Mohsen, Amani

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Mohsen, Amani
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  • Publication
    Analysis of the Performance of Four Filter Types for Drone Tracking
    (2023)
    Mohsen, Amani 
    ;
    Segrouchni, Amal El Fallah
    ;
    Barbaresco, Frederic
    ;
    Abu Zitar, Raed 
    In this work, extensive simulations are done to compare the performance of the 4 filter types; Linear Kalman filter (LKF), Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF), and Particle Filter (PF). A simple nearly constant velocity (NCV) motion model is used with a Gaussian noise measurement model. Simulations were done with different ground truths, different measurements covariance matrices, and different speeds of the drone. Stone soup software was used in the simulations. The analyses revealed informative results that gave us more understanding of the behavior of the four filters when a common type of motion model such as the NCV model is used.
      15
  • Publication
    Intensive Review of Drones Detection and Tracking: Linear Kalman Filter Versus Nonlinear Regression, an Analysis Case
    (2023)
    Abu Zitar, Raed 
    ;
    Mohsen, Amani 
    ;
    Seghrouchni, Amal ElFallah
    ;
    Barbaresco, Frederic
    ;
    Al-Dmour, Nidal A.
    In this paper, an extensive review for objects and drones (AUVs) detection and tracking is presented. The article presents state of the art methods used in detection and tracking of drones with adequate analysis and comparisons summarizing the findings of the most recent research material in that field. The most famous technique used in drones tracking is Kalman Filters (KFs) in its different forms. The paper presents analysis and comparisons for drones tracking based on Linear Kalman Filters (LKF) compared to tracking using Nonlinear Polynomial Regression (NPR) techniques. Interesting findings reflect the need for both methods at different circumstances depending on the noise conditions of the measurements. On the other hand, many new methods such as Artificial Intelligence (AI) based techniques are recently used in drones detection and recognition. Detection methods could come separate or combined with tracking techniques. The work presents broad and deep literature review with critical analysis of most famous methods used in drones detection and tracking.
      34Scopus© Citations 25