Global Journal of Information Technology: Emerging Technologies

Global Journal of Information Technology: Emerging Technologies

Moving target trajectory estimation using Kalman, curve fitting and Anfis methods

Yazarlar: Timur İnan

Cilt 5 , Sayı 1 , 2015 , Sayfalar 25-40

Konular:

DOI:10.18844/gjit.v0i0

Anahtar Kelimeler:Robotics,Image processing,Trajectory tracking,Target tracking,Estimation,Anfis,Kalman,Curve fitting.

Özet: Estimation of the possible position of the moving targets after a few steps has great significance especially in terms of defense industry. If a shoot aiming at the target is planned, the issue of estimation of forward position of the target gains importance in terms of accurate strike of the bullet at the target. In target tracking, impact of three different methods as motion estimation method on various motion types has been examined in our study. Motion types have been examined in four different types, which are rectilinear motion, circular motion, sinusoidal motion and curvilinear motion.  On the other hand, estimation methods have been examined under three different titles. These are Kalman estimation method, curve fitting method and Anfis method. Different motion types have been examined with different estimation methods and the results obtained have been presented. 


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BibTex
KOPYALA
@article{2015, title={Moving target trajectory estimation using Kalman, curve fitting and Anfis methods}, volume={5}, number={25–40}, publisher={Global Journal of Information Technology: Emerging Technologies}, author={Timur İnan}, year={2015} }
APA
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Timur İnan. (2015). Moving target trajectory estimation using Kalman, curve fitting and Anfis methods (Vol. 5). Vol. 5. Global Journal of Information Technology: Emerging Technologies.
MLA
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Timur İnan. Moving Target Trajectory Estimation Using Kalman, Curve Fitting and Anfis Methods. no. 25–40, Global Journal of Information Technology: Emerging Technologies, 2015.