Tobias Einsele

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This paper deals with self-localization of a mobile robot on the condition that no a-priori knowledge about the environment is available. The applied method features to be accurate , robust, independent of any artificial landmarks and feasible with such a moderate computational effort that all necessary tasks can be executed in real-time on a standard PC.(More)
  • Tobias Einsele, Univ Nat M Lang Prüfer Der Dissertation, Univ, Ing G Färber, Ing, G Ruske
  • 2002
This work presents a self-localization system suited for robots roaming in everyday indoor environments such as offices or residential buildings. Thus, it has to cope with environments that are typically not a priori modelled or in any way specially prepared, but are places where people move around and objects change position from time to time. The proposed(More)
We present an object recognition system that identifies objects by their silhouette from single views of a greyscale camera. The centroidal profile describing the object boundary is matched with boundaries from a model base using a dynamic programming technique. Objects are modelled by a multi-view representation which can either be learned from a set of(More)
Gehört zum Antragsabschnitt: TP3 Spracherkennung und Sprecheradaption Das diesem Bericht zugrundeliegende Forschungsvorhaben wurde mit Mitteln des Bundesministeriums für Forschung und Technologie unter dem Förderkenn-zeichen 01 IV 102 C/6 gefördert. Die Verantwortung für den Inhalt dieser Arbeit liegt bei den Autoren. ABSTRACT The paper presents a(More)
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