DocumentCode
2725371
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
fYear
2009
fDate
1-7 Feb. 2009
Firstpage
112
Lastpage
116
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/GEOWS.2009.23
Filename
4782701
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