Shipping container counting approach using unmanned aerial vehicle (UAV) and ArcGIS / Afiq Abdullah ... [et al.]

Abdullah, Afiq and Jaafar, Jasmee and Tahar, Khairul Nizam and Razali, Mohamad Hezri (2019) Shipping container counting approach using unmanned aerial vehicle (UAV) and ArcGIS / Afiq Abdullah ... [et al.]. Built Environment Journal, 16 (2): 2. pp. 15-26. ISSN 1675-5022

Official URL: https://bej.uitm.edu.my/

Abstract

In Malaysia, the existing of counting approach on the shipping container at depot is carried out by manual based system. This has made the efficiency of the method to be questioned which can be solved through automation. Under previous studies, Unmanned Aerial Vehicle (UAV) is demonstrated for automatic counting of cars and trees. Therefore, the possibility for shipping container counting is highly required in which promotes low-cost alternative and automatedpilot for data collection. Based on this study, the aerial images captured using UAV is combined with geographical information processing software, ArcGIS, towards automated approach for container counting. The overlapping aerial images are post-processed using photogrammetric technique to produce Digital Surface Model (DSM) that represents the ground and above surface feature’s elevations. Then, the constructed DSM is filtered to develop Digital Terrain Model (DTM) where it represents the ground surface’s elevation only. Then, container’s candidates are isolated using subtraction of the DTM from DSM to generate normalized DSM (nDSM) which represents the heights of container’s stacks. From the standard size and height of one container from ISO, the number of containers is extracted. The ModelBuilder tool available in ArcGIS is customized for automated geographical information processing. From results, the proposed approach contributed to 100% of counting accuracy.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Abdullah, Afiq
afiqabdullah14@gmail.com
Jaafar, Jasmee
jasmee@salam.uitm.edu.my
Tahar, Khairul Nizam
khairul0127@uitm.edu.my
Razali, Mohamad Hezri
hezrirazali@uitm.edu.my
Subjects: H Social Sciences > HE Transportation and Communications > Transportation (General works). Communication and traffic
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Divisions: Universiti Teknologi MARA, Shah Alam > Malaysia Institute of Transport (MITRANS)
Journal or Publication Title: Built Environment Journal
UiTM Journal Collections: UiTM Journal > Built Environment Journal (BEJ)
ISSN: 1675-5022
Volume: 16
Number: 2
Page Range: pp. 15-26
Keywords: Unmanned Aerial Vehicle, Counting, Shipping Container, ArcGIS, ModelBuilder
Date: July 2019
URI: https://ir.uitm.edu.my/id/eprint/65328
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