Title :
UAV Path Planning Based on Event Density Detection
Author :
Henriques, Roberto ; Bacao, Fernando ; Lobo, Victor
Author_Institution :
Inst. Super. de Estatistica e Gestao de Informacao, Lisbon
Abstract :
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.
Keywords :
path planning; remotely operated vehicles; self-organising feature maps; UAV network path definition; UAV path planning; event density detection; self-organizing maps; unmanned aerial vehicles; Costs; Event detection; Marine vehicles; Monitoring; Path planning; Self organizing feature maps; Surveillance; Trajectory; Unmanned aerial vehicles; Vehicle detection; UAV planning; event detection; self-organizing maps;
Conference_Titel :
Advanced Geographic Information Systems & Web Services, 2009. GEOWS '09. International Conference on
Conference_Location :
Cancun
Print_ISBN :
978-1-4244-3363-6
Electronic_ISBN :
978-0-7695-3527-2
DOI :
10.1109/GEOWS.2009.23
