摘要
针对有人机和无人机协同执行探测任务中,无人机使用可见光传感器对目标进行抵近查证的航路自动规划需求,基于对可见光传感器成像影响因素的分析,结合无人机传感器性能、飞行性能以及与有人机的通信约束、敌方威胁分布等因素,提出了利用可视图法避开敌方威胁区的无人机查证航路规划方法,并且能够在目标状态发生变化或者出现威胁等情况下,重新规划查证航路。仿真结果表明,该算法能够生成满足探测要求和战场约束的无人机查证航路,且算法运行时间较短,能够用于动态规划。
Aiming at the requirement of automatic route planning for UAV to use visible light sensor to verify the approach of target in the cooperative detection mission of manned-unmanned aerial vehicle teaming, based on the analysis of influencing factors of visible light sensor imaging, combined with UAV sensor performance, flight performance, communication constraints with UAV, enemy threat distribution and other factors, a route planning method of UAV using visibility graph to avoid enemy threat area is proposed, and the verification route can be re planned in the case of target state change or sudden threat. The simulation results show that the algorithm can generate the UAV verification route that meets the detection requirements and battlefield constraints, and the running time of the algorithm is short, which can be used for dynamic planning.
作者
陈辉
董晶
刘云龙
CHEN Hui;DONG Jing;LIU Yun-long(China Academy of Electronics and Information Technology,Beijing 100041,China;China Software Testing Center,Beijing 100089,China)
出处
《中国电子科学研究院学报》
北大核心
2022年第2期119-123,133,共6页
Journal of China Academy of Electronics and Information Technology
作者简介
陈辉(1985-),高级工程师,主要研究方向为指挥控制、作战筹划;董晶(1984-),高级工程师,主要研究方向为任务规划、仿真建模;刘云龙(1976-),高级工程师,主要研究方向为人工智能系统、信息系统建设和软件质量保障。
