UAV-based Aerial Monitoring: A Performance Evaluation of a Self-Organising Flocking Algorithm

Massimiliano De Benedetti, Fabio D'Urso, F. Messina, G. Pappalardo, C. Santoro
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引用次数: 16

Abstract

This paper describes an algorithm aiming at coordinating of a set of multirotor UAVs to self-organise in order to create a flock performing a monitoring mission. The aim of the flock is to acquire data relevant to a certain area of the terrain and transmit them to a Base Station. Two basic aspects are taken into account: (i) to plan a proper path which minimises mission time, and (ii) to identify possible faults in one or more multirotors, taking care of performing a re-scouting of terrain regions in order to avoid loss of data. The algorithm uses same rules to ensure flocking formation and area coverage. It is validated using a software simulator to measure and report some parameters useful to understand the performances and effectiveness of the approach.
基于无人机的空中监测:一种自组织群集算法的性能评估
本文提出了一种多旋翼无人机自组织协调算法,使多旋翼无人机组成一个群来执行监测任务。蜂群的目的是获取与某一地区地形有关的数据,并将其传输到基站。考虑到两个基本方面:(i)规划一条适当的路径,以尽量减少任务时间;(ii)确定一个或多个多旋翼机可能出现的故障,并注意对地形区域进行重新侦察,以避免数据丢失。该算法使用相同的规则来保证集群的形成和区域覆盖。使用软件模拟器对该方法进行了验证,测量和报告了一些有用的参数,以了解该方法的性能和有效性。
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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