Anzeige
Erschienen in:
2013 | OriginalPaper | Buchkapitel
Advanced Perception for Robots in a Closed World Environment
verfasst von : Mahmoud El Shaikh, Andreas Koch, Bernd Eckstein, Kai Häussermann, Oliver Zweigle, Paul Levi
Erschienen in: Intelligent Autonomous Systems 12
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
A basic requirement for all mobile robots is a precise, accurate and fast perception of the environment to allow intelligent behavior through interaction with its surrounding. This paper introduces a new method for a reliable, fast and efficient purely omni-directional vision based mobile robot navigation for a closed world environment. The proposed method enables a robot that is driving at a high-speed to detect and classify different objects of different colors by only calibrating one dominant environment color. The correctness and the effectiveness of the introduced approach was evaluated successfully in the highly dynamical RoboCup Middle Size Soccer scenario.