Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Matheus M. dos Santos"'
Autor:
Igor P. Maurell, Matheus M. dos Santos, Paulo Jefferson Dias de Oliveira Evald, Bruno H. Justo, Jorge Arigony-Neto, Antonio Wilson Vieira, Silvia S. C. Botelho, Paulo L. J. Drews
Publikováno v:
IEEE Sensors Journal. 22:23380-23392
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::682456782b173321d96f2123c843c9fd
https://doi.org/10.1109/jsen.2022.3213780
https://doi.org/10.1109/jsen.2022.3213780
Autor:
Eletra de Souza, Jade Lima-Santos, Omar M. Entiauspe-Neto, Matheus M. dos Santos, Paulo R. de Moura, Erika Hingst-Zaher
Publikováno v:
Ornithology Research. 30:15-24
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06ef2d66222063e4eb8cb768641e222d
https://doi.org/10.1007/s43388-022-00082-5
https://doi.org/10.1007/s43388-022-00082-5
Publikováno v:
IEEE Robotics and Automation Letters. 5:6365-6370
Underwater localization is a challenging task due to the lack of a Global Positioning System (GPS). However, the capability to match georeferenced aerial images and acoustic data can help with this task. Autonomous hybrid aerial and underwater vehicl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e30dc45253e3fa4e5b489244f065d2a3
https://doi.org/10.1109/lra.2020.3013852
https://doi.org/10.1109/lra.2020.3013852
Publikováno v:
Journal of Intelligent & Robotic Systems. 104
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb9b280c36117c74893e2ad9a3ae5382
https://doi.org/10.1007/s10846-022-01591-7
https://doi.org/10.1007/s10846-022-01591-7
Cross-view image matches have been widely explored on terrestrial image localization using aerial images from drones or satellites. This study expands the cross-view image match idea and proposes a cross-domain and cross-view localization framework.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cdf33269f52fb6fda57c679e7437f4e
http://arxiv.org/abs/2202.07817
http://arxiv.org/abs/2202.07817
Autor:
Claudio D. Mello, Matheus M. dos Santos, Giovanni G. De Giacomo, Silvia Silva da Costa Botelho, Paulo L. J. Drews-Jr
Publikováno v:
2021 Latin American Robotics Symposium (LARS), 2021 Brazilian Symposium on Robotics (SBR), and 2021 Workshop on Robotics in Education (WRE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2bce3149f584b9be25be804bdc36795f
https://doi.org/10.1109/lars/sbr/wre54079.2021.9605368
https://doi.org/10.1109/lars/sbr/wre54079.2021.9605368
Publikováno v:
Journal of Intelligent & Robotic Systems. 101
Underwater navigation and localization are greatly enhanced by the use of acoustic images. However, such images are of difficult interpretation. Contrarily, aerial images are easier to interpret, but require Global Positioning System (GPS) sensors. D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eae68c6aa680c91651189b32fbf5d6d8
https://doi.org/10.1007/s10846-021-01324-2
https://doi.org/10.1007/s10846-021-01324-2
Autor:
Matheus M. dos Santos, Silvia Silva da Costa Botelho, Paulo L. J. Drews-Jr, Giovanni G. De Giacomo
Publikováno v:
LARS/SBR/WRE
Recently, Deep Convolutional Neural Networks have been applied to various computer vision problems and achieved state-of-the-art results. Among these, Siamese and Triplet networks have obtained great traction in intra-domain matching. However, it is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::162b425551b0b34a4acbe315c493b804
https://doi.org/10.1109/lars/sbr/wre51543.2020.9307138
https://doi.org/10.1109/lars/sbr/wre51543.2020.9307138
Autor:
Guilherme Brunei Zaffari, Pedro Ribeiro, Silvia Silva da Costa Botelho, Matheus M. dos Santos, Paulo L. J. Drews-Jr
Publikováno v:
Journal of Field Robotics. 36:355-369
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9efc540027ab071f332445a77b5807b4
https://doi.org/10.1002/rob.21822
https://doi.org/10.1002/rob.21822
Publikováno v:
Journal of Intelligent & Robotic Systems. 91:279-289
The application of robots as a tool to explore underwater environments has increased in the last decade. Underwater tasks such as inspection, maintenance, and monitoring can be automatized by robots. The understanding of the underwater environments a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b9ee2f4a9094d71743ebe98da3a8779
https://doi.org/10.1007/s10846-017-0721-4
https://doi.org/10.1007/s10846-017-0721-4