Searched for: subject%3A%22drones%22
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van Hal, Xander (author)
This report discusses urban air quality measurements carried out in a park in Aigaleo (Athens), located adjacent to a busy road. The measurements were taken using the Sniffer4D Mini 2 sensor box with a drone to investigate how Urban Air Mobility can aid in measuring urban air quality. CO, NO<sub>2</sub>, O<sub>3</sub>, SO2, PM<sub>2.5</sub> and...
master thesis 2024
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van Gorp, Vincent (author)
Urban Air Mobility (UAM) has seen remarkable growth over the past decade, especially considering the delivery of goods. Notably, the delivery of medical supplies via Unmanned Aerial Vehicles (UAVs) has emerged as a promising application, which is driven by its societal benefits and has been demonstrated successfully in rural environments....
master thesis 2024
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Chung, Chris (author)
Loss-of-Control (LoC) is the primary cause of drone crashes, necessitating efficient onboard prevention systems that are effective in terms of sensor requirements, computing power, and memory. This study introduces a data-driven approach for detecting LoC in quadrotors, using Critical Slowing Down (CSD) theory as an Early Warning Signal (EWS) of...
master thesis 2024
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Raftopoulou, M. (author)
Following the trend of previous years, the number of devices, and hence the traffic in cellular networks is increasing. Moreover, new applications with stringent requirements are envisioned. Examples of such applications include collaborative learning and coverage extension with drones. To accommodate the traffic with its respective Quality of...
doctoral thesis 2024
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Zwanenburg, Andreas (author)
These days, people see more and more applications for drones, including monitoring rainforests to protect plant and animal species. However, drones face challenges when navigating through the dense and cluttered vegetation of the forest. These environments necessitate advanced autonomous detection and navigation to make the drone traverse...
master thesis 2024
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Zheng, L. (author), Hamaza, S. (author)
Drones have been increasingly used in various domains, including ecological monitoring in forests. However, the endurance and noise of drones have limited their deployment to short flight missions above canopies. To address these limitations, we introduce ALBERO: a framework comprising a mechanical solution and an optimal planner to realise...
journal article 2024
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Pijnappel, T. R. (author), van den Berg, J. L. (author), Borst, S. C. (author), Litjens, R. (author)
—Wireless communication networks provide a critical infrastructure, particularly in emergency situations due to disruptive events such as natural disasters or terrorist attacks. However, in these kinds of scenarios part of the network may no longer be operational and a traffic hotspot may emerge, which may result in coverage and/or capacity...
journal article 2024
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Ahmad, Bashar I. (author), Rogers, Colin (author), Harman, Stephen (author), Dale, Holly (author), Jahangir, Mohammed (author), Antoniou, Michael (author), Baker, Chris (author), Newman, Mike (author), Fioranelli, F. (author)
Automatic target classification or recognition is a critical capability in noncooperative surveillance with radar in several defence and civilian applications. It is a well-established research field and numerous techniques exist for recognizing targets, including miniature unmanned air systems or drones (i.e., small, mini, micro, and nano...
journal article 2024
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Sharma, Suryansh (author), Verhoeff, Mike (author), Joosen, Floor (author), Venkatesha Prasad, Ranga Rao (author), Hamaza, S. (author)
The increasing popularity of helium-assisted blimps for extended monitoring or data collection applications is hindered by a critical limitation &amp;#x2013; single-point failure when the balloon malfunctions or bursts. To address this, we introduce &lt;bold&gt;Janus&lt;/bold&gt;, a hybrid blimp-drone platform equipped with integrated balloon...
journal article 2024
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Magri, Federico (author)
In this study, we present a first step towards a cutting-edge software framework that will enable autonomous racing capabilities for nano drones. Through the integration of neural networks tailored for real-time operation on resource-constrained devices. A lightweight Convolutional Neural Network, with the Gatenet architecture, is adjusted for...
master thesis 2023
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Paredes-Vallés, Federico (author)
In the ever-evolving landscape of robotics, the quest for advanced synthetic machines that seamlessly integrate with human lives and society becomes increasingly paramount. At the heart of this pursuit lies the intrinsic need for these machines to perceive, understand, and navigate their surroundings autonomously. Among the senses, vision...
doctoral thesis 2023
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de Vries, Rinto (author)
Recent literature in real-time trajectory planning has proposed using Control Barrier Functions (CBFs) as collision constraints in Model Predictive Control (MPC) for efficient guidance, a concept referred to as MPC-CBF. This concept has been explored for both first and second-order CBFs. However, these approaches relied on an analytical...
master thesis 2023
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Bogaerts, Charlie (author)
This study aims to quantify the aerodynamic behaviour of fixed pitch rotors with a diameter of 12.7 cm in axial descent, and its contribution to the attitude oscillations found for quadcopters under similar flight conditions. Wind tunnel tests are performed with an isolated rotor, as well as a complete quadcopter mounted inside a gimbal that...
master thesis 2023
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Lut, Jasper-Jan (author)
Drones that perform complex autonomous movements require a perfect estimate of their current position. However, internal measurement unit (IMU) errors introduce drift in this estimate, leading to significant discrepancies between the predicted and actual location. Various solutions have been proposed to calibrate the IMU, including methods...
master thesis 2023
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Bergmans, Ryan (author), de Gooijer, Mischa (author), Huigen, Julia (author), de Jong, Rosa (author), Meij, Jonas (author), Ottens, Jelmer (author), van der Paardt, Timo (author), Saanen, Liam (author), Schelling, Alexandra (author), Süülker, Egemen (author)
bachelor thesis 2023
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Bojtár, Veronika (author)
Simulation environments are useful for a wide range of applications and their functionalities continue to improve every year. The aim of this thesis project was to create a simulation environment with high levels of realism and assess its capabilities through the use case of generating distributed drone traffic rules.<br/><br/>This thesis...
master thesis 2023
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Brummelhuis, Martijn (author)
Aerial physical interaction opens the door for many operations at height to be automatised using aerial robots. This research presents a novel manipulator design mounted on a traditional quadrotor, which utilises both mechanical and software compliance to perform physical interaction on vertical walls and overhanging surfaces, such as those...
master thesis 2023
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Rol, Remy (author)
master thesis 2023
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Mink, Raoul (author)
Decentralised drone swarms need real time collision avoidance, thus requiring efficient, real time relative localisation. This paper explores different data inputs for vision based relative localisation. It introduces a novel dataset generated in <i>Blender</i>, providing ground truth optic flow and depth. Comparisons to <i>MPI Sintel</i>, an...
master thesis 2023
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Meester, Ruben (author)
We present a computationally cheap 3D bug algorithm for drones, using stereo vision. Obstacle avoidance is important, but difficult for robots with limited resources, such as drones. Stereo vision requires less weight and power than active distance measurement sensors, but typically has a limited Field of View (FoV). In addition, the stereo...
master thesis 2023
Searched for: subject%3A%22drones%22
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