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Rijpkema, Gerben (author)Forensic microtrace investigation relies on a time- and labour-intensive process of manually analysing samples via microscopy. To aid forensic experts in their investigations, an image recognition model for microtrace localisation and classification is needed. This work investigates the trace recognition accuracy that can be achieved by...master thesis 2024
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Dai, Zhicheng (author), Li, Dewei (author), Feng, Y. (author), Yang, Yuming (author), Sun, Long (author)Understanding pedestrian wayfinding behavior is crucial for traffic management and building design. The use of virtual reality technology presents an efficient approach for investigating pedestrian wayfinding behavior in large public spaces, offering numerous advantages for data collection. However, the impact of different scenario dimensions on...journal article 2024
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van der Vliet, Willem (author)Digital twins (DTs) are a common way for city planners and citizens alike to visualize the impact of new policy decisions, simulate scenarios, and plan for disasters. The more detail these DTs have, the more useful they can be. Windows and doors, also known as building openings, are a critical detail missing in Amsterdam’s DT. While previous...master thesis 2023
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Panagiotidou, Ioanna (author)This thesis introduces a Learned-Based Multi-View Semantic Stereo method, addressing the limitations of traditional and learned-based Multi-View Stereo (MVS) techniques in reconstructing reflective and low-textured regions, particularly prevalent in 3D models of buildings. Traditional methods lack completeness, while learned-based methods...master thesis 2023
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Therias, Adele (author)The production of cocoa beans contributes to 7.5% of European Union (EU) driven deforestation. For this reason, the recent European Union Deforestation-free Regulation (EUDR) requires producers to perform comprehensive tracking of cocoa farm extents. However, cocoa crops present unique detection challenges due to their complex canopy structure,...master thesis 2023
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Wei, Wei (author)Active learning has been proposed as a solution to mitigate the expensive and time-consuming process of annotating large-scale autonomous driving datasets. The process typically involves a model initialization phase, followed by multiple iterations aiming at selecting the most informative data based on the initial model. However, we find two...master thesis 2023
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Bruggink, Daan (author)Traversability estimation is a key component in autonomous driving tasks. In many applications, semantic segmentation is used to pixel-wise classify a visual scene. The pixel-wise segmented map is used to estimate the traversability of different environments. The semantic segmentation accuracy can drop if environmental conditions change. The...master thesis 2023
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Pena Pereira, Simon (author)Transforming the global energy sector from fossil-fuel based to renewable energy sources is key to limiting global warming and efficiently achieving climate neutrality. The decentralized nature of the renewable energy system allows private households to install photovoltaic (PV) systems on their rooftops. In this context, planning an efficient...master thesis 2023
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Oyibo, P.O. (author), Meulah, Brice (author), Bengtson, Michel (author), Lieshout, Lisette van (author), Oyibo, Wellington (author), Diehl, J.C. (author), Vdovin, Gleb (author), Agbana, T.E. (author)Purpose: Automated diagnosis of urogenital schistosomiasis using digital microscopy images of urine slides is an essential step toward the elimination of schistosomiasis as a disease of public health concern in Sub-Saharan African countries. We create a robust image dataset of urine samples obtained from field settings and develop a two-stage...journal article 2023
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Yang, Z. (author), Ye, Qin (author), Stoter, J.E. (author), Nan, L. (author)Continuous implicit representations can flexibly describe complex 3D geometry and offer excellent potential for 3D point cloud analysis. However, it remains challenging for existing point-based deep learning architectures to leverage the implicit representations due to the discrepancy in data structures between implicit fields and point...journal article 2023
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Gao, W. (author), Nan, L. (author), Boom, Bas (author), Ledoux, H. (author)We introduce a novel deep learning-based framework to interpret 3D urban scenes represented as textured meshes. Based on the observation that object boundaries typically align with the boundaries of planar regions, our framework achieves semantic segmentation in two steps: planarity-sensible over-segmentation followed by semantic...journal article 2023
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van Driel, Pieter (author)This thesis research proposes a new method for a controlling an agricultural robot using computer vision. The robot has to follow and simultaneously reel in a hose, which lies on a grass field. The hose that has to be followed, is attached to the robot itself. The trajectory of the hose is captured by a monocular camera and is extracted from the...master thesis 2022
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Apra, Irène (author)Automated reconstruction of detailed semantic 3D city models is challenging due to the need for high-resolution (HR) and large-scale input datasets, the ambiguous definition of the ensuing model, the intricacy of the processing pipeline, and its costs. Furthermore, existing methods mainly focus on geometry rather than semantics. Detailed...master thesis 2022
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Caceres Tocora, Camilo (author)Semantic segmentation of aerial images is the ability to assign labels to all pixels of an image. It proves to be essential for various applications such as urban planning, agriculture and real-estate analysis. Deep Learning techniques have shown satisfactory results in performing semantic segmentation tasks. Training a deep learning model is an...master thesis 2022
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Dirks, Rutger (author)For an Autonomous Vehicle (AV) to traverse safely in traffic, It is vital it can anticipate the behavior of surrounding traffic participants using motion prediction. Current motion prediction approaches can be categorized into object-centered and object-agnostic methods and are primarily based on deep learning. The former relies on a human...master thesis 2022
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Bos, Roel (author)Unmanned Ground Vehicle (UGV) navigation in unstructured off-road environments can benefit from accurate traversability estimation. Often, experiments with UGVs use semantic segmentation networks for visual scene understanding. Based on the pixel-wise classification of a semantic segmentation network, the UGV can distinguish traversable from non...master thesis 2022
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Ju, Nicky (author)Color Invariant Convolution (CIConv) is a learnable Convolutional Neural Network (CNN) layer that reduces the distribution shift between the source and target set in the CNN under an illumination-based domain shift. We explore the semantic segmentation performance for daynight domain adaptation when using CIConv. We will test this on two...bachelor thesis 2022
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Tran, Tommy (author)Semantic segmentation methods have been developed and applied to single images for object segmentation. However, for robotic applications such as high-speed agile Micro Air Vehicles (MAVs) in Autonomous Drone Racing (ADR), it is more interesting to consider temporal information as video sequences are correlated over time. In this work, we...master thesis 2022
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Dahle, F. (author), Tanke, Julian (author), Wouters, B. (author), Lindenbergh, R.C. (author)A huge archive of historical images of the Antarctica taken by the US Navy between 1940 and 2000 is publicly available. These images have not yet been used for large-scale computer-driven analysis as they were captured with analog cameras. They were only later digitized and contain no semantic information. Most modern deep-learning based...journal article 2022
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Du, S. (author), Ibrahimli, N. (author), Stoter, J.E. (author), Kooij, J.F.P. (author), Nan, L. (author)Feedforward fully convolutional neural networks currently dominate in semantic segmentation of 3D point clouds. Despite their great success, they suffer from the loss of local information at low-level layers, posing significant challenges to accurate scene segmentation and precise object boundary delineation. Prior works either address this...conference paper 2022