Automated multiclass structural damage detection and quantification using augmented reality-Reference-Cited by-同舟云学术

Automated multiclass structural damage detection and quantification using augmented reality

Published:2023-03 Issue:1 Volume:2 Page:100024
ISSN:2772-9915
Container-title:Journal of Infrastructure Intelligence and Resilience
language:en
Short-container-title:Journal of Infrastructure Intelligence and Resilience

Author:

Awadallah Omar^ORCID,Sadhu Ayan^ORCID

Funder

Ministry of Colleges and Universities

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Reference44 articles.

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2. Structural health monitoring techniques and technologies for large-scale structures: challenges, limitations, and recommendations;AlHamaydeh;Pract. Period. Struct. Des. Construct.,2022

3. Interactive defect quantification through extended reality;Al-Sabbag;Adv. Eng. Inf.,2022

4. Acquisition and management of field inspection data using augmented reality;Athanasiou,2020

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3. Recent progress and future outlook of digital twins in structural health monitoring of civil infrastructure;Smart Materials and Structures;2024-03-01

4. Integration of Bridge Health Monitoring System With Augmented Reality Application Developed Using 3D Game Engine–Case Study;IEEE Access;2024

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