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- W49670941 abstract "Simultaneous localization and mapping (SLAM) problem helps a mobile robot in identifying its own position by providing an autonomously built map. This work proposes a software and hardware approach for online mobile robotic systems, which is capable of performing SLAM. The mapping of unknown environment with low-cost sensors, incorporating probabilistic method, is the highlight of this work. The hardware system comprises of a multisensor mobile robot developed on the ARM Cortex platform. The software part mainly incorporates pose graph data structure blended with mixture model, which is further optimized by stochastic gradient descent method" @default.
- W49670941 created "2016-06-24" @default.
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- W49670941 date "2014-08-26" @default.
- W49670941 modified "2023-09-22" @default.
- W49670941 title "A Probabilistic Method Toward SLAM for Mobile Robotic Systems" @default.
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- W49670941 doi "https://doi.org/10.1007/978-81-322-2012-1_30" @default.
- W49670941 hasPublicationYear "2014" @default.
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