Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Gabriel Mariano Marcelino"'
Autor:
Victor Hugo Schulz, Gabriel Mariano Marcelino, Laio Oriel Seman, Jeferson Santos Barros, Sangkyun Kim, Mengu Cho, Gabriel Villarrubia González, Valderi Reis Quietinho Leithardt, Eduardo Augusto Bezerra
Publikováno v:
Sensors, Vol 21, Iss 3, p 907 (2021)
Developing star trackers quickly is non-trivial. Achieving reproducible results and comparing different algorithms are also open problems. In this sense, this work proposes the use of synthetic star images (a simulated sky), allied with the standardi
Externí odkaz:
https://doaj.org/article/e00eb5af839e42edb2bb454b037102f9
Autor:
Felipe Viel, Kleber R. Gouveia, Edilberto Costa, Márcio Oliveira, Miguel Boing, André Martins Pio de Mattos, Gabriel Mariano Marcelino, David Merodio Codinachs, Laio Oriel Seman, Eduardo Augusto Bezerra
Publikováno v:
IEEE Embedded Systems Letters. 15:93-96
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60ddcbbef998b621fd0fada0302a6bc8
https://doi.org/10.1109/les.2022.3191638
https://doi.org/10.1109/les.2022.3191638
Autor:
Edemar Morsch Filho, Sara Vega Martinez, Eduardo Augusto Bezerra, Gabriel Mariano Marcelino, Laio Oriel Seman
Publikováno v:
Acta Astronautica. 188:64-80
This paper presents the embedded systems along with the first in-orbit results of FloripaSat-I, a complete CubeSat mission developed at the Federal University of Santa Catarina, Brazil. The satellite’s service module has three main subsystems, each
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52a21dfa829c2e34342becdcb6d0fefd
https://doi.org/10.1016/j.actaastro.2021.07.001
https://doi.org/10.1016/j.actaastro.2021.07.001
Autor:
Laio Oriel Seman, Sara Vega Martinez, Leonardo Kessler Slongo, Andre Martins Pio de Mattos, Edemar Morsch Filho, Eduardo Augusto Bezerra, Gabriel Mariano Marcelino
Publikováno v:
Journal of Systems Engineering and Electronics. 31:1230-1244
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a46ce3c279acc19ff3682601ec79037
https://doi.org/10.23919/jsee.2020.000103
https://doi.org/10.23919/jsee.2020.000103
Autor:
Gabriel Mariano Marcelino, Sara Vega-Martinez, Laio Oriel Seman, Leonardo Kessler Slongo, Eduardo Augusto Bezerra
Publikováno v:
IEEE Latin America Transactions. 18:249-256
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b2172faecf99cef6e9ad4c9aaed6162
https://doi.org/10.1109/tla.2020.9085277
https://doi.org/10.1109/tla.2020.9085277
Autor:
Gabriel Mariano Marcelino, André Martins Pio de Mattos, João Cláudio Elsen Barcellos, Brenda Fernandes Ribeiro, Laio Oriel Seman, Edemar Morsch Filho, Eduardo Augusto Bezerra
Publikováno v:
IEEE Embedded Systems Letters. :1-1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5dd079ba1d1d921b3a4cbcb1551bd761
https://doi.org/10.1109/les.2023.3260066
https://doi.org/10.1109/les.2023.3260066
Autor:
Laio Oriel Seman, Gabriel Mariano Marcelino, Gabriel Villarrubia González, Sangkyun Kim, Victor Hugo Schulz, Mengu Cho, Eduardo Augusto Bezerra, Valderi Reis Quietinho Leithardt, Jeferson Santos Barros
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 3
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Sensors, Vol 21, Iss 907, p 907 (2021)
Sensors
Volume 21
Issue 3
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Sensors, Vol 21, Iss 907, p 907 (2021)
Developing star trackers quickly is non-trivial. Achieving reproducible results and comparing different algorithms are also open problems. In this sense, this work proposes the use of synthetic star images (a simulated sky), allied with the standardi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa16e12aa820efca0d83089b1f10d8b1
https://pubmed.ncbi.nlm.nih.gov/33572822
https://pubmed.ncbi.nlm.nih.gov/33572822
Publikováno v:
International Journal of Sensor Networks. 32:1
The execution of centroid extraction algorithms using a microprocessor consumes considerable resources when compared to the other steps involved in star trackers. This paper presents a method to identify star centroids in star trackers by pre-process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8206cacf9d7776d9f22491c747974ad
https://doi.org/10.1504/ijsnet.2020.10026206
https://doi.org/10.1504/ijsnet.2020.10026206