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• W2077618146 abstract "The unstructured scenario, the extraction of significant features, the imprecision of sensors along with the impossibility of using GPS signals are some of the challenges encountered in underwater environments. Given this adverse context, the Simultaneous Localization and Mapping techniques (SLAM) attempt to localize the robot in an efficient way in an unknown underwater environment while, at the same time, generate a representative model of the environment. In this paper, we focus on key topics related to SLAM applications in underwater environments. Moreover, a review of major studies in the literature and proposed solutions for addressing the problem are presented. Given the limitations of probabilistic approaches, a new alternative based on a bio-inspired model is highlighted." @default.
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• W2077618146 date "2014-08-01" @default.
• W2077618146 modified "2023-10-02" @default.
• W2077618146 title "Underwater SLAM: Challenges, state of the art, algorithms and a new biologically-inspired approach" @default.
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• W2077618146 doi "https://doi.org/10.1109/biorob.2014.6913908" @default.
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