Structural Defect Detection for Urban Road Pavement Using 3D Ground Penetrating Radar Based on Deep Learning

Author:

Wang Dawei1232,Lv Haotian1232,Tang Fujiao1232,Ye Chengsen1232

Affiliation:

1. School of Transportation Science and Engineering, Harbin Institute of Technology, Nangang District, Harbin, PR China; Institute of Highway Engineering, RWTH Aachen Univ., Aachen, Germany

2. School of Transportation Science and Engineering, Harbin Institute of Technology, Nangang District, Harbin, PR China

3. School of Transportation Science and Engineering, Harbin Institute of Technology, Nangang District, Harbin, PR China.

Publisher

American Society of Civil Engineers

Reference19 articles.

1. Gene-editable materials for future transportation infrastructure: a review for polyurethane-based pavement.;Hong B.;Journal of Infrastructure Preservation and Resilience

2. New innovations in pavement materials and engineering: A review on pavement engineering research;Chen J.;Journal of Traffic and Transportation Engineering (English Edition),2021

3. An experimental and numerical approach to combine Ground Penetrating Radar and computational modeling for the identification of early cracking in cement concrete pavements.;Rasol M. A.;Ndt & E International,2020

4. On the Use of Lateral Wave for the Interlayer Debonding Detecting in an Asphalt Airport Pavement Using a Multistatic GPR System;Zou L. L.;Ieee Transactions on Geoscience and Remote Sensing,2020

5. Joshaghani, A., and Shokrabadi, M. (2021). Ground penetrating radar (GPR) applications in concrete pavements.

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