利用低功耗广域网维护无人机稳定性

Akshay Gadre, Revathy Narayanan, Swarun Kumar
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引用次数: 5

摘要

未来的城市空间有望看到无人驾驶飞行器(uav)部署在广泛的应用中,包括产品交付、成像和搜索和救援。然而,今天的无人机主要依赖惯性传感器和GPS来保持飞行中的稳定,这意味着它们很难穿透无法使用GPS的城市峡谷。这张海报展示了LoRaTilt,一个使用低功率广域网(LP-WAN)发射机保持无人机稳定性的系统。我们在无人机上安装了一个重量轻、十年电池供电的LP-WAN发射机,并处理来自数百米外基站的信号。我们演示了我们的系统如何在对无人机的成本和飞行寿命影响最小的情况下估计和纠正gps拒绝设置中的无人机漂移。我们的概念验证实验表明,在使用LoRa LP-WAN无线电估计无人机的位移和方向时,有希望的中位数精度为1.2326 mm和0.0164弧度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Maintaining UAV Stability using Low-Power WANs
Future urban spaces are expected to see Unmanned Aerial Vehicles (UAVs) deployed for wide-ranging applications including product delivery, imaging and search-and-rescue. Yet today's UAVs rely critically on inertial sensors and GPS to remain stable in-flight, meaning they struggle to penetrate urban canyons where GPS is unavailable. This poster presents LoRaTilt, a system that maintains stability of a UAV using a Low-Power Wide-Area Network (LP-WAN) transmitter. We mount a light-weight and ten-year battery-powered LP-WAN transmitter on a UAV and process its signals from base stations up to hundreds of meter away. We demonstrate how our system estimates and corrects for UAV drift in GPS-denied settings with minimal impact on the cost and flight life of a UAV. Our proof-of-concept experiments show a promising median accuracy of 1.2326 mm and 0.0164 radians in estimating the displacement and orientation of a drone with a LoRa LP-WAN radio.
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