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Descripción
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| This paper tackles the problem of computing safe coverage trajectories for a fleet of unmanned aerial vehicles (UAVs) on large areas. The solution proposed is based on a evolutionary optimization algorithm denoted as Harmony Search (HS). The resulting algorithm has been entitled as m-CPP (Meta-heuristic Coverage Path Planning) algorithm. Results obtained by applying this approach have been compared with former heuristic-based methods. Finally, safety restrictions have been applied to allow near optimal and safe coverage flights cooperatively. Complete safe coverage missions have been planned in order to be performed by teams of quad-rotors by applying the proposed approach | |
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Internacional
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Si |
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Nombre congreso
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23rd International Conference on Automated Planning and Scheduling (ICAPS'13), Proceedings of the 1st Workshop on Planning and Robotics (PlanRob) |
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Tipo de participación
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960 |
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Lugar del congreso
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Roma |
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Revisores
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Si |
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ISBN o ISSN
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978-1-57735-609-7 |
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DOI
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Fecha inicio congreso
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10/06/2013 |
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Fecha fin congreso
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10/06/2013 |
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Desde la página
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72 |
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Hasta la página
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78 |
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Título de las actas
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ICAPS'13 |