自主无人驾驶飞机的飞行规划,使用改进的最短路径算法与有限的时间框架

Marks Sondors, Ilmārs Apeināns, Sergejs Kodors
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引用次数: 0

摘要

本工作的目的是开发一种在有限时间框架下寻找无人机飞行规划最短路径的算法。作者利用局部搜索最短路径算法寻找最有效的算法,并对其进行进一步修改,使其适用于无人机的飞行计算。该算法被修改为使用点之间的距离作为时间单位,根据无人机的最大飞行时间来限制飞行路径长度。通过这项工作,我们创建了一种算法,在接收到一组点后,找到点之间的最短距离,但当它达到飞行持续时间的极限时,它会返回无人机站充电,充电完成后恢复飞行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AUTONOMOUS UNMANNED DRONES FLIGHT PLANNING, USING A MODIFIED SHORTEST PATH ALGORITHM WITH A LIMITED TIME FRAME
The aim of this work is to develop an algorithm to find the shortest path for drone flight planning with a limited time frame. Author used the local search shortest path algorithm to find the most efficient algorithm to use for further modification to apply to a drones flight calculation. The algorithm was modified to use the distance between points as a unit of time to limit the flight path length depending on the drone's maximum flight time. As a result of the work, an algorithm was created which, upon receiving an array of points, finds the shortest distance between the points, but when it reaches the limit of the flight duration, it returns to the drone station to charge, and resumes flight once it’s done charging.
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