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作 者:阮国庆 易侃 孙家栋 张峰 吴蔚 李晓冬 RUAN Guoqing;YI Kan;SUN Jiadong;ZHANG Feng;WU Wei;LI Xiaodong(Science and Technology on Information Systems Engineering Laboratory,Nanjing 210023,China;Unit 75830 of PLA,Guangzhou 510030,China)
机构地区:[1]信息系统工程重点实验室,南京210023 [2]解放军75830部队,广州510030
出 处:《指挥信息系统与技术》2022年第3期17-22,共6页Command Information System and Technology
基 金:江苏省双创博士基金(JSSCB20211345)资助项目。
摘 要:随着智能化技术在军事领域的应用,智能战场感知技术研究成为了各军事强国关注的热点。首先,分析了传统战场感知技术面临的挑战,阐述了国内外对战场信息觉察、理解和预测的技术研究现状;然后,评析了美军的知识导向型人工智能推理模式(KAIROS)、盖亚(GAIA)、空域快速战术执行全面感知(ASTARTE)和可解释人工智能(XAI)等项目的进展情况;最后,对智能战场感知技术的发展趋势进行了展望。With the continuous application of new intelligent technology in the military field,the re⁃search of intelligent battlefield perception technology has become the focus of attention of military pow⁃ers.Firstly,the challenges faced by traditional battlefield perception technology are analyzed,and the research status of battlefield information awareness,understanding and prediction technology at home and abroad is expounded.Then,some projects are reviewed,such as the knowledge⁃directed artificial intelligence reasoning over schema(KAIROS)project,the GAIA project,the air space total aware⁃ness for rapid tactical execution(ASTARTE)project and the explainable artificial intelligence(XAI)project.Finally,the development trend of intelligent battlefield perception technology is prospected.
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