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Reseach Article

Attitude Determination of Unmanned Aerial Vehicle using Single Camera Vector Observations

by Angel Vladimirov, Saso Koceski
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 178 - Number 41
Year of Publication: 2019
Authors: Angel Vladimirov, Saso Koceski
10.5120/ijca2019919296

Angel Vladimirov, Saso Koceski . Attitude Determination of Unmanned Aerial Vehicle using Single Camera Vector Observations. International Journal of Computer Applications. 178, 41 ( Aug 2019), 15-21. DOI=10.5120/ijca2019919296

@article{ 10.5120/ijca2019919296,
author = { Angel Vladimirov, Saso Koceski },
title = { Attitude Determination of Unmanned Aerial Vehicle using Single Camera Vector Observations },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2019 },
volume = { 178 },
number = { 41 },
month = { Aug },
year = { 2019 },
issn = { 0975-8887 },
pages = { 15-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume178/number41/30808-2019919296/ },
doi = { 10.5120/ijca2019919296 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:52:46.724011+05:30
%A Angel Vladimirov
%A Saso Koceski
%T Attitude Determination of Unmanned Aerial Vehicle using Single Camera Vector Observations
%J International Journal of Computer Applications
%@ 0975-8887
%V 178
%N 41
%P 15-21
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Technological development in the fields of electrical and mechanical engineering as well as computer and communication sciences in the last decade, have dramatically increased the popularity and fields of application of Unmanned Aerial Vehicles (UAVs). Despite the technological advancements, there are still very important challenges related to the operation of UAVs. One of the main challenging task for UAVs is to accurately determine their attitude during the flight, using the onboard sensors. This paper presents a framework for attitude determination of an UAV from single camera vector observations in a known environment. The framework has been experimentally evaluated. The results from the conducted evaluation suggest that the proposed method is appropriate and that it can be used in the control process.

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Index Terms

Computer Science
Information Sciences

Keywords

Attitude estimation Unmanned Aerial Vehicle Camera vector Gauss-Newton Levenberg-Markart.