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Recent advances in artificial intelligence and high performance computing technologies provide an opportunity for the further development of autonomous UAS. 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columnId=1242116902361830275, journalTitle=科技导报, columnName=专题论文, runingTitle=null, highlight=null, articleAbstract=无人机飞行环境的高度动态性、不确定性和复杂性是无人机自主控制技术发展面临的主要问题。人工智能和高性能计算技术的进步为创造拥有高度自主能力的无人机提供了有利条件。本文介绍了无人机自主控制的定义和内涵，对无人机自主控制关键技术的发展现状进行了总结，并从“智商”、“情商”和“逆商”的角度提出了无人机自主控制研究的主要挑战和解决途径。, correspAuthors=null, authorNote=石鹏飞,研究员,研究方向为飞行控制,电子信箱:pfshi@facri.com, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=1qq5zhgxwHuDVrS64kRF7w==, pdfFileSize=2721101, 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=中航工业西安飞行自动控制研究所, 西安 710065, fund=null, authors=石鹏飞, authorsList=石鹏飞)}, authors=null, keywords=[Keyword(id=1242135914101678643, tenantId=1146029695717560320, journalId=1146031591421210625, 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