基于新一代通信技术的无人机系统群体智能方法综述  

Overview of swarm intelligence methods for unmanned aerial vehicle systems based on new-generation information technology

作　　者：潘弘洋 刘昭 杨波 孙庚[1] 刘衍珩[1,2] PAN Hong-yang;LIU Zhao;YANG Bo;SUN Geng;LIU Yan-heng(College of Computer Science and Technology,Jilin University,Changchun 130012,China;College of Information andEngineering,Changchun University of Finance and Economics,Changchun 130122,China)

机构地区：[1]吉林大学计算机科学与技术学院,长春130012 [2]长春财经学院信息工程学院,长春130122

出　　处：《吉林大学学报（工学版）》2023年第3期629-642,共14页Journal of Jilin University:Engineering and Technology Edition

基　　金：国家自然科学基金面上项目(62172186);吉林省科技发展重点项目(20210201072GX)。

摘　　要：以群体智能在无人机领域的应用场景为脉络,对群体智能方法在无人机领域的应用进行综述。首先,回顾近年来无人机的应用状况,介绍了群体智能算法原理及无人机应用示例。其次,将群体智能在无人机的应用场景分为基于群体智能的无人机无线通信、基于群体智能的无人机自组网、基于群体智能的无人机轨迹规划和基于群体智能的无人机智能决策4个部分,并分别介绍了各自相关研究工作的进展。最后,对无人机群体智能的发展趋势进行简要探讨。Based on the application scenarios of swarm intelligence in the field of UAVs,the application of swarm intelligence methods in the field of UAVs was reviewed.First,the recent application status of UAVs was reviewed,and the principles of swarm intelligence algorithms and examples of UAV applications were introduced.Second,the application scenarios of swarm intelligence in UAVs were divided into four parts:swarm intelligence-based UAV wireless communication,swarm intelligence-based UAV ad hoc network,swarm intelligence-based UAV trajectory planning,and swarm intelligence-based UAV intelligent decision-making.The progress of relevant research work for each part is introduced separately.Finally,a brief discussion is conducted on the development trend of swarm intelligence for UAVs.

关 键 词：计算机应用 无人机 群体智能 轨迹规划 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]