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Towards constructing and using selforganizing visual environment representations for mobile robots

Wichert, Georg von ; Tolle, Henning (1998)
Towards constructing and using selforganizing visual environment representations for mobile robots.
In: IFAC Proceedings Volumes, 31 (3)
doi: 10.1016/S1474-6670(17)44116-4
Artikel, Bibliographie

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Kurzbeschreibung (Abstract)

Due to the upcoming applications in the field of service robotics mobile robots are currently receiving increasing attention in industry and the scientific community. Applications in the area of service robotics demand a high degree of system autonomy, which robots without learning capabilities will not be able to meet. Learning is required in the context of action models and appropriate perception procedures. Both are extremely difficult to acquire especially with high bandwidth sensors (e.g. video cameras) which are needed in the envisioned unstructured worlds. Selflocalization is a basic requirement for mobile robots. This paper therefore proposes a new methodology for image based selflocalization using a selforganized visual representation of the environment. It allows for the seamless integration of active and passive localization.

Typ des Eintrags: Artikel
Erschienen: 1998
Autor(en): Wichert, Georg von ; Tolle, Henning
Art des Eintrags: Bibliographie
Titel: Towards constructing and using selforganizing visual environment representations for mobile robots
Sprache: Englisch
Publikationsjahr: 1998
Verlag: IFAC - International Federation of Automatic Control
Titel der Zeitschrift, Zeitung oder Schriftenreihe: IFAC Proceedings Volumes
Jahrgang/Volume einer Zeitschrift: 31
(Heft-)Nummer: 3
Veranstaltungsdatum: 25.03.1998-27.03.1998
DOI: 10.1016/S1474-6670(17)44116-4
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Kurzbeschreibung (Abstract):

Due to the upcoming applications in the field of service robotics mobile robots are currently receiving increasing attention in industry and the scientific community. Applications in the area of service robotics demand a high degree of system autonomy, which robots without learning capabilities will not be able to meet. Learning is required in the context of action models and appropriate perception procedures. Both are extremely difficult to acquire especially with high bandwidth sensors (e.g. video cameras) which are needed in the envisioned unstructured worlds. Selflocalization is a basic requirement for mobile robots. This paper therefore proposes a new methodology for image based selflocalization using a selforganized visual representation of the environment. It allows for the seamless integration of active and passive localization.

Freie Schlagworte: Mobile robots, Navigation, Vision, Scene analysis, Selforganizing systems
Zusätzliche Informationen:

Zugl. Konferenzveröffentlichung: 3rd IFAC Symposium on Intelligent Autonomous Vehicles (IAV'98), 25.-27.03.1998, Madrid, Spain

Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Automatisierungstechnik und Mechatronik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Automatisierungstechnik und Mechatronik > Regelungsmethoden und Robotik (ab 01.08.2022 umbenannt in Regelungsmethoden und Intelligente Systeme)
Hinterlegungsdatum: 19 Nov 2008 16:19
Letzte Änderung: 31 Jul 2024 10:39
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