| Título: | Recognition of standard platform RoboCup goals |
| Autores: |
Cañas Plaza, José María Perdices García, Eduardo González Sánchez, Tomás Puig Valls, Domenec |
| Fecha: |
2010-02-11 2010-02-11 2010-01 |
| Publicador: | RUA Docencia |
| Fuente: |
 |
| Tipo: | info:eu-repo/semantics/article |
| Tema: |
RoboCup and soccer robots Artificial vision and robotics Nao humanoid Goal detection Color segmentation 3D geometry Ciencia de la Computación e Inteligencia Artificial |
| Descripción: |
RoboCup provides a common research framework where a wide range of problems closely related to robotics and artificial intelligence must be addressed. The main focus of the RoboCup activities is competitive soccer. Thus, the visual identification of players and play-field components is a necessary task to be performed. In particular, goals are some of the key elements that should be identified by each player (robot). In this way, this paper introduces a fast and robust methodology based on Artificial Vision techniques for the recognition of the goals utilized in the RoboCup Standard Platform League. First, 2D images captured by the front camera mounted in the head of a Nao robot are used to recognize the goals through a color based geometrical segmentation method. Afterwards, the position of the robot with respect to the goal is calculated exploiting 3D geometric properties. The proposed system is validated with real images corresponding to the RoboCup2009 competition. This work has been partially funded by projects RoboCity2030 (ref.S-0505/DPI/0176) of the Comunidad de Madrid, and by the Spanish Ministries of Education and Science under projects DPI2007-66556-C03-03 and DPI2007-66556-C03-01. |
| Idioma: | Inglés |
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