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Kolff, Maurice (author), Venrooij, J. (author), Schwienbacher, Markus (author), Pool, D.M. (author), Mulder, Max (author)
When designing driving simulation experiments with motion cueing, it is often necessary to make choices between Motion Cueing Algorithms (MCAs) without being fully able to know how well an MCA will perform during the experiment. Choices between MCAs can therefore be greatly supported by previous measurements or predictions of motion cueing...
journal article 2021
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Scaramuzzino, Paolo Francesco (author), Pavel, M.D. (author), Pool, D.M. (author), Stroosma, O. (author), Mulder, Max (author), Quaranta, Giuseppe (author)
This paper analyzes the effects of the helicopter dynamics on pilots’ learning process and transfer of learned skills during autorotation training. A quasi-transfer-of-training experiment was performed with 14 experienced helicopter pilots in a moving-base flight simulator. Two types of helicopter dynamics, characterized by a different...
journal article 2021
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Pool, E.A.I. (author), Kooij, J.F.P. (author), Gavrila, D. (author)
This paper compares two models for context-based path prediction of objects with switching dynamics: a Dynamic Bayesian Network (DBN) and a Recurrent Neural Network (RNN). These models are instances of two larger model categories, distinguished by whether expert knowledge is explicitly crafted into the state representation (and thus is...
journal article 2021
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Khoshnewiszadeh, Arwin (author), Pool, D.M. (author)
Biodynamic feedthrough (BDFT) is a key issue for touchscreen operations on the future flight deck, as cockpit accelerations due to turbulence leave pilots vulnerable to erroneous touches that disrupt task performance. This research focuses on the implementation of a software-based cancellation approach to mitigate the adverse effects of BDFT...
journal article 2021
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Irmak, T. (author), de Winkel, K.N. (author), Pool, D.M. (author), Bülthoff, Heinrich H. (author), Happee, R. (author)
Previous literature suggests a relationship between individual characteristics of motion perception and the peak frequency of motion sickness sensitivity. Here, we used well-established paradigms to relate motion perception and motion sickness on an individual level. We recruited 23 participants to complete a two-part experiment. In the first...
journal article 2021
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van der El, Kasper (author), Pool, D.M. (author), van Paassen, M.M. (author), Mulder, Max (author)
The 1960s crossover model is widely applied to quantitatively predict a human controller's (HC's) manual control behavior. Unfortunately, the theory captures only compensatory tracking behavior and, as such, a limited range of real-world manual control tasks. This article finalizes recent advances in manual control theory toward more general...
journal article 2020
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van der Ploeg, J.R. (author), Cleij, D. (author), Pool, D.M. (author), Mulder, Max (author), Bülthoff, Heinrich H. (author)
Despite gaining popularity, the use of Motion Cueing Algorithms (MCAs) based on Model Predictive Control (MPC) remains challenging due to the required tuning of a large number of cost function parameters. This paper investigates the effects of two critical MPC cost function parameters, the lateral specific force and roll rate error weights (Way...
conference paper 2020
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Kolff, M.J.C. (author), Venrooij, J. (author), Pool, D.M. (author), Mulder, Max (author)
Motion cueing algorithm design often involves a trade-off between priorities due to the limited workspace of the simulator. Such a trade-off requires a detailed understanding of human perception, which we do not yet have. For that reason, objective motion cueing quality metrics, based on the difference between vehicle and simulator signals,...
conference paper 2020
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Cleij, D. (author), Pool, D.M. (author), Mulder, Max (author), Bülthoff, Heinrich H. (author)
In this paper the potential of Motion Incongruence Rating (MIR) models for the optimization of Motion Cueing Algorithms (MCAs) is investigated. In a human-in-the-loop simulator experiment, two optimization-based MCAs are compared for a roundabout scenario simulated on a medium-stroke hexapod simulator. The first MCA uses standard cueing error...
conference paper 2020
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Hogerbrug, M. (author), Venrooij, J. (author), Pool, D.M. (author), Mulder, Max (author)
A necessity in driving simulation testing is to understand and attenuate simulator sickness, to reduce the number of undesired drop-outs. Especially urban environments, with its many turns and changes in the velocity profile, are a challenge. This paper describes the motion sickness rating results of a between-subjects experiment (n = 63), which...
conference paper 2020
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Irmak, T. (author), Pool, D.M. (author), Happee, R. (author)
We investigated and modeled the temporal evolution of motion sickness in a highly dynamic sickening drive. Slalom maneuvers were performed in a passenger vehicle, resulting in lateral accelerations of 0.4 g at 0.2 Hz, to which participants were subjected as passengers for up to 30 min. Subjective motion sickness was recorded throughout the...
journal article 2020
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Wijlens, R. (author), Zaal, P.M.T. (author), Pool, D.M. (author)
This paper presents the results of a training and retention experiment conducted to objectively and quantitatively evaluate the acquisition, decay, and retention of skill-based manual control behavior in a compensatory dual-axis roll and pitch attitude tracking task. In this study, thirty-eight fully task-naive participants were trained in a...
conference paper 2020
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Kemna, Maarten (author), Pool, D.M. (author), Wentink, Mark (author), Mulder, Max (author)
Numerous critical manual teleoperation tasks, such the control of the refueling boom during aerial refueling, require human controllers to accurately manipulate objects in the depth dimension, i.e., aligned with the viewing direction. To better understand the intricacies of depth control tasks and to be able to better support human controllers...
conference paper 2020
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van der El, Kasper (author), Pool, D.M. (author), Mulder, Max (author)
Drivers rely on a variety of cues from different modalities while steering, but which exact cues are most important and how these different cues are used is still mostly unclear. The goal of our research project is to increase understanding of driver steering behavior; through a measuring and modeling approach we aim to extend the validity of...
journal article 2019
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van Leeuwen, T. D. (author), Cleij, D. (author), Pool, D.M. (author), Mulder, Max (author), Bülthoff, H. H. (author)
In motion simulation, motion input scaling is often applied to deal with the limited motion envelopes of motion simulators. In this research, the time-varying effects of scaling the lateral specific force up or down during passive curve driving in a car driving simulation are investigated through a simulator experiment. It is concluded that...
journal article 2019
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Irmak, T. (author), Pool, D.M. (author), Happee, R. (author)
Background: Motion sickness (MS) as an area of scientific inquiry has mostly seen experimental work. A range of models attempt to predict MS, but have not been validated for a broad selection of sickening motion stimuli. By doing so this study aims to identify models that lead to better sickness predictions. Lastly, the study will also elaborate...
abstract 2019
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Kooij, J.F.P. (author), Flohr, F.B. (author), Pool, E.A.I. (author), Gavrila, D. (author)
Anticipating future situations from streaming sensor data is a key perception challenge for mobile robotics and automated vehicles. We address the problem of predicting the path of objects with multiple dynamic modes. The dynamics of such targets can be described by a Switching Linear Dynamical System (SLDS). However, predictions from this...
journal article 2019
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Ferranti, L. (author), Ferreira de Brito, B.F. (author), Pool, E.A.I. (author), Zheng, Y. (author), Ensing, R.M. (author), Happee, R. (author), Shyrokau, B. (author), Kooij, J.F.P. (author), Alonso-Mora, J. (author), Gavrila, D. (author)
This paper presents our research platform SafeVRU for the interaction of self-driving vehicles with Vulnerable Road Users (VRUs, i.e., pedestrians and cyclists). The paper details the design (implemented with a modular structure within ROS) of the full stack of vehicle localization, environment perception, motion planning, and control, with...
conference paper 2019
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Pool, E.A.I. (author), Kooij, J.F.P. (author), Gavrila, D. (author)
This paper proposes a Recurrent Neural Network (RNN) for cyclist path prediction to learn the effect of contextual cues on the behavior directly in an end- to-end approach, removing the need for any annotations. The proposed RNN incorporates three distinct contextual cues: one related to actions of the cyclist, one related to the location of the...
conference paper 2019
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Fasiello, Simone (author), Lu, T. (author), Pool, D.M. (author), van Paassen, M.M. (author)
This paper presents the results of a human-in-the-loop experiment performed to investigate the effects of variations in aircraft short-period mode characteristics on human operators’ manual control behavior. In the experiment, 15 participants performed a tracking task for a factorial variation in both short-period mode natural frequency (five...
conference paper 2019
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