Simulation of intelligent Unmanned Aerial Vehicle (UAV) For military surveillance

Author

Ma´sum, M. Anwar ; Arrofi, M. Kholid ; Jati, Grafika ; Arifin, Farhadur ; Kurniawan, M. Nanda ; Mursanto, Petrus ; Jatmiko, Wisnu

Author_Institution

Fac. of Comput. Sci., Univ. Indonesia, Depok, Indonesia

fYear

2013

fDate

28-29 Sept. 2013

Firstpage

161

Lastpage

166

Abstract

Nowadays, Unmanned Aerial Vehicle (UAV) is an important technology for military and security application. Various missions can be done using UAV such as surveillance in unknown areas, forestry conservation, and spying enemy territory. Application which is developed in this research has a purpose to simulate condition in war zone for spying the enemy. Platform used in the experiment is Parrot AR. Drone ver.2.0, an mini quadrotor which was developed by Parrot SA. This quadrotor controlled by Robot Operating System (ROS) framework. The quadrotor will search and recognize some objects and locate their location. Many algorithms were used to do the mission. To recognize object Adaboost Classifier and Pinhole Algorithm were used. The result shows that average error for all scenario is only 0.24 meters.

Keywords

autonomous aerial vehicles; image classification; learning (artificial intelligence); military aircraft; object recognition; operating systems (computers); surveillance; Adaboost classifier; Parrot AR.Drone ver.2.0; Parrot SA; ROS framework; UAV simulation; enemy territory spying; intelligent unmanned aerial vehicle simulation; military surveillance; mini quadrotor; object recognition; pinhole algorithm; robot operating system framework; security application; war zone; Cameras; Classification algorithms; Object detection; Robot kinematics; Robot sensing systems; Surveillance;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computer Science and Information Systems (ICACSIS), 2013 International Conference on

Conference_Location

Bali

Type

conf

DOI

10.1109/ICACSIS.2013.6761569

Filename

6761569