Unmanned Aerial Vehicle Framework for Algae Monitoring

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversidade Federal de São Carlos (UFSCar)-
Autor(es): dc.creatorDe Almeida, Aline Gabriel-
Autor(es): dc.creatorDo Nascimento, Eduardo Vieira-
Autor(es): dc.creatorAlvarez, Isaac Gaetani-
Autor(es): dc.creatorKim, Pedro Henrique Correa-
Autor(es): dc.creatorDa Rocha, Lidia Gianne Souza-
Autor(es): dc.creatorVivaldini, Kelen Cristiane Teixeira-
Data de aceite: dc.date.accessioned2025-08-21T22:28:52Z-
Data de disponibilização: dc.date.available2025-08-21T22:28:52Z-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2020-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/LARS/SBR/WRE54079.2021.9605379-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/223326-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/223326-
Descrição: dc.descriptionSeveral environmental problems requires constant monitoring to ensure that the human interference is not changing the natural habitats. This kind of effort requires many hours of human labor to be performed manually and has a cost associated with it. This work proposes a framework for managing the UAV tasks of creating routes for scanning and sampling algae overgrowth issues in water bodies and makes a comparison between an offline and an online planning strategy that will be tested in a simulated environment.-
Descrição: dc.descriptionSãô Paulo State University (UNESP) Institute of Science And Technology of Sorocaba (ICTS)-
Descrição: dc.descriptionFederal University of São Carlos (UFSCar) Department of Computer Science-
Descrição: dc.descriptionFederal University of São Carlos (UFSCar) Sorocaba Computing Department-
Descrição: dc.descriptionSãô Paulo State University (UNESP) Institute of Science And Technology of Sorocaba (ICTS)-
Formato: dc.format84-89-
Idioma: dc.languageen-
Relação: dc.relation2021 Latin American Robotics Symposium, 2021 Brazilian Symposium on Robotics, and 2021 Workshop on Robotics in Education, LARS-SBR-WRE 2021-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectCoverage path planning-
Palavras-chave: dc.subjectGrid-based coverage-
Palavras-chave: dc.subjectMonitoring-
Palavras-chave: dc.subjectRemote sensing-
Palavras-chave: dc.subjectUAV-
Título: dc.titleUnmanned Aerial Vehicle Framework for Algae Monitoring-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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