Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Avelino Forechi"'
In the Oil and Gas industry, estimating a subsurface velocity field is an essential step in seismic processing, reservoir characterization, and hydrocarbon volume calculation. Full-waveform inversion (FWI) velocity modeling is an iterative advanced t
Externí odkaz:
http://arxiv.org/abs/2105.00100
Autor:
Alberto F. De Souza, Thiago Goncalves Cavalcante, Claudine Badue, Avelino Forechi, Thiago Oliveira-Santos
Publikováno v:
IJCNN
In this work, we present a visual global localization system based on Deep Neural Networks (DNNs) for self-driving cars, named DeepVgl(Deep Visual Global Localization). In training mode, DeepVglis trained with images and associated poses from dataset
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed99d08b6a5c290790d1cf2b76ef8762
https://doi.org/10.1109/ijcnn52387.2021.9533843
https://doi.org/10.1109/ijcnn52387.2021.9533843
Autor:
Alberto F. De Souza, Claudine Badue, Filipe Mutz, Pedro Vieira de Azevedo, Josias Oliveira, Thiago Oliveira-Santos, Avelino Forechi
Publikováno v:
Intelligent Systems ISBN: 9783030916985
Intelligent Systems
Intelligent Systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::431f654c41169a1c08feb907e0482b6b
https://doi.org/10.1007/978-3-030-91699-2_11
https://doi.org/10.1007/978-3-030-91699-2_11
Publikováno v:
IJCNN
In the Oil and Gas industry, estimating a subsurface velocity field is an essential step in seismic processing, reservoir characterization, and hydrocarbon volume calculation. Full-waveform inversion (FWI) velocity modeling is an iterative advanced t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8354b1cf5b0a7d32b5adf37c0daca7d
Autor:
Alberto F. De Souza, Claudine Badue, Filipe Mutz, Thiago Oliveira-Santos, Karin Satie Komati, Felipe M. G. França, Avelino Forechi
Publikováno v:
Expert Systems with Applications. 179:115077
The localization of self-driving cars is needed for several tasks such as keeping maps updated, tracking objects, and planning. Localization algorithms often take advantage of maps for estimating the car pose. Since maintaining and using several maps
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c0636f65212b1e60e0d83c2786950c0
https://doi.org/10.1016/j.eswa.2021.115077
https://doi.org/10.1016/j.eswa.2021.115077
Autor:
Filipe Mutz, Alberto F. De Souza, Vinicius B. Cardoso, Rânik Guidolini, Luan F. R. Jesus, Lucas de Paula Veronese, Thiago Oliveira-Santos, Raphael V. Carneiro, Avelino Forechi, Rodrigo F. Berriel, Claudine Badue, Pedro Azevedo, Thiago M. Paixão
Publikováno v:
Expert Systems with Applications. 165:113816
We survey research on self-driving cars published in the literature focusing on autonomous cars developed since the DARPA challenges, which are equipped with an autonomy system that can be categorized as SAE level 3 or higher. The architecture of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e681d88462ec04a5ffdaedd789cda5c4
https://doi.org/10.1016/j.eswa.2020.113816
https://doi.org/10.1016/j.eswa.2020.113816
Publikováno v:
IJCNN
Currently, self-driving cars rely greatly on the Global Positioning System (GPS) infrastructure, albeit there is an increasing demand for alternative methods for GPS-denied environments. One of them is known as place recognition, which associates ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff931e90f886bfcae9a7b337c204030f
https://doi.org/10.1109/ijcnn.2018.8489335
https://doi.org/10.1109/ijcnn.2018.8489335
Publikováno v:
IJCNN
The human Episodic Memory system stores sequences of events (episodes encoded in time and in space) experienced or imagined by an individual for later access to the episodes in whole or in part. Such ability provided by our Episodic Memory system is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a45ddae670ac51cf000fa339eddd956
https://doi.org/10.1109/ijcnn.2016.7727550
https://doi.org/10.1109/ijcnn.2016.7727550
Autor:
Thiago Oliveira-Santos, Lucas de Paula Veronese, Avelino Forechi, Lauro Jose Lyrio Junior, Claudine Badue, Alberto F. De Souza
Publikováno v:
IJCNN
Mapping and localization are fundamental problems in autonomous robotics. Autonomous robots need to know where they are in their area of operation to navigate through it and to perform activities of interest. In this paper, we propose an Image-Based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f960ff58951025caa48cfbd1984a9c17
https://doi.org/10.1109/ijcnn.2014.6889888
https://doi.org/10.1109/ijcnn.2014.6889888
Autor:
Thiago Oliveira-Santos, Avelino Forechi, Filipe Mutz, Alberto F. De Souza, Claudine Badue, Mariella Berger
Publikováno v:
IJCNN
We propose a Virtual Generalizing Random Access Memory (VG-RAM) Weightless Neural Network (WNN) Computer (V'Ger Computer for short). VG-RAM WNNs are very effective pattern recognition tools, offering fast training (one shot training) and competitive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5531cd8e60a31657a9d45f7291c4595
https://doi.org/10.1109/ijcnn.2014.6889885
https://doi.org/10.1109/ijcnn.2014.6889885