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van den Berg, Jasper (author)The traumatic loss of a hand is a horrific experience usually followed by significant psychological, functional and rehabilitation challenges. Even though much progress has been made in the past decades, the prosthetic challenge of restoring the human hand functionality is still far from being achieved. Autonomous prosthetic hands showed...master thesis 2023
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- van den Bent, Luuk (author) master thesis 2023
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Shetty, Varun (author)The energy transition is a fundamental shift in the world’s energy landscape, aimed at reducing carbon emissions and transitioning to a more sustainable, low-carbon energy system. This transition is closely aligned with the goals of the Paris Agreement, the landmark international treaty adopted in 2015, which seeks to limit global warming, with...master thesis 2023
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van Bussel, Ghislaine (author)This report presents the process of defining a future vision and concept for NS train stations in 2030. This graduation project, in partnership with NS, seeks to explore the future context of NS train stations, taking into account various factors, including societal themes. The ViP method (Hekkert and Van Dijk, 2011) guided the process of...master thesis 2023
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Karnani, Simran (author)In recent years, there has been a growing interest among researchers in the explainability, fairness, and robustness of Computer Vision models. While studies have explored the usability of these models for end users, limited research has delved into the challenges and requirements faced by researchers investigating these requirements. This study...master thesis 2023
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Haarman, Luuk (author)Convolutional Neural Networks (CNNs) benefit from fine-grained details in high-resolution images, but these images are not always easily available as data collection can be expensive or time-consuming. Transfer learning pre-trains models on data from a related domain before fine-tuning on the main domain, and is a common strategy to deal with...master thesis 2023
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Polak, Max (author)Incipient slip detection plays an important role in human and robotic grasping. With the growing use of deep learning in vision-based tactile sensing, the black-box nature of these deep neural networks (DNNs) makes it difficult to analyze, debug, and validate their behavior and learned patterns. To fill this gap, eXplainable AI (XAI) methods...master thesis 2023
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Masouris, Thanos (author)Chess recognition refers to the task of identifying the chess pieces configuration from a chessboard image. Contrary to the predominant approach that aims to solve this task through the pipeline of chessboard detection, square localization, and piece classification, we rely on the power of deep learning models and introduce two novel...master thesis 2023
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Sharma, Anirvin (author)Image data augmentation has been regarded as a reliable and effective way to increase the data available for training. With the advent and rise of Generative AI, generative data augmentation has been shown to realize even better gains in performance for downstream tasks. However, these performance gains are often the cause of "extra information"...master thesis 2023
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Zhan, Fengwei (author)With the introduction of event-based cameras, such as the dynamic vision sensor (DVS), new opportunities have arisen for low-latency real-time visual data processing. Unlike traditional frame-based cameras that capture entire frames at fixed intervals, each pixel in an event-based camera operates asynchronously, generating an event whenever its...master thesis 2023
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Ziad Ahmad Saad Soliman Nawar, Ziad (author)Machine learning (ML) systems for computer vision applications are widely deployed in decision-making contexts, including high-stakes domains such as autonomous driving and medical diagnosis. While largely accelerating the decision-making process, those systems have been found to suffer from a severe issue of reliability, i.e., they can easily...master thesis 2023
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Joo, Jeongha (author)As automation technology continues to transform various industries, achieving both high operational reliability and high efficiency emerges as a critical challenge in task delegation between humans and Automated Systems (ASs). This project, conducted in collaboration with the Royal Schiphol Group (RSG), investigates the intricate dynamics of...master thesis 2023
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van der Burg, Thijs (author)Object pushing in robotics has numerous applications, but it often relies on room-bound object tracking systems such as Motion Capture (MoCap) for accurate object pose acquisition. Such systems limit the potential use scenarios, since they add complexity and cost and require expansion of the sensor infrastructure for expanding the operational...master thesis 2023
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Oudhof, Tamay (author)Society currently faces many complex and significant challenges, dilemmas that lack straightforward solutions and are deeply interconnected. These problems demand a transformative approach that involves reevaluating people’s values, beliefs, attitudes, and behavior. Amidst these ongoing challenges, there is a collective hint of pessimism...master thesis 2023
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Lin, Zhi-Yi (author)Human 3D kinematics estimation involves measuring joint angles and body segment scales to quantify and analyze the mechanics of human movements. It has applications in areas such as injury prevention, disease identification, and sports science. Conventional marker-based motion capture methods are expensive both in terms of financial investment...master thesis 2023
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de Boer, Frans (author)In this paper, we investigate the behaviour of current progress prediction methods on the currently used benchmark datasets. We show that the progress prediction methods can fail to extract useful information from visual data on these datasets. Moreover, when the methods fail to extract visual information, memory-based methods adopt a frame...master thesis 2023
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Farah, Youssef (author)Event cameras are novel bio-inspired sensors that capture motion dynamics with much higher temporal resolution than traditional cameras, since pixels react asynchronously to brightness changes. They are therefore better suited for tasks involving motion such as motion segmentation. However, training event-based networks still represents a...master thesis 2023
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Lammers, Laurens (author)Neuromorphic sensors, like for example event cameras, detect incremental changes in the sensed quantity and communicate these via a stream of events. Desired properties of these signals such as high temporal resolution and asynchrony are not always fully exploited by algorithms that process these signals. Spiking neural networks (SNNs) have...master thesis 2023
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Marsman, Rienk (author), Wams, Tjeerd (author), van der Toorn, Kevin (author)Determining ground level elevation is essential in assessing flood risk. This report presents a com-prehensive framework using state-of-the-art object detection model YOLOv8 trained on a relatively small dataset containing houses, doors and steps. The object detection model is followed up by a post-processing block designed specifically for...bachelor thesis 2023
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van Eeden, Simon (author)Visual inspection of liquid medicine containers for contamination and defects is mandatory and crucial to ensure their safety for injection. This document presents research and development of three modules of the Visual Particle Inspection Subsystem (VPIS), an automatic inspection subsystem with the task of detecting and classifying particle...master thesis 2023