UAV Path Planning Based on Event Density Detection
Roberto Henriques, Fernando Bação, Victor J. A. S. Lobo · 2009
The method proposed in this paper supports the UAV network path definition in an autonomously way, taking into consideration the density of the detected events at each moment, in each place. We use the self-organizing maps to detect event patterns in the field of view of the sensors, allowing unmanned aerial vehicles(UAV) path definition based on events. The goal of this paper is to maximize the detection of ships using a UAV network.