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Our work presents a proposal for SLAM (Simultaneous Localization and Mapping) problem in dynamic environments. A method for robot self-localization is described. During operations in dynamic environments, only static landmarks are used. For this purpose, an outliers filter was designed. It separates static and mobile landmarks that are included in a set of neglectable marks. A modified particle filter...
Extended Kalman Filter (EKF) is a method widely used for noise treatment in robotics systems. It needs to perform several computational operations such as matrix multiplication, matrix inversions and Jacobians. In Fast SLAM, a solution for SLAM (Simultaneous Localization and Mapping) problem, EKF is utilized for landmarks updates. SLAM should be solved in real time. Artificial neural networks can...
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