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- Onencan, A.M. (author), Enserink, B. (author), Kortmann, Rens (author), Thissen, W.A.H. (author) abstract 2015
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- book 2021
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Meyer, Han (author)We need to tell a new story about urbanizing delta regions. Historically, large-scale ‘iconic’ hydraulic works and modern industrial ports have been celebrated as showing the power of humans to control and subject nature. The emphasis on this part of cultural heritage tends to bury the remains of engineering and urban development of the previous...book chapter 2020
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Biljecki, F. (author), Ledoux, H. (author), Stoter, J. (author)This paper describes the analysis of the propagation of positional uncertainty in 3D city models to the uncertainty in the computation of their volumes. Current work related to error propagation in GIS is limited to 2D data and 2D GIS operations, especially of rasters. In this research we have (1) developed two engines, one that generates random...conference paper 2014
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Brocal, Francisco (author), González-Gaya, G. (author), Sebastián, Miguel A. (author), Reniers, G.L.L.M.E. (author), Paltrinieri, Nicola (author)As a result of the important and rapid technological advances in industrial processes, in recent years the scientific interest in the field of occupational health and safety (OH&S) is increasing. This scenario of continuous change generates both new opportunities and new challenges in the workplace. This circumstance allows eliminating or...conference paper 2019
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Tran, N.B. (author), Van Der Kwast, Johannes (author), Mul, Marloes (author), Seyoum, S.D. (author), Uijlenhoet, R. (author), Jewitt, G.P.W. (author)Evapotranspiration (ET), a key variable in both water and energy cycles. It is very challenging to measure or estimate in large regions. Among many approaches to estimate ET indirectly (e.g. through hydrological modelling), models that are based on satellite remote sensing data (RS) are increasingly being used. However, the RS-based models...conference paper 2022
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Irnich, Jakob (author), van der Wal, C.N. (author), Duives, D.C. (author), Auping, Willem L. (author)Different leader-follower behaviors may be observed in models, such as group gathering, backtracking, and changing between groups. However, a comparison of these behaviors resulting in possible substantially different estimates of optimal evacuation procedures is lacking. Hence, we developed an agent-based model in combination with exploratory...conference paper 2023
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Aydin, N.Y. (author), Krishnan, S. (author), Yu, H. (author), Comes, M. (author)Cities are complex socio-technical systems (STSs) under tremendous stress due to climate change. To incorporate resilience into urban plans and move towards evidence-based long-term decision-making, we must unravel complex land-use dynamics and the effect of climate uncertainties on cities. Currently, land-use dynamics are explored through...conference paper 2022
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Schwarting, Wilko (author), Alonso-Mora, J. (author), Pauli, Liam (author), Karaman, Sertac (author), Rus, Daniela (author)Current state-of-the-art vehicle safety systems, such as assistive braking or automatic lane following, are still only able to help in relatively simple driving situations. We introduce a Parallel Autonomy shared-control framework that produces safe trajectories based on human inputs even in much more complex driving scenarios, such as those...conference paper 2017
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Lodel, M. (author), Ferreira de Brito, B.F. (author), Serra Gomez, A. (author), Ferranti, L. (author), Babuska, R. (author), Alonso-Mora, J. (author)Search missions require motion planning and navigation methods for information gathering that continuously replan based on new observations of the robot's surroundings. Current methods for information gathering, such as Monte Carlo Tree Search, are capable of reasoning over long horizons, but they are computationally expensive. An alternative...conference paper 2022
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Blom, H.A.P. (author), Bakker, GJ (author)Effective collaboration between planning controller, tactical controller and pilots in handling various uncertainties and hazards is the result of decades of evolutionary development. The forthcoming paradigm shift to Trajectory Based Operations (TBO) requires a similarly effective collaboration between the TBO layer and a tactical layer....conference paper 2017
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Abrishami, S. (author), Khakzad, N. (author), van Gelder, P.H.A.J.M. (author), Hosseini, Seyed Mahmoud (author)Success Likelihood Index Model (SLIM) is one of the widely-used methods in human reliability assessment especially when data is insufficient. However, this method suffers from uncertainty as it heavily relies on expert judgment for determining the model parameters such as the rates and weights of the performance shaping factors. The present...conference paper 2019
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Philipsen, R.M. (author), de Weerdt, M.M. (author), De Vries, Laurens (author)Large controllable loads, such as electric vehicles, are increasingly penetrating electricity distribution feeders. To avoid local congestion, their consumption behaviour must be steered, for which a real-time price propagated down from the transmission system does not suffice, as it does not reflect local grid conditions. To efficiently steer...conference paper 2016
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Exbrayat, J. F. (author), Breuer, L. (author), Viney, N. R. (author), Seibert, J. (author), Wrede, S. (author), Frede, H. G. (author)Model predictions of biogeochemical fluxes on the landscape scale are highly uncertain, both with respect to stochastic (parameter) and structural uncertainty. The idea of our ensemble modelling approach is to reduce the predictive uncertainty by covering part of the parameter and model structural uncertainty. In this study 4 different models...conference paper 2009
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Chatterjee, Sarthak (author), Gonçalves Melo Pequito, S.D. (author)Discrete-time fractional-order dynamical systems (DT-FODS) have found innumerable applications in the context of modeling spatiotemporal behaviors associated with long-term memory. Applications include neurophysiological signals such as electroencephalogram (EEG) and electrocorticogram (ECoG). Although learning the spatiotemporal parameters of...conference paper 2022
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Zwaginga, J.J. (author), Pruyn, J.F.J. (author)The maritime energy transition presents deep uncertainties that are difficult to deal with in the current ship design process. Even though other fields have stressed using adaptive strategies and explorative methods to deal with deep uncertainty, it is rarely included in ship design. Therefore, this paper compares three applicable methods to...conference paper 2022
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Li, Peng (author), Liu, Di (author), Xia, Xin (author), Baldi, S. (author)The operation of Unmanned Aerial Vehicles (UAVs) is often subject to state-dependent alterations and unstructured uncertainty factors, such as unmodelled dynamics, environmental weather disturbances, aerodynamics gradients, or changes in inertia and mass due to payloads. While a large number of autopilot solutions have been proposed to operate...conference paper 2022
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Wilde, N. (author), Alonso-Mora, J. (author)In this paper we study the multi-robot task assignment problem with tasks that appear online and need to be serviced within a fixed time window in an uncertain environment. For example, when deployed in dynamic, human-centered environments, the team of robots may not have perfect information about the environment. Parts of the environment may...conference paper 2022
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Chaouach, L. (author), Boskos, D. (author), Oomen, T.A.E. (author)Ambiguity sets of probability distributions are a prominent tool to hedge against distributional uncertainty in stochastic optimization. The aim of this paper is to build tight Wasserstein ambiguity sets for data-driven optimization problems. The method exploits independence between the distribution components to introduce structure in the...conference paper 2022
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Boskos, D. (author), Cortes, Jorge (author), Martinez Sandez, S. (author)This paper introduces a spectral parameterization of ambiguity sets to hedge against distributional uncertainty in stochastic optimization problems. We build an ambiguity set of probability densities around a histogram estimator, which is constructed by independent samples from the unknown distribution. The densities in the ambiguity set are...conference paper 2022