Acoustic Detection of Tagged Angelsharks from an Autonomous Sailboat
| Autor: | A. Guerra, José J. Castro, F. J. Santana-Jorge, Diego Gamo, Jorge Cabrera-Gámez, Antonio C. Domínguez-Brito, David Jiménez |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0106 biological sciences
education.field_of_study Unmanned surface vehicle 010504 meteorology & atmospheric sciences biology Computer science 010604 marine biology & hydrobiology Real-time computing Population Squatina squatina biology.organism_classification 01 natural sciences Field (computer science) education 0105 earth and related environmental sciences |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783030359898 ROBOT (1) |
| DOI: | 10.1007/978-3-030-35990-4_24 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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