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Forest Fire Monitoring and Detection using a Network of Autonomous Vehicles
Abstract
front in their assigned region and these maps are updated based on the measurements of their sensors during the mission. Using the updated information, a Voronoi-based control strategy is then proposed to modify the configuration of vehicles in such a way that a prescribed cost function is minimized and vehicles monitor the fire fronts more efficiently. The numerical simulations confirm the effectiveness of the proposed approach and show how the vehicles can easily detect and track the fire fronts.
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DOI: http://dx.doi.org/10.21535%2FProICIUS.2014.v10.302
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