Unmanned aerial vehicle technology use in visual road inspection at Ft005, Johor Bahru-Melaka
Link to publisher's homepage at http://ijneam.unimap.edu.my
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Universiti Malaysia Perlis (UniMAP)
2022
|
| Subjects: | |
| Online Access: | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/75809 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Malaysia Perlis |
| Language: | English |
| id |
my.unimap-75809 |
|---|---|
| record_format |
dspace |
| spelling |
my.unimap-758092022-08-07T03:35:47Z Unmanned aerial vehicle technology use in visual road inspection at Ft005, Johor Bahru-Melaka Masiri, Kaamin Masiri, Kaamin Saiful Azhar, Ahmad Tajudin Nor Athirah, Basri Rosdi, Ab Rahman Ahmad Hakimi, Mat Nor Muhammad Azraie, Abdul Kadir Mardiha, Mokhtar Luo, Pingping masiri@uthm.edu.my Department of Civil Engineering, Centre for Diploma Studies, Universiti Tun Hussein Onn Malaysia (UTHM) Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn Malaysia (UTHM) School of Water and Environment, Chang’an University Visual road inspection UAV technology Photogrammetry method Pavement Condition Index (PCI) Link to publisher's homepage at http://ijneam.unimap.edu.my Visual road inspection is one of the key phases of road maintenance to examine and describe the condition of road infrastructure. The local authority still uses the conventional road inspection method. However, this method has its drawbacks. In this study, Unmanned Aerial Vehicle (UAV) was used to help in the road infrastructure information search and to determine the severity level of the road in visual road inspection. The objectives of this study are: to capture road images at study locations using UAV technology, to produce data for pavement distress using the UAV photogrammetry method, and to analyse the level of pavement distress using the Pavement Condition Index (PCI) method. Results from this study showed that UAVs are suitable for aerial mapping with the condition that a professional operator operates it during data acquisition and the use of UAVs as a verification medium is more efficient than the conventional method because it measures every end and vertex of the road using a digitising method, whereas the conventional method measures from vertex to the vertex of the road using a theodolite. A total of 206 locations with 11 different types of pavement distress have been identified by the PCI results using this technology. Overall, the pavement distress of the road from Sections 1 to 4 is at a serious level and necessitates reconstruction. 2022 2022-08-07T03:35:47Z 2022-08-07T03:35:47Z 2022-03 Article International Journal of Nanoelectronics and Materials, vol.15 (Special Issue), 2022, pages 37-48 1997-4434 (Online) 1985-5761 (Printed) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/75809 http://ijneam.unimap.edu.my en Special Issue ISSTE 2022; Universiti Malaysia Perlis (UniMAP) |
| institution |
Universiti Malaysia Perlis |
| building |
UniMAP Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Malaysia Perlis |
| content_source |
UniMAP Library Digital Repository |
| url_provider |
http://dspace.unimap.edu.my/ |
| language |
English |
| topic |
Visual road inspection UAV technology Photogrammetry method Pavement Condition Index (PCI) |
| spellingShingle |
Visual road inspection UAV technology Photogrammetry method Pavement Condition Index (PCI) Masiri, Kaamin Masiri, Kaamin Saiful Azhar, Ahmad Tajudin Nor Athirah, Basri Rosdi, Ab Rahman Ahmad Hakimi, Mat Nor Muhammad Azraie, Abdul Kadir Mardiha, Mokhtar Luo, Pingping Unmanned aerial vehicle technology use in visual road inspection at Ft005, Johor Bahru-Melaka |
| description |
Link to publisher's homepage at http://ijneam.unimap.edu.my |
| author2 |
masiri@uthm.edu.my |
| author_facet |
masiri@uthm.edu.my Masiri, Kaamin Masiri, Kaamin Saiful Azhar, Ahmad Tajudin Nor Athirah, Basri Rosdi, Ab Rahman Ahmad Hakimi, Mat Nor Muhammad Azraie, Abdul Kadir Mardiha, Mokhtar Luo, Pingping |
| format |
Article |
| author |
Masiri, Kaamin Masiri, Kaamin Saiful Azhar, Ahmad Tajudin Nor Athirah, Basri Rosdi, Ab Rahman Ahmad Hakimi, Mat Nor Muhammad Azraie, Abdul Kadir Mardiha, Mokhtar Luo, Pingping |
| author_sort |
Masiri, Kaamin |
| title |
Unmanned aerial vehicle technology use in visual road inspection at Ft005, Johor Bahru-Melaka |
| title_short |
Unmanned aerial vehicle technology use in visual road inspection at Ft005, Johor Bahru-Melaka |
| title_full |
Unmanned aerial vehicle technology use in visual road inspection at Ft005, Johor Bahru-Melaka |
| title_fullStr |
Unmanned aerial vehicle technology use in visual road inspection at Ft005, Johor Bahru-Melaka |
| title_full_unstemmed |
Unmanned aerial vehicle technology use in visual road inspection at Ft005, Johor Bahru-Melaka |
| title_sort |
unmanned aerial vehicle technology use in visual road inspection at ft005, johor bahru-melaka |
| publisher |
Universiti Malaysia Perlis (UniMAP) |
| publishDate |
2022 |
| url |
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/75809 |
| _version_ |
1743108377944260608 |