Eventos Anais de eventos
COBEM 2017
24th ABCM International Congress of Mechanical Engineering
DATA ANALYSIS ABOUT FLIGHT DYNAMICS: A REVIEW TO APPLY MACHINE LEARNING TECHNIQUES IN UNMANNED AERIAL VEHICLES
Submission Author:
Gustavo Prado Oliveira , MG
Co-Authors:
Roberto Mendes Finzi Neto, João Marcelo Vedovotto, Leonardo Sanches, Gustavo Prado Oliveira
Presenter: Gustavo Prado Oliveira
doi://10.26678/ABCM.COBEM2017.COB17-2527
Abstract
The possibility of independent flights without human interference and the ability to make decisions without external interventions are the main attractions for a wide field of application in Unmanned Aerial Vehicles (UAV). To find the correct algorithm from Machine Learning to apply in a UAV in order to guarantee the flight autonomy and recovery from flight stability quadcopter through turbulence is necessary to analyse all data obtained from the embedded inertial sensors at UAV. The algorithm selection will depends on the size and type of data that is necessary working with, the insights that want to get from the data and how those insights will be used, therefore in this paper, will be necessary to compare different kind of algorithm, and take this decision.
Keywords
Flight dynamics, Data analysis, machine learning, Unmanned Aerial Vehicles, autonomous flight
