Authors:
Robert Jacumet, Sebastian Wagner, Markus Schwienbacher, Dirk Wollherr, Marion Leibold
Keywords:
motion cueing algorithms, driving simulation, motion perception, model predictive control
Abstract:
Jacumet R.; Wagner S.; Schwienbacher M.; Wollherr D. and Leibold M. Sequential Motion Cueing Algorithms: Using the Best Algorithm in each Situation In: Proceedings of the Driving Simulation Conference 2024 Europe VR, Driving Simulation Association, Strasbourg, France, 2024, pp. 111-117
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@inproceedings{Jacumet2024,
title = {Sequential Motion Cueing Algorithms: Using the Best Algorithm in each Situation},
author = {Robert Jacumet and Sebastian Wagner and Markus Schwienbacher and Dirk Wollherr and Marion Leibold},
editor = {Andras Kemeny and Jean-Rémy Chardonnet and Florent Colombet and Stéphane Espié},
isbn = {978-2-9573777-5-6},
year = {2024},
date = {2024-09-18},
booktitle = {Proceedings of the Driving Simulation Conference 2024 Europe VR},
pages = {111-117},
address = {Strasbourg, France},
organization = {Driving Simulation Association},
abstract = {Motion Cueing Algorithms (MCAs) aim to create realistic motion experiences in driving simulators. To this end, a range of MCAs exists with each algorithm having its own advantages and disadvantages. Hence, different MCAs perform best in different situations. In this work, we propose methodology for sequentially switching between MCAs at simulation runtime with the goal of allowing the best motion cueing in each situation. To cope with the challenge of switching, a model predictive control (MPC) formulation is suggested, which controls the simulator and vehicle to the required states of the next MCA. Criteria on when to switch MCAs are defined. By deriving general formulations, switching between any of the existing MCAs is possible. A representative switching scenario between two different MCA types is analyzed, showing the effectiveness of the proposed methodology. The achieved switching potentially increases realism, while promising more flexibility in simulator studies.},
keywords = {},
}
Download .bib file
TY - CONF
TI - Sequential Motion Cueing Algorithms: Using the Best Algorithm in each Situation
AU - Jacumet, Robert
AU - Wagner, Sebastian
AU - Schwienbacher, Markus
AU - Wollherr, Dirk
AU - Leibold, Marion
C1 - Strasbourg, France
C3 - Proceedings of the Driving Simulation Conference 2024 Europe VR
DA - 2024/09/18
PY - 2024
SP - 111
EP - 117
LA - en-US
PB - Driving Simulation Association
SN - 978-2-9573777-5-6
L2 - https://proceedings.driving-simulation.org/proceeding/dsc-2024/sequential-motion-cueing-algorithms-using-the-best-algorithm-in-each-situation
ER -
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