Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Sergio Toral Marín"'
Autor:
Samuel Yanes Luis, Dmitriy Shutin, Juan Marchal Gómez, Daniel Gutiérrez Reina, Sergio Toral Marín
Publikováno v:
Advanced Intelligent Systems, Vol 6, Iss 8, Pp n/a-n/a (2024)
The conservation of hydrological resources involves continuously monitoring their contamination. A multiagent system composed of autonomous surface vehicles is proposed herein to efficiently monitor the water quality. To achieve a safe control of the
Externí odkaz:
https://doaj.org/article/27c4ce351c5545a3b0597c4176f1c461
Publikováno v:
Sensors, Vol 21, Iss 8, p 2862 (2021)
The monitoring of water resources using Autonomous Surface Vehicles with water-quality sensors has been a recent approach due to the advances in unmanned transportation technology. The Ypacaraí Lake, the biggest water resource in Paraguay, suffers f
Externí odkaz:
https://doaj.org/article/0c93f2494bb3434fbb0c20915181f8d0
Publikováno v:
2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f102539b0679350caa150989af391f5
https://doi.org/10.1109/raai56146.2022.10092959
https://doi.org/10.1109/raai56146.2022.10092959
Monitoring and patrolling large water resources is a major challenge for conservation. The problem of acquiring data of an underlying environment that usually changes within time involves a proper formulation of the information. The use of Autonomous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5801f2bed00b3a92673fedbcdac223c4
http://arxiv.org/abs/2210.08115
http://arxiv.org/abs/2210.08115
Autor:
Samuel Yanes Luis, Federico Peralta, Alejandro Tapia Córdoba, Álvaro Rodríguez del Nozal, Sergio Toral Marín, Daniel Gutiérrez Reina
Publikováno v:
Engineering Applications of Artificial Intelligence. 112:104852
The rapid increase of human activities with direct influence on the environment has motivated the global awareness of the need to efficiently monitor the natural resources. Among the wide range of problems addressed, such as overuse of agrochemicals,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f8356b242930b337285f0dbfe60cd6a
https://doi.org/10.1016/j.engappai.2022.104852
https://doi.org/10.1016/j.engappai.2022.104852
Bayesian optimization is a popular sequential decision strategy that can be used for environmental monitoring. In this work, we propose an efficient multi-Autonomous Surface Vehicle system capable of monitoring the Ypacarai Lake (San Bernardino, Para
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1b4992f803690ed3c8c84774ed758ce
https://doi.org/10.36227/techrxiv.14267546
https://doi.org/10.36227/techrxiv.14267546