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Bai, Chengchao (author), Yan, Peng (author), Piao, Haiyin (author), Pan, W. (author), Guo, Jifeng (author)
This article explores deep reinforcement learning (DRL) for the flocking control of unmanned aerial vehicle (UAV) swarms. The flocking control policy is trained using a centralized-learning-decentralized-execution (CTDE) paradigm, where a centralized critic network augmented with additional information about the entire UAV swarm is utilized...
journal article 2024
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Siebinga, O. (author), Zgonnikov, A. (author), Abbink, D.A. (author)
Traffic interactions between merging and highway vehicles are a major topic of research, yielding many empirical studies and models of driver behaviour. Most of these studies on merging use naturalistic data. Although this provides insight into human gap acceptance and traffic flow effects, it obscures the operational inputs of interacting...
journal article 2024
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Zhang, Xiang (author), Touya, Guillaume (author), Meijers, B.M. (author)
Automated map generalization has been a major area of research for decades but has still not reached maturity. Besides the needs for more adaptive algorithms, a fundamental question remains: How can we transfer human generalization knowledge into a computational system more effectively? Previous efforts do not seem capable to fully overcome the ...
contribution to periodical 2024
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Balint, J.T. (author), Bidarra, Rafael (author)
A narrative world typically consists of several interrelated locations that, all together, fully support enacting a given story. For this, each location in a narrative world features all the objects as required there by the narrative, as well as a variety of other objects that plausibly describe or decorate the location. Procedural generation...
journal article 2023
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de Jong, D.B. (author), Paredes-Vallés, Federico (author), de Croon, G.C.H.E. (author)
End-to-end trained convolutional neural networks have led to a breakthrough in optical flow estimation. The most recent advances focus on improving the optical flow estimation by improving the architecture and setting a new benchmark on the publicly available MPI-Sintel dataset. Instead, in this article, we investigate how deep neural...
journal article 2022
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Zhao, Jian (author), Xu, Shenyu (author), Chandrasegaran, R.S.K. (author), Bryan, Christopher James (author), Du, Fan (author), Mishra, Aditi (author), Qian, Xin (author), Li, Yiran (author), Ma, Kwan Liu (author)
Visual data storytelling is gaining importance as a means of presenting data-driven information or analysis results, especially to the general public. This has resulted in design principles being proposed for data-driven storytelling, and new authoring tools being created to aid such storytelling. However, data analysts typically lack...
journal article 2022
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Wenk, Nicolas (author), Jordi, Mirjam V. (author), Buetler, Karin A. (author), Marchal Crespo, L. (author)
Combining immersive virtual reality (VR) using head-mounted displays (HMDs) with assisting robotic devices might be a promising procedure to enhance neurorehabilitation. However, it is still an open question how immersive virtual environments (VE) should be designed when interacting with rehabilitation robots. In conventional training, the...
journal article 2022
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Reichert, Gijs M. W. (author), Pieras Sagardoy, M. (author), Marroquim, Ricardo (author), Vilanova Bartroli, A. (author)
One common way to aid coaching and seek to improve athletes’ performance is by recording training sessions for posterior analysis. In the case of sailing, coaches record videos from another boat, but usually rely on handheld devices, which may lead to issues with the footage and missing important moments. On the other hand, by autonomously...
journal article 2021
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Basalp, Ekin (author), Wolf, Peter (author), Marchal Crespo, L. (author)
The use of robots has attracted researchers to design numerous haptic training methods to support motor learning. However, investigations of new methods yielded inconclusive results regarding their effectiveness to enhance learning due to the diversity of tasks, haptic designs, participants skill level, and study protocols. In this review, we...
review 2021
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Nogal Macho, M. (author), Nogal, A. (author)
Engineering models are becoming increasingly complex, involving a larger number of variables. As a result, engineers struggle to deeply understand the models and therefore validate and properly use them. Sensitivity analyses (SA) are usually conducted to help with this task. Nonetheless, the knowledge and computational efforts required to...
journal article 2021
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Rieder, J.S.I. (author), van Tol, D.H. (author), Aschenbrenner, D. (author)
This paper analyzes the effective accuracy for close-range operations for the first and the second generation of Microsoft HoloLens in combination with Vuforia Image Targets in a black-box approach. The implementation of Augmented Reality (AR) on optical see-through (OST), head-mounted devices (HMDs) has been proven viable for a variety of...
conference paper 2021
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Zhang, Guan ting (author), Verbree, E. (author), Wang, Xiao jun (author)
Sustainable development can only be achieved with an innovative improvement from the way we currently analyze, design, build and manage our urban spaces. Current digital analysis and design methods for cities, such as visibility analysis, deeply rely on mapping and modeling techniques. However, most methods fall short of depicting the real...
journal article 2021
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Zhang, Xiaoyu (author), Chandrasegaran, R.S.K. (author), Ma, Kwan Liu (author)
Current text visualization techniques typically provide overviews of document content and structure using intrinsic properties such as term frequencies, co-occurrences, and sentence structures. Such visualizations lack conceptual overviews incorporating domain-relevant knowledge, needed when examining documents such as research articles or...
conference paper 2021
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Kulhanek, Jonas (author), Derner, Erik (author), Babuska, R. (author)
Visual navigation is essential for many applications in robotics, from manipulation, through mobile robotics to automated driving. Deep reinforcement learning (DRL) provides an elegant map-free approach integrating image processing, localization, and planning in one module, which can be trained and therefore optimized for a given environment....
journal article 2021
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de Hoon, N.H.L.C. (author), Jalba, A.C. (author), Farag, E.S. (author), van Ooij, P. (author), Nederveen, A. J. (author), Eisemann, E. (author), Vilanova Bartroli, A. (author)
Phase-Contrast Magnetic Resonance Imaging (PC-MRI) surpasses all other imaging methods in quality and completeness for measuring time-varying volumetric blood flows and has shown potential to improve both diagnosis and risk assessment of cardiovascular diseases. However, like any measurement of physical phenomena, the data are prone to noise,...
journal article 2020
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Duan, Zhiyao (author), Essid, Slim (author), Liem, C.C.S. (author), Richard, Gael (author)
In the physical sciences and engineering domains, music has traditionally been considered an acoustic phenomenon. From a perceptual viewpoint, music is naturally associated with hearing, i.e., the audio modality. Moreover, for a long time, the majority of music recordings were distributed through audio-only media, such as vinyl records,...
journal article 2019
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van der El, Kasper (author), Pool, D.M. (author), van Paassen, M.M. (author), Mulder, Max (author)
Novel driver support systems potentially enhance road safety by cooperating with the human driver. To optimize the design of emerging steering support systems, a profound understanding of driver steering behavior is required. This article proposes a new theory of driver steering, which unifies visual perception and control models. The theory...
journal article 2019
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Barendswaard, S. (author), Pool, D.M. (author), van Paassen, M.M. (author), Mulder, Max (author)
Vehicle control tasks require simultaneous control of multiple degrees-of-freedom. Most multi-axis human-control modeling is limited to the modeling of multiple fully independent single axes. This paper contributes to the understanding of multi-axis control behavior and draws a more realistic and complete picture of dual-axis manual control....
journal article 2019
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Aigner, Benedikt (author), van Gent, I. (author), la Rocca, G. (author), Stumpf, Eike (author), Veldhuis, L.L.M. (author)
A new system is presented that enables the visualization of large multidisciplinary design optimization (MDO) problems and their solution strategy. It was developed within the scope of the European project AGILE. In AGILE, collaborative MDO is performed in large, heterogeneous teams of experts by solving MDO problems using a collection of...
journal article 2018
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Gkeli, Maria (author), Potsiou, Chryssy (author), Ioannidis, Charalabos (author)
The rapid economic and social transformation over the last several years, has led to multiple rearrangements regarding the land administration procedures. Vertically growing cities, complex infrastructure, subdivision of three-dimensional (3D) space through several uses and overlapping property rights have increased the demand for establishing...
conference paper 2018
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