AUTONOMOUS DETECTION AND TRACKING OF AN OBJECT AUTONOMOUSLY USING AR.DRONE QUADCOPTER
Abstract: Nowadays, there are
many robotic applications being developed to do tasks autonomously without any
interactions or commands from human. Therefore, developing a system which
enables a robot to do surveillance such as detection and tracking of a moving
object will lead us to more advanced tasks carried out by robots in the future.
AR.Drone is a flying robot platform that is able to take role as UAV (Unmanned
Aerial Vehicle). Usage of computer vision algorithm such as Hough Transform
makes it possible for such system to be implemented on AR.Drone. In this
research, the developed algorithm is able to detect and track an object with
certain shape and color. Then the algorithm is successfully implemented on
AR.Drone quadcopter for detection and tracking.
Author: Futuhal Arifin, Ricky
Arifandi Daniel, Didit Widiyanto
Journal Code: jptkomputergg140004
