用于南非农村安全系统的自主多旋翼无人机

Jacques C. Welgemoed, R. Phillips, T. V. Niekerk
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摘要

由于崎岖的地形和需要保护的大片地区,南非农村的有效安全系统特别具有挑战性。这些地区的安全至关重要,因为它们对国家的粮食安全和旅游业做出了巨大贡献。在审查有关牲畜盗窃和偷猎的犯罪统计数据时,这些地区显然需要一个有效的安全系统。本文提出使用无人机(uav)、机器人操作系统(ROS)和PX4飞行堆栈进行自动报警响应、任务执行和精确着陆。我们通过模拟警报场景并演示自动化在随后的着陆测试中的使用来证明自动化是有效的。着陆精度通过从着陆目标中心测量的平均位置误差来量化,得到0.193m,标准差为0.064m。标准偏差小,表明着陆精度重复性高。这比基于gps的着陆有了很大的改进,gps的平均偏差为0.910m,标准偏差为0.424m。这里的标准偏差清楚地表明,传统的基于gps的着陆不适合这种应用。使用模拟视频传输和遥测无线电使提议的解决方案能够在没有任何现有网络基础设施的地区发挥作用。我们的研究结果表明,可以创建一种低成本的无人机系统来解决与南非农村警报响应时间相关的问题。
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An Autonomous Multirotor UAV for Security Systems in Rural South Africa
Effective security systems in rural South Africa are particularly challenging due to the rugged terrain and large areas in need of securing. The security of these areas is vital as they contribute greatly to the nation’s food security and tourism industry. The need for an effective security system in these areas is evident when examining the crime statistics regarding livestock theft and poaching. This paper proposes the use of Unmanned Aerial Vehicles (UAVs), Robot Operating System (ROS), and the PX4 flight stack for automated alarm response, mission execution, and precise landings. We show that the automation is effective by simulating an alarm scenario and demonstrating the automation’s use in subsequent landing tests. The landing precision was quantified by the mean position error measured from the centre of a landing target and was found as 0.193m with a standard deviation of 0.064m. The small standard deviation indicates that the landing precision was highly repeatable. This showed a considerable improvement over GPS-based landings, which yielded an average deviation of 0.910m with a standard deviation of 0.424m. The standard deviation here clearly indicated that traditional GPS-based landings were unsuitable for this application. The use of analogue video transmission and telemetry radios allowed the proposed solution to function in areas without any existing network infrastructure. Our results show that a low-cost UAV system can be created to address the concerns related to alarm response times in rural South Africa.
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