Searched for: subject%3A%22Motion%255C+cueing%22
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Beets, Simon (author)
master thesis 2023
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Eppink, J.M. (author), Kolff, M.J.C. (author), Venrooij, Joost (author), Pool, D.M. (author), Mulder, Max (author)
Due to the non-deterministic nature of longitudinal human driver behaviour, motion cueing algorithms currently cannot fully utilize the workspace of driving simulators. This paper explores the possibility of using various predictor variables to predict longitudinal driving behaviour. Through the development of a logistic regression model, it is...
conference paper 2023
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Kolff, M.J.C. (author), Venrooij, Joost (author), Pool, D.M. (author), Mulder, Max (author)
In driving simulation, the choice of a simulator, motion cueing algorithm, and associated set of tuning parameters for an experiment is typically made with an exclusive focus on the quality of the motion. In practice, many other metrics could affect this choice as well, such as tuning complexity, algorithm stability, or the financial costs of...
conference paper 2023
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Chadha, Akhil (author), Jain, V. (author), Lazcano, Andrea Michelle Rios (author), Shyrokau, B. (author)
Driving simulators have been used in the automotive industry for many years because of their ability to perform tests in a safe, reproducible and controlled immersive virtual environment. The improved performance of the simulator and its ability to recreate in-vehicle experience for the user is established through motion cueing algorithms ...
conference paper 2023
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Chadha, Akhil (author)
Driving simulators have been used in the automotive industry for many years now. They have been vastly employed for conducting tests in a safe, reproducible and controlled immersive virtual environment. The ability of the simulator to recreate the in-vehicle experience for the occupant is established through motion cueing algorithms. Such...
master thesis 2022
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van Veldhoven, Thijs (author)
This study investigates the effectiveness of vehicle dynamics and road environment data for predicting lateral accelerations and yaw rates. This prediction is used to preposition a simulator in anticipation of this motion. A prediction model was created using the road curvature at a specific look-ahead<br/>time and the current vehicle velocity....
master thesis 2022
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Kolff, M.J.C. (author), Venrooij, Joost (author), Schwienbacher, Markus (author), Pool, D.M. (author), Mulder, Max (author)
BMW’s new driving simulation center operates multiple motion-base simulators – each with a different kinematic configuration – to serve various experiment use-cases and requirements of simulator users. The selection of a simulator for each experiment should ideally be based on their relative strengths and weaknesses. To support this decision...
conference paper 2022
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Nuñez Velasco, J.P. (author)
This dissertation aims to understand the behavior of pedestrians and cyclists when interacting with automated vehicles (AVs). The role of AVs’ characteristics such as their physical appearance, whether a driver is present, the presence of external communication interfaces, and factors pertaining to the behavior of the vehicle were investigated...
doctoral thesis 2021
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Grottoli, M. (author)
Driving simulators have been extensively used over the last decades and technological advancements have propelled their development for cars, trucks and other vehicles with four (or more) wheels. This dissertation focuses on the use of driving simulators for two wheeled vehicles and in particular on the development and evaluation of a motorcycle...
doctoral thesis 2021
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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...
conference paper 2021
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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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Eppink, Jesse (author)
Potential usage of the workspace of driving simulators is restricted by a lack of knowledge on oncoming maneuvers, due to the unpredictable nature of human drivers. This research aims to explore the possibility of using information from driver inputs, dynamic vehicle states, and features of the road environment to improve motion cueing through...
master thesis 2020
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Khusro, Yash Raj (author)
Driving simulators are widely used for understanding Human-Machine Interaction, driver behavior and driver training. The effectiveness of such simulators in this process depends largely on their ability to generate realistic motion cues. Though the conventional filter-based motion cueing strategies have provided reasonable results, these methods...
master thesis 2020
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Cleij, D. (author)
Humans always wanted to go faster and higher than their own legs could carry them, leading them to invent numerous types of vehicles to move fast over land, water and air. As training how to handle such vehicles and testing new developments can be dangerous and costly, vehicle motion simulators were invented. <br/>Motion-based simulators in...
doctoral thesis 2020
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Miletović, I. (author)
Flight simulators, or Flight Simulation Training Devices (FSTDs), offer great benefits in terms of safety and cost associated with pilot training and certification. To warrant uniform certification standards and to prevent adverse pilot training, (sub)system fidelity requirements are imposed by the Federal Aviation Authority (FAA) and European...
doctoral thesis 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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Cleij, D. (author), Venrooij, J. (author), Pretto, P (author), Katliar, M. (author), Bülthoff, Heinrich H. (author), Steffen, D. (author), Hoffmeyer, F. W. (author), Schöner, H. P. (author)
This paper describes a driving simulation experiment, executed on the Daimler Driving Simulator (DDS), in which a filter-based and an optimization-based motion cueing algorithm (MCA) were compared using a newly developed motion cueing quality rating method. The goal of the comparison was to investigate whether optimization-based MCAs have,...
journal article 2019
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