Campus Units
Electrical and Computer Engineering
Document Type
Article
Publication Version
Published Version
Publication Date
2018
Journal or Book Title
Transport
Volume
33
Issue
3
First Page
598
Last Page
608
DOI
10.3846/transport.2018.1559
Abstract
Pavements are critical man-made infrastructure systems that undergo repeated traffic and environmental loadings. Consequently, they deteriorate with time and manifest certain distresses. To ensure long-lasting performance and appropriate level of service, they need to be preserved and maintained. Highway agencies routinely employ semiautomated and automated image-based methods for network-level pavement-cracking data collection, and there are different types of pavement-cracking data collected by highway agencies for reporting and management purposes. We design a shape-based crack detection approach for pavement health monitoring, which takes advantage of spatial distribution of potential cracks. To achieve this, we first extract Potential Crack Components (PCrCs) from pavement images. Next, we employ polynomial curve to fit all pixels within these components. Finally, we define a Shape Metric (SM) to distinguish crack blocks from background. We experiment the shape-based crack detection approach on different datasets, and compare detection results with an alternate method that is based on Support Vector Machines (SVM) classifier. Experimental results prove that our approach has the capability to produce higher detections and fewer false alarms. Additional research is needed to improve the robustness and accuracy of the developed approach in the presence of anomalies and other surface irregularities.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright Owner
The Author(s)
Copyright Date
2018
Language
en
File Format
application/pdf
Recommended Citation
Wang, Teng; Gopalakrishnan, Kasthurirangan; Smadi, Omar G.; and Somani, Arun K., "Automated shape-based pavement crack detection approach" (2018). Electrical and Computer Engineering Publications. 287.
https://lib.dr.iastate.edu/ece_pubs/287
Included in
Civil Engineering Commons, Electromagnetics and Photonics Commons, Transportation Engineering Commons
Comments
This article is published as Wang, Teng, Kasthurirangan Gopalakrishnan, Omar Smadi, and Arun K. Somani. "Automated shape-based pavement crack detection approach." Transport 33, no. 3 (2018): 598-608. DOI: 10.3846/transport.2018.1559. Posted with permission.