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Autonomous mobile robots should be capable to learn and maintain visual models of their environments. Maps are needed for path-planning, self-localization, and human-robot interaction. In contrary, stereo-vision based mobile robot navigation has always been a challenge. This is due to complexity of integrating massive amount of visual information gathered by visual system, while undergoing a motion.
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