Methodology for Accurate AASHTO PP67-10–Based Cracking Quantification Using 1-mm 3D Pavement Images-Reference-Cited by-同舟云学术

Methodology for Accurate AASHTO PP67-10–Based Cracking Quantification Using 1-mm 3D Pavement Images

Published:2017-03 Issue:2 Volume:31 Page:04016056
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Qiu Shi¹,Wang Wenjuan²,Wang Shaofan³,Wang Kelvin C. P.⁴

Affiliation:

1. Assistant Professor, Beijing Key Laboratory of Traffic Engineering and Beijing Collaborative Innovation Center for Metropolitan Transportation, College of Metropolitan Transportation, Beijing Univ. of Technology, 100 Pingleyuan, Chaoyang District, Beijing 100124, China; Postdoctoral Research Fellow, School of Civil Engineering, Southwest Jiaotong Univ., 111 North Section 1, 2nd Ring Rd., Chengdu, Sichuan 610031, China.

2. Assistant Professor, College of Business Administration, Capital Univ. of Economics and Business, 121 Zhangjiakou Rd., Huaxiang, Fengtai District, Beijing 100070, China (corresponding author).

3. Assistant Professor, Beijing Key Laboratory of Multimedia and Intelligent Software, College of Metropolitan Transportation, Beijing Univ. of Technology, 100 Pingleyuan, Chaoyang District, Beijing 100124, China.

4. Professor and Gilbert, Cooper, W&W Steel Chair, School of Civil and Environmental Engineering, Oklahoma State Univ., Stillwater, OK 74074; Professor, School of Civil Engineering, Southwest Jiaotong Univ., 111 North Section 1, 2nd Ring Rd., Chengdu, Sichuan 610031, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000627

Reference45 articles.

1. AASHTO. (2000). “Standard practice for quantifying cracks in asphalt pavement surface.” AASHTO PP44-00 Washington DC.

2. AASHTO. (2011). “Standard practice for quantifying cracks in asphalt pavement surfaces from collected images utilizing automated methods.” AASHTO PP67-10 Washington DC.

3. Analysis of Edge-Detection Techniques for Crack Identification in Bridges

4. Tracking of Defects in Reinforced Concrete Bridges Using Digital Images

5. Multiresolution information mining for pavement crack image analysis;Adu-Gyamfi Y.;J. Comput. Civ. Eng.,2011

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