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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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Jol, Cees (author)Strawberries have a short shelf-life time and thus need to be harvested at the right time to reduce waste. To this end, information about quality attributes is useful. Recently, many computer vision methods have been proposed. Most literature analyzes postharvest, which means that strawberries can only be analyzed after harvesting. As a result,...master thesis 2022
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Sitaldin, Dewwret (author)In the open world, machine learning (ML) models can encounter a multitude of unknown or novel classes. In a surveillance, safety, or security use case, unknown samples can pose potential threats that are hard to detect since those samples have never been trained on. At the same time, most of the unknowns that will be encountered by a...master thesis 2022
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POLYA RAMESH, CHINMAY (author)Camera-based patient monitoring is undergoing rapid adoption in the healthcare sector with the recent COVID-19 pandemic acting as a catalyst. It offers round-the-clock monitoring of patients in clinical units (e.g. ICUs, ORs), or at their homes through installed cameras, enabling timely, pre-emptive care. These are powered by Computer Vision...master thesis 2022
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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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Reinhard, Marko (author)To meet global market demands, it will remain important to further scale up photovoltaics (PV) production. During the production of solar cells, several defects can occur. Current approaches in quality inspection are reaching their speed limits. This thesis project evaluates the feasibility of faster quality inspection by using deep learning...master thesis 2022
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Zhang, QI (author)In image search, an algorithm tries to identify images in a database that are similar to a query image. Image search has numerous applications. For example, image search can help historians find images of a historical building from a large image database of buildings worldwide. Feature extraction and nearest neighbors methods are standard steps...master thesis 2022
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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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Spasov, Mihail (author)Image registration is the process that overlays two or more images from different sources taken at different times and angles. Art conservators take various scans of paintings and then register them against the original in order to learn more about the working style of the artist, materials used and physical changes throughout time. This paper...bachelor thesis 2022
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de Rijk, Philip (author)Knowledge Distillation (KD) is a well-known training paradigm in deep neural networks where knowledge acquired by a large teacher model is transferred to a small student. KD has proven to be an effective technique to significantly improve the student's performance for various tasks including object detection. As such, KD techniques mostly rely...master thesis 2022
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Zhang, Xiangxie (author)Location information is essential for the ViT model. Image data has three types of location information: absolute location, relative direction, and relative distance. Various position embeddings methods have been used to introduce location information to the ViT model. Some existing methods are absolute position embeddings, relative position...master thesis 2022
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van der Heijden, Lars (author)Missions to small bodies are increasingly gaining interest as they might hold the secrets to our solar system’s origin while some are also posing a threat to life on Earth. The small size and irregular shape result in complex dynamics complicating the close-proximity operations. Furthermore, due to the long round-trip time communication delays...master thesis 2022
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Saaybi, Serge (author)Robotic agents can continuously provide feedback to people based on their behaviors. For instance, a robot swarm can remind a group of people to respect social distancing guidelines during a pandemic or discourage unwanted behavior such as littering. However, developing a swarm robot to operate in realistic situations is challenging: a robot...master thesis 2022
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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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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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Arunmoli, Karthik Arvind (author)Learning from demonstration is a technique where the robot learns directly from humans. It can be beneficial to learn from humans directly because humans can easily demonstrate complex behaviors without being experts in demonstrating required tasks. However, it can be challenging to gather large amounts of data from humans because humans often...master thesis 2021
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Andrade Borges, Elvis (author)Designing the future of work is a goal that is currently being tackled by both industry and academia. In a scenario where we have Human-Robot hybrid teams, it will be necessary for both human and robots to be aware of each other in their respective tasks. This thesis explores how specific robots (cobots - collaborative robots) can use Computer...master thesis 2021
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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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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
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Marwade, Anwesh (author)Estimation of physiological signals like heart rate using remote photoplethysmography (rPPG) provides non-contact health monitoring with important applications in remote healthcare, patient interaction, and sport related activities. Existing rPPG approaches can robustly measure heart rate from facial videos under some degree of motion through...master thesis 2021