Glider path-planning for optimal sampling of mesoscale eddies

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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