Searched for: subject%3A%22Computer%255C+vision%22
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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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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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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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Cabrera Quiros, L.C. (author), Hung, H.S. (author)
We address the complex problem of associating several wearable devices with the spatio-temporal region of their wearers in video during crowded mingling events using only acceleration and proximity. This is a particularly important first step for multi-sensor behavior analysis using video and wearable technologies, where the privacy of the...
journal article 2019
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Liu Cheng, Alexander (author)
This essay promotes Artificial Intelligence (AI) via Machine Learning (ML) as a fundamental enabler of technically intelligent built-environments. It does this by detailing ML’s successful application within three deployment domains: (1) Human Activity Recognition, (2) Object as well as Facial-Identity and -Expression Recognition, and (3) Speech...
journal article 2018
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Bazzica, A. (author)
Digital music platforms have recently become the primary revenue stream for recorded music, making record labels and content owners increasingly interested in developing new digital features for their users.<br/>Besides listening to expert-curated playlists and automatically recommended music, users can also benefit from a more informative, non...
doctoral thesis 2017
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Tomé, A. (author), Heitor, T. (author), Nunes, M. (author)
This paper examines analytical procedures aimed at the study of the functional condition of architectural artefacts and, as a result, the promotion of a better understanding of the connections established with spatial conditions. The goal is to contribute to the development of techniques based on computer vision of mobility and users’...
conference paper 2013
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Huo, F. (author)
In the last decade, computer vision has drawn more and more attention because of its potential applications in our daily lives, such as health care, education, safety, and training. However the high complexity of many of the vision-based approaches hinders their practical applications, especially in applications where immediate feedback is...
doctoral thesis 2013
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Li, Y. (author)
Scale is an important parameter of images. Different objects or image structures (e.g. edges and corners) can appear at different scales and each is meaningful only over a limited range of scales. Multi-scale analysis has been widely used in image processing and computer vision, serving as the basis for many high-level image analysis systems....
doctoral thesis 2013
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Koenderink-Ketelaars, N.J.J.P. (author)
This thesis focusses on the modelling of knowledge-intensive computer vision tasks. Knowledge-intensive tasks are tasks that require a high level of expert knowledge to be performed successfully. Such tasks are generally performed by a task expert. Task experts have a lot of experience in performing their task and can be a valuable source of...
doctoral thesis 2010
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Rothkrantz, L.J.M. (author), Yang, Z. (author)
One of the goals of the crowd control project at Delft University of Technology is to detect and track people during a crisis event, classify their behavior and assess what is happening. The assumption is that the crisis area is observed by multiple cameras (fixed or mobile). The cameras sense the environment and extract features such as the...
conference paper 2009
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Persa, S.F. (author)
The focus of this thesis is on studying diverse techniques, methods and sensors for position and orientation determination with application to augmented reality applications. In Chapter 2 we reviewed a variety of existing techniques and systems for position determination. From a practical point of view, we discussed the need for a mobile system...
doctoral thesis 2006
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Van den Heuvel, F.A. (author)
Architectural photogrammetry has been practised for more than a century for the documentation of cultural heritage. Nowadays, the emphasis is on the construction of computer models for virtual reality applications. Since the introduction of the computer, and later the digital camera, research in photogrammetry aims at automation. This thesis...
doctoral thesis 2003
Searched for: subject%3A%22Computer%255C+vision%22
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