Rania Ashkar

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The work evaluates the performance of a custom-built shoe-mounted pedestrian indoor localization system based on commercially available low-cost inertial and magnetic sensors. This self-contained approach employs quaternions for attitude representation, whereas the estimation problem is formulated as a Kalman filter (KF) for INS strapdown mechanization(More)
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