群体智能
群体行为
计算机科学
图层(电子)
聚类分析
透视图(图形)
计算智能
人工智能
开放式研究
自治
群机器人
数据科学
机器学习
粒子群优化
化学
有机化学
万维网
政治学
法学
作者
Yongkun Zhou,Bin Rao,Wei Wang
出处
期刊:IEEE Access
[Institute of Electrical and Electronics Engineers]
日期:2020-01-01
卷期号:8: 183856-183878
被引量:286
标识
DOI:10.1109/access.2020.3028865
摘要
The dynamic uncertain environment and complex tasks determine that the unmanned aerial vehicle (UAV) system is bound to develop towards clustering, autonomy, and intelligence. In this article, we present a comprehensive survey of UAV swarm intelligence from the hierarchical framework perspective. Firstly, we review the basics and advances of UAV swarm intelligent technology. Then we look inside to investigate the research work by classifying UAV swarm intelligence research into five layers, i.e., decision-making layer, path planning layer, control layer, communication layer, and application layer. Furthermore, the relationship between each level is explicitly illustrated, and the research trends of each layer are given. Finally, limitations and possible technology trends of swarm intelligence are also covered to enable further research interests. Through this in-depth literature review, we intend to provide novel insights into the latest technologies in UAV swarm intelligence.
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