Vision-based estimation of altitude from aerial images

Alharazi, Rayan and Ahmad, Muhammad and Htike@Muhammad Yusof, Zaw Zaw and Nyein Naing, Wai Yan (2015) Vision-based estimation of altitude from aerial images. In: International Postgraduate Conference on Engineering Research (IPCER) 2015, 27-28 Oct 2015, Gombak.

	PDF Restricted to Registered users only Download (1MB) | Request a copy
Preview	PDF Download (444kB) | Preview
Preview	PDF Download (1MB) | Preview

Abstract

One of the wide engineering fields is aircraft technologies and one of the most common needs for Airplane or UAV is estimating the altitude, which is some time difficult to estimate due to weather fluctuations and instability of the main parameters like pressure and speed. However, a combination of different sensors has been used to estimate altitude to guarantee an accurate reading and it is the method used these days. To overcome this problem is to use more capable technology such as machine vision based system to estimate the altitude, as advantages light weight, intelligence and accuracy, cheaper than commercial sensors as well as, computationally inexpensive. In this paper, we propose a vision-based system that can perform altitude estimation from aerial images. The satisfactory experimental results demonstrate the effectiveness of the proposed system.

Item Type:	Conference or Workshop Item (Invited Papers)
Additional Information:	6919/48002
Uncontrolled Keywords:	Altitude estimation, aerial images
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering
Depositing User:	Mr. Zaw Zaw Htike
Date Deposited:	22 Jan 2016 15:16
Last Modified:	26 Sep 2017 18:23
URI:	http://irep.iium.edu.my/id/eprint/48002

Actions (login required)

View Item