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The concept of probabilistic occupancy maps was introduced by the end of the 1980s. Over the years, research has focused on the definition of the representation, the data fusion, and the generation of such occupancy models. However, few considerations have been given to processing occupancy maps as textured images to extract meaningful information that is required for robot navigation. This paper...
The concepts of occupancy grids and probabilistic maps were introduced at the end of the eighties. Since then, research work focused mainly on the definition of the representation, data fusion and generation of occupancy models. Few consideration has been given to processing occupancy maps as textured images in order to extract meaningful information required for robot navigation and control of interactions...
This paper presents a novel method for the segmentation of probabilistic two-dimensional occupancy maps, based on the analysis of their texture characteristics. The texture is represented by means of a double distribution of "local binary pattern" and "contrast". The logarithmic likelihood ratio, G-statistic, is used to measure the degree of similarity between different regions;...
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