Integrated Vision-Based System for Automated Defect Detection in Sewer Closed Circuit Television Inspection Videos-Reference-Cited by-同舟云学术

Integrated Vision-Based System for Automated Defect Detection in Sewer Closed Circuit Television Inspection Videos

Published:2015-01 Issue:1 Volume:29 Page:04014024
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Halfawy Mahmoud R.¹,Hengmeechai Jantira²

Affiliation:

1. President and CEO, Infrastructure Data Solutions, Inc. (IDS), 2 Research Dr., Suite 150-E, Regina, SK, Canada S4S 7H9; formerly, Senior Research Officer and Group Leader, Centre for Sustainable Infrastructure Research, National Research Council of Canada (corresponding author).

2. Senior Software Engineer, Infrastructure Data Solutions, Inc. (IDS), 120-2 Research Dr., Regina, SK, Canada S4S 7H9; formerly, Technical Officer, Centre for Sustainable Infrastructure Research, National Research Council of Canada.

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.1943-5487.0000312

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3. Neuro-Fuzzy Approaches for Sanitary Sewer Pipeline Condition Assessment

4. Assessment of a camera pose algorithm using images of brick sewers

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