Reference : Fuzzy-4D/RCS for Unmanned Aerial Vehicles
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/19744
Fuzzy-4D/RCS for Unmanned Aerial Vehicles
English
Olivares Mendez, Miguel Angel mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > > ; Universidad Politecnica de Madrid, Computer Vision Group]
Campoy, Pascual [Universidad Politecnica de Madrid, Computer Vision Group]
Mondragon, Ivan F. [Universidad Politecnica de Madrid, Computer Vision Group]
Martinez, Carol [Universidad Politecnica de Madrid, Computer Vision Group]
Jul-2010
BICS 2010 Conference on Brain-Inspired Cognitive Systems
Yes
International
Madrid
Spain
BICS 2010 Conference on Brain-Inspired Cognitive Systems
July 2010
[en] Fuzzy Logic Control ; UAV ; UAS ; Visual Control
[en] Abstract This paper presents an improvement of the cognitive architecture, 4D/RCS,
developed by the NIST. This improvement consist of the insertion of Fuzzy Logic
cells (FLCs), in different parts and hierarchy levels of the architecture, and the adaptation
of this architecture for Unmanned Aerial Vehicles (UAVs). This advance provides
an improvement in the functionality of the system based on the uses of the
Miguel Olivares’ Fuzzy Software for the definition of the FLCs and its adaptative
learning algorithm. These adaptative-FLCs contribute with the reduction of the uncertainty
in the data sensor adquisition, a more adaptative behavior of the system to
the real world and the reduction of the computational cost in the decision making.
http://hdl.handle.net/10993/19744

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