无人机作为传感器平台

P. Sniatala, Sitharama S. Iyengar, Piotr Kontowicz
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引用次数: 0

摘要

无人机作为遥感平台的快速发展和增长推动了仪器和数据系统的小型化,推动了无人机在从精准农业到生态学、大气研究和灾害响应等各个领域和学科的新应用。没有传感器的无人机将是无用的设备。传感器是无人机正常运行所必需的。除了作为无人机的“眼睛”之外,还可以在无人机平台上安装额外的传感器来收集额外的信息。无人机可用于将传感器运送到可创建自组织无线传感器网络(WSN)的区域。WSN通常采用自组织模式,将小型设备分组成网络节点,密集地分布在一个重要的区域。本文对无人机作为传感器平台进行了简要概述。针对无人机与无线传感器网络的混合组网,提出了一种Brooks-Iyengar传感器融合算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Drone as a Sensors’ Platform
The rapid development and growth of UAVs as a remote sensing platforms advances in the miniaturization of instrumentation and data systems that drives new application of drones in a variety of fields and disciplines from precision agriculture to ecology, atmospheric research, and disaster response. Drones without sensors would be useless devices. Sensors are required for a proper operation of UAVs. Apart from being “eyes” of drones additional sensors can be installed on UAV platforms to gather extra information. Drone can be used to deliver sensors to area where ad-hoc Wireless Sensor Network (WSN) can be created. WSN is most often set up in ad-hoc mode by means of small-size devices grouped into network nodes distributed densely over a significant area. The paper makes a concise overview of UAVs as a sensors’ platform. In the context of a hybrid UAV-WSN network a Brooks-Iyengar sensor fusion algorithm is presented.
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