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Sensors 2016, 16(11), 1913;

Development of Cloud-Based UAV Monitoring and Management System

Computer Engineering Department, San Jose State University, One Washington Square, San Jose, CA 95192, USA
Department of Computer Science & Engineering, Computer System Institute, Hankyong National University, 327 Jungang-ro, Anseong-si, Gyeonggi-do 456-749, Korea
Author to whom correspondence should be addressed.
Academic Editors: Felipe Gonzalez Toro and Antonios Tsourdos
Received: 4 September 2016 / Revised: 27 October 2016 / Accepted: 8 November 2016 / Published: 15 November 2016
(This article belongs to the Special Issue UAV-Based Remote Sensing)
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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. View Full-Text
Keywords: unmanned aerial vehicles (UAVs); monitoring and management; collision avoidance; cloud-based application unmanned aerial vehicles (UAVs); monitoring and management; collision avoidance; cloud-based application

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Itkin, M.; Kim, M.; Park, Y. Development of Cloud-Based UAV Monitoring and Management System. Sensors 2016, 16, 1913.

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