Reducing Human Effort of the Optical Tracking of Anti-Tank Guided Missile Targets via Embedded Tracking System Design
American Journal of Artificial Intelligence
Volume 2, Issue 2, December 2018, Pages: 30-35
Received: Sep. 23, 2018; Accepted: Oct. 8, 2018; Published: Nov. 7, 2018
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Authors
Bahaaeldin Gamal Abdelaty, Electrical Engineering Department, Technical Research Center, Cairo, Egypt
Mohamed Abdallah Soliman, Electrical Engineering Department, Technical Research Center, Cairo, Egypt
Ahmed Nasr Ouda, Electrical Engineering Department, Technical Research Center, Cairo, Egypt
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Abstract
Human role reduction in the firing process in the physical military systems is the way to improve the overall system performance and achieve the requirement of operation, especially for the anti-tank guided missile (ATGM). In the second-generation ATGM system, the human operator is responsible for following the target until the missile clash the target (Manual Target Tracking). Achieving an acceptable flight trajectory with getting a minimum miss distance, which is a distance between the center of the target and the impact point, is the factor that used to measure the ATGM performance. This paper is dedicated to designing and implementation of an embedded tracking system capable of dealing with the slow-moving objects, which is carried out as a step to reduce the human operator role during the operation, in addition, upgrade the second-generation anti-tank guided missile system to third generation ATGM system (Automatic target tracking). The present work seeks to take benefits of a System on Chip (SoC) technology, including embedded Linux systems, in the real-time computer vision applications. The nonlinear flight simulation model of the intended missile system is presented in a MATLAB environment. The tracking algorithm is described using Python programing language with the aid of OpenCV library and implemented based on embedded Raspberry Pi system (RPI). Hardware-in-Loop experimental test is carried out to evaluate and validate the methodology of the proposed work to achieve the overall system requirement with an acceptable flight trajectory and minimum miss-distance.
Keywords
Raspberry Pi, Guided Missile, Hardware-in-The Loop, Tracking Algorithm, Computer Vision
To cite this article
Bahaaeldin Gamal Abdelaty, Mohamed Abdallah Soliman, Ahmed Nasr Ouda, Reducing Human Effort of the Optical Tracking of Anti-Tank Guided Missile Targets via Embedded Tracking System Design, American Journal of Artificial Intelligence. Vol. 2, No. 2, 2018, pp. 30-35. doi: 10.11648/j.ajai.20180202.13
Copyright
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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