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2. China Academy of Electronics and Information Technology, China Electroncs Technology Group Corporation, Beijing 100041, China;
3. Shenyang Aircraft Design and Research Institute, Aviation Industry Corporation of China, Shenyang 110035, China;
4. College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 21006, China;
5. College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China;
6. School of Aerospace Engineering, Xiamen University, Xiamen 361102, China, fund=null, authors=DUAN Haibin1, SHEN Yankai1, ZHAO Yanjie2, FAN Yanming3, WANG Yin4, NIU Yifeng5, WEI Chen1, LUO Delin6, authorsList=DUAN Haibin, SHEN Yankai, ZHAO Yanjie, FAN Yanming, WANG Yin, NIU Yifeng, WEI Chen, LUO Delin), CN=ArticleExt(id=1242138018270749164, articleId=1242138011425648748, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=2019年无人机热点回眸, columnId=1242137969629409298, journalTitle=科技导报, columnName=专题:2019年科技回眸, runingTitle=null, highlight=null, articleAbstract=在科技创新牵引和管控政策的推动下,无人机产业焕发出新的活力。2019年,无人机自主控制及应用技术又取得长足发展,呈现出一些新的发展态势。从无人机新战略、无人机赛事、技术革新、实战化等多个角度,对2019年无人机的科技热点及发展趋势进行了总结。分析表明,无人机集群智能作为一项颠覆性技术和作战理念,将成为未来无人机研究发展的重要方向。, correspAuthors=null, authorNote=段海滨,教授,研究方向为无人机集群仿生自主控制、计算机仿生视觉和仿生智能计算,电子信箱:hbduan@buaa.edu.cn, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=/Vx86aOK3m6vDU+pbytbLw==, pdfFileSize=5681540, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=1. 北京航空航天大学自动化科学与电气工程学院, 北京 100083;
2. 中国电子科技集团公司电子科学研究院, 北京 100041;
3. 中国航空工业集团公司沈阳飞机设计研究所, 沈阳 110035;
4. 南京航空航天大学航天学院, 南京 210016;
5. 国防科技大学智能科学学院, 长沙 410073;
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科技导报 | 专题:2019年科技回眸 2020,38(1): 170-187
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科技导报 | 专题:2019年科技回眸 2020, 38(1): 170-187
2019年无人机热点回眸
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段海滨1, 申燕凯1, 赵彦杰2, 范彦铭3, 王寅4, 牛轶峰5, 魏晨1, 罗德林6
作者信息
    1. 北京航空航天大学自动化科学与电气工程学院, 北京 100083;
    2. 中国电子科技集团公司电子科学研究院, 北京 100041;
    3. 中国航空工业集团公司沈阳飞机设计研究所, 沈阳 110035;
    4. 南京航空航天大学航天学院, 南京 210016;
    5. 国防科技大学智能科学学院, 长沙 410073;
    6. 厦门大学航空航天学院, 厦门 361102
Review of technological hotspots of unmanned aerial vehicle in 2019
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出版时间: 2020-01-13 doi: 10.3981/j.issn.1000-7857.2020.01.015
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在科技创新牵引和管控政策的推动下,无人机产业焕发出新的活力。2019年,无人机自主控制及应用技术又取得长足发展,呈现出一些新的发展态势。从无人机新战略、无人机赛事、技术革新、实战化等多个角度,对2019年无人机的科技热点及发展趋势进行了总结。分析表明,无人机集群智能作为一项颠覆性技术和作战理念,将成为未来无人机研究发展的重要方向。
无人机  /  自主控制  /  集群智能  /  科技热点
Under the promotion of science and technology innovation and relevant policies, the UAV industry will gain new vigor and vitality. In 2019, unmanned aerial vehicle (UAV) autonomous control and application technology has achieved great progress and presents some new trends in the meantime. This paper summarizes and analyzes the hot topics and the new development trends of UAV in 2019 from the viewpoints including UAV new strategies, UAV competition events, technological innovations and practical applications. As a subversive technology and combat operational concept, UAV swarm intelligence will become an important research direction for future UAV development.
unmanned aerial vehicle  /  autonomous control  /  swarm intelligence  /  technological hotspots
段海滨, 申燕凯, 赵彦杰, 范彦铭, 王寅, 牛轶峰, 魏晨, 罗德林. 2019年无人机热点回眸. 科技导报, 2020 , 38 (1) : 170 -187 . DOI: 10.3981/j.issn.1000-7857.2020.01.015
DUAN Haibin, SHEN Yankai, ZHAO Yanjie, FAN Yanming, WANG Yin, NIU Yifeng, WEI Chen, LUO Delin. Review of technological hotspots of unmanned aerial vehicle in 2019[J]. Science & Technology Review, 2020 , 38 (1) : 170 -187 . DOI: 10.3981/j.issn.1000-7857.2020.01.015
2020年第38卷第1期
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doi: 10.3981/j.issn.1000-7857.2020.01.015
  • 接收时间:2019-12-21
  • 首发时间:2020-02-29
  • 出版时间:2020-01-13
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  • 收稿日期:2019-12-21
  • 修回日期:2020-01-02
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

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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