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Title: Acoustic detection of tagged angelsharks from an autonomous sailboat
Authors: Cabrera Gámez, Jorge 
Domínguez-Brito, Antonio C. 
Santana Jorge, F.
Gamo, Diego
Jiménez, David
Guerra, A.
Castro, José Juan 
UNESCO Clasification: 120325 Diseño de sistemas sensores
251011 Acústica submarina
120304 Inteligencia artificial
120326 Simulación
331913 Vehículos submarinos
Keywords: Acoustic receiver
Acoustic tag detection
Angelshark (squatina squatina)
Autonomous navigation
Autonomous sailboat, et al
Issue Date: 2020
Publisher: Springer 
Project: Acusquat:Seguimiento Acustico Del Comportamiento Del Angelote (Squatina Squatina) en Areas Criticas de Conservación. 
Journal: Advances in Intelligent Systems and Computing 
Conference: 4th Iberian Robotics Conference, ROBOT 2019 
Abstract: Autonomous sailboats are silent surface vehicles which are well suited for acoustic monitoring. The integration of an acoustic receiver in an unmanned surface vehicle has a large potential for population monitoring as it permits to report geo-referenced detections in real time, so that researchers can adapt monitoring strategies as data arrive. In this paper we present preliminary work, done on the framework of ACUSQUAT project, to explore the usage of an acoustic receiver onboard a small (2 m length-over-all) autonomous sailboat in order to detect the presence of tagged adult exemplars of angelshark (Squatina squatina), the target species in ACUSQUAT, in certain areas which have demonstrated that this approach is feasible. Results obtained in simulation and during field trials are presented.
ISBN: 978-3-030-35989-8
ISSN: 2194-5365
DOI: 10.1007/978-3-030-35990-4_24
Source: Silva M., Luís Lima J., Reis L., Sanfeliu A., Tardioli D. (eds) Robot 2019: Fourth Iberian Robotics Conference. ROBOT 2019. Advances in Intelligent Systems and Computing, vol 1092, pp. 295-304. Springer, Cham. 2020.
Appears in Collections:Actas de congresos
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