@InCollection{VasconcelosLeitKusuLope:2018:StSeAn,
author = "Vasconcelos, Luiz Eduardo Guarino de and Leite, Nelson Paiva O.
and Kusumoto, Andr{\'e} Yoshimi and Lopes, Cristina Moniz
Ara{\'u}jo",
title = "Store separation analysis using image processing techniques",
booktitle = "Information technology: new generations",
publisher = "Springer International Publishing",
year = "2018",
editor = "Latifi, S.",
pages = "729--737",
keywords = "Image Processing, Store Separation, Real time, Synthetic Scenario,
Camera Calibration.",
abstract = "Store separation flight tests are considered as high-risk
activity. These tests are performed to determine the position and
attitude of the store after it is deliberately separated or
ejected while it is still under the aircrafts area of
interference. A process that added value for experimental tests is
the photogrammetry. This process extracts data from the cameras,
using computational resources that analyze the frames of the
videos. Few institutions in the world have an ability to perform
this kind of activity. In Brazil, the Flight Tests and Research
Institute (IPEV) is one of them. At IPEV, the determination of the
store separation trajectory is performed after the flight using a
commercial tool. In addition, the process is very inefficient and
costly because the activity demands for many weeks of work to
analyze the results. Thus, developing a solution to determine the
store separation trajectory will increase the efficiency and
safety of the flight test campaign. The benefits of such a
solution include better use of resources, minimization of
workload, and reduced costs and time. In this work, we demonstrate
the steps for developing the application that uses a synthetic
scenario. The use of a synthetic scenario allows the simulation of
different separation scenarios and thus, the application becomes
more robust. The experiments performed to validate the application
are also demonstrated.",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Flight
Test \& Research Institute (IPEV)} and {Flight Test \& Research
Institute (IPEV)} and {Instituto Tecnol{\'o}gico de
Aeron{\'a}utica (ITA)}",
doi = "10.1007/978-3-319-54978-1_91",
url = "http://dx.doi.org/10.1007/978-3-319-54978-1_91",
isbn = "9783319549774",
label = "lattes: 1437264376997143 1 VasconcelosLeitKusuLope:2018:StSeAn",
language = "en",
seriestitle = "Advances in Intelligent Systems and Computing",
targetfile = "vasconcelos_store.pdf",
url = "http://link.springer.com/10.1007/978-3-319-54978-1_91",
volume = "558",
urlaccessdate = "27 abr. 2024"
}