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

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.

I Introduction

Unmanned Aerial Vehicle (UAV) is an aircraft that can maneuver without a human pilot on board. There has been tremendous progress on development of UAV for various purposes. One example is development of UAV for military operation which is operated in urban terrain [1]. Other example is development of UAV for surveillance purpose to gather civilian air traffic and national air space information [2].