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科技导报
| 综述 2018, 36(21): 90-98
无人机自主集群技术研究展望
全屏
段海滨, 邱华鑫, 陈琳, 魏晨
作者信息
北京航空航天大学自动化科学与电气工程学院, 飞行器控制一体化技术国防科技重点实验室, 北京 100083
Prospects on unmanned aerial vehicle autonomous swarm technology
Affiliations
出版时间: 2018-11-13
doi: 10.3981/j.issn.1000-7857.2018.21.012
文章导航
动态不确定环境和复杂任务决定了无人机系统势必朝着集群化、自主化和智能化方向发展,具备共识自主性的无人机集群可无需任何集中规划或直接通信完成复杂智能行为。从无人机自主性内涵出发,讨论了无人机自主集群的概念、特点、优势及可能的作战形式,从人机共融、变体设计、人工智能和集群对抗方面探讨了无人机自主集群的发展趋势及无人机集群应对反无人机技术的必要性,从军用和民用领域分析了无人机自主集群的可能应用前景,从战略规划、研发模式、系统协调、交叉学科、国防应用及市场培育等方面探讨了无人机自主集群技术的发展方向。
无人机
/
自主集群
/
共识自主性
/
人工智能
/
人机共融
Swarm, autonomy and intelligence are the development directions of unmanned aerial vehicle (UAV) systems in dynamic and uncertain environments and for complex tasks. The UAV swarm with stigmergy can perform complex intelligent behaviors without any centralized planning or direct communication. Starting with the connotation of UAV autonomy,this paper discusses the concept, characteristic, advantage and possible combat form of UAV autonomous swarm. Then the UAV autonomous swarm development tendency is analyzed from the following aspects:manned/unmanned aerial vehicle integration, morphing aircraft design, artificial intelligence and swarm conflict. The technology development necessity of UAV swarm against anti-UAV technology is also analyzed. Next, the possible application prospect of UAV is described from military fields and civilian fields. Finally,the development direction of UAV autonomous swarm is summarized in terms of strategic planning, research mode, system coordination, interdiscipline, defense applications and market cultivation.
unmanned aerial vehicle
/
autonomous cluster
/
stigmergy
/
artificial intelligence
/
manned/unmanned aerial vehicle integration
段海滨, 邱华鑫, 陈琳, 魏晨.
无人机自主集群技术研究展望.
科技导报,
2018
, 36
(21)
: 90
-98
.
DOI: 10.3981/j.issn.1000-7857.2018.21.012
DUAN Haibin, QIU Huaxin, CHEN Lin, WEI Chen.
Prospects on unmanned aerial vehicle autonomous swarm technology[J].
Science & Technology Review ,
2018
, 36
(21)
: 90
-98
.
DOI: 10.3981/j.issn.1000-7857.2018.21.012
2018年第36卷第21期
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文章信息
doi: 10.3981/j.issn.1000-7857.2018.21.012
接收时间:2018-07-05
首发时间:2018-11-27
出版时间:2018-11-13
收稿日期:2018-07-05
修回日期:2018-10-16
https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2018.21.012
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2种不同金属材料的力学参数
科 Family 属数 Number of genus 种数 Number of species 占总种数比例 Percentage of total species (%) 属 Genus 种数 Number of species 占总种数比例 Percentage of total species (%) 鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78 小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39 多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39 红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87 小菇属 Mycena 11 5.26 光柄菇属 Pluteus 5 2.39 红菇属 Russula 17 8.13 栓菌属 Trametes 5 2.39
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