Hasan Ihsan Turhan

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In this study, a new methodology for combining probability masses from different sources is proposed for Dempster-Shafer theory. Unlike the existing works in the literature, this methodology treats the combination problem as an optimization problem and proposes an objective function that uses conflict and entropy measures to solve this problem. The proposed(More)
In this paper, proxy based - fuzzy sliding mode control (PB-FSMC) concept and application of this new concept on wheeled mobile robot (WMR) Magellan Pro are presented. Kinematic and dynamic models of wheeled mobile robot are given and controller design for these models are developed and explained in detail. In order to examine feasibility and validity of(More)
This study proposes a multi-dimensional Hough transform algorithm that is improved from by detecting weak targets in the high clutter. In the proposed algorithm execution time is reduced by eliminating the measurements considering speed and SNR values before the Hough transform. The skor-based track confirmation algorithm proposed is improved and tracks(More)
In this work, a new methodology is proposed for probability mass assignment to be used in Dempster-Shafer approach. The approach is developed for the cases where the prior and the current information are represented by probability density functions. Masses are assigned by comparing the prior and the current probability density functions which are assumed to(More)
In this paper, classification of air vehicles according to their types is studied. Dempster-Shafer theory is utilized for this purpose. The target tracker data and radar cross section data are used for obtaining the instantaneous probability masses by comparing them with the prior information. Final decision is made by combining the instantaneous(More)
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