Evaluation of Pavement Surface Distress Using Image Processing and Artificial Neural Network-Reference-Cited by-同舟云学术

Evaluation of Pavement Surface Distress Using Image Processing and Artificial Neural Network

Published:2023-02-16 Issue:4 Volume:51 Page:20220259
ISSN:0090-3973
Container-title:Journal of Testing and Evaluation
language:en
Short-container-title:J. Test. Eval.

Author:

Ramachandraiah Suhas T.¹,Kumar Pradeep²,Pasupunuri Sampath Kumar²,Shinganmakki Jaya R.³

Affiliation:

1. CSIR-Central Road Research Institute, Mathura Rd., New Delhi, Delhi 110020, India (Corresponding author), e-mail: Suhas.crri20a@acsir.res.in, https://orcid.org/0000-0002-2471-3641

2. Pavement Evaluation Division, CSIR-Central Road Research Institute, Mathura Rd., New Delhi, Delhi 110020, India

3. RASTA - Center for Road Technology, Visvesvaraya Technological University, Penya Industrial Area, Bengaluru, Karnataka 560058, India

Publisher

ASTM International

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Reference19 articles.

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3. L. R. Kadiyali, Principles and Practices of Highway Engineering: (Including Expressways and Airport Engineering) (Nai Sarak, India: Khanna Publishers, 2015).

4. Transportation Research Board of the National Academies Artificial Intelligence in Transportation: Information for Application, Transportation Research Circular No. E-C113 (Washington, DC: Transportation Research Board of the National Academies, 2007).

5. An Automatic Pavement Surface Distress Inspection System;Huang;Journal of ASTM International,2005

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