@InProceedings{LacerdaLace:2017:UsSoIm,
author = "Lacerda, Marielcio Gon{\c{c}}alves and Lacerda, Camila Souza dos
Anjos",
title = "Uso de Sombra das Imagens para Estima{\c{c}}{\~a}o
Autom{\'a}tica de Rumo Aplicada a Navega{\c{c}}{\~a}o
A{\'e}rea Aut{\^o}noma de Ve{\'{\i}}culos A{\'e}reos N{\~a}o
Tripulados",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "7086--7093",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "The use of unmanned aerial vehicles (UAVs) has increasingly in
civilian and military applications. Normally the military
applications are often realized in inhospitable environments,
whether for geographical reasons or war conflicts. In order to
fulfill this type of mission, it is important that the UAV be
provided with an autonomous navigation system so that it can
fulfill its flight planning without the need for human
intervention during the whole period. The main autonomous
navigation systems currently used are based on GNSS (Global
Navigation Satellite System), whose technology is not of Brazilian
domain. An alternative form is the development of an autonomous
navigation system based on images. Due to the great complexity of
this system, it is necessary to develop several tools that aid in
the autonomous navigation. This work aims to develop a navigation
aid based on shadow identification of an image or a sequence of
images and the analysis of the data of the time and the location
of the image, determining the direction of flight (Rumo) that the
aircraft is flying, making any necessary corrections. The system
was developed in C ++ language. Preliminary results indicated a
great potential for the use of shadow identification in autonomous
navigation aid systems.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59689",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSMF4E",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMF4E",
targetfile = "59689.pdf",
type = "VANTs, videografia e alta resolu{\c{c}}{\~a}o",
urlaccessdate = "27 abr. 2024"
}