Vision Based Fuzzy Control Approaches for Unmanned Aerial Vehicles

DOI

10.2991/ifsa-eusflat-15.2015.101How to use a DOI?

Keywords

Fuzzy logic control, computer vision, vision based control, unmanned aerial vehicles, autonomous navigation.

Abstract

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Miguel A. Olivares-Mendez
AU  - Pascual Campoy
PY  - 2015/06
DA  - 2015/06
TI  - Vision Based Fuzzy Control Approaches for Unmanned Aerial Vehicles
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 711
EP  - 718
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.101
DO  - 10.2991/ifsa-eusflat-15.2015.101
ID  - Olivares-Mendez2015/06
ER  -