Concepedia

Sewer Inspection

Sewer Inspection is a systematic evaluation procedure within wastewater collection systems that involves the visual, physical, or technological examination of sewer infrastructure to assess structural integrity, detect defects, and ensure operational functionality.

166

Publications

7.1K

Citations

389

Authors

162

Institutions

Publications per year

2017–2026

62

Parents

Publications

166

Autopilot control unmanned aerial vehicle system for sewage defect detection using deep learning

Binay Kumar Pandey, Digvijay Pandey, Kameshwar Sahani · Engineering Reports · 2024 · 220 citations · Full text

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State of the art in sensor technologies for sewer inspection

Olga Duran, Kaspar Althoefer, Lakmal Seneviratne · IEEE Sensors Journal · 2002 · 174 citations

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Deep Learning–Based Automated Detection of Sewer Defects in CCTV Videos

Srinath Shiv Kumar, Mingzhu Wang, Dulcy M. Abraham et al. · Journal of Computing in Civil Engineering · 2019 · 174 citations

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A unified convolutional neural network integrated with conditional random field for pipe defect segmentation

Mingzhu Wang, Jack C.P. Cheng · Computer-Aided Civil and Infrastructure Engineering · 2019 · 159 citations

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Automated defect detection for sewer pipeline inspection and condition assessment

Wei Guo, Lúcio Soibelman, James H. Garrett · Automation in Construction · 2009 · 152 citations

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1–5 of 166

Authors

389

  1. FC
    F.H.L.R. Clemens

    Delft University of Technology, Netherlands

    9 publications · 338 citations

    9

    h-index

  2. QZ
    Qianqian Zhou

    Guangdong University of Technology, China

    7 publications · 277 citations

    7

    h-index

  3. ZS
    Zuxiang Situ

    Guangdong University of Technology, China

    7 publications · 277 citations

    7

    h-index

  4. ST
    Shuai Teng

    Guangdong University of Technology, China

    7 publications · 277 citations

    7

    h-index

  5. AA
    Alireza Ahrary

    Kyushu Institute of Technology, Japan

    6 publications · 270 citations

    6

    h-index

1–5 of 389

Institutions

162

  1. Delft University of Technology

    Delft, The Netherlands

    11 h-index

    29 publications

    1.1K citations

  2. Kyushu Institute of Technology

    Kitakyushu, Japan

    7 h-index

    16 publications

    757 citations

  3. Guangdong University of Technology

    Guangzhou, China

    7 h-index

    35 publications

    1.4K citations

  4. FZI Research Center for Information Technology

    Karlsruhe, Germany

    6 h-index

    22 publications

    850 citations

  5. King's College London

    London, United Kingdom

    6 h-index

    18 publications

    864 citations

  6. National Chung Hsing University

    Taichung, Taiwan

    6 h-index

    10 publications

    644 citations

  7. Concordia University

    Montreal, Canada

    5 h-index

    11 publications

    709 citations

  8. Université Claude Bernard Lyon 1

    Villeurbanne, France

    5 h-index

    9 publications

    194 citations

1–8 of 162

Venues

  1. Automation in Construction

    20 publications · 1.4K citations

    20

    h-index

  2. Water Science & Technology

    8 publications · 314 citations

    8

    h-index

  3. Structure and Infrastructure Engineering

    5 publications · 218 citations

    5

    h-index

  4. Journal of Computing in Civil Engineering

    4 publications · 402 citations

    4

    h-index

  5. Expert Systems with Applications

    4 publications · 328 citations

    4

    h-index

1–5