Cargando…
A Dimensional Comparison between Evolutionary Algorithm and Deep Reinforcement Learning Methodologies for Autonomous Surface Vehicles with Water Quality Sensors
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 from a major contamination problem because of cyanob...
Autores principales: | Yanes Luis, Samuel, Gutiérrez-Reina, Daniel, Toral Marín, Sergio |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8074202/ https://www.ncbi.nlm.nih.gov/pubmed/33921649 http://dx.doi.org/10.3390/s21082862 |
Ejemplares similares
-
Adaptive Navigation Algorithm with Deep Learning for Autonomous Underwater Vehicle
por: Ma, Hui, et al.
Publicado: (2021) -
Geomagnetic Navigation of Autonomous Underwater Vehicle Based on Multi-objective Evolutionary Algorithm
por: Li, Hong, et al.
Publicado: (2017) -
Sensors and Sensor’s Fusion in Autonomous Vehicles
por: Stateczny, Andrzej, et al.
Publicado: (2021) -
A Comparison of Local Path Planning Techniques of Autonomous Surface Vehicles for Monitoring Applications: The Ypacarai Lake Case-study
por: Peralta, Federico, et al.
Publicado: (2020) -
Deep Learning Sensor Fusion for Autonomous Vehicle Perception and Localization: A Review
por: Fayyad, Jamil, et al.
Publicado: (2020)