Using genetic algorithms for real-time object detection

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Using genetic algorithms for real-time object detection

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Title: Using genetic algorithms for real-time object detection
Author: Martínez Gómez, Jesús;Gámez Martín, José Antonio;García Varea, Ismael;Matellán Olivera, Vicente
xmlui.dri2xhtml.METS-1.0.item-contributor: Escuela de Ingenierias Industrial e Informatica
xmlui.dri2xhtml.METS-1.0.item-area: Arquitectura y Tecnologia de Computadores
Abstract: This article presents a new approach to mobile robot vision systems based on genetic algorithms. The major contribution of the 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 the System is the robotic football competition Robocup whitin the Standard Platform category. 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 whitin an official Robocup environment
xmlui.dri2xhtml.METS-1.0.item-desfisica: P. 1-12
xmlui.dri2xhtml.METS-1.0.item-peerreviewed: SI
Publisher: Springer
xmlui.dri2xhtml.METS-1.0.item-citation: Lecture Notes in Computer Science, 2010
Date: 2010-10-15
xmlui.dri2xhtml.METS-1.0.item-tipo: info:eu-repo/semantics/article
Subject: Informática
xmlui.dri2xhtml.METS-1.0.item-palclave: Algoritmos genéticos
Robots móviles
xmlui.dri2xhtml.METS-1.0.item-accessRights: info:eu-repo/semantics/openAccess
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