基于声信号检测的无人机定位系统跟踪与摄影

Ala Abu Hilal, Thabet M. Mismar
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引用次数: 2

摘要

本文旨在建立一个定位系统,使无人机能够有效地定位声源。该系统由一个应用程序组成,该应用程序与三个传感器进行远程通信,以计算物体的位置。从传感器收集的数据将用于寻找声音起源的交点。所有系统组件都是无线工作的,通过填充来自传感器的数据来避免任何布线问题,然后指示无人机移动并捕获图像。这项工作在很多地方都很方便,比如跟踪一个物体的运动来完成一些任务,或者通过检测声音来跟踪它的操作员。实验结果表明,当传感器识别声音信号时,计算、传输和无人机移动的过程非常成功。在所有的试验中,无人机都探测到了声音,并直接向声源移动。然后,在距离目标物体约1米的地方拍摄图像,这是一个合适的距离。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Drone Positioning System Based on Sound Signals Detection for Tracking and Photography
This paper aims to build a positioning system that allows a Drone to locate a sound source effectively. The system consists of an application that communicates remotely with three sensors to compute the location of an object. The collected data from the sensors will be used to find the intersection point where the sound originates. All system components are built to work wirelessly to avoid any wiring problems by populating the data from the sensors, then instructing the Drone to move and capture a picture. This work is convenient in many sites, like tracking an object motion to do some tasks or following its operator by detecting the voice. The experiments showed consistent actions, when the sensors identify the sound signal, the process of computing, transmitting, and Drone moving was very successful. In all trials, the Drone detected the sound and was moving toward the source directly. Then, a picture was captured approximately one meter away far from the object, which is an appropriate distance.
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