
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tuw.publication.orgunit
E000 - Technische Universität Wien
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dc.identifier.libraryid
AC17651401
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dc.description.numberOfPages
4
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tuw.author.orcid
0009-0008-3887-3217
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dc.rights.identifier
CC BY 4.0
en
dc.rights.identifier
CC BY 4.0
de
tuw.editor.orcid
0000-0003-2153-9315
-
tuw.editor.orcid
0000-0002-8329-8687
-
tuw.editor.orcid
0000-0003-4101-1964
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tuw.event.name
Advances in Materials and Pavement Performance Prediction 2025 (AM3P 2025)
