Accurate estimation of self-position is indispensable for autonomous mobile robots. Map-matching-based self-positioning is one of the promising methods; however, adequate matching area selection is an issue to be solved. In this paper, we propose an adjustable map matching method that remedies a defect of the conventional template matching technology. The proposed method was evaluated experimentally, and the results verified the advantages of the proposed method.
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