Contour Based Path Planning for Unmanned Aerial Vehicles (UAVs) over Hostile Terrain

K. May, D. V. Khanh, Tan Chiew Seng, Y. S. Ping, H. Sien
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引用次数: 2

Abstract

In this paper, we present a contour based path planner for Unmanned Aerial Vehicles (UAVs).We make use of efficient algorithm to compute a stealthy path line with desired attributes in radar prone environments. The algorithm is employed to estimate the risk cost of the navigational space and generate an optimized path based on the user-specified threshold altitude value. Thus the generated path is represented with a set of low-radar risk waypoints being the coordinates of its control points. The offline path planner is then approximated using cubic B-splines by considering the least radar risk to the destination. Simulated results are presented, illustrating the potential benefits of such algorithms.
基于等高线的恶劣地形上无人机路径规划
本文提出了一种基于轮廓线的无人机路径规划方法。我们利用高效的算法,在雷达易发环境中计算出具有期望属性的隐身路径线。该算法用于估计导航空间的风险成本,并根据用户指定的阈值高度生成优化路径。因此,生成的路径用一组低雷达风险航路点表示为其控制点的坐标。然后利用三次b样条逼近离线路径规划器,考虑目标雷达风险最小。给出了仿真结果,说明了这种算法的潜在优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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