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Nederlof, R. (author), Kooij, R.N.F. (author), Veldhuis, L.L.M. (author), Sinnige, T. (author)
With the rise of distributed propeller concepts, there is an increased interest in quantifying the interaction between propeller slipstream and wing. It is known from literature that the local upwash induced by the propeller swirl can lead to a reduction of the wing-induced drag, a phenomenon often referred to as swirl recovery. However, at the...
conference paper 2023
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Wang, F. (author), Kooij, Robert (author)
Network controllability and its robustness has been widely studied. However, analytical methods to calculate network controllability with respect to node removals are currently lacking. This paper develops methods, based upon generating functions for the in- and out-degree distributions, to approximate the minimum number of driver nodes...
conference paper 2023
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Wezeman, Robert S. (author), Neumann, N.M.P. (author), Phillipson, F. (author), Kooij, Robert (author)
In this paper we study encounter-based density estimation using different random walks and analyse the effects of the step-size on the convergence of the density approximation. Furthermore, we analyse different types of random walks, namely, a uniform random walk, with every position equally likely to be visited next, a classical random walk...
conference paper 2023
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Lentsch, T. (author), Xia, Z. (author), Caesar, Holger (author), Kooij, J.F.P. (author)
This work addresses cross-view camera pose estimation, i.e., determining the 3-Degrees-of-Freedom camera pose of a given ground-level image w.r.t. an aerial image of the local area. We propose SliceMatch, which consists of ground and aerial feature extractors, feature aggregators, and a pose predictor. The feature extractors extract dense...
conference paper 2023
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Xu, Ran (author), Wang, F. (author), Kooij, Robert (author)
In this paper we investigate the controller placement problem on networks using controller reachability as the network performance metric. This metric is defined as the probability that each node can reach at least one controller, given that each link is operational with a fixed probability. By exploring placements for more than 100 real-world...
conference paper 2023
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de Geus-Moussault, S.R.A. (author), Kooij, C. (author), Koelman, H.J. (author)
The digital and energy transition will change our industry. To be prepared for this challenge, NHL Stenden University of Applied Sciences puts quite some effort in developing new innovative courses and new types of digitally enabled education. An example is a new minor concentrated on engineering tools and methods that have emerged in the ...
conference paper 2022
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Xia, Z. (author), Booij, Olaf (author), Manfredi, Marco (author), Kooij, J.F.P. (author)
This work addresses visual cross-view metric localization for outdoor robotics. Given a ground-level color image and a satellite patch that contains the local surroundings, the task is to identify the location of the ground camera within the satellite patch. Related work addressed this task for range-sensors (LiDAR, Radar), but for vision,...
conference paper 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
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Hafner, Frank M. (author), Zeller, Matthias (author), Schutera, Mark (author), Abhau, Jochen (author), Kooij, J.F.P. (author)
Customization of a convolutional neural network (CNN) to a specific compute platform involves finding an optimal pareto state between computational complexity of the CNN and resulting throughput in operations per second on the compute platform. However, existing inference performance benchmarks compare complete backbones that entail many...
conference paper 2022
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Kooij, C. (author)
The research effort into unmanned and autonomous ships has increased significantly over the last decade. Although not all required technology is currently commercially available, consensus is that from a technical standpoint, unmanned shipping is possible. The next question is: is it economically feasible to operate an unmanned ship. The...
conference paper 2022
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Liu, X. (author), Achterberg, M.A. (author), Kooij, Robert (author)
pinion dynamics models study how the interaction among people influences the opinion formation process. In most opinion dynamics models, only one opinion can exist in the steady state, which is different from the real-life opinion formation process. In 2009, Shao et at. introduced a Non-Consensus Opinion (NCO) model, which allows different...
conference paper 2022
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Dhiman, Ashish (author), Sun, P. (author), Kooij, Robert (author)
This paper presents machine learning based approximations for the minimum number of driver nodes needed for structural controllability of networks under link-based random and targeted attacks. We compare our approximations with existing analytical approximations and show that our machine learning based approximations significantly outperform...
conference paper 2021
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Ungureanu, Oana-Mihaela (author), Vlădeanu, Călin (author), Kooij, Robert (author)
As the edge computing era matures, it encompasses a broader range of applications that will be able to opportunistically use both the edge and the cloud mainly determined by the location constraints or the mission-critical reasons. Moreover, the convergence of verticals with the next generation mobile network will lead to an imminent edge-cloud...
conference paper 2021
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Plebe, Alice (author), Kooij, J.F.P. (author), Pietro Rosati Papini, Gastone (author), Da Lio, Mauro (author)
This work investigates the validity of an occupancy grid mapping inspired by human cognition and the way humans visually perceive the environment. This query is motivated by the fact that, to date, no autonomous driving system reaches the performance of an ordinary human driver. The mechanisms behind human perception could provide cues on how...
conference paper 2021
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Chen, Anqi (author), Sun, P. (author), Kooij, Robert (author)
Network recoverability refers to the ability of a network to recover to a desired performance level after suffering topological perturbations such as link failures. The minimum number of driver nodes is a typical metric to denote the network controllability. In this paper, we propose closed-form analytic approximations for the minimum number of...
conference paper 2021
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Lin, Q. (author), Verwer, S.E. (author), Kooij, Robert (author), Mathur, Aditya (author)
The availability of high-quality benchmark datasets is an important prerequisite for research and education in the cyber security domain. Datasets from realistic systems offer a platform for researchers to develop and test novel models and algorithms. Such datasets also offer students opportunities for active and project-centric learning. In...
conference paper 2020
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Sun, P. (author), Van Mieghem, P.F.A. (author), Kooij, Robert (author), He, Z. (author), Van Mieghem, Piet (author)
In this paper, we propose closed-form analytic approximations for the minimum number of driver nodes needed to fully control networks, where links are removed according to both random and targeted attacks. Our approximations rely on the concept of critical links. A link is called critical if its removal increases the required number of driver...
conference paper 2019
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Wang, X. (author), Feng, Ling (author), Kooij, Robert (author), Marzo, Jose L. (author)
Network robustness plays a critical role in the proper functioning of modern society. It is common practice to use spectral metrics, to quantify the robustness of networks. In this paper we compare eight different spectral metrics that quantify network robustness. Four of the metrics are derived from the adjacency matrix, the others follow...
conference paper 2019
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Hafner, Frank M. (author), Bhuiyan, Amran (author), Kooij, J.F.P. (author), Granger, Eric (author)
Person re-identification is a key challenge for surveillance across multiple sensors. Prompted by the advent of powerful deep learning models for visual recognition, and inexpensive RGBD cameras and sensor-rich mobile robotic platforms, e.g. self-driving vehicles, we investigate the relatively unexplored problem of cross-modal re...
conference paper 2019
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Sun, S. (author), Kooij, B.J. (author), Yarovoy, Alexander (author)
In this paper, the generalized multiple measurement vectors (GMMV) linear inversion method is applied to the reconstruction of the 3-D Fresnel data, provided by the Institue Fresnel (Marseille, France). The results show that the GMMV-based method can obtain good resolution along the x- and y- axes, while poor resolution along the z-axis,...
conference paper 2019
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