Searched for: subject%253A%2522vision%2522
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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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Liu, Chaoyang (author), Li, Xueyuan (author), Liu, Qi (author), Yang, Fan (author), Li, Z. (author), Li, Mengkai (author)
With the development of unmanned vehicle technology, unmanned vehicles have played a huge role in logistics transportation, emergency rescue and disaster relief, etc., so the research on unmanned vehicles is becoming more and more important. Road detection is an important part of environmental perception and an important factor in the...
conference paper 2023
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Zhang, Qinglong (author), Han, Rui (author), Liu, Chi Harold (author), Wang, Guoren (author), Chen, Lydia Y. (author)
Vision applications powered by deep neural networks (DNNs) are widely deployed on edge devices and solve the learning tasks of incoming data streams whose class label and input feature continuously evolve, known as domain shift. Despite its prominent presence in real-world edge scenarios, existing benchmarks used by domain adaptation methods...
conference paper 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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Urselmann, H.H. (author), Gülmez, D.E. (author), Dransfeld, C.A. (author)
Discontinuous fiber composites (DFC) have properties such as notch insensitivity, short processing times, and large shaping freedom [1-3]. However, the mechanical behavior of ROT composites is less predictable compared to continuous fiber composites due to the mesoscopic heterogeneity of the material [4]. Controlling the tape alignment is a...
conference paper 2022
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Noom, J. (author), Soloviev, O.A. (author), Smith, C.S. (author), Nguyen, Hieu Thao (author), Verhaegen, M.H.G. (author)
We demonstrate a novel closed-loop input design technique on the detection of particles in an imaging system such as a fluorescence microscope. The probability of misdiagnosis is minimized while constraining the input energy such that for instance phototoxicity is reduced. The key novelty of the closed-loop design is that each next input is...
conference paper 2022
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Noom, J. (author), Soloviev, O.A. (author), Smith, C.S. (author), Verhaegen, M.H.G. (author)
Some applications require high level of image-based classification certainty while keeping the total illumination energy as low as possible. Examples are minimally invasive visual inspection in Industry 4.0, and medical imaging systems such as computed tomography, in which the radiation dose should be kept “as low as is reasonably achievable”...
conference paper 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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Dupeyroux, J.J.G. (author), Dinaux, Raoul (author), Wessendorp, Nikhil (author), de Croon, G.C.H.E. (author)
In this paper, we introduce the Obstacle Detection and Avoidance (ODA) Dataset for Drones, aiming at providing raw data obtained in a real indoor environment with sensors adapted for aerial robotics in the context of obstacle detection and avoidance. Our micro air vehicle (MAV) is equipped with the following sensors: (i) an event-based camera...
conference paper 2022
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Rosi, Emanuele Riccardo (author), Stölzle, Maximilian (author), Solari, Fabio (author), Della Santina, C. (author)
The nature of continuum soft robots calls for novel perception solutions, which can provide information on the robot's shape while not substantially modifying their bodies' softness. One way to achieve this goal is to develop innovative and completely deformable sensors. However, these solutions tend to be less reliable than classic sensors for...
conference paper 2022
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Chebykin, Alexander (author), Alderliesten, T. (author), Bosman, P.A.N. (author)
To achieve excellent performance with modern neural networks, having the right network architecture is important. Neural Architecture Search (NAS) concerns the automatic discovery of task-specific network architectures. Modern NAS approaches leverage super-networks whose subnetworks encode candidate neural network architectures. These...
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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Luttun, Johan (author), Krijnen, T.F. (author)
Recent progress in computer vision and the pervasive use of Building Information Models (BIM) in the construction industry provide countless opportunities for decision making in architectural design. It allows capturing real-world geometrical data for assessing design options, such as windows products for replacement on the façade of an existing...
conference paper 2021
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Meister, S. (author), Wermes, Mahdieu A.M. (author), Stuve, Jan (author), Groves, R.M. (author)
Automated fibre layup techniques are commonly used composite manufacturing processes in the aviation sector and require a manual visual inspection. Neural Network classification of defects has the potential to automate this visual inspection, however, the machine decision-making processes are hard to verify. Thus, we present an approach for...
conference paper 2021
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Bahnam, Stavrow (author), Pfeiffer, S.U. (author), de Croon, G.C.H.E. (author)
Current existing stereo visual odometry algorithms are computationally too expensive for robots with restricted resources. Executing these algorithms on such robots leads to a low frame rate and unacceptable decay in accuracy. We modify S-MSCKF, one of the most computationally efficient stereo Visual Inertial Odometry (VIO) algorithm, to improve...
conference paper 2021
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Noom, J. (author), Nguyen, Hieu Thao (author), Soloviev, O.A. (author), Verhaegen, M.H.G. (author)
This manuscript presents an improvement of state-of-the-art Closed-Loop Active Model Diagnosis (CLAMD). The proposed method utilizes weighted Bhattacharyya coefficients evaluated at the vertices of the polytopic constraint set to provide a good trade-off between computational efficiency and satisfactory input choice for separation of candidate...
conference paper 2021
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Meister, S. (author), Wermes, Mahdieu Amin Mahdieu (author), Stüve, Jan (author), Groves, R.M. (author)
The Automated Fiber Placement process is established in the aerospace industry for the production of composite components. This technique places several narrow material strips in parallel. Within current industrial Automated Fiber Placement processes the visual inspection takes typically up to 50% of overall production time. Furthermore,...
conference paper 2020
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Dankfort, Z.S. (author), Gonçalves, M. (author), Wegener, F.E. (author)
This paper explores the use of visual storytelling, for instance sketching, in organisational strategy practices. It contributes to an understanding of how design education has to change in order to broaden the skillset of design students, for them to be able to redesign organisations.
conference paper 2019
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Derner, Erik (author), Gomez, Clara (author), Hernandez, Alejandra C. (author), Barber, Ramon (author), Babuska, R. (author)
Autonomous mobile robots are becoming increasingly important in many industrial and domestic environments. Dealing with unforeseen situations is a difficult problem that must be tackled in order to move closer to the ultimate goal of life-long autonomy. In computer vision-based methods employed on mobile robots, such as localization or...
conference paper 2019
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Gudi, A.A. (author), Bittner, M. (author), Lochmans, Roelof (author), van Gemert, J.C. (author)
Remote photo-plethysmography (rPPG) uses a remotely placed camera to estimating a person's heart rate (HR). Similar to how heart rate can provide useful information about a person's vital signs, insights about the underlying physio/psychological conditions can be obtained from heart rate variability (HRV). HRV is a measure of the fine...
conference paper 2019
Searched for: subject%253A%2522vision%2522
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