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Implementation of an Unmanned Surface Vehicle for Environmental Monitoring Applications

dc.contributor.editorGarcia L.
dc.contributor.editorWightman P.
dc.contributor.editorPercybrooks W.
dc.contributor.editorCarrillo H.
dc.contributor.editorQuintero C.
dc.creatorPaez J.
dc.creatorVilla J.L.
dc.creatorCabrera J.
dc.creatorYime E.
dc.date.accessioned2020-03-26T16:33:12Z
dc.date.available2020-03-26T16:33:12Z
dc.date.issued2018
dc.identifier.citation2018 IEEE 2nd Colombian Conference on Robotics and Automation, CCRA 2018
dc.identifier.isbn9781538684641
dc.identifier.urihttps://hdl.handle.net/20.500.12585/9202
dc.description.abstractEnvironmental monitoring in inland waters is an important issue for adequate planning and management of this kind of territories. This paper shows the implementation of the concepts and strategies for a boat to follow a pre-established route through waypoints oriented to these water bodies. An extended Kalman filter is used to estimate orientation and position using the readings of an inertial unit fused with a magnetometer and GPS. The strategy shows to be valid in calm conditions, which is sufficient for the mission. © 2018 IEEE.eng
dc.format.mediumRecurso electrónico
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourcehttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85060985583&doi=10.1109%2fCCRA.2018.8588131&partnerID=40&md5=58ee2d1a4dc560503fa72ed65af141fc
dc.titleImplementation of an Unmanned Surface Vehicle for Environmental Monitoring Applications
dcterms.bibliographicCitationVilla, J.L., Paez, J., Quintero, C., Yime, E., Cabrera, J., Design and control of an unmanned surface vehicle for environmental monitoring applications 2016 IEEE Colombian Conference on Robotics and Automation (CCRA), pp. 1-5. , Sept 2016
dcterms.bibliographicCitationFossen, T., (2011) Handbook of Marine Craft Hydrodynamics and Motion Control, , Wiley
dcterms.bibliographicCitationFornai, F., Ferri, G., Manzi, A., Ciuchi, F., Bartaloni, F., Laschi, C., An Autonomous Water Monitoring and Sampling System for Small-sized ASVs, 42 (1), pp. 5-12
dcterms.bibliographicCitationHitz, G., Pomerleau, F., Garneau, M.-E., Pradalier, C., Posch, T., Pernthaler, J., Siegwart, R., Autonomous inland water monitoring: Design and application of a surface vessel , 19 (1), pp. 62-72
dcterms.bibliographicCitationFerri, G., Manzi, A., Fornai, F., Ciuchi, F., Laschi, C., The HydroNet ASV, a small-sized autonomous catamaran for real-Time monitoring of water quality: From design to missions at sea , 40 (3), pp. 710-726
dcterms.bibliographicCitationLiu, D., Luan, X., Zhang, F., Jin, J., Guo, J., Zheng, R., An USVbased laser fluorosensor for oil spill detection Proceedings of the International Conference on Sensing Technology, ICST IEEE Computer Society
dcterms.bibliographicCitationPinto, E., Marques, F., Mendonca, R., Lourenco, A., Santana, P., Barata, J., An autonomous surface-Aerial marsupial robotic team for riverine environmental monitoring: Benefiting from coordinated aerial, underwater, and surface level perception 2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014, pp. 443-450. , Institute of Electrical and Electronics Engineers Inc
dcterms.bibliographicCitationBennett, A., Barrett, D., Preston, V., Woo, J., Chandra, S., Diggins, D., Chapman, R., Kerr, I., Autonomous vehicles for remote sample collection: Enabling marine research MTS/IEEE OCEANS 2015-Genova: Discovering Sustainable Ocean Energy for A New World, Institute of Electrical and Electronics Engineers Inc
dcterms.bibliographicCitationKemna, S., Caron, D., Sukhatme, G., Constraint-induced formation switching for adaptive environmental sampling MTS/IEEE OCEANS 2015-Genova: Discovering Sustainable Ocean Energy for A New World, Institute of Electrical and Electronics Engineers Inc
dcterms.bibliographicCitationVelez, F., Nadziejko, A., Christensen, A., Oliveira, S., Rodrigues, T., Costa, V., Duarte, M., Gomes, J., Wireless sensor and networking technologies for swarms of aquatic surface drones IEEE Vehicular Technology Conference, Institute of Electrical and Electronics Engineers Inc
dcterms.bibliographicCitationManjanna, S., Hansen, J., Li, A., Rekleitis, I., Dudek, G., Collaborative sampling using heterogeneous marine robots driven by visual cues (2017) Proceedings-2017 14th Conference on Computer and Robot Vision, CRV, pp. 87-94. , 2018-January, Institute of Electrical and Electronics Engineers Inc
dcterms.bibliographicCitationMatos, J., Postolache, O., IoT enabled aquatic drone for environmental monitoring Proceedings of the 2016 International Conference and Exposition on Electrical and Power Engineering, EPE 2016, pp. 598-603. , G. M. N. B.-C. Haba C.-G., Ivanov O., ed, Institute of Electrical and Electronics Engineers Inc
dcterms.bibliographicCitationSeo, S., Chung, W., Cho, E., Real time detecting of harmful dinoflagellate cochlodinium polykrikoides using unmanned surface vehicle in dynamic environments , 35 (3), pp. 563-570
dcterms.bibliographicCitationFitzpatrick, P., Lau, Y., Moorhead, R., Skarke, A., Merritt, D., Kreider, K., Brown, C., Leonardi, A., A Review of the 2014 Gulf of Mexico Wave Glider Field Program, 49 (3), pp. 64-71
dcterms.bibliographicCitationZaghi, S., Dubbioso, G., Broglia, R., Muscari, R., Hydrodynamic characterization of USV vessels with innovative SWATH configuration for coastal monitoring and low environmental impact Transportation Research Procedia, 14, pp. 1562-1570. , Elsevier B.V
dcterms.bibliographicCitationHitz, G., Gotovos, A., Pomerleau, F., Garneau, M.-E., Pradalier, C., Krause, A., Siegwart, R., Fully autonomous focused exploration for robotic environmental monitoring Proceedings-IEEE International Conference on Robotics and Automation, pp. 2658-2664. , Institute of Electrical and Electronics Engineers Inc
dcterms.bibliographicCitationMa, K.-C., Liu, L., Heidarsson, H., Sukhatme, G., Data-driven Learning and Planning for Environmental Sampling, 35 (5), pp. 643-661
dcterms.bibliographicCitationLi, T., Xia, M., Chen, J., Gao, S., De Silva, C., A hexagonal grid-based sampling planner for aquatic environmental monitoring using unmanned surface vehicles 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, 2017-January, pp. 3683-3688. , Institute of Electrical and Electronics Engineers Inc
dcterms.bibliographicCitationArzamendia, M., Espartza, I., Reina, D., Toral, S., Gregor, D., Comparison of Eulerian and Hamiltonian Circuits for Evolutionary-based Path Planning of An Autonomous Surface Vehicle for Monitoring Ypacarai Lake, pp. 1-13
dcterms.bibliographicCitationRev.1 (2014) MotionTracking Device, 1. , InvenSense Inc
dcterms.bibliographicCitationU-blo, U-blox M8 Concurrent GNSS Modules
dcterms.bibliographicCitationCavallo, A., Cirillo, A., Cirillo, P., De Maria, G., Falco, P., Natale, C., Pirozzi, S., Experimental comparison of sensor fusion algorithms for attitude estimation (2014) IFAC Proceedings Volumes, 47 (3), pp. 7585-7591
dcterms.bibliographicCitationYang, Y., Zhou, J., Loffeld, O., Quaternion-based kalman filtering on ins/GPS 2012 15th International Conference on Information Fusion, pp. 511-518. , July 2012
dcterms.bibliographicCitationFinn, A., Scheding, S., (2010) Developments and Challenges for Autonomous Unmanned Vehicles: A Compendium. Intelligent Systems Reference Library, , Springer Berlin Heidelberg
datacite.rightshttp://purl.org/coar/access_right/c_16ec
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94f
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
dc.source.event2nd IEEE Colombian Conference on Robotics and Automation, CCRA 2018
dc.type.driverinfo:eu-repo/semantics/conferenceObject
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doi10.1109/CCRA.2018.8588131
dc.subject.keywordsAutonomous Vehicles
dc.subject.keywordsEnvironmental monitoring
dc.subject.keywordsMarine robotics
dc.subject.keywordsNavigation
dc.subject.keywordsQuaternion
dc.subject.keywordsSensor fusion
dc.subject.keywordsAutonomous vehicles
dc.subject.keywordsEnvironmental engineering
dc.subject.keywordsKalman filters
dc.subject.keywordsMarine navigation
dc.subject.keywordsNavigation
dc.subject.keywordsRobotics
dc.subject.keywordsRobots
dc.subject.keywordsUnmanned surface vehicles
dc.subject.keywordsCalm conditions
dc.subject.keywordsEnvironmental monitoring
dc.subject.keywordsInertial units
dc.subject.keywordsInland waters
dc.subject.keywordsMarine robotics
dc.subject.keywordsQuaternion
dc.subject.keywordsSensor fusion
dc.subject.keywordsWaterbodies
dc.subject.keywordsEnvironmental management
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.ccAtribución-NoComercial 4.0 Internacional
dc.identifier.instnameUniversidad Tecnológica de Bolívar
dc.identifier.reponameRepositorio UTB
dc.description.notesACKNOWLEDGMENT This work is supported by Universidad Tecnologica de Bolivar under contract FI1506T2001 ”Design and Implementation of an Autonomous Operation System for a boat”.
dc.relation.conferencedate1 November 2018 through 3 November 2018
dc.type.spaConferencia
dc.identifier.orcid56682671200
dc.identifier.orcid55498635300
dc.identifier.orcid57193252278
dc.identifier.orcid22837432800


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