Authors:
António J. R. Neves
;
Fred Gomes
;
Paulo Dias
and
Alina Trifan
Affiliation:
Universidade de Aveiro, Portugal
Keyword(s):
Ground Truth, Robotic Vision, Robotic Soccer, Monitoring System.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Data Engineering
;
Information Retrieval
;
Object Recognition
;
Ontologies and the Semantic Web
;
Pattern Recognition
;
Perception
;
Robotics
;
Software Engineering
Abstract:
Robotic soccer represents an innovative and appealing test bed for the most recent advances in multi-agent
systems, artificial intelligence, perception and navigation and biped walking. The main sensorial element of
a soccer robot must be its perception system, most of the times based on a digital camera, through which the
robot analyses the surrounding world and performs accordingly. Up to this date, the validation of the vision
system of a soccer robots can only be related to the way the robot and its team mates interpret the surroundings,
relative to their owns. In this paper we propose an external monitoring vision system that can act as a ground
truth system for the validations of the objects of interest of a robotic soccer game, mainly robots and ball. The
system we present is made of two to four digital cameras, strategically positioned above the soccer field. We
present preliminary results regarding the accuracy of the detection of a soccer ball, which proves that such a
syst
em can indeed be used as a provider for ground truth ball positions on the field during a robotic soccer
game.
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