Towards automated detection and quantification of concrete cracks using integrated images and lidar data from unmanned aerial vehicles-Reference-Cited by-同舟云学术

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Towards automated detection and quantification of concrete cracks using integrated images and lidar data from unmanned aerial vehicles

Published:2021-04-29 Issue: Volume: Page:
ISSN:1545-2255
Container-title:Structural Control and Health Monitoring
language:en
Short-container-title:Struct Control Health Monit

Author:

Yan Yujie¹^ORCID,Mao Zhong²,Wu Jiahao²,Padir Taskin²,Hajjar Jerome F.¹^ORCID

Affiliation:

1. Department of Civil and Environmental Engineering Northeastern University Boston Massachusetts USA

2. Department of Electrical and Computer Engineering Northeastern University Boston Massachusetts USA

Funder

Division of Information and Intelligent Systems

Office of Advanced Cyberinfrastructure

Northeastern University

U.S. Department of Homeland Security

Publisher

Wiley

Subject

Mechanics of Materials,Building and Construction,Civil and Structural Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/stc.2757

Reference55 articles.

1. ASCE.2017 Infrastructure report card. Report ASCE. Reston VA;2017.

2. Review of Robotic Infrastructure Inspection Systems

3. Automated Bridge Inspection Using Mobile Ground Robotics

4. Nondestructive evaluation sensor fusion with autonomous robotic system for civil infrastructure inspection

5. Automated robotic monitoring and inspection of steel structures and bridges

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4. Estimation of load-carrying capacity of cracked RC beams using 3D digital twin model integrated with point clouds and images;Engineering Structures;2024-07

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