Intelligent Concrete Surface Cracks Detection using Computer Vision, Pattern Recognition, and Artificial Neural Networks

Author:

Mirbod Majid,Shoar Maryam

Publisher

Elsevier BV

Subject

General Engineering

Reference23 articles.

1. Abudayyeh, O.Y., J. Barbera, I. Abdel-Qader, H. Cai, and E. Almaita. 2010. Towards Sensor-Based Health Monitoring Systems for Bridge Decks: A Full-Depth Precast Deck Panels Case Study.

2. National Bridge Inspection Standards of Federal Highway Administration. 2019.https://www.govinfo.gov/content/pkg/FR-2019-11-12/pdf/2019-23929.pdf.

3. Towards UAV-based bridge inspection systems: a review and an application perspective;Chan;Struct.Maint,2015

4. Fatigue Crack Detection Using Unmanned Aerial Systems in Under-Bridge Inspection;Dorafshan,2017

5. S. Dorafshan, M. Maguire, N. Hoffer, C. Coopmans, Challenges in bridge inspection using small unmanned in Computer Engineering & Technology (IJARCET) Volume 3 Issue 4, April 2014.

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