Category Archive:Non classé

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Check out this new video about our fully automated flight and precise landing for drones

A showcase of our end-to-end flight automation including precise landing by combining GPS and Computer.

Automation of landing on a small surface is necessary in many drone-based applications, and it is one of the most challenging parts for achieving a fully automated flight.

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Drones to ride land transport? And interesting idea we elaborate in our new paper that got accepted for publication in IEEE VTC2019-Spring

What if we let drones/UAVs to ride land #transport (buses) to extend their batteries lifetime i.e. their missions coverage in terms of time and space? This is the idea we have elaborated in our article entitled “Exploiting Land Transport to Improve the UAV’s Performances for Longer Mission Coverage in Smart Cities” that has been accepted for publication and presentation at the upcoming 89th edition of the IEEE Vehicular Technology Conference VTC2019-Spring that will be hold on 28 April – 1 May 2019 in Kuala Lumpur, Malaysia. This work is an outcome from our NPRP project DroneITS which is funded by the Qatar National Research Fund (QNRF).

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Flying Road Side Unit (RSU), a solution we have developed using drones (UAV) to quickly deploy an RSU at locations that were not included in the initial deployment plan.

A good RSUs network is important for enabling the V2X technology especially in the early deployment stages. Indeed, before reaching a good penetration of enabled vehicles in the park, there will be a need for deployment of enough RSUs around the city at strategic locations.

 

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Autmated Landing using Computer Vision AI

Below is a short video showing the field test and validation of the computer vision based landing solution that has been developed by the DroneITS team.

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We have been invited by QNRF to attend the QNRF Research Outcomes Seminar (ROS) and present the outcomes of our NPRP DroneITS project and their potential to serve as a base for supporting sport-related applications.

QNRF ROS 2019

 

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A short video of our first use-cases

Please enjoy this short video of the first use-case that has been implemented in DroneITS project and tested in real-field in Qatar:

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Starting the prototyping phase

It is one of the most exciting phases in any R&D project, the start of the development of the prototype that will be used to proof and demonstrate the findings of the project. In DroneITS project, we have planned for this activity to start as soon as possible (just a year after the kickoff of  the project), to make sure we have a reliable and a stable test-bed before the closure of the project, by end of 2019.

Below is a photo of two colleagues (Miss. Nour Alsahan and Mr. Ahmed Abuzrara) working on the development and integration of the first DroneITS’s UAV, and the work is progressing very well. We hope to have a first version of the prototype ready for a demonstration in a month.

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Project’s Outcomes Presented at VTC Spring 2017

Our paper entitled “On the Placement of UAV Docking Stations for Future Intelligent Transportation Systems” has been presented by Dr. Hamid Menouar at the workshop on Positioning Solutions for Cooperative Intelligent Transportation Systems which was hold in conjunction with the IEEE Vehicular Technology Conference (VTC-Spring 2017), Sydney, Australia, June, 2017 (http://www.ieeevtc.org/vtc2017spring/).

The abstract of the presented paper is below:

Unmanned Aerial Vehicles (UAV) have attracted a lot of attention in a variety of fields especially in intelligent transportation systems (ITS). They constitute an innovative mean to support existing technologies to control road traffic and monitor incidents. Due to their energy-limited capacity, UAVs are employed for temporary missions and, during idle periods, they are placed in stations where they can replenish their batteries. In this paper, the problem of UAV docking station placement for ITS is investigated. This constitutes the first step in managing UAV-assisted ITS. The objective is to determine the best locations for a given number of docking stations that the operator aims to install in a large geographical area. Based on average road network statistics, two essential conditions are imposed in making the placement decision: i) the UAV has to reach the incident location in a reasonable time, ii) there is no risk of UAV’s battery failure during the mission. Two algorithms, namely a penalized weighted k-means algorithm and the particle swarm optimization algorithm, are proposed. Results show that both algorithms achieve close coverage efficiency in spite of their different conceptual constructions.

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DroneITS project kickoff

Today October 1st, 2016, DroneITS project has been officially kicked off. We are very excited, we see many interesting research challenges that will be tackled in this amazing project. Please stay in touch to follow our project progress and learn about the many foreseen outcomes.

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Our contribution to appear in IEEE Communication Magazine

We learned today September 23rd, 2016 that our article on “UAV-Enabled Intelligent Transportation Systems for the Smart City: Applications and Challenges” has been accepted for publication in the January 2017 IEEE Communications Magazine special issue “UAV-Enabled Intelligent Transportation Systems for the Smart City: Applications and Challenges January 2017/Enabling Mobile and Wireless Technologies for Smart Cities”