UAV path planning based on event density detection

被引：3
|
作者：
Henriques, Roberto [1 ]
Bacao, Fernando [1 ]
Lobo, Victor [2 ]
机构：
[1] Inst Super Estat & Gestao Informacao ISEGIUNL, Lisbon, Portugal
[2] Portuguese Naval Acad, Lisbon, Portugal
来源：
INTERNATIONAL CONFERENCE ON ADVANCED GEOGRAPHIC INFORMATION SYSTEMS AND WEB SERVICES: GEOWS 2009, PROCEEDINGS | 2009年
关键词：
UAV planning; self-organizing maps; event density;
D O I：
10.1109/GEOWS.2009.23
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：112 / +
页数：3
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