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van Zwienen, Benjamin (author)In the literature, neural network compression can significantly reduce the number of floating-point operations (FLOPs) of a neural network with limited accuracy loss. At the same time, it is common to manually design smaller networks instead of using modern compression techniques. This thesis will compare the two approaches for the object...master thesis 2023
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Schuurmans, Juul (author)Inadvertent bird nest destruction by autonomous mowing machines poses significant threats to the breeding success of meadow birds. Drone-based detection methods represent the current state-of-the-art for bird nest localization to attain mower circumvention. However, they only identify 80% of bird nests with average localization error of 3.344...master thesis 2023
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Sinha, Tishar (author)This research introduces a novel approach for 3D object detection utilizing language models, with a particular focus on addressing the challenges that have been encountered in the autonomous vehicle domain. The primary objective revolves around addressing the constraints associated with object detection models that rely heavily on labeled data...master thesis 2023
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Shi, W. (author)As a more convenient alternative to conductive charging technology, wireless charging is seen as a key technology drive for transportation electrification. In electric vehicle (EV) battery charging applications, wireless power is transferred through a magnetic link, so it is referred to as inductive power transfer (IPT). One advantage of IPT...doctoral thesis 2023
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Lafontaine, Stijn (author)This thesis focuses on closed-loop product grasping from supermarket shelves. The case is studied where the robot is in front of a shelf in an Albert Heijn supermarket and is tasked to pick a desired product from that shelf. Enabling a robot to achieve the product-picking task, however, is challenging. While many other robotic picking methods...master thesis 2023
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Vadachennimalai Selvaraj, Suryaa (author)The Automatic Identification System (AIS) is used in the maritime domain to improve sea traffic safety by requiring vessels to broadcast real-time information such as identity, speed, location, and course. As it allows global monitoring of almost any larger vessel and has the potential to considerably improve vessel traffic services and...master thesis 2023
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van Veldhuijzen, Emiel (author)Advancements in radar technology such as phased array antennas, digital beamforming, and adaptable waveform generation have led to the flexibility in controlling radar resources such as scan time, beamwidth and bandwidth during a radar mission. This new flexibility has led to a new research topic, radar resource management. Radar resource...master thesis 2023
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Middelhoek, Femke (author)Abstract—The MOSES project develops an autonomous vessel equipped with an autonomous crane to optimise the supply chain of shortsea shipping. This study focusses on monitoring the safety of the port environment based on stereo camera data generated by sensors attached to the crane at 15m altitude, oriented 45° downward. The objective is to...master thesis 2023
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van Geerenstein, Mathijs (author)3D object detection models that exploit both LiDAR and camera sensor features are top performers in large-scale autonomous driving benchmarks. A transformer is a popular network architecture used for this task, in which so-called object queries act as candidate objects. Initializing these object queries based on current sensor inputs leads to...master thesis 2023
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Lieuw A Soe, Devin (author)This paper studies the effect of integrating color equivariance and invariance into object detection, in particular into the Faster R-CNN architecture. To better understand the influence of this integration, we introduce modifications to the traditional convolutional layers of the standard Faster R-CNN model. By employing group theory in a...master thesis 2023
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Huizer, Rick (author)Automated imaging systems, critical in domains like medical imaging, autonomous driving, and security, experience noise from camera sensors and electronic circuits in bad or dark lighting conditions. This impacts downstream tasks, including object detection. However, an analysis of strategies combining denoising and object detection is lacking....master thesis 2023
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WANG, HAORAN (author)In contrast to the prevalent focus on real photos in computer vision research, we present a contribution by making the Ot & Sien dataset machine learning-ready for object detection tasks in illustrations. We refer to the new dataset as Ot & Sien++ that is composed of scanned images of children’s book illustrations, thereby venturing into...master thesis 2023
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Pipeline construction for the automated text retrieval, editing, and deletion in comic illustrationsvan Setten, Jordi (author)With the increasing demand for high- quality data in the field of Machine Learning and AI, the availability of such data has become a major bottleneck for further advancements. This paper proposes a novel approach to extract valuable data from comic illustrations, aiming to address the scarcity of labeled datasets. By leveraging popular comic...bachelor thesis 2023
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Barbero García, I. (author), Kuschnerus, M. (author), Vos, S.E. (author), Lindenbergh, R.C. (author)Sandy beaches are subject to changes due to multiple factors, that are both natural (e.g. storms) and anthropogenic. Great efforts are being made to monitor these ecosystems and understand their dynamics in order to assure their conservation. The identification of anthropogenic changes and its differentiation from natural ones is an important...journal article 2023
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Theisen, M.F. (author), Nishizaki Flores, K.F. (author), Schulze Balhorn, L. (author), Schweidtmann, A.M. (author)Advances in deep convolutional neural networks led to breakthroughs in many computer vision applications. In chemical engineering, a number of tools have been developed for the digitization of Process and Instrumentation Diagrams. However, there is no framework for the digitization of process flow diagrams (PFDs). PFDs are difficult to...journal article 2023
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Liu, Zhenyu (author), van Oosterom, P.J.M. (author), Balado Frías, J. (author), Swart, Arjen (author), Beers, Bart (author)The Mobile Laser Scanning (MLS) data inevitably includes dynamic objects because there are always other vehicles (e.g., other cars, motorbikes, bikes, etc.) moving in the area near the MLS data collection vehicle on the road. These dynamic objects need to be removed in advance for many point cloud applications. This paper designs an efficient...journal article 2023
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Cooperative Task Execution for Object Detection in Edge Computing: An Internet of Things ApplicationAmanatidis, Petros (author), Karampatzakis, Dimitris (author), Iosifidis, G. (author), Lagkas, Thomas (author), Nikitas, Alexandros (author)The development of computer hardware and communications has brought with it many exciting applications in the Internet of Things. More and more Single Board Computers (SBC) with high performance and low power consumption are used to infer deep learning models at the edge of the network. In this article, we investigate a cooperative task...journal article 2023
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Garrido Valenzuela, F.O. (author), Cats, O. (author), van Cranenburgh, S. (author)A thorough understanding of how urban space characteristics, such as urban equipment or network topology, affect people's density in urban spaces is essential to well-informed urban policy making. Hitherto, studies have primarily examined how the characteristics of the urban space impacts the number of people visiting different parts of the...journal article 2023
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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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Chandran, Godwin Rayan (author)Video Object Detectors (VID) are used in various applications such as surveillance, inspection, etc. Often in these applications there exists a spatial area of interest and a static background. The static backgrounds remain constant throughout the video sequence in the training data establishing an undesirable correlation with the moving object...master thesis 2022