Article(id=1242140280984511122, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242140238961783667, articleNumber=null, orderNo=18, doi=10.3981/j.issn.1000-7857.2023.01.016, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1669824000000, receivedDateStr=2022-12-01, revisedDate=1672848000000, revisedDateStr=2023-01-05, acceptedDate=null, acceptedDateStr=null, onlineDate=1676007035757, onlineDateStr=2023-02-10, pubDate=1673539200000, pubDateStr=2023-01-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1676007035757, onlineIssueDateStr=2023-02-10, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078920833, creator=sys-migrate, updateTime=1774078920833, updator=sys-migrate, issue=Issue{id=1242140238961783667, tenantId=1146029695717560320, journalId=1146031591421210625, year='2023', volume='41', issue='1', pageStart='1', pageEnd='260', issueExtLink='null', onlineDate='null', pubDate='1673539200000', pubDateStr='2023-01-13', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078910815, creator='sys-migrate', updateTime=1774078910815, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=215, endPage=229, ext={EN=ArticleExt(id=1242140287313719332, articleId=1242140280984511122, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Review of technological hotspots of unmanned aerial vehicle in 2022, columnId=1242140251649548853, journalTitle=Science & Technology Review, columnName=Exclusive: Science and Technology Review in 2022, runingTitle=null, highlight=null, articleAbstract=Unmanned aerial vehicle (UAV) developed fast and made a series of breakthroughs in 2022. This paper summarizes and analyses UAV hotspots and trends in 2022 in terms of UAV regulations, design and realization, key technologies, humanrobot interaction and anti-UAV technologies. With the progress and popularization of visual navigation technology and artificial intelligence technology, the comprehensive capability of UAVs continued to improve and their application fields kept on expanding. Key technologies, platform construction and task-executing styles of UAV swarm were constantly improving, and UAV swarm became more automated, intelligent, cross-domain, clusterized and systematized., authors=DUAN Haibin¹, HE Hangxuan¹, ZHAO Yanjie², WANG Yin³, Huo Mengzhen¹, NIU Yifeng⁴, FAN Yanming⁵, ZHU Jihong⁶, YUAN Wanmai², DENG Yimin¹, LI Xuan⁷, LUO Delin⁸, authorsList=DUAN Haibin, HE Hangxuan, ZHAO Yanjie, WANG Yin, Huo Mengzhen, NIU Yifeng, FAN Yanming, ZHU Jihong, YUAN Wanmai, DENG Yimin, LI Xuan, 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. Artificial Intelligence Institute 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. Department of Precision Instrument, Tsinghua University, Beijing 100084, China;
7. Virtual Reality Fundamental Research Laboratory, Department of Mathematics and Theories, Peng Cheng Laboratory, Shenzhen 518000, China;
8. 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=8ncY6f0IR+zDOhQp6Q1VTA==, pdfFileSize=3874079, 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=1242140284679696406, articleId=1242140280984511122, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=2022年无人机热点回眸, columnId=1242140248948417060, journalTitle=科技导报, columnName=专题：2022年科技热点回眸, runingTitle=null, highlight=null, articleAbstract=2022年，无人机技术研究加速推进，并取得了一系列突破性进展。从无人机政策法规、设计实现、关键技术、人机交互、反无人机等方面回顾了2022年无人机领域热点和动向。随着视觉导航、人工智能技术的进步与普及，无人机综合能力不断提升，应用领域持续扩大，无人机集群关键技术、平台建设与执行任务样式不断完善，自主化、智能化、跨域化、集群化、体系化是当前无人机的技术发展趋势。, authors=段海滨¹, 何杭轩¹, 赵彦杰², 王寅³, 霍梦真¹, 牛轶峰⁴, 范彦铭⁵, 朱纪洪⁶, 袁莞迈², 邓亦敏¹, 李轩⁷, 罗德林⁸, authorsList=段海滨, 何杭轩, 赵彦杰, 王寅, 霍梦真, 牛轶峰, 范彦铭, 朱纪洪, 袁莞迈, 邓亦敏, 李轩, 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智能科技研究院, 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. 清华大学精密仪器系, 北京 100084;
7. 鹏城实验室数学与理论部, 虚拟现实基础研究室, 深圳 518000;
8. 厦门大学航空航天学院, 厦门 361102, correspAuthors=null, authorNote=段海滨,教授,研究方向为无人机仿生自主控制、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=Xsc3h+dHEJF9fAcSB3gRyw==, pdfFileSize=3874079, 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=科技部科技创新2030-"新一代人工智能"重大项目（2018AAA0102403）；国家自然科学基金项目（91948204，U19B2029，61876187，T2121003，U20B2071）)}, authors=null, keywords=[Keyword(id=1242140284235100173, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242140280984511122, language=CN, orderNo=1, keyword=无人机), Keyword(id=1242140284331569167, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242140280984511122, language=CN, orderNo=1, keyword=行业规范), 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