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dc.contributorEscuela de Ingenierias Industrial e Informaticaes_ES
dc.contributor.authorMartínez Gómez, Jesús
dc.contributor.authorGámez Martín, José Antonio
dc.contributor.authorGarcía Varea, Ismael
dc.contributor.authorMatellán Olivera, Vicente 
dc.contributor.otherArquitectura y Tecnologia de Computadoreses_ES
dc.date2010-10-15
dc.date.accessioned2012-11-13T09:51:58Z
dc.date.available2012-11-13T09:51:58Z
dc.date.issued2012-11-13
dc.identifier.citationLecture Notes in Computer Science, 2010es_ES
dc.identifier.urihttp://hdl.handle.net/10612/2006
dc.descriptionP. 1-12es_ES
dc.description.abstractThis 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 environmentes_ES
dc.languageenges_ES
dc.publisherSpringeres_ES
dc.subjectInformáticaes_ES
dc.subject.otherAlgoritmos genéticoses_ES
dc.subject.otherRoboCupes_ES
dc.subject.otherRobots móvileses_ES
dc.titleUsing genetic algorithms for real-time object detectiones_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.peerreviewedSIes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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