Cargando…

Development of Cloud-Based UAV Monitoring and Management System

Unmanned aerial vehicles (UAVs) are an emerging technology with the potential to revolutionize commercial industries and the public domain outside of the military. UAVs would be able to speed up rescue and recovery operations from natural disasters and can be used for autonomous delivery systems (e....

Descripción completa

Detalles Bibliográficos
Autores principales: Itkin, Mason, Kim, Mihui, Park, Younghee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134572/
https://www.ncbi.nlm.nih.gov/pubmed/27854267
http://dx.doi.org/10.3390/s16111913
_version_ 1782471483649425408
author Itkin, Mason
Kim, Mihui
Park, Younghee
author_facet Itkin, Mason
Kim, Mihui
Park, Younghee
author_sort Itkin, Mason
collection PubMed
description Unmanned aerial vehicles (UAVs) are an emerging technology with the potential to revolutionize commercial industries and the public domain outside of the military. UAVs would be able to speed up rescue and recovery operations from natural disasters and can be used for autonomous delivery systems (e.g., Amazon Prime Air). An increase in the number of active UAV systems in dense urban areas is attributed to an influx of UAV hobbyists and commercial multi-UAV systems. As airspace for UAV flight becomes more limited, it is important to monitor and manage many UAV systems using modern collision avoidance techniques. In this paper, we propose a cloud-based web application that provides real-time flight monitoring and management for UAVs. For each connected UAV, detailed UAV sensor readings from the accelerometer, GPS sensor, ultrasonic sensor and visual position cameras are provided along with status reports from the smaller internal components of UAVs (i.e., motor and battery). The dynamic map overlay visualizes active flight paths and current UAV locations, allowing the user to monitor all aircrafts easily. Our system detects and prevents potential collisions by automatically adjusting UAV flight paths and then alerting users to the change. We develop our proposed system and demonstrate its feasibility and performances through simulation.
format Online
Article
Text
id pubmed-5134572
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-51345722017-01-03 Development of Cloud-Based UAV Monitoring and Management System Itkin, Mason Kim, Mihui Park, Younghee Sensors (Basel) Article Unmanned aerial vehicles (UAVs) are an emerging technology with the potential to revolutionize commercial industries and the public domain outside of the military. UAVs would be able to speed up rescue and recovery operations from natural disasters and can be used for autonomous delivery systems (e.g., Amazon Prime Air). An increase in the number of active UAV systems in dense urban areas is attributed to an influx of UAV hobbyists and commercial multi-UAV systems. As airspace for UAV flight becomes more limited, it is important to monitor and manage many UAV systems using modern collision avoidance techniques. In this paper, we propose a cloud-based web application that provides real-time flight monitoring and management for UAVs. For each connected UAV, detailed UAV sensor readings from the accelerometer, GPS sensor, ultrasonic sensor and visual position cameras are provided along with status reports from the smaller internal components of UAVs (i.e., motor and battery). The dynamic map overlay visualizes active flight paths and current UAV locations, allowing the user to monitor all aircrafts easily. Our system detects and prevents potential collisions by automatically adjusting UAV flight paths and then alerting users to the change. We develop our proposed system and demonstrate its feasibility and performances through simulation. MDPI 2016-11-15 /pmc/articles/PMC5134572/ /pubmed/27854267 http://dx.doi.org/10.3390/s16111913 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Itkin, Mason
Kim, Mihui
Park, Younghee
Development of Cloud-Based UAV Monitoring and Management System
title Development of Cloud-Based UAV Monitoring and Management System
title_full Development of Cloud-Based UAV Monitoring and Management System
title_fullStr Development of Cloud-Based UAV Monitoring and Management System
title_full_unstemmed Development of Cloud-Based UAV Monitoring and Management System
title_short Development of Cloud-Based UAV Monitoring and Management System
title_sort development of cloud-based uav monitoring and management system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134572/
https://www.ncbi.nlm.nih.gov/pubmed/27854267
http://dx.doi.org/10.3390/s16111913
work_keys_str_mv AT itkinmason developmentofcloudbaseduavmonitoringandmanagementsystem
AT kimmihui developmentofcloudbaseduavmonitoringandmanagementsystem
AT parkyounghee developmentofcloudbaseduavmonitoringandmanagementsystem