Automated Detection of Multiple Pavement Defects-Reference-Cited by-同舟云学术

Automated Detection of Multiple Pavement Defects

Published:2017-03 Issue:2 Volume:31 Page:04016057
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Radopoulou Stefania C.¹^ORCID,Brilakis Ioannis²

Affiliation:

1. Ph.D. Student, Division of Civil Engineering, Dept. of Engineering, Univ. of Cambridge, ISG-62, Trumpington St., Cambridge CB2 1PZ, U.K. (corresponding author). ORCID: .

2. Laing O’Rourke Lecturer of Construction Engineering, Dept. of Engineering, Univ. of Cambridge, BC2-07, Trumpington St., Cambridge CB2 1PZ, U.K.

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.1943-5487.0000623

Reference117 articles.

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2. Multiresolution Information Mining for Pavement Crack Image Analysis

3. ALDOT (Alabama Department of Transportation). (2015). “Level of service condition assessments—Data collection manual.” Montgomery AL.

4. Aly M. (2008). “Real time detection of lane markers in urban streets.” Intelligent Vehicles Symp. IEEE New York 7–12.

5. Modeling of Crack Depths in Digital Images of Concrete Pavements Using Optical Reflection Properties

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