Condition Assessment of Unpaved Roads Using Low-Cost Computer Vision–Based Solutions

Author:

Lopes Amaral Loures Luana1,Rezazadeh Azar Ehsan2ORCID

Affiliation:

1. Graduate Research Assistant, Dept. of Civil Engineering, Lakehead Univ., Thunder Bay, ON, Canada P7B 5E1.

2. Associate Professor, Dept. of Civil Engineering, Lakehead Univ., Thunder Bay, ON, Canada P7B 5E1 (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Reference46 articles.

1. Archondo-Callao, R. 2004. Economically justified levels of road works expenditures on unpaved roads. Washington, DC: The World Bank.

2. Becker Y. V. F. H. L. Siqueira E. T. Matsubara W. N. Gonçalves and J. M. Marcato. 2019. “Asphalt pothole detection in UAV images using convolutional neural networks.” In Proc. 2019 IEEE Int. Geoscience and Remote Sensing Symp. 56–58. New York: IEEE.

3. Chen L. C. G. Papandreou F. Schroff and H. Adam. 2017. “Rethinking atrous convolution for semantic image segmentation.” Preprint submitted December 5 2017. https://doi.org/10.48550/arXiv.1706.05587.

4. CIA (Central Intelligence Agency). 2021. “Roadways.” Accessed May 30 2021. https://www.cia.gov/the-world-factbook/field/roadways/.

5. Dobson R. J. C. Brooks C. Roussi and T. Colling. 2013. “Developing an unpaved road assessment system for practical deployment with high-resolution optical data collection using a helicopter UAV.” In Proc. 2013 Int. Conference on Unmanned Aircraft Systems (ICUAS) 235–243. New York: IEEE.

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