ANN design and implementation for real-time object tracking using quadrotor AR.Drone 2.0

Kamel Boufjit, Cherif Larbes, Naeem Ramzan

Research output: Contribution to journalArticle

Abstract

This paper aims to use a visual-based control mechanism to control a quadrotor, which is in pursuit of a target. The non-linear nature of a quadrotor, on one hand, and the difficulty of obtaining an exact model for it, on the other hand, constitute two serious challenges in designing a controller for this UAV. A potential solution for such problems is the use of intelligent control methods such as those that rely on ANNs. A novel technique based on ANNs is proposed in this work for the identification and tracking of targets. Multilayer perceptron is used for this purpose. Experimental results and simulations are shown to demonstrate the feasibility of the proposed method for target tracking.
Original languageEnglish
Pages (from-to)1013-1035
Number of pages23
JournalJournal of Experimental & Theoretical Artificial Intelligence
Volume30
Issue number6
Early online date30 Aug 2018
DOIs
Publication statusE-pub ahead of print - 30 Aug 2018

Fingerprint

Object Tracking
Real-time
Target
Intelligent Control
Intelligent control
Target Tracking
Pursuit
Multilayer neural networks
Unmanned aerial vehicles (UAV)
Perceptron
Target tracking
Multilayer
Controller
Controllers
Experimental Results
Demonstrate
Simulation
Design
Drones
Model

Keywords

  • Artificial intelligence
  • intelligent systems
  • Command and control systems
  • Image recognition

Cite this

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abstract = "This paper aims to use a visual-based control mechanism to control a quadrotor, which is in pursuit of a target. The non-linear nature of a quadrotor, on one hand, and the difficulty of obtaining an exact model for it, on the other hand, constitute two serious challenges in designing a controller for this UAV. A potential solution for such problems is the use of intelligent control methods such as those that rely on ANNs. A novel technique based on ANNs is proposed in this work for the identification and tracking of targets. Multilayer perceptron is used for this purpose. Experimental results and simulations are shown to demonstrate the feasibility of the proposed method for target tracking.",
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ANN design and implementation for real-time object tracking using quadrotor AR.Drone 2.0. / Boufjit, Kamel; Larbes, Cherif; Ramzan, Naeem.

In: Journal of Experimental & Theoretical Artificial Intelligence, Vol. 30, No. 6, 30.08.2018, p. 1013-1035.

Research output: Contribution to journalArticle

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