2015
Applying probabilistic Mixture Models to semantic place classification in mobile robotics
IROS 2015poster
In this paper a study is made of the problem of classifying scenarios, in terms of semantic categories, based on data gathered from sensors mounted on-board mobile robots operating indoors. Once the data are transformed to feature space, supervised classification is performed by a probabilistic appr…