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
Download .txt file
@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 -
Download .ris file
Cite this article
Copyright by the authors.
Licensee Driving Simulation Association.
Terms and Conditions for Downloading Driving Simulation Proceedings papers:
By downloading a scientific paper from proceedings.driving-simulation.org, you agree to the following terms and conditions:
- Copyright and Ownership:
The scientific paper is protected by copyright laws and is the intellectual property of the respective authors and publishers. All rights not expressly granted herein are reserved.
- Citation and Attribution:
If you use the scientific paper for research, presentations, or any other non-commercial purposes, you must provide appropriate citation and attribution to the original authors as per academic standards.
- Creative Commons:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
- Disclaimer:
The Driving Simulation Association makes no representations or warranties regarding the accuracy, completeness, or suitability of the scientific paper for any particular purpose. The paper is provided as-is, without any warranties, express or implied. The Driving Simulation Association reserves the right to terminate or restrict access to the scientific paper at any time and without notice.