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作 者:Xinde LI Fir DUNKIN Jean DEZERT
机构地区:[1]School of Automation,Southeast University,Nanjing 210008,China [2]Nanjing Center for Applied Mathematics,Nanjing 211135,China [3]Key Laboratory of Measurement and Control of CSE,Ministry of Education,Nanjing 210096,China [4]Southeast University Shenzhen Research Institute,Shenzhen 518063,China [5]Information Modeling and Processing Department,ONERA,Palaiseau 92320,France
出 处:《Chinese Journal of Aeronautics》2024年第7期24-58,共35页中国航空学报(英文版)
基 金:co-supported by the National Natural Science Foundation of China(Nos.62233003 and 62073072);the Key Projects of Key R&D Program of Jiangsu Province,China(Nos.BE2020006 and BE2020006-1);the Shenzhen Science and Technology Program,China(Nos.JCYJ20210324132202005 and JCYJ20220818101206014).
摘 要:Multi-Source Information Fusion(MSIF),as a comprehensive interdisciplinary field based on modern information technology,has gained significant research value and extensive application prospects in various domains,attracting high attention and interest from scholars,engineering experts,and practitioners worldwide.Despite achieving fruitful results in both theoretical and applied aspects over the past five decades,there remains a lack of comprehensive and systematic review articles that provide an overview of recent development in MSIF.In light of this,this paper aims to assist researchers and individuals interested in gaining a quick understanding of the relevant theoretical techniques and development trends in MSIF,which conducts a statistical analysis of academic reports and related application achievements in the field of MSIF over the past two decades,and provides a brief overview of the relevant theories,methodologies,and application domains,as well as key issues and challenges currently faced.Finally,an analysis and outlook on the future development directions of MSIF are presented.
关 键 词:Multi-sensor system Information fusion Artificial intelligence Pattern recognition Human-machine integration
分 类 号:V35[航空宇航科学与技术—人机与环境工程]
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