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within Conference Paper Remove this filter Óscar Martínez Mozos Remove this filter Artificial Intelligence Remove this filter

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    Chapter and Conference Paper

    Collective Classification for Labeling of Places and Objects in 2D and 3D Range Data

    In this paper, we present an algorithm to identify types of places and objects from 2D and 3D laser range data obtained in indoor environments. Our approach is a combination of a collective classification meth...

    Rudolph Triebel, Óscar Martínez Mozos… in Data Analysis, Machine Learning and Applic… (2008)

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    Chapter and Conference Paper

    Interest Point Detectors for Visual SLAM

    In this paper we present several interest points detectors and we analyze their suitability when used as landmark extractors for vision-based simultaneous localization and map** (vSLAM). For this purpose, we...

    Óscar Martínez Mozos, Arturo Gil… in Current Topics in Artificial Intelligence (2007)

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    Chapter and Conference Paper

    Using AdaBoost for Place Labeling and Topological Map Building

    Indoor environments can typically be divided into places with different functionalities like corridors, kitchens, offices, or seminar rooms. We believe that the ability to learn such semantic categories from s...

    Óscar Martínez Mozos, Cyrill Stachniss, Axel Rottmann, Wolfram Burgard in Robotics Research (2007)