Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/48302
Title: Glider path-planning for optimal sampling of mesoscale eddies
Authors: Hernández, Daniel 
Smith, Ryan
Fernández-Perdomo, Enrique
Isern-González, Josep 
Cabrera, Jorge 
Domínguez-Brito, Antonio C. 
Prieto-Marañón, Victor
UNESCO Clasification: 120304 Inteligencia artificial
120326 Simulación
Keywords: Ocean gliders
Path planning
Optimal sampling
Issue Date: 2013
Publisher: 0302-9743
Journal: Lecture Notes in Computer Science 
Conference: 14th International Conference on Computer Aided Systems Theory (EUROCAST) 
14th International Conference on Computer Aided Systems Theory, EUROCAST 2013 
Abstract: 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
Source: 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
Appears in Collections:Actas de congresos
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