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In this paper, a novel computation method named MMK (Multi-sensory Markov-Kalman) localization, is proposed for self-localization of mobile robots in polygonal environments. The method combines multimodal robust Markov localization and unimodal efficient KF method, and is much improved by utilizing multi-sensory information. The localization process requires less memory and lower resolution discretization...
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