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Lengyel, A. (author)Computer vision algorithms are getting more advanced by the day and slowly approach human-like capabilities, such as detecting objects in cluttered scenes and recognizing facial expressions. Yet, computers learn to perform these tasks very differently from humans. Where humans can generalize between different lighting conditions or geometric...doctoral thesis 2024
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Bier, H.H. (author), Hidding, A.J. (author), Khademi, S. (author), van Engelenburg, C.C.J. (author), Prendergast, J.M. (author), Peternel, L. (author)Real-world applications of Artificial Intelligence (AI) in architecture have been explored more recently at Technical University (TU) Delft by integrating AI in Design-to-Robotic-Production-Assembly and -Operation (D2RPA&O) methods. These embed robotics into building processes and buildings by linking computational design with robotic...conference paper 2024
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Garofano, V. (author), Hepworth, M. (author), Shahin, R. (author), Pang, Y. (author), Negenborn, R.R. (author)In this study, we investigated autonomous vessel obstacle avoidance using advanced techniques within the Guidance, Navigation, and Control (GNC) framework. We propose a Mixed Integer Linear Programming (MILP) based Guidance system for robust path planning avoiding static and dynamic obstacles. For Navigation, we suggest a multi-modal neural...journal article 2024
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Tolsma, Pieter (author)Transparency and specularity are challenging phenomena that modern depth perception systems have to deal with in order to be used in practice. A promising family of depth estimation methods is Multi-View Stereo (MVS), which combines multiple RGB images to predict depth, thus circumventing the need for costly specialized hardware. Although...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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Jia, T. (author), Vallendar, A.J. (author), de Vries, Rinze (author), Kapelan, Z. (author), Taormina, R. (author)Supervised Deep Learning (DL) methods have shown promise in monitoring the floating litter in rivers and urban canals but further advancements are hard to obtain due to the limited availability of relevant labeled data. To address this challenge, researchers often utilize techniques such as transfer learning (TL) and data augmentation (DA)....journal article 2023
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Zweifel, L.Z. (author), Kupski, J.A. (author), Dransfeld, C.A. (author), Caglar, Baris (author), Baz, Stephan (author), Cessario, Damian (author), Gresser, Götz T. (author), Brauner, Christian (author)The aim of this study was to characterise the microstructural organisation of staple carbon fibre-reinforced polymer composites and to investigate their mechanical properties. Conventionally, fibre-reinforced materials are manufactured using continuous fibres. However, discontinuous fibres are crucial for developing sustainable structural...journal article 2023
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Piazzoni, Andrea (author), Cherian, Jim (author), Dauwels, J.H.G. (author), Chau, Lap Pui (author)Even though virtual testing of Autonomous Vehicles (AVs) has been well recognized as essential for safety assessment, AV simulators are still undergoing active development. One particular challenge is the problem of including the Sensing and Perception (S&P) subsystem into the virtual simulation loop in an efficient and effective manner....journal article 2023
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Wen, J. (author), Abeel, T.E.P.M.F. (author), de Weerdt, M.M. (author)Global soft fruit supply chains rely on trustworthy descriptions of product quality. However, crucial criteria such as sweetness and firmness cannot be accurately established without destroying the fruit. Since traditional alternatives are subjective assessments by human experts, it is desirable to obtain quality estimations in a consistent and...journal article 2023
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Ilioudi, A. (author), Wolf, B.J. (author), Dabiri, A. (author), De Schutter, B.H.K. (author)The majority of computer vision architectures are developed based on the assumption of the availability of good quality data. However, this is a particularly hard requirement to achieve in underwater conditions. To address this limitation, plenty of underwater image enhancement methods have received considerable attention during the last...conference paper 2023
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Eggers, Yvonne (author)Event cameras and spiking neural networks (SNNs) allow for a highly bio-inspired, low-latency and power efficient implementation of optic flow estimation. Just recently, a hierarchical SNN was proposed in which motion selectivity is learned from raw event data in an unsupervised manner using spike-timing-dependent plasticity (STDP). However,...master thesis 2022
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Kargul, Radek (author)Spending time in front of screens has become an inescapable activity, which might be interrupted by unrelated external causes. While automatic approaches to identify mind-wandering (MW) have already been investigated, past research was done with self-reports or physiological data. This work explores automated detection utilizing solely facial...bachelor thesis 2022
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Gupta, Akshit (author)Urban forests and vegetation are fundamental for developing resilient cities. Thus, the effective management and protection of urban trees and greenery are essential. Nowadays, urban trees are experiencing atypical amount of natural and human-induced stresses which affects their functionality, productivity and survival. The current methods for...master thesis 2022
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Balayn, A.M.A. (author), Rikalo, N. (author), Lofi, C. (author), Yang, J. (author), Bozzon, A. (author)Deep learning models for image classification suffer from dangerous issues often discovered after deployment. The process of identifying bugs that cause these issues remains limited and understudied. Especially, explainability methods are often presented as obvious tools for bug identification. Yet, the current practice lacks an understanding...conference paper 2022
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van der Burg, Vera (author), Akdag Salah, A.A. (author), Chandrasegaran, R.S.K. (author)Emerging practices of using ‘off the shelf’ AI as a creative partner in design processes are receiving increasing attention in design research. This paper takes the well-known concept of ‘framing’ in design, along with the Schönian concept of ‘surprise’ to explore how a human-AI dialogue could work. The approach taken is practice-based, with the...conference paper 2022
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Zeng, Wei (author)To study how to involve the end-users in the development of machine learning explainability, this project has chosen the context of bird species identification. It intends to develop a platform where the end-users can learn bird knowledge while contributing to building the explainability of machine learning models. Among all the methods that...master thesis 2021
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Patil, Sandeep (author)Lane detection represents a fundamental task for automated/autonomous vehicles. Current lane detection methods do not provide the versatility of real-time performance, robustness,and accuracy required for real-world scenarios. The reasons include lack of computing power while being portable and inability to observe the continuity and structure...master thesis 2021
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Bonekamp, Jorge (author)Specular light reflections are the mirror-like reflections from a material interface. They appear in the observation of any illuminated surface. Specular reflections can be set apart from the diffuse reflection type, which has a random distribution of reflection directions. The radiance of the specular reflected light is governed by the Fresnel...master thesis 2021
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Ulev, Petar (author)This research paper analyses the effect that using frequency information can have on object detectors. The latter are complex networks that learn information about objects from images and are then able to predict the location of these objects in new, unseen images. There are, however, certain datasets that are hard to learn on, partly because...bachelor thesis 2021
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van der Sar, martijn (author)Pick and place systems that operate in a warehouse setting have been studied a lot recently due to the high economic value for e-commerce companies. In this thesis, the focus is on the perception pipeline that performs object recognition given a certain input data stream (typically RGB-D images). Impressive results regarding object recognition...master thesis 2021