Abstract:In order to enable an autonomous mobile robot to travel over rough terrain, it necessitates the capability to detect self-position accurately even when the odometry errors are increased in traveling. The conventional method can keep high speed and precise localization using iterative closest point algorithms or feature matching techniques.However, effects of steep changes of a mobile robot position are not considered when it travels over rough terrain. In this article, we propose the method for efficient realt… Show more
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