Article(id=1242139653780874228, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242139619668603157, articleNumber=null, orderNo=18, doi=10.3981/j.issn.1000-7857.2022.01.016, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1638806400000, receivedDateStr=2021-12-07, revisedDate=1640793600000, revisedDateStr=2021-12-30, acceptedDate=null, acceptedDateStr=null, onlineDate=1645161084237, onlineDateStr=2022-02-18, pubDate=1642003200000, pubDateStr=2022-01-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1645161084237, onlineIssueDateStr=2022-02-18, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078771297, creator=sys-migrate, updateTime=1774078771297, updator=sys-migrate, issue=Issue{id=1242139619668603157, tenantId=1146029695717560320, journalId=1146031591421210625, year='2022', volume='40', issue='1', pageStart='1', pageEnd='236', issueExtLink='null', onlineDate='null', pubDate='1642003200000', pubDateStr='2022-01-13', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078763163, creator='sys-migrate', updateTime=1774078763163, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=215, endPage=227, ext={EN=ArticleExt(id=1242139658507853842, articleId=1242139653780874228, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Review of technological hotspots of unmanned aerial vehicle in 2021, columnId=1242139626496930098, journalTitle=Science & Technology Review, columnName=Exclusive: Science and Technology Review in 2021, runingTitle=null, highlight=null, articleAbstract=With the development of artificial intelligence and enhancement of airborne task platform performance, the unmanned aerial vehicle (UAV) technology and its application have presented a new development situation. This paper summarizes and analyzes the technological hotspots of UAVs in 2021 with respect to UAV regulations, autonomous control technologies, antiUAV technologies and application fields for UAVs. Artificial intelligence and visual navigation technology not only enable UAVs to acquire more powerful functions but also largely extend and deepen the comprehensive application field. Especially, the human-robot will be getting closer and closer with the constant improvement of human-robot interaction technology. In summary, UAVs will be more miniaturized, clustered, intelligent and cross-domain. The deep integration with artificial intelligence and cross-platform practical applications of UAVs are still hotspots for the present and future., authors=DUAN Haibin1 , HE Hangxuan1 , ZHAO Yanjie2 , WANG Yin3 , NIU Yifeng4 , YUAN Wanmai2 , DENG Yimin1 , FAN Yanming5 , WEI Chen1 , LUO Delin6 , authorsList=DUAN Haibin, HE Hangxuan, ZHAO Yanjie, WANG Yin, NIU Yifeng, YUAN Wanmai, DENG Yimin, FAN Yanming, WEI Chen, LUO Delin, authorCompany=1. Bio-inspired Autonomous Flight System (BAFS) Research Group, School of Automation Science and Electrical Engineering, Beihang University, Beijing 100083, China;
2. Information Science Academy of China Electronics Technology Group Corporation, Beijing 100086, China;
3. College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
4. College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China;
5. Shenyang Aircraft Design and Research Institute, Aviation Industry Corporation of China, Shenyang 110035, China;
6. School of Aerospace Engineering, Xiamen University, Xiamen 361102, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=e60HpL+kwWCv7Wy5pG/8vA==, pdfFileSize=2209733, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242139655995465736, articleId=1242139653780874228, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=2021年无人机热点回眸, columnId=1242139624211034407, journalTitle=科技导报, columnName=专题:2021年科技热点回眸, runingTitle=null, highlight=null, articleAbstract=随着人工智能技术的发展以及机载任务平台性能的提升,2021年无人机技术与应用呈现新的发展态势。从无人机政策法规、自主控制、反无人机、应用领域等多方面回眸了2021年无人机的技术研究热点,分析了无人机技术领域未来的发展动向。人工智能、视觉导航等技术使无人机综合能力更加强大,也使其应用领域向更宽、更深、更综合方向拓展,尤其是人与机器人的共融联系随着人机交互技术的提升也更为紧密。综合而言,无人机向微型化、集群化、智能化、跨域化发展是必然趋势,无人机与人工智能的深度融合与跨平台实际应用仍然是当今和未来的研究热点。, authors=段海滨1 , 何杭轩1 , 赵彦杰2 , 王寅3 , 牛轶峰4 , 袁莞迈2 , 邓亦敏1 , 范彦铭5 , 魏晨1 , 罗德林6 , authorsList=段海滨, 何杭轩, 赵彦杰, 王寅, 牛轶峰, 袁莞迈, 邓亦敏, 范彦铭, 魏晨, 罗德林, authorCompany=1. 北京航空航天大学自动化科学与电气工程学院仿生自主飞行系统研究组, 北京 100083;
2. 中国电子科技集团公司信息科学研究院, 北京 100086;
3. 南京航空航天大学航天学院, 南京 210016;
4. 国防科技大学智能科学学院, 长沙 410073;
5. 中国航空工业集团公司沈阳飞机设计研究所, 沈阳 110035;
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科技导报
| 专题:2021年科技热点回眸 2022, 40(1): 215-227
2021年无人机热点回眸
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段海滨1 , 何杭轩1 , 赵彦杰2 , 王寅3 , 牛轶峰4 , 袁莞迈2 , 邓亦敏1 , 范彦铭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仿生自主飞行系统研究组, 北京 100083;
2. 中国电子科技集团公司信息科学研究院, 北京 100086;
3. 南京航空航天大学航天学院, 南京 210016;
4. 国防科技大学智能科学学院, 长沙 410073;
5. 中国航空工业集团公司沈阳飞机设计研究所, 沈阳 110035;
6. 厦门大学航空航天学院, 厦门 361102
Review of technological hotspots of unmanned aerial vehicle in 2021
Affiliations
出版时间: 2022-01-13
doi: 10.3981/j.issn.1000-7857.2022.01.016
文章导航
随着人工智能技术的发展以及机载任务平台性能的提升,2021年无人机技术与应用呈现新的发展态势。从无人机政策法规、自主控制、反无人机、应用领域等多方面回眸了2021年无人机的技术研究热点,分析了无人机技术领域未来的发展动向。人工智能、视觉导航等技术使无人机综合能力更加强大,也使其应用领域向更宽、更深、更综合方向拓展,尤其是人与机器人的共融联系随着人机交互技术的提升也更为紧密。综合而言,无人机向微型化、集群化、智能化、跨域化发展是必然趋势,无人机与人工智能的深度融合与跨平台实际应用仍然是当今和未来的研究热点。
With the development of artificial intelligence and enhancement of airborne task platform performance, the unmanned aerial vehicle (UAV) technology and its application have presented a new development situation. This paper summarizes and analyzes the technological hotspots of UAVs in 2021 with respect to UAV regulations, autonomous control technologies, antiUAV technologies and application fields for UAVs. Artificial intelligence and visual navigation technology not only enable UAVs to acquire more powerful functions but also largely extend and deepen the comprehensive application field. Especially, the human-robot will be getting closer and closer with the constant improvement of human-robot interaction technology. In summary, UAVs will be more miniaturized, clustered, intelligent and cross-domain. The deep integration with artificial intelligence and cross-platform practical applications of UAVs are still hotspots for the present and future.
unmanned aerial vehicle
/
policy and regulation
/
technological hotspots
/
swarm intelligence
段海滨, 何杭轩, 赵彦杰, 王寅, 牛轶峰, 袁莞迈, 邓亦敏, 范彦铭, 魏晨, 罗德林.
2021年无人机热点回眸.
科技导报,
2022
, 40
(1)
: 215
-227
.
DOI: 10.3981/j.issn.1000-7857.2022.01.016
DUAN Haibin, HE Hangxuan, ZHAO Yanjie, WANG Yin, NIU Yifeng, YUAN Wanmai, DENG Yimin, FAN Yanming, WEI Chen, LUO Delin.
Review of technological hotspots of unmanned aerial vehicle in 2021[J].
Science & Technology Review ,
2022
, 40
(1)
: 215
-227
.
DOI: 10.3981/j.issn.1000-7857.2022.01.016
2022年第40卷第1期
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文章信息
doi: 10.3981/j.issn.1000-7857.2022.01.016
接收时间:2021-12-07
首发时间:2022-02-18
出版时间:2022-01-13
收稿日期:2021-12-07
修回日期:2021-12-30
https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2022.01.016
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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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