Detection and Implementation Autonomous Target Tracking with a Quadrotor AR.Drone

K. Boudjit, C. Larbes

2015

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, then the Algorithm Is Successfully Implemented on AR.Drone Quadcopter for Detection and Tracking.

References

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Paper Citation


in Harvard Style

Boudjit K. and Larbes C. (2015). Detection and Implementation Autonomous Target Tracking with a Quadrotor AR.Drone . In Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-123-6, pages 223-230. DOI: 10.5220/0005523102230230


in Bibtex Style

@conference{icinco15,
author={K. Boudjit and C. Larbes},
title={Detection and Implementation Autonomous Target Tracking with a Quadrotor AR.Drone},
booktitle={Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2015},
pages={223-230},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005523102230230},
isbn={978-989-758-123-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - Detection and Implementation Autonomous Target Tracking with a Quadrotor AR.Drone
SN - 978-989-758-123-6
AU - Boudjit K.
AU - Larbes C.
PY - 2015
SP - 223
EP - 230
DO - 10.5220/0005523102230230