Using genetic algorithms for real-time object detection

Authors:
J. Martínez-Gómez;J. A. Gámez;I. García-Varea;V. Matellán
Affiliations:
Computing Systems Department, University of Castilla-La Mancha, Spain;Computing Systems Department, University of Castilla-La Mancha, Spain;Computing Systems Department, University of Castilla-La Mancha, Spain;Dept. of Mechanical and Computer Engineering, University of León, Spain
Venue:
RoboCup 2009
Year:
2010

Citing 4
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Abstract

This article presents a new approach to mobile robot vision based on genetic algorithms. The major contribution of this proposal is the real-time adaptation of genetic algorithms, which are generally used offline. In order to achieve this goal, the execution time must be as short as possible. The scope of this system is the Standard Platform category of the RoboCup soccer competition. The system developed detects and estimates distance and orientation to key elements on a football field, such as the ball and goals. Different experiments have been carried out within an official RoboCup environment.