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Metin, Ferkan (author)Artificial Intelligence can extend human frontiers and complement our capabilities. This project presents AI-powered smart glasses that empower visually impaired people to achieve greater independence and social integration. Since AI is a developing discipline, we enhance reliability by providing the opportunity for reciprocal learning between...master thesis 2020
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Florijn, Floris Jan (author)Computer vision has been on the rise over the last decades. The applications of computer vision are mostly found within the domain of robotics and Unmanned Aerial Vehicle's. The use of computer visions in precision industry is new and offers both opportunities and challenges. In high performance precision systems the demands on sensors is set...master thesis 2018
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Montesinos García, Lucas (author)Authentication is becoming an increasingly important application in the connected world and is driven by the growing use of mobile and IoT devices that use an increasing number of applications that require transactions of sensitive data. Security usually relies on passwords and/or two-factor authentication which are too intrusive for daily use....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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Marcelis, N.H.H. (author)With the performance of current motion planning methods being highly dependent on the quality of the perception system, robust 3D multi-object detection and tracking are vital for autonomous driving applications. Despite all the advancements in 2D and 3D object detectors, robust tracking of pedestrians in dense scenarios is still a challenging...master thesis 2021
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Basu, Debadeep (author)This work applies the theory of group equivariance to the domain of video action recognition replacing standard 3Dconvolutions with group convolutions which are equivariant to temporal direction, and multiples of 90-degree spatial rotations. We propose a temporal direction symmetry group T2 and extend the standard planar rotations group to three...master thesis 2021
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Hommos, Omar (author)Action recognition continues to receive significant attention from the research community, with new neural network architectures being developed continuously. Optical flow is by far the most popular input motion representation to these architectures, leaving a lot of undiscovered potential for other types of motion representations. Eulerian...master thesis 2018
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Lelekas, Ioannis (author)Biological vision adopts a coarse-to-fine information processing pathway, from initial visual detection and binding of salient features of a visual scene, to the enhanced and preferential processing given relevant stimuli. On the contrary, CNNs employ a fine-to-coarse processing, moving from local, edge-detecting filters to more global ones...master thesis 2020
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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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Maskam, Richie (author)Various tasks in the construction industry are tedious due to the high amount of repetition or time-consuming nature. In recent years Deep Learning within computer vision has made it possible to automate various tasks using images. The Hoofdvaarweg Lemmer-Delfzijl has been assessed using images and a pointcloud. The images were being worked with...master thesis 2022
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Mullenders, Vincent (author)Imagine standing under a load with a weight equivalent to more than 5,000 Tesla’s model X. Panicking is not an option and you need to be fully focused on completing a crucial task. There is no option to leave this precarious situation and your contribution is vital to the success of a multi-million dollar project. Sounds frightening, right?...master thesis 2019
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Bao, Ziyu (author)Regression is difficult because of noise, imbalanced data sampling, missing data, etc. We propose a method by classifying the continuous regression labels to tackle regression robustness problems. We analyze if our method can help regression, given that the class information is already included in the regression labels. We start by extensively...master thesis 2022
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Sun, Wei (author)This work applies keypoint detection method to solve gate recognition problem. Unlike regular object detection task, gate recognition problem is made difficult by the fact that gate is empty wireframe which means that the object surrounded by gate-edge is not relevant and should not be taken into consideration when detecting. However, regular...master thesis 2019
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Yang, Wei-Tse (author)We present the first deep learning approach to estimate the human skeletal system of the musculoskeletal model from monocular video. The current practice of musculoskeletal modeling relies on a motion capture system and OpenSim. The data is recorded in a restricted environment, and OpenSim workflow for musculoskeletal modeling is costly. Our...master thesis 2021
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de Sonnaville, Rudolf (author)Background<br/>One of VDL most complex products is the Wafer Handler a machine with the function of thermal conditioning, centering and aligning wafers for the subsequent photolithography processes. The function of centering a wafer is performed by a submodule of the WH, the Centring Unit (cu) Currently the CU has two main limitations which make...master thesis 2022
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Pytel, Rafal (author)Occlusion degrades the performance of human pose estimation. In this paper, we introduce targeted keypoint and body part occlusion attacks. The effects of the attacks are systematically analyzed on the best-performing methods. In addition, we propose occlusion specific data augmentation techniques against keypoint and part attacks. Our extensive...master thesis 2020
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Li, Xin (author)Visual context plays a key role in many computer vision tasks, and performance of eye/gaze-tracking methods also benefit from it. However, the size of contextual information (e.g. full face image) is very large w.r.t the primary input i.e. cropped image of the eye. This adds large computational costs to the algorithm and makes it inefficient,...master thesis 2019
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Tziouvara, I. (author)In this thesis, a projector-based Spatial Augmented Reality (SAR) system designed and developed to be applied to support physical and virtual 3D Rapid Prototyping in the field of Industrial Design Engineering is presented. The main contribution is a 3D scanner to get a virtual model of a physical model and tools to support the design of features...master thesis 2012
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Kihara, Tomo (author)Escape the Smart City is a critical pervasive game for creating awareness about the implications of AI-surveillance technology in the smart city. It responds to growing concerns over the mass deployment of surveillance cameras that are enhanced with artificial intelligence (AI) which are turning the cities into digital panopticons (Sadowski &...master thesis 2018
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Jeken Rico, P. (author)The following project deals with the optimization of simulation parameters such as the injection location and pitch angle of polyurethane foaming simulations using artificial neural networks. The model's target is to predict quality variables based on the process parameters and the geometry features. Through several evaluations of the model,...master thesis 2021