Automated Condition Assessment of Sanitary Sewer Pipes Using LiDAR Inspection Data-Reference-Cited by-同舟云学术

Automated Condition Assessment of Sanitary Sewer Pipes Using LiDAR Inspection Data

Published:2022-07-28 Issue: Volume: Page:
ISSN:
Container-title:Pipelines 2022
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Author:

Ebrahimi Moein¹²,Hojat Jalali Himan¹²

Affiliation:

1. Ph.D. Student, Dept. of Civil Engineering, Univ. of Texas at Arlington, Arlington, TX. ORCID: .

2. Assistant Professor, Dept. of Civil Engineering, Univ. of Texas at Arlington, Arlington, TX. ORCID: .

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784484289.016

Reference13 articles.

1. ASCE. (2021). Infrastructure Report Card. https://infrastructurereportcard.org/wp-content/uploads/2020/12/National_IRC_2021-report.pdf.

2. Pipe inspection using a laser-based transducer and automated analysis techniques

3. Ékes C. Neducza B. and Henrich G. R. (2011). “GPR Goes Underground: Pipe Penetrating Radar.” Proc. North American Society for Trenchless Technology (NASTT) No-Dig Show Washington D.C. March 27-31 Paper B-3-02.

4. Feng Z. Horoshenkov K. V. Bin Ali M. T. and Tait S. (2012). “An acoustic method for condition classification in live sewer networks.” 18th World Conference on Nondestructive Testing(WCNDT). Durban South Africa.

5. Kramer, O. (2013). “K-Nearest Neighbors.” In: Dimensionality Reduction with Unsupervised Nearest Neighbors. 51. Berlin, Heidelberg: Intelligent Systems Reference Library.

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