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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....
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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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 |
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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 |