Utilizing artificial intelligence to collect pavement surface condition data
Joint Authors
Naji, Ghazwan A.
Ulwan, Imzahim Abd al-Karim
Joni, Hasan H.
Source
Engineering and Technology Journal
Issue
Vol. 38, Issue 1A (31 Jan. 2020), pp.74-82, 9 p.
Publisher
Publication Date
2020-01-31
Country of Publication
Iraq
No. of Pages
9
Main Subjects
Abstract EN
Nowadays, data collection mechanisms are developed from ancient methods, including visual surveying to modern methods, which rely on digital imaging devices and laser scanning.
This is expensive, delay of the pavement maintenance management and consuming of time.
In this paper, a robust method proposed for automotive detection of linear distresses from real life movies of Iraqi highways.
In the suggested method, common types of cracks, potholes and raveling are distinguished and collected automatically using high speed imaging techniques.
The data extracted using the suggested method can be used for selecting priority of management maintenance of country roads and making decisions for treatment or rehabilitation.
American Psychological Association (APA)
Joni, Hasan H.& Ulwan, Imzahim Abd al-Karim& Naji, Ghazwan A.. 2020. Utilizing artificial intelligence to collect pavement surface condition data. Engineering and Technology Journal،Vol. 38, no. 1A, pp.74-82.
https://search.emarefa.net/detail/BIM-948611
Modern Language Association (MLA)
Joni, Hasan H.…[et al.]. Utilizing artificial intelligence to collect pavement surface condition data. Engineering and Technology Journal Vol. 38, no. 1A (2020), pp.74-82.
https://search.emarefa.net/detail/BIM-948611
American Medical Association (AMA)
Joni, Hasan H.& Ulwan, Imzahim Abd al-Karim& Naji, Ghazwan A.. Utilizing artificial intelligence to collect pavement surface condition data. Engineering and Technology Journal. 2020. Vol. 38, no. 1A, pp.74-82.
https://search.emarefa.net/detail/BIM-948611
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 81-82
Record ID
BIM-948611