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密集环境中无人机协同机动飞行运动规划方法综述
引用本文:牛轶峰,刘天晴,李杰,贾圣德.密集环境中无人机协同机动飞行运动规划方法综述[J].国防科技大学学报,2022,44(4):1-12.
作者姓名:牛轶峰  刘天晴  李杰  贾圣德
作者单位:国防科技大学 智能科学学院, 湖南 长沙 410073
基金项目:国家自然科学基金资助项目(61876187,61806217) 〖
摘    要:从单无人机机动飞行向多机协同扩展的通用规划框架出发,介绍了其中各模块相关研究的基本原理、代表性方法和前沿研究,主要包括用于环境障碍感知的实时导航地图构建、离散空间的路径规划、连续空间的轨迹规划、基于离散连续混合空间的规划、多航迹或轨迹的协同规划。综合无人机通用规划框架的关键技术,提出了无人机协同机动规划下一步需要重点研究的方向。

关 键 词:无人机  协同控制  运动规划  机动飞行  密集环境  避障
收稿时间:2021/11/23 0:00:00

Review on motion planning methods for unmanned aerial vehicle cooperative maneuvering flight in cluttered environment
NIU Yifeng,LIU Tianqing,LI Jie,JIA Shengde.Review on motion planning methods for unmanned aerial vehicle cooperative maneuvering flight in cluttered environment[J].Journal of National University of Defense Technology,2022,44(4):1-12.
Authors:NIU Yifeng  LIU Tianqing  LI Jie  JIA Shengde
Institution:College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China
Abstract:The basic principle, representative methods, and state-of-the-art research of the sub-module related research within the general framework of cooperative maneuvering flight planning from single UAV (unmanned aerial vehicle) maneuvering flight to multi-UAV cooperative planning were introduced. It mainly included real-time navigation map construction, discrete-space path planning, continuous-space trajectory planning, hybrid planning based on discrete-space and continuous-space, and multi-courses/trajectories cooperative planning. The next research directions were proposed based on the major technologies of the planning framework.
Keywords:unmanned aerial vehicle  cooperative control  motion planning  maneuvering flight  cluttered environment  obstacle avoidance
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