Capítulo de libro:
Multi-robot visual coverage path planning: Geometrical metamorphosis of the workspace through raster graphics based approaches
Multi-robot visual coverage path planning: Geometrical metamorphosis of the workspace through raster graphics based approaches
Año:2011
Áreas de investigación
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Ingenierías
Datos
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Descripción
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| Aerial multi-robot systems are a robust remote sensing choice to collect environmental data from the Earth?s surface. To accomplish this mission in a collaborative way, unmanned aerial vehicles must perform a full coverage trajectory over a target area while acquiring imagery of it. In this paper we address the multi coverage path planning problem with an aerial vehicles team. The approach proposed is hybrid, since is it is composed by an on-line and an off-line steps. This work is based on an optimal solution which is discretized to compute the coverage paths. This work proposes a multi coverage path planning solution making use of computer graphics tools in the world transformation from continuous to discrete, focusing on the aerial images acquisition. The workspace transformation from continuous to discrete is discussed and raster graphics based algorithms are employed. | |
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Internacional
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Si |
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DOI
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10.1007/978-3-642-21931-3_5 |
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Edición del Libro
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Editorial del Libro
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Springer Berlin / Heidelberg |
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ISBN
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978-3-642-21930-6 |
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Serie
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6784 |
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Título del Libro
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Lecture Notes in Computer Science |
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Desde página
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58 |
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Hasta página
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73 |
Participantes
- Autor: Joao Ricardo Pereira Valente (UPM)
- Autor: Antonio Barrientos Cruz (UPM)
- Autor: Jaime del Cerro Giner (UPM)
- Autor: Claudio Rossi (UPM)
- Autor: Julian David Colorado Montaño (UPM)
- Autor: David Sanz Muñoz (UPM)
- Autor: Mario Andrei Garzon Oviedo (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
- Creador: Grupo de Investigación: Robótica y Cibernética
- Centro o Instituto I+D+i: Centro de Automática y Robótica (CAR). Centro Mixto UPM-CSIC
- Departamento: Automática, Ingeniería Electrónica e Informática Industrial
S2i 2023 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)