火力与指挥控制2024，Vol.49Issue(3)：88-94,7.DOI:10.3969/j.issn.1002-0640.2024.03.012
军用无人系统协同感知与分布式滤波技术
Collaborative Perception and Distributed Filtering Technology for Military Unmanned Systems
摘要
Abstract
Modern warfare is transforming from mechanization to unmanned,and the development of artificial intelligence,big data and other technologies makes the future form of warfare inevitably show the characteristics of bionic intelligence.The premise of carrying out typical regional joint operations through satellite data links for payload strike platforms such as bionic unmanned aerial vehicles and intelligent unmanned vehicles is to know the accurate location information of both ourselves and the enemy.Focusing on the evolution history and development trend of the military unmanned motion platform,the composition and characteristics of the unmanned system are summarized,and then it is pointed out that multi-sensor collaborative perception is the main form of information acquisition,and the position and attitude of the platform are obtained through distributed filtering processing.The multi-platform collaborative perception capability,collaborative estimation strategy and SLAM technology are analyzed and summarized,and such technologies as collaborative cognition integrating deep intelligence,data-driven and multi-source multi-modal fusion,etc.are the core keys to improve the effectiveness of unmanned combat.关键词
无人平台/协同感知/分布式滤波/智能认知Key words
unmanned platform/collaborative perception/distributed filtering/intelligent cognition分类
信息技术与安全科学引用本文复制引用
李诗航,孙玉洁,崔建峰,曾建潮,卢志刚..军用无人系统协同感知与分布式滤波技术[J].火力与指挥控制,2024,49(3):88-94,7.基金项目
国家自然科学基金(61903343) （61903343）
装备预先研究资助项目(315197203) （315197203）
