Path Planning for Underwater Information Gathering Based on Genetic Algorithms and Data Stochastic Models

Path Planning for Underwater Information Gathering Based on Genetic Algorithms and Data Stochastic Models

Recent technological developments have paved the way to the employment of Autonomous Underwater Vehicles (AUVs) for monitoring and exploration activities of marine environments. Traditionally, in information gathering scenarios for monitoring purposes, AUVs follow predefined paths that are not effic...

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Autores principales: Matteo Bresciani, Francesco Ruscio, Simone Tani, Giovanni Peralta, Andrea Timperi, Eric Guerrero-Font, Francisco Bonin-Font, Andrea Caiti, Riccardo Costanzi
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
genetic algorithm
path planning
Gaussian Process
AUVs
optimal sampling
Posidonia Oceanica
Naval architecture. Shipbuilding. Marine engineering
VM1-989
Oceanography
GC1-1581
Acceso en línea:https://doaj.org/article/7cb8ecfc1b78463db6da0d5b7d120e71
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https://doaj.org/article/7cb8ecfc1b78463db6da0d5b7d120e71

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