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Study and improvement of control algorithms making use of estimating sensor data

Grant number: 14/12134-4
Support type:Scholarships abroad - Research
Effective date (Start): January 12, 2015
Effective date (End): January 11, 2016
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computer Systems
Principal researcher:Kalinka Regina Lucas Jaquie Castelo Branco
Grantee:Kalinka Regina Lucas Jaquie Castelo Branco
Host: Salah Sukkarieh
Home Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
Research place: University of Sydney, Australia  


Unmanned Aerial Vehicles (UAVs) are aircraft that can fly autonomously, without the existence of a human pilot, and can be used nowadays in different types of applications, civilian or military. What enables these aircraft to follow a pre-programmed flight path is the autonomous control system, responsible for keeping the aircraft stable and perform navigation tasks. This internship overseas research aims to study techniques of statistical estimates to perform the data sensor fusion from the aircraft allowing for better navigability and also to obtain more robust values that can help in detecting and avoiding obstacles. The results will be achieved with simulations in Matlab Simulink tool. (AU)

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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
RODRIGUES, DOUGLAS; PIRES, RAYNER DE MELO; MARCONATO, EMERSON ALBERTO; AREIAS, CRISTIANA; CUNHA, JOAO CARLOS; CASTELO BRANCO, KALINKA R. L. J.; VIEIRA, MARCO. Service-Oriented Architectures for a Flexible and Safe Use of Unmanned Aerial Vehicles. IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, v. 9, n. 1, p. 97-109, SPR 2017. Web of Science Citations: 4.

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