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- W2154201899 abstract "In this paper a system for extracting semantic information in indoor and outdoor environment from 3D laser scanner is presented. The largest objects (like walls, floor, ceiling, etc.) are recognized by constructing an RGB image based on normal vectors and applying a simple rule-based system. More sophisticated techniques are used to detect the remaining ones: H aar-like features — to classify small and irregular objects, and Cellular Neural Networks — to distinguish between different types of ground on which the robot is able to operate." @default.
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- W2154201899 date "2010-01-01" @default.
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- W2154201899 title "Extraction of Semantic Information from the 3D Laser Range Finder" @default.
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- W2154201899 doi "https://doi.org/10.1007/978-3-7091-0277-0_45" @default.
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