Universiti Teknologi Malaysia Institutional Repository

Building inventory for seismic risk assessment using unmanned aerial vehicle

Alel, M. N. A. and Mohamad, E. T. and Abdullah, R. A. and Rahman, M. M. A. and Kadir, M. A. A. and Ramli, M. Z. (2017) Building inventory for seismic risk assessment using unmanned aerial vehicle. International Journal of Civil Engineering and Geo-Environmental, S. Pub . ISSN 2180-2742

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Official URL: https://ijceg.ump.edu.my/index.php/features1/47-sp...

Abstract

The concept of applying Unmanned Aerial Vehicles (UAV) with proper cameras in acquiring imagery data had been implied for many research and industry purposes in the recent years. This paper shows that the concept of using UAV and camera as a method of data collection of building inventory for seismic risk assessment. It is a part of the method of Rapid Visual Screening (RVS) survey in order to obtain the building inventory that includes the dimensions of building. The UAV used for this project is a high technology hexacopter that flies autonomously in order to obtain a constant data. The camera in the other hand is a high resolution digital compact camera with a Global Positioning System (GPS) built-in the camera for a more precise and accurate data collection of aerial images. The images then will be properly altered which the data acquisition will be used for analysis in a computer software. The case study for this research are buildings in the area of Universiti Teknologi Malaysia (UTM), Johor. The flexibility, safety, eases of operation, and relatively low-cost of ownership and operation make possible of UAV and digital compact camera to be implemented in data collection of building inventory for seismic risk assessment.

Item Type:Article
Uncontrolled Keywords:Unmanned Aerial Vehicles, Rapid Visual Screening, Seismic Risk Assessment
Subjects:T Technology > TA Engineering (General). Civil engineering (General)
Divisions:Civil Engineering
ID Code:80606
Deposited By: Fazli Masari
Deposited On:27 Jun 2019 06:10
Last Modified:27 Jun 2019 06:10

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