Alel, Mohd. Nur Asmawisham and Mohamad, Edy Tonnizam and Abdullah, Rini Asnida and Abd. Rahman, Mohd. Mirza and Md. Arshad, Muhamad Asyraaf (2016) Building inventory for seismic risk assessment using unmanned aerial vehicle. In: 10TH International Conference on Geotechnical and Transportation Engineering (GEOTROPIKA 2016), 17-18 Feb, 2016, Kuala Lumpur, Malaysia.
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Official URL: http://civil.utm.my/geotropika2016/
Abstract
The concept of applying Unmanned Aerial Vehicles (UAVs) 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 UAVs and digital compact camera to be implemented in data collection of building inventory for seismic risk assessment.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | RADIS System Ref No:PB/2016/09982 |
Uncontrolled Keywords: | unmanned aerial vehicles, seismic risk assessment |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
Divisions: | Advanced Informatics School |
ID Code: | 67078 |
Deposited By: | Siti Nor Hashidah Zakaria |
Deposited On: | 25 Aug 2017 06:30 |
Last Modified: | 25 Aug 2017 06:30 |
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