Drones and Smart Cities

Speaker:  Anis Koubaa – Riyadh, Saudi Arabia
Topic(s):  Architecture, Embedded Systems and Electronics, Robotics

Abstract

Unmanned Aerial Vehicles (UAVs) - also known as Drones, are becoming increasingly popular. Although these have been around for already a few years, applications’ developers and researchers are realizing more recently the potential of these flying robots in civil applications such as remote sensing, smart cities, surveillance, disaster management and recovery, patrolling, aerial survey, border security etc. to name a few. Although these low-cost UAVs can be utilized in many beneficial ways, the strictly limited processing capabilities, as well as their low onboard storage, raise several challenges. In fact, low-cost and battery-powered UAVs are unable to cope efficiently with the requirements of computation-demanding applications (e.g., onboard image processing) encompassing real-time data and reliability constraints. Furthermore, with the limitation of the communication range of wireless-based drones, even when using telemetry systems (with range up to 5 Km), it is not possible to manage drones’ mission in large environments such as at the scale of a city, or a country. As part of cloud robotics initiatives, there is an increasing trend of integrating drones to leverage the use of cloud computing and the Internet of Things (IoT). In this presentation, I will provide an overview of the concept and the Internet-of-Drones and its applications in the context of smart cities. I will present, Dronemap Planner, which is a cloud-based management system that allows the control and monitoring of drones through the Internet. I will also present the different applications developed based on this system and discuss their performance issues. In addition, we will focus on how the Internet-of-Drones along with Artificial Intelligence can promote a new bunch of applications for smart cities, including surveillance, traffic monitoring, multi-drone collaboration, law enforcement, etc.


About this Lecture

Number of Slides:  45
Duration:  40 minutes
Languages Available:  Arabic, English
Last Updated: 

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