A pan-tilt camera Fuzzy vision controller on an unmanned aerial vehicle

Miguel A. Olivares-Méndez, Pascual Campoy, Carol Martínez, Iván Mondragón

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20 Citas (Scopus)

Resumen

This paper presents an implementation of two Fuzzy Logic controllers working in parallel for a pan-tilt camera platform on an UAV. This implementation uses a basic Lucas-Kanade tracker algorithm, which sends information about the error between the center of the object to track and the center of the image, to the Fuzzy controller. This information is enough for the controller to follow the object by moving a two axis servo-platform, regardless the UAV vibrations and movements. The two Fuzzy controllers for each axis, work with a rules-base of 49 rules, two inputs and one output with a more significant sector defined to improve the behavior of those controllers. The controllers have shown very good performances in real flights for statics objects, tested on the Colibri prototypes.

Idioma originalInglés
Título de la publicación alojada2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009
Páginas2879-2884
Número de páginas6
DOI
EstadoPublicada - 11 dic. 2009
Publicado de forma externa
Evento2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009 - St. Louis, MO, Estados Unidos
Duración: 11 oct. 200915 oct. 2009

Serie de la publicación

Nombre2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009

Conferencia

Conferencia2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009
País/TerritorioEstados Unidos
CiudadSt. Louis, MO
Período11/10/0915/10/09

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