Searched for: subject%3A%22Drones%22
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Dukalski, R.R. (author)
Unmanned Aerial Vehicles are an up-and-coming cost-effective solution in aerial monitoring, analysis and documentation. To this end, multi-rotor UAVs, such as the Aerialtronics Altura V2, offer accurate, automated, suspended flight, with minimal user engagement. The project investigated into whether such devices can be used effectively for...
master thesis 2013
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Klavdianos, D. (author)
Birds pose a serious threat to aviation industry due to the fact that birds and aircraft share the same aerospace and inevitably collisions between them cannot be avoided. These collisions can cause from minor dents to the aircraft's fuselage to catastrophic damages to the engines which can lead to multiple human loses. In order to prevent bird...
master thesis 2014
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Momont, A. (author)
Each year nearly a million people in Europe suffer from a cardiac arrest. A mere 8% survives due to slow response times of emergency services. Our vision is to improve existing emergency infrastructure with a network of drones capable of saving lives. At over 100km/h it can be on your location within 1 minute, which increases your chance of...
master thesis 2014
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De Greef, T.E. (author), Leveringhaus, A. (author)
Advanced warfare technologies (AWT) create unprecedented capabilities to control the delivery of military force up to the point, some argue, that we are loosing humanity. But dependence on them generates difficult moral challenges impacting the decision-making process, which are only beginning to be addressed. In order to arrive at an informed...
journal article 2015
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Smeur, E.J.J. (author), de Croon, G.C.H.E. (author), Chu, Q. P. (author)
Micro Aerial Vehicles (MAVs) are limited in their operation outdoors near obstacles by their ability to withstand wind gusts. Currently widespread position control methods such as Proportional Integral Derivative control do not perform well under the influence of gusts. Incremental Nonlinear Dynamic Inversion (INDI) is a sensor-based control...
conference paper 2016
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Coppola, M. (author)
A current limitation of using Micro Air Vehicles in teams is the high risk of collisions between members. Knowledge of relative location is needed in order to perform evasive maneuvers from such collisions. We propose an on-board Bluetooth-based relative localization scheme. Bluetooth is a light-weight and energy efficient communication...
master thesis 2016
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Aarnink, Janbert (author)
As extensive efforts from consumer drone manufacturers resulted in inexpensive aircrafts that can capture high quality video imagery, drones are increasingly considered to be beneficial for scientific purposes. In the recent past, video imagery has been used to analyze waves in terms of several hydrodynamic parameters and to indicate matching...
master thesis 2017
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Bhowal, Abhranil (author)
A Reinforcement Learning (RL) agent learns about its environment through exploration. For most physical applications such as search and rescue UAVs, this exploration must take place with safety in mind. Unregulated exploration, especially at the beginning of a run, will lead to fatal situations such as crashes. One approach to mitigating these...
master thesis 2017
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Blokland, Auke (author)
From this study can be concluded that using drones equipped with cameras a 3D model van be created of an incident on the rail. From the recordings, a 3D model van be made using photogrammetry. In this model it is possible to measure post distances with an estimated error of less than 1 centimeter. The distances between the laser scanner point...
student report 2017
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Borsje, Ruben (author)
The Demak coastal area faces severe erosion problems. The main cause of the erosion of the coastline, which is at some places as high as 1.5 km of land, is the deforestation of the green belt of mangroves for the purpose of building fishponds. This has disturbed the delicate sediment balance in the area drastically. The BioManCO project aims to...
student report 2017
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Byatarayanapura Nagendra, Vishnu (author)
master thesis 2017
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Doole, M.M. (author), Ellerbroek, Joost (author), Hoekstra, J.M. (author)
The concept of autonomous drone delivery in urban areas has gained a favorable amount of media attention over the past few years. Companies such as Amazon, Uber and Matternet are investigating the use of drones to transport parcels in order to solve the disaggregate delivery (last-mile) problem. This solution could potentially reduce vehicular...
conference paper 2018
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Hoekstra, J.M. (author), Ellerbroek, Joost (author), Sunil, E. (author), Maas, J.B. (author)
Both U-space in Europe, as well as UTM in the USA, develop concepts and tools for UAV airspace. Enabling highdensity operations is one of the goals of these studies. Past and recent studies have analysed which factors affect the capacity of a UAV airspace. An improved understanding of this can lead to control methods for capacity management. Two...
conference paper 2018
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Doole, M.M. (author), Ellerbroek, Joost (author), Hoekstra, J.M. (author), Mennella, Alberto (author), Onate, Manuel (author)
The work presented in this paper is part of the SESAR Horizon 2020 exploratory research project DREAMS, which analyses operational and technical aspects of drone Aeronautical Information Management (AIM) for Europe’s Unmanned Traffic Management system, U-Space. The main objective of DREAMS is to analyse the present and future needs of...
conference paper 2018
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Alonso-Mora, J. (author), Montijano, Eduardo (author), Nägeli, Tobias (author), Hilliges, Otmar (author), Schwager, Mac (author), Rus, Daniela (author)
This paper presents a distributed method for formation control of a homogeneous team of aerial or ground mobile robots navigating in environments with static and dynamic obstacles. Each robot in the team has a finite communication and visibility radius and shares information with its neighbors to coordinate. Our approach leverages both...
journal article 2018
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Kisantal, Máté (author)
Safe navigation in a cluttered environment is a key capability for the autonomous operation of Micro Aerial Vehicles (MAVs). This work explores a (deep) Reinforcement Learning (RL) based approach for monocular vision based obstacle avoidance and goal directed navigation for MAVs in cluttered environments. We investigated this problem in the...
master thesis 2018
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Ozo, Michaël (author)
High-speed autonomous flight of Micro Air Vehicles has gained much attention in recent years. However, flight in complex GPS-denied environments still poses a serious challenge. One scenario which contains these elements is drone racing, where pilots have to fly complex tracks at high speed, often in an indoor environment. In this work we...
master thesis 2018
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Frielingsdorf, Jan (author)
What if drones could be a tool for enhancing or enabling (new) sports and how could Sony play a role? <br/>As odd as this question might sound at first, future technological advancement will likely make it possible. Drones are fast, agile flying robots, that are increasingly learning to understand their environment and interact autonomously with...
master thesis 2018
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Siddiquee, Manan (author)
Reinforcement Learning (RL) has been applied to teach quadcopters guidance tasks. Most applications rely on position information from an absolute reference<br/>system such as Global Positioning System (GPS). The dependence on "absolute<br/>position" information is a general limitation in the autonomous flight of Unmanned Aerial Vehicles (UAVs)....
master thesis 2018
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de Alvear Cardenas, J.I. (author), Eggers, Y. (author), van Hoorn, P.E.J. (author), Jou Ferrer, L. (author), Oosterhof, E. (author), Stikker, R.U.J. (author), Terenzi, L. (author), Veder, R.R. (author), Velthausz, L.A.H. (author), van der Waals, H.M. (author)
Major delivery companies such as DHL, UPS or Amazon have been developing small drones to deliver packages. This alternative to truck delivery is expected to start operating in the near future. The advantages of it are its speed, price, safety and sustainability: parcels would not be subjected to traffic and they would be delivered within an hour...
bachelor thesis 2018
Searched for: subject%3A%22Drones%22
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