Searched for: contributor:"van Genderen, Arjan (graduation committee)"
(1 - 20 of 20)
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Jauhri, Snehal (author)
Imitation Learning is a technique that enables programming the behavior of agents through demonstration, as opposed to manually engineering behavior. However, Imitation Learning methods require demonstration data (in the form of state-action labels) and in many scenarios, the demonstrations can be expensive to obtain or too complex for a...
master thesis 2020
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James, Javier (author)
The company Kien 1 is developing Bluetooth Low Energy (BLE) speakers, consisting of a subwoofer and several satellite speakers. These subwoofer and satellite speakers will have a feature named Follow Me, which when enabled from a smartphone application, will play music only in the room where the user currently is. The BLE’s signals will...
master thesis 2020
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Singh, Satish (author)
Formation flying is a phenomenon observed very often in the natural world, e.g. birds flying in a flock. The past decade has given a lot of emphasis on the research for the control of autonomous Unmanned Aerial Vehicles (UAVs) of the fixed-wing kind, in an effort to emulate the behavior of natural flocks. Emulating this behavior requires the...
master thesis 2019
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Lyrakis, Alexios (author)
The last years there is a wide interest in UAVs which can be attributed to their low cost and wide range of use in recreational, commercial and scientific applications. Despite the large increase in drones, UAV flights are permitted only in secluded areas. In order to be granted access to public areas, it must prove its capacity to sense and...
master thesis 2019
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Zhang, Yu (author)
This project aims to improve the accuracy of the eye tracking system, which consists of two cameras and two infrared LED light sources. This highly non-invasive technology, which is the feature-based video-oculographic eye tracking system, determines the position of the eye by monitoring the eye features such as the pupil center and glints. The...
master thesis 2019
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Pathak, Chinmay (author)
Anomaly detection is a task of interest in many domains. Typical way of tackling this problem is using an unsupervised way. Recently, deep neural network based density estimators such as Normalizing flows have seen a huge interest. The ability of these models to do the exact latent-variable inference and exact log-likelihood calculation with...
master thesis 2019
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Wang, Yizhou (author)
In the past few years, convolutional neural networks (CNNs) have been widely utilized and shown state-of-the-art performances on computer vision tasks. However, CNN based approaches usually require a large amount of storage, run-time memory, as well as computation power in both training and inference time, which are usually used on GPU based...
master thesis 2019
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Thomas, Arun (author)
UnmannedAerial Vehicles(UAVs) have multi-domain applications and fixed-wing UAVs are a widely used class. There is ongoing research on topics in view to optimize the control and guidance of UAVs. This work explores the design, implementation and Software-in-the-Loop validation of an autopilot using adaptive guidance laws with emphasis on...
master thesis 2019
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Misdorp, Alexander (author)
Visual perception is a pillar of human life. Visual impairment, therefore, has a severe impact on the quality of life. The Bioelectronic Interface to Sensory Cortex (BISC) project is aimed at building a system capable of both recording and stimulating neurons in order to remedy visual impairment. The proposed BISC system consists of three...
master thesis 2019
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Ntasios, Angelos (author)
The last years, there has been a increasing trend in embedded system and FPGA im-plementations for greater flexibility and also, a rising adaptation of heterogeneous plat-forms. These platforms often include FPGAs and embedded cores side by side.ρ-VEXcore, developed and maintained by the Computer Engineering group of TU Delft, is aVLIW processor...
master thesis 2019
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van der Vlag, Michiel (author)
Current brain simulators do no scale linearly to realistic problem sizes (e.g. >100,000 neurons), which makes them impractical for researchers. The goal of the thesis is to explore the use of true multi-GPU acceleration on computationally challenging brain models and to assess the scalability of such models given sufficient access to multi...
master thesis 2019
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Rahaman Khan, Tasneem (author)
The automotive radars are significantly drifting towards the 77GHz electromagnetic spectrum band, and by 2020, they will no longer operate in the 24GHz band as per the regulations given by the European Telecommunications Standards Institute (ETSI) and Federal Communications Commission (FCC) in Europe and the U.S. With the communication systems...
master thesis 2018
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in 't Hout, Maarten (author)
Providing more confidentiality by extending a capability-based OS trough a hardware enforced isolation between the memory of the kernel and other memory. By employing memory tagging and hardware based Inter Process Communication (IPC) this defense gives an overhead of 26 percent.
master thesis 2018
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Saleem, Muhammad Usman (author)
Over the past many years, technology scaling has resulted in a continuous reduction of lateral and vertical dimensions of transistors. The technology scaling, on the one hand, has led to a commensurate performance gain for very-large-scale integration (VLSI) circuits, but on the other hand, has also made such circuits more vulnerable to ionizing...
master thesis 2018
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Rouwen, Floris (author)
The TU Delft ZEs-Benige RObot (Zebro) project is presented with the opportunity to bring the Zebro concept to the surface of our moon. To maximise the probability of success, the Locomotion Sub-System (LSS) software of Lunar Zebro is developed using a novel model-driven design tool called Dezyne. Dezyne uses a proprietary language to describe...
master thesis 2018
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Betting, Jan-Harm (author)
The movement of whiskers in head-fixed mice is of high interest for neurological research, as it allows scientists to learn more about learning processes during active touch. However, manual tracking of whiskers in thousands of frames is not feasible, and reliable tracking of individual whiskers is not possible with the best current software...
master thesis 2018
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Tetteroo, Jonathan (author)
As machine learning algorithms play an ever increasing role in today's technology, more demands are placed on computational hardware to run these algorithms efficiently. In recent years, Convolutional Neural Networks (CNNs) have become an important part of machine learning applications in areas such as object recognition and detection. In this...
master thesis 2018
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Pallini, Andrea (author)
master thesis 2018
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van Nieuwpoort, Ruben (author)
The finite element method (FEM) is an ubiquitous method for the analysis of boundary value problems. Specifically, it can be used to find approximations to solutions of boundary value problems on a specific domain...
master thesis 2017
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Lin, Haipeng (author)
The high level of realism of spiking neuron networks and their complexity require a considerable computational resources limiting the size of the realized networks. Consequently, the main challenge in building complex and biologically accurate spiking neuron network is largely set by the high computational and data transfer demands. In this...
master thesis 2017
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