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

  • Technical University of Madrid

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

20 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009
Pages2879-2884
Number of pages6
DOIs
StatePublished - 11 Dec 2009
Externally publishedYes
Event2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009 - St. Louis, MO, United States
Duration: 11 Oct 200915 Oct 2009

Publication series

Name2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009

Conference

Conference2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009
Country/TerritoryUnited States
CitySt. Louis, MO
Period11/10/0915/10/09

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