Authors:
Maurice Kolff, Joost Venrooij, Markus Schwienbacher, Daan M. Pool, Max Mulder
Keywords:
motion cueing, quality comparison, urban simulations
Abstract:
Kolff M.; Venrooij J.; Schwienbacher M.; Pool D.M. and Mulder M. Quality Comparison of Motion Cueing Algorithms for Urban Driving Simulations In: Proceedings of the Driving Simulation Conference 2021 Europe VR, Driving Simulation Association, Munich, Germany, 2021, pp. 141-148
Download .txt file
@inproceedings{Kolff2021,
title = {Quality Comparison of Motion Cueing Algorithms for Urban Driving Simulations},
author = {Maurice Kolff and Joost Venrooij and Markus Schwienbacher and Daan M. Pool and Max Mulder},
editor = {Andras Kemeny and Jean-Rémy Chardonnet and Florent Colombet},
year = {2021},
date = {2021-09-14},
booktitle = {Proceedings of the Driving Simulation Conference 2021 Europe VR},
pages = {141-148},
address = {Munich, Germany},
organization = {Driving Simulation Association},
abstract = {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 quality. This paper describes a data collection experiment on a nine degree-of-freedom motion-base simulator, in which participants are asked to continuously rate the motion cueing quality during a pre-recorded drive through an urban environment. Three benchmark MCAs are compared: a Model-Predictive Control (MPC) algorithm with infinite prediction horizon, a Classical Washout Algorithm (CWA) tuned for the use-case, and the same algorithm (CWA), but with the tilt-coordination channels turned off. By comparing ratings for the whole scenario, as well as ratings for each maneuver individually, the results show a preference of the presence of tilt-coordination, as well as a preference for the optimization-based MPC algorithm over the CWA condition. The collected data will be used directly for modeling and predicting motion cueing quality for future experiments at BMW, such that the best-suited MCA and parameter setting can be selected before experiments.},
keywords = {motion cueing, quality comparison, urban simulations},
}
Download .bib file
TY - CONF
TI - Quality Comparison of Motion Cueing Algorithms for Urban Driving Simulations
AU - Kolff, Maurice
AU - Venrooij, Joost
AU - Schwienbacher, Markus
AU - Pool, Daan M.
AU - Mulder, Max
C1 - Munich, Germany
C3 - Proceedings of the Driving Simulation Conference 2021 Europe VR
DA - 2021/09/14
PY - 2021
SP - 141
EP - 148
LA - en-US
PB - Driving Simulation Association
L2 - https://proceedings.driving-simulation.org/proceeding/dsc-2021/quality-comparison-of-motion-cueing-algorithms-for-urban-driving-simulations
ER -
Download .ris file
Cite this article
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:
- Personal Use Only:
The scientific paper provided on this website is solely for personal, educational, and non-commercial use. You may download and use the paper for your own reference and research purposes only.
- No Reproduction or Distribution:
You may not reproduce, distribute, transmit, publish, or otherwise make the paper available to any third party in any form, whether for commercial or non-commercial purposes, without the express written consent of the Driving Simulation Association.
- 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.
- No Modification:
You may not modify, alter, or adapt the content of the scientific paper in any way.
- 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.