Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/48302
Título: Glider path-planning for optimal sampling of mesoscale eddies
Autores/as: Hernández, Daniel 
Smith, Ryan
Fernández-Perdomo, Enrique
Isern-González, Josep 
Cabrera, Jorge 
Domínguez-Brito, Antonio C. 
Prieto-Marañón, Victor
Clasificación UNESCO: 120304 Inteligencia artificial
120326 Simulación
Palabras clave: Ocean gliders
Path planning
Optimal sampling
Fecha de publicación: 2013
Editor/a: 0302-9743
Publicación seriada: Lecture Notes in Computer Science 
Conferencia: 14th International Conference on Computer Aided Systems Theory (EUROCAST) 
14th International Conference on Computer Aided Systems Theory, EUROCAST 2013 
Resumen: In the present work we propose a method for generating ocean glider trajectories that optimize the sampling of mesoscale eddy structures based on a given objective function and the predictions available from ROMS maps. The eddy structure is modeled as a 3D volume discretized into sectors rotating around its center at different velocities. The objective functions can then be expressed in terms of those temporal evolving sectors. A set of simulation experiments have been carried out in order to validate the proposal.
URI: http://hdl.handle.net/10553/48302
ISBN: 978-3-642-53861-2
ISSN: 0302-9743
DOI: 10.1007/978-3-642-53862-9-41
Fuente: Moreno-Díaz R., Pichler F., Quesada-Arencibia A. (eds) Computer Aided Systems Theory - EUROCAST 2013. EUROCAST 2013. Lecture Notes in Computer Science, vol 8112. Springer, Berlin, Heidelberg
Colección:Actas de congresos
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