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Estimación de pose por filtrado complementario de marcadores y odometría

Accurate estimation of rigid object pose is a fundamental requirement in vision-based robotic. In eye-in-hand configurations, estimates obtained through Perspective-n-Point (PnP) from visual markers exhibit frame-to-frame noise.  We propose a recursive method that combines visual observations of ArUco markers with the...