NeoSLAM: Long-Term SLAM Using Computational Models of the Brain
Carlos Alexandre Pontes Pizzino,
Ramon Romankevicius Costa,
Daniel Mitchell
et al.
Abstract:Simultaneous Localization and Mapping (SLAM) is a fundamental problem in the field of robotics, enabling autonomous robots to navigate and create maps of unknown environments. Nevertheless, the SLAM methods that use cameras face problems in maintaining accurate localization over extended periods across various challenging conditions and scenarios. Following advances in neuroscience, we propose NeoSLAM, a novel long-term visual SLAM, which uses computational models of the brain to deal with this problem. Inspir… Show more
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