Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Ulises Orozco-Rosas"'
Autor:
Ulises Orozco-Rosas, Kenia Picos, Juan J. Pantrigo, Antonio S. Montemayor, Alfredo Cuesta-Infante
Publikováno v:
IEEE Access, Vol 10, Pp 84648-84663 (2022)
This paper presents the computation of feasible paths for mobile robots in known and unknown environments using a QAPF learning algorithm. Q-learning is a reinforcement learning algorithm that has increased in popularity in mobile robot path planning
Externí odkaz:
https://doaj.org/article/eb3fa886e3ce4fa29058ddad6f4ddb56
Autor:
Miguel Lopez-Montiel, Ulises Orozco-Rosas, Moises Sanchez-Adame, Kenia Picos, Oscar Humberto Montiel Ross
Publikováno v:
IEEE Access, Vol 9, Pp 101217-101238 (2021)
Traffic Sign Detection (TSD) is a complex and fundamental task for developing autonomous vehicles; it is one of the most critical visual perception problems since failing in this task may cause accidents. This task is fundamental in decision-making a
Externí odkaz:
https://doaj.org/article/c81832e0d69d4cc9886a76af1cf2f7a0
Publikováno v:
IEEE Access, Vol 7, Pp 156787-156803 (2019)
A hybrid path planning algorithm based on membrane pseudo-bacterial potential field (MemPBPF) is proposed. Membrane-inspired algorithms can reach an evolutionary behavior based on biochemical processes to find the best parameters for generating a fea
Externí odkaz:
https://doaj.org/article/d82fefe04cf84214a2129db96bc8da09
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 12 (2015)
This paper introduces the pseudo-bacterial potential field (PBPF) as a new path planning method for autonomous mobile robot navigation. The PBPF allows us to obtain an optimal and safe path, in contrast to the classical potential field approach which
Externí odkaz:
https://doaj.org/article/f1edee738faa4d6b8dc332dff7f8ee42
Autor:
Alfredo Cuesta-Infante, Antonio S. Montemayor, Kenia Picos, Ulises Orozco-Rosas, Juan José Pantrigo
Publikováno v:
IEEE Access. 10:84648-84663
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::357abc4c4ffba81f3f3089fd0f20afda
https://doi.org/10.1109/access.2022.3197628
https://doi.org/10.1109/access.2022.3197628
Publikováno v:
Optics and Photonics for Information Processing XVI.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87b39d48ab5b0a72fc43f2a4cb60007b
https://doi.org/10.1117/12.2633133
https://doi.org/10.1117/12.2633133
Publikováno v:
Optics and Photonics for Information Processing XVI.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6684bac18974c99da05ef2fcb5247f65
https://doi.org/10.1117/12.2634076
https://doi.org/10.1117/12.2634076
Autor:
Hector Osuna Medrano, Marcos Alberto Moroyoqui Olan, David Espina López, Ulises Orozco-Rosas, Kenia Picos
Publikováno v:
Optics and Photonics for Information Processing XVI.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d294c714bb6f7260208e234dbc3d240e
https://doi.org/10.1117/12.2633122
https://doi.org/10.1117/12.2633122
Autor:
Ulises Orozco-Rosas, Oscar Humberto Montiel Ross, Miguel Lopez-Montiel, Moisés. Sánchez-Adame, Kenia Picos
Publikováno v:
IEEE Access, Vol 9, Pp 101217-101238 (2021)
Traffic Sign Detection (TSD) is a complex and fundamental task for developing autonomous vehicles; it is one of the most critical visual perception problems since failing in this task may cause accidents. This task is fundamental in decision-making a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::def6d2183b04f463b8ee41b377f5f518
https://ieeexplore.ieee.org/document/9490209/
https://ieeexplore.ieee.org/document/9490209/
Autor:
Kenia Picos, Ulises Orozco-Rosas
Publikováno v:
Multimedia Tools and Applications. 80:23051-23072
An accurate method based on evolutionary correlation filtering to solve pose estimation of highly occluded targets is presented. The proposed method performs multiple correlation operations between an input scene and a bank of filters designed in fre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ea05a404e3ebcc24eed25d7575db851
https://doi.org/10.1007/s11042-020-08991-7
https://doi.org/10.1007/s11042-020-08991-7