Search using a swarm of unmanned aerial vehicles

被引：0
|
作者：
Sulak, Viktor [1 ]
Kotuliak, Ivan [1 ]
Cicak, Pavel [1 ]
机构：
[1] Slovak Univ Technol Bratislava, Fac Informat & Informat Technol, Bratislava, Slovakia
来源：
2017 15TH IEEE INTERNATIONAL CONFERENCE ON EMERGING ELEARNING TECHNOLOGIES AND APPLICATIONS (ICETA 2017) | 2017年
关键词：
drone; robots; search; manet; fanet;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Unmanned aerial vehicles are becoming an effective platform to perform all kinds of civil missions nowadays. This paper focuses on path planning for multiple unmanned aerial vehicles devices performing search missions. This planning consists of several logical steps - first, an area must be split into smaller logical areas, then the search algorithm is selected, ground path is generated and transformed into aerial path. All these steps are described and the most common approaches are detailed. We also mention approaches to create network using drones to further optimize search procedure.
引用
收藏
页码：463 / 468
页数：6
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