Browsing by Subject "Classification"

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  • Höhn, O.; Gerth, W. (London : SAGE Publications Ltd., 2009)
    In this paper, a probability-based balance monitoring concept for humanoid robots is proposed. Two algorithms are presented that allow us to distinguish between exceptional situations and normal operations. The first ...
  • Becker, Christian; Breitkopf, Uwe; Büschenfeld, Torsten; Busch, A.; Grünreich, D.; Heipke, Christian; Helmholz, Petra; Müller, S.; Ostermann, Jörn; Pahl, M.; Vogt, Karsten; Ziems, M. (London : International Society for Photogrammetry and Remote Sensing, 2010)
    The usefulness and acceptance of spatial information systems are mainly dependent on the quality of the underlying geodata. This paper describes a system for semiautomatic quality control of existing geospatial data via ...
  • Kosov, Sergej; Rottensteiner, Franz; Heipke, Christian; Leitloff, Jens; Hinz, Stefan (Göttingen : Copernicus GmbH, 2013)
    The precise classification and reconstruction of crossroads from multiple aerial images is a challenging problem in remote sensing. We apply the Conditional Random Fields (CRF) approach to this problem, a probabilistic ...
  • Schlichting, Alexander; Brenner, Claus (Göttingen : Copernicus GmbH, 2016)
    LiDAR sensors are proven sensors for accurate vehicle localization. Instead of detecting and matching features in the LiDAR data, we want to use the entire information provided by the scanners. As dynamic objects, like ...