@inproceedings{f5a0ed3fd36147729eb8b6fd2637f950,
title = "Drone Positioning System Based on Sound Signals Detection for Tracking and Photography",
abstract = "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.",
keywords = "Drone, Photography, Positioning, Sound Signal, Tracking",
author = "Hilal, \{Ala'Abu A.\} and Thabet Mismar",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 11th Annual IEEE Information Technology, Electronics and Mobile Communication Conference, IEMCON 2020 ; Conference date: 04-11-2020 Through 07-11-2020",
year = "2020",
month = nov,
day = "4",
doi = "10.1109/IEMCON51383.2020.9284851",
language = "English",
series = "11th Annual IEEE Information Technology, Electronics and Mobile Communication Conference, IEMCON 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "108--115",
editor = "Rajashree Paul",
booktitle = "11th Annual IEEE Information Technology, Electronics and Mobile Communication Conference, IEMCON 2020",
address = "United States",
}