Paper published in a book (Scientific congresses, symposiums and conference proceedings)
Vision Based Fuzzy Control Approaches for Unmanned Aerial Vehicles
Olivares Mendez, Miguel Angel; Campoy, Pascual
2015 • In 16th World Congress of the International Fuzzy Systems Association (IFSA) 9th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT)
[en] This paper proposed the use of vision based Fuzzy
control approaches for autonomous navigation tasks
with Unmanned Aerial Vehicles (UAVs). It is shown
the advantages of using RGB cameras as the sensor
onboard UAVs and the advantages of using Fuzzy
logic controllers. It is explained how to set a vision
based system and how to define a Fuzzy controller
for a general control approach. A specific
software was design and used to develop and tune
general Fuzzy control approaches. The “how-to”
of this software is also explained in this paper. A
methodology to how to design, developed and tune
Vision based Fuzzy Control (VBFC) approaches in
robotics is also presented. Furthermore, it is shown
three different VBFC approaches for autonomous
navigation developed using this methodology and
software. Real experiments were done to validate
the different approaches with different vertical takeoff
and landing (VTOL) UAVs.
Disciplines :
Aerospace & aeronautics engineering
Author, co-author :
Olivares Mendez, Miguel Angel ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Campoy, Pascual; Universidad Politecnica de Madrid > Computer Vision Group
External co-authors :
yes
Language :
English
Title :
Vision Based Fuzzy Control Approaches for Unmanned Aerial Vehicles
Publication date :
July 2015
Event name :
16th World Congress of the International Fuzzy Systems Association (IFSA) 9th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT)
Event date :
30-06-2015 to 3-07-2015
Audience :
International
Main work title :
16th World Congress of the International Fuzzy Systems Association (IFSA) 9th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT)