title: Coastal Areas Division and Coverage with Multiple UAVs for Remote Sensing.
abstract: This paper tackles the problems of exact cell decomposition and partitioning of a coastal region for a team of heterogeneous Unmanned Aerial Vehicles (UAVs) with an approach that takes into account the field of view or sensing radius of the sensors on-board. An initial sensor-based exact cell decomposition of the area aids in the partitioning process, which is performed in two steps. In the first step, a growing regions algorithm performs an isotropic partitioning of the area based on the initial locations of the UAVs and their relative capabilities. Then, two novel algorithms are applied to compute an adjustment of this partitioning process, in order to solve deadlock situations that generate non-allocated regions and sub-areas above or below the relative capabilities of the UAVs. Finally, realistic simulations have been conducted for the evaluation of the proposed solution, and the obtained results show that these algorithms can compute valid and sound solutions in complex coastal region scenarios under different setups for the UAVs.
authors.affiliation: Robotics, Vision and Control Group, Universidad de Sevilla, Avda. de los Descubrimientos s/n, 41092 Seville, Spain. fbalampanis@us.es.
authors.forename: Fotios
authors.initials: F
authors.lastname: Balampanis
authors.affiliation: Robotics, Vision and Control Group, Universidad de Sevilla, Avda. de los Descubrimientos s/n, 41092 Seville, Spain. imaza@us.es.
authors.forename: Iván
authors.initials: I
authors.lastname: Maza
authors.affiliation: Robotics, Vision and Control Group, Universidad de Sevilla, Avda. de los Descubrimientos s/n, 41092 Seville, Spain. aollero@us.es.
authors.forename: Aníbal
authors.initials: A
authors.lastname: Ollero
keywords: Unmanned Aerial Vehicles; area partition; cell decomposition; remote sensors