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基于动态规划的无人机群航线自适应融合 被引量:1

Route Adaptive Fusion for UAVs Based on Dynamic Programming
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摘要 针对无人机航线规划系统中二三维态势图形普遍存在冗余绘制、中央处理器/内存性能瓶颈等技术缺陷,基于动态规划方法分别对航线中重合直线段与转弯弧图元融合绘制,解决了大批量航线同时绘制时人机交互操作航线卡顿、内存消耗多的问题。首先,建立航线直线段与转弯弧的重合判定阈值参数模型;然后,根据各航线图形的线型、线宽以及绘制顺序,采用动态规划思想判断重合图元中的可见部分,并对其进行融合;最后,提出了自适应阈值计算方法,比较分析默认阈值与自适应阈值航线融合效果。试验结果表明自适应融合后航线绘制性能明显提升。 Aimed at the common technical defects about redundant drawing and CPU/memory bottlenecks in the situation of 2D/3D graphics in the unmanned aerial vehicles(UAVs) route planning system, the coincident lines and coincident arcs in the routes are respectively drawn with fusion based on dynamic programming method. Thus, the problems about inefficiency man-machine interaction with routes and high memory cost while simultaneously drawing mass of routes. Firstly, a threshold parametric decision model for coincidence lines and coincidence arcs in the routes is constructed. Then, according to the line styles, line width and drawing sequence of the route graphics, the visible route parts in the coincident drawing elements are judged with dynamic programming idea, and they are also fused. Finally, adaptive thresholds calculating method is proposed, and the route fusion effects are compared between default thresholds and adaptive thresholds. Experimental result shows that the route drawing performance is prominently enhanced after adaptive fusion.
作者 陈超 何小东 姜梦蝶 CHEN Chao;HE Xiaodong;JIANG Mengdie(The 28th Research Institute of China Electronics Technology Group Corporation,Nanjing 210023,China)
出处 《指挥信息系统与技术》 2022年第6期35-41,49,共8页 Command Information System and Technology
基金 装备发展部“十四五”预研课题资助项目。
关键词 动态规划 无人机 航线融合 航线绘制 dynamic programming unmanned aerial vehicle(UAV) route fusion route drawing
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