Affiliation:
1. University of Murcia, Spain
Abstract
In this chapter, the authors describe their vision system used in the Standard Platform League (SPL), one of the official leagues in RoboCup competition. The characteristics of SPL are very demanding, as all the processing must be done on board, and the changeable environment requires powerful methods for extracting information and robust filters. The purpose is to show a vision system that meets these goals. The chapter describes the architecture of the authors’ system as well as the flowchart of the image process, which is designed in such a manner that allows a rapid and reliable calibration. The authors deal with field features detection by finding intersections between field lines at frame rate, using a fuzzy-Markov localisation technique. Also, the methods implemented to recognise the ball and goals are explained.
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