| 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  [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 |
| File(s) associated to this reference | ||||||||||||||
|
Fulltext file(s):
| ||||||||||||||
All documents in ORBilu are protected by a user license.
