Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Silva DA"'
Autor:
Silvia Silva da Costa Botelho, Cristiano Rafael Steffens, Lucas Ricardo Vieira Messias, Paulo L. J. Drews-Jr
Publikováno v:
Journal of Intelligent & Robotic Systems. 99:609-627
This work proposes an artificial neural network model to restore images damaged by inadequate sensor exposure, saturation, and underexposure, at the time of acquisition. The problem has significant relevance in computational and robotics vision appli
Autor:
Cristiano Rafael Steffens, Silvia Silva da Costa Botelho, Lucas Ricardo Vieira Messias, Paulo Jorge Lilles Drews-Jr
Publikováno v:
Journal of Intelligent & Robotic Systems. 101
We propose an evaluation framework that emulates poor image exposure conditions, low-range image sensors, lossy compression, as well as noise types which are common in robot vision. We present a rigorous evaluation of the robustness of several high-l
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
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
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
Autor:
Paulo L. J. Drews-Jr, Lucas Ricardo Vieira Messias, Silvia Silva da Costa Botelho, Cristiano Rafael Steffens
Publikováno v:
Intelligent Systems ISBN: 9783030613761
BRACIS
BRACIS
Image classification is a well-established problem in computer vision. Most state-of-the-art models rely on Convolutional Neural Networks to achieve near-human performance in that task. However, CNNs have shown to be susceptible to image manipulation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2afd1939ff3e18d2d4966249141813d6
https://doi.org/10.1007/978-3-030-61377-8_15
https://doi.org/10.1007/978-3-030-61377-8_15
Publikováno v:
ICAR
Autonomous underwater navigation is a challenging problem because of the limitations imposed by aquatic environments. Among them, the use of Global Positioning System (GPS) is severely limited. Thus, we propose the use of sensor fusion to improve und
Autor:
Lucas Ricardo Vieira Messias, Paulo Drews, Silvia Silva da Costa Botelho, Cristiano Rafael Steffens
Publikováno v:
2019 Latin American Robotics Symposium (LARS), 2019 Brazilian Symposium on Robotics (SBR) and 2019 Workshop on Robotics in Education (WRE).
Convolutional Neural Networks stand the current state-of-the-art in image recognition, as well as many computer vision tasks. Nevertheless, these architectures have been shown to be vulnerable to image manipulations, which may undermine the reliabili
Autor:
Atila A. Weis, Silvia Silva da Costa Botelho, Cristiano Rafael Steffens, Edwilson Silva Vaz, Lucas Louzada Pereira, Paulo Drews
Publikováno v:
2019 Latin American Robotics Symposium (LARS), 2019 Brazilian Symposium on Robotics (SBR) and 2019 Workshop on Robotics in Education (WRE).
Welding is a commonplace process in many industrial sectors. Once the welding environment can be harmful to human’s health, researchers are presenting solutions to automate this process. Many of these solutions use robots guided by computer vision
Publikováno v:
2019 Latin American Robotics Symposium (LARS), 2019 Brazilian Symposium on Robotics (SBR) and 2019 Workshop on Robotics in Education (WRE).
Aerial images provide rich information about the Earth surface, while underwater perception is severely limited due to the physical characteristic of water. This work proposes a new problem domain where a matching process fuses aerial and underwater