Unmanned Aerial Vehicle Framework for Algae Monitoring
dc.contributor.author | De Almeida, Aline Gabriel [UNESP] | |
dc.contributor.author | Do Nascimento, Eduardo Vieira | |
dc.contributor.author | Alvarez, Isaac Gaetani | |
dc.contributor.author | Kim, Pedro Henrique Correa | |
dc.contributor.author | Da Rocha, Lidia Gianne Souza | |
dc.contributor.author | Vivaldini, Kelen Cristiane Teixeira | |
dc.contributor.institution | Universidade Estadual Paulista (UNESP) | |
dc.contributor.institution | Universidade Federal de São Carlos (UFSCar) | |
dc.date.accessioned | 2022-04-28T19:50:02Z | |
dc.date.available | 2022-04-28T19:50:02Z | |
dc.date.issued | 2021-01-01 | |
dc.description.abstract | Several 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. | en |
dc.description.affiliation | Sãô Paulo State University (UNESP) Institute of Science And Technology of Sorocaba (ICTS) | |
dc.description.affiliation | Federal University of São Carlos (UFSCar) Department of Computer Science | |
dc.description.affiliation | Federal University of São Carlos (UFSCar) Sorocaba Computing Department | |
dc.description.affiliationUnesp | Sãô Paulo State University (UNESP) Institute of Science And Technology of Sorocaba (ICTS) | |
dc.format.extent | 84-89 | |
dc.identifier | http://dx.doi.org/10.1109/LARS/SBR/WRE54079.2021.9605379 | |
dc.identifier.citation | 2021 Latin American Robotics Symposium, 2021 Brazilian Symposium on Robotics, and 2021 Workshop on Robotics in Education, LARS-SBR-WRE 2021, p. 84-89. | |
dc.identifier.doi | 10.1109/LARS/SBR/WRE54079.2021.9605379 | |
dc.identifier.scopus | 2-s2.0-85123478157 | |
dc.identifier.uri | http://hdl.handle.net/11449/223326 | |
dc.language.iso | eng | |
dc.relation.ispartof | 2021 Latin American Robotics Symposium, 2021 Brazilian Symposium on Robotics, and 2021 Workshop on Robotics in Education, LARS-SBR-WRE 2021 | |
dc.source | Scopus | |
dc.subject | Coverage path planning | |
dc.subject | Grid-based coverage | |
dc.subject | Monitoring | |
dc.subject | Remote sensing | |
dc.subject | UAV | |
dc.title | Unmanned Aerial Vehicle Framework for Algae Monitoring | en |
dc.type | Trabalho apresentado em evento |