Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Javier Rodriguez-Vazquez"'
Autor:
Javier Rodriguez-Vazquez, Inés Prieto-Centeno, Miguel Fernandez-Cortizas, David Perez-Saura, Martin Molina, Pascual Campoy
Publikováno v:
Sensors, Vol 24, Iss 3, p 777 (2024)
Robotic missions for solar farm inspection demand agile and precise object detection strategies. This paper introduces an innovative keypoint-based object detection framework specifically designed for real-time solar farm inspections with UAVs. Movin
Externí odkaz:
https://doaj.org/article/3deb253c4a724f008f436fb0f51f4f2f
Publikováno v:
IEEE Access, Vol 8, Pp 124451-124466 (2020)
Recent object detection studies have been focused on video sequences, mostly due to the increasing demand of industrial applications. Although single-image architectures achieve remarkable results in terms of accuracy, they do not take advantage of p
Externí odkaz:
https://doaj.org/article/24b80ed52ff944d58ac2ded9072c1d7a
Autor:
Javier Rodriguez-Vazquez, Miguel Fernandez-Cortizas, David Perez-Saura, Martin Molina, Pascual Campoy
Publikováno v:
Remote Sensing, Vol 15, Iss 6, p 1700 (2023)
This paper presents a novel semi-supervised approach for accurate counting and localization of tropical plants in aerial images that can work in new visual domains in which the available data are not labeled. Our approach uses deep learning and domai
Externí odkaz:
https://doaj.org/article/a40d76507fee48eda7f8d241d9d90146
Autor:
Carlos Sampedro, Javier Rodriguez-Vazquez, Alejandro Rodriguez-Ramos, Adrian Carrio, Pascual Campoy
Publikováno v:
IEEE Access, Vol 7, Pp 101283-101308 (2019)
This paper presents a complete system for automatic recognition and the diagnosis of electrical insulator strings which efficiently combines different deep learning-based components to build a versatile solution to the automation problem of the power
Externí odkaz:
https://doaj.org/article/ccfdddc4cea44dec866be836f6b58588
Akademický článek
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Akademický článek
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Autor:
Baiocco, Davide, Lopez-Quintas, Ignacio, Aldana, Javier Rodriguez Vazquez de, Tonelli, Mauro, Tredicucci, Alessandro
Publikováno v:
EPJ Web of Conferences; 10/19/2024, Vol. 307, p1-2, 2p
Autor:
Alejandro Rodriguez-Ramos, Adrian Alvarez-Fernandez, Hriday Bavle, Javier Rodriguez-Vazquez, Liang Lu, Miguel Fernandez-Cortizas, Ramon Suarez Fernandez, Alberto Rodelgo, Carlos Santos, Martin Molina, Luis Merino, Fernando Caballero, Pascual Campoy
Publikováno v:
Field Robotics. 2:1320-1350
In recent years, high-speed navigation and environment interaction in the context of aerial robotics has become a field of interest for several academic and industrial research studies. In particular, Search and Intercept (SaI) applications for aeria
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::756c6d98f8008b22d2f41813c7cbc8cf
https://doi.org/10.55417/fr.2022044
https://doi.org/10.55417/fr.2022044
Publikováno v:
Neural Networks. 145:155-163
Counting objects in images is a very time-consuming task for humans that yields to errors caused by repetitiveness and boredom. In this paper, we present a novel object counting method that, unlike most of the recent works that focus on the regressio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efc82a2d694f6348e34b76c4e76ed931
https://doi.org/10.1016/j.neunet.2021.10.010
https://doi.org/10.1016/j.neunet.2021.10.010
Autor:
Guillermo Martin, Alain Morand, Myriam Bonduelle, Ciro D’Amico, Razvan Stoian, Javier Rodriguez Vazquez de Aldana, Carolina RomeroVazquez
Publikováno v:
Springer Series in Optical Sciences ISBN: 9783031147517
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e773f2edb10fdabf557b809d0505ff93
https://doi.org/10.1007/978-3-031-14752-4_28
https://doi.org/10.1007/978-3-031-14752-4_28
