Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Samuel Yanes Luis"'
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
Autor:
Dame Seck Diop, Samuel Yanes Luis, Manuel Perales Esteve, Sergio L. Toral Marin, Daniel Gutierrez Reina
Publikováno v:
IEEE Access, Vol 12, Pp 75559-75576 (2024)
This study proposes the use of an Autonomous Surface Vehicle (ASV) fleet with water quality sensors for efficient patrolling to monitor water resource pollution. This is formulated as a Patrolling Problem, which consists of planning and executing eff
Externí odkaz:
https://doaj.org/article/56b3d4f0b8d84c3dabd5c5976a94eea1
Autor:
Alejandro Mendoza Barrionuevo, Samuel Yanes Luis, Daniel Gutierrez Reina, Sergio L. Toral Marin
Publikováno v:
IEEE Access, Vol 12, Pp 71835-71852 (2024)
Water contamination in extensive aquatic resources is a pressing issue, especially during current drought conditions across the world. To adress this, a novel approach involving a heterogeneous sensing capabilities fleet of four autonomous surface ve
Externí odkaz:
https://doaj.org/article/396e4665dc9349c8a9b2b99db101c30d
Publikováno v:
IEEE Access, Vol 9, Pp 17084-17099 (2021)
Autonomous surfaces vehicles (ASVs) excel at monitoring and measuring aquatic nutrients due to their autonomy, mobility, and relatively low cost. When planning paths for such vehicles, the task of patrolling with multiple agents is usually addressed
Externí odkaz:
https://doaj.org/article/701164caec1843988573ccdff89f81c3
Publikováno v:
IEEE Access, Vol 8, Pp 204076-204093 (2020)
Autonomous Surfaces Vehicles (ASV) are incredibly useful for the continuous monitoring and exploring task of water resources due to their autonomy, mobility, and relative low cost. In the path planning context, the patrolling problem is usually addre
Externí odkaz:
https://doaj.org/article/84fba415a0c9430d91ac2cec01e24437
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
Autor:
Cristina Martínez-Ruedas, Samuel Yanes-Luis, Juan Manuel Díaz-Cabrera, Daniel Gutiérrez-Reina, Rafael Linares-Burgos, Isabel Luisa Castillejo-González
Publikováno v:
Agronomy; Volume 12; Issue 11; Pages: 2700
This paper aims to evaluate whether an automatic analysis with deep learning convolutional neural networks techniques offer the ability to efficiently identify olive groves with different intensification patterns by using very high-resolution aerial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44eb210ea112fc466d89b6b2a4ed6c57
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
Publikováno v:
IEEE Access. 9:17084-17099
Article number 9330612 Autonomous surfaces vehicles (ASVs) excel at monitoring and measuring aquatic nutrients due to their autonomy, mobility, and relatively low cost. When planning paths for such vehicles, the task of patrolling with multiple agent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b32cadfeb8d09a2b8f2c06fd9187a28b
https://doi.org/10.1109/access.2021.3053348
https://doi.org/10.1109/access.2021.3053348