Using genetic algorithms for real-time object detection

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Using genetic algorithms for real-time object detection

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dc.contributor Escuela de Ingenierias Industrial e Informatica es_ES
dc.contributor.author Martínez Gómez, Jesús
dc.contributor.author Gámez Martín, José Antonio
dc.contributor.author García Varea, Ismael
dc.contributor.author Matellán Olivera, Vicente
dc.contributor.other Arquitectura y Tecnologia de Computadores es_ES
dc.date 2010-10-15
dc.date.accessioned 2012-11-13T09:51:58Z
dc.date.available 2012-11-13T09:51:58Z
dc.date.issued 2012-11-13
dc.identifier.citation Lecture Notes in Computer Science, 2010 es_ES
dc.identifier.uri http://hdl.handle.net/10612/2006
dc.description P. 1-12 es_ES
dc.description.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 es_ES
dc.language eng es_ES
dc.publisher Springer es_ES
dc.subject Informática es_ES
dc.subject.other Algoritmos genéticos es_ES
dc.subject.other RoboCup es_ES
dc.subject.other Robots móviles es_ES
dc.title Using genetic algorithms for real-time object detection es_ES
dc.type info:eu-repo/semantics/article es_ES
dc.description.peerreviewed SI es_ES
dc.rights.accessRights info:eu-repo/semantics/openAccess es_ES

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