Surface Identification of Top-Down, Bottom-Up, and Cement-Treated Reflective Cracks Using Convolutional Neural Network and Artificial Neural Networks-Reference-Cited by-同舟云学术

Surface Identification of Top-Down, Bottom-Up, and Cement-Treated Reflective Cracks Using Convolutional Neural Network and Artificial Neural Networks

Published:2021-03 Issue:1 Volume:147 Page:04020080
ISSN:2573-5438
Container-title:Journal of Transportation Engineering, Part B: Pavements
language:en
Short-container-title:J. Transp. Eng., Part B: Pavements

Author:

Dhakal Nirmal¹,Zihan Zia U. A.²^ORCID,Elseifi Mostafa A.³^ORCID,Mousa Momen R.⁴,Gaspard Kevin⁵,Fillastre Christophe N.⁶

Affiliation:

1. Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Louisiana State Univ., 3256 Patrick Taylor Hall, Baton Rouge, LA 70803.

2. Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Louisiana State Univ., 3256 Patrick Taylor Hall, Baton Rouge, LA 70803. ORCID: .

3. Occidental Chemical Corporation Distinguished Professor, Dept. of Civil and Environmental Engineering, Louisiana State Univ., 3240N Patrick Taylor Hall, Baton Rouge, LA 70803 (corresponding author). ORCID: .

4. Postdoctoral Research Associate-Transportation Consortium of South-Central States (Tran-SET) UTC, Dept. of Construction Management, Louisiana State Univ., 3320 Patrick F. Taylor Hall, Baton Rouge, LA 70803.

5. Senior Pavement Research Engineer, Louisiana Transportation Research Center, 4101 Gourrier Ave., Baton Rouge, LA 70808.

6. Pavement Management Engineer, Louisiana Dept. of Transportation and Development, 1201 Capitol Access Rd., Baton Rouge, LA 70804.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/JPEODX.0000240

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5. Deep Convolutional Neural Networks with transfer learning for computer vision-based data-driven pavement distress detection

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