Authors:
Felix Ellensohn, Dimitar Hristakiev, Markus Schwienbacher, Joost Venrooij, Daniel Rixen
Keywords:
motion cueing algorithms, optimization, continuous rating
Abstract:
In the current work, we propose a closed-loop, global optimization scheme that is able to find an optimal motion for a 9-degrees of freedom driving simulator. The proposed MCA makes an active drive possible. The paper describes methods to decrease the computation time for solving the global optimization scheme. In a driving simulation experiment with 30 participants the motion cueing quality is measured using the continuous rating method. The proposed MCA is compared to a closed-loop, state-of-the-art MCA and an open-loop MCA, providing an optimal trajectory of the motion system for the considered manoeuvre. The ratings are checked for validity and reliability using an additional post-hoc rating method. Ratings of the open-loop MCA exhibit the highest motion cueing quality, reason for which those results are taken as an upper benchmark. Comparing both online capable MCAs, the proposed MCA shows less perceived motion incongruencies compared to the state-of-the-art MCA. The gap in motion cueing quality between the proposed MCA and the open-loop MCA indicates the further potential of the evaluated MCA, which mainly consists in a varying time horizon and prediction strategy.
Ellensohn F.; Hristakiev D.; Schwienbacher M.; Venrooij J. and Rixen D. Evaluation of an Optimization Based Motion Cueing Algorithm Suitable for Online Application In: Proceedings of the Driving Simulation Conference 2019 Europe VR, Driving Simulation Association, Strasbourg, France, 2019, pp. 93-100
Download .txt file
@inproceedings{Ellensohn2019,
title = {Evaluation of an Optimization Based Motion Cueing Algorithm Suitable for Online Application},
author = {Felix Ellensohn and Dimitar Hristakiev and Markus Schwienbacher and Joost Venrooij and Daniel Rixen},
editor = {Andras Kemeny and Florent Colombet and Frédéric Merienne and Stéphane Espié},
isbn = {978-2-85782-749-8},
year = {2019},
date = {2019-09-04},
booktitle = {Proceedings of the Driving Simulation Conference 2019 Europe VR},
pages = {93-100},
address = {Strasbourg, France},
organization = {Driving Simulation Association},
abstract = {In the current work, we propose a closed-loop, global optimization scheme that is able to find an optimal motion for a 9-degrees of freedom driving simulator. The proposed MCA makes an active drive possible. The paper describes methods to decrease the computation time for solving the global optimization scheme. In a driving simulation experiment with 30 participants the motion cueing quality is measured using the continuous rating method. The proposed MCA is compared to a closed-loop, state-of-the-art MCA and an open-loop MCA, providing an optimal trajectory of the motion system for the considered manoeuvre. The ratings are checked for validity and reliability using an additional post-hoc rating method. Ratings of the open-loop MCA exhibit the highest motion cueing quality, reason for which those results are taken as an upper benchmark. Comparing both online capable MCAs, the proposed MCA shows less perceived motion incongruencies compared to the state-of-the-art MCA. The gap in motion cueing quality between the proposed MCA and the open-loop MCA indicates the further potential of the evaluated MCA, which mainly consists in a varying time horizon and prediction strategy.},
keywords = {continuous rating, motion cueing algorithms, optimization},
}
Download .bib file
TY - CONF
TI - Evaluation of an Optimization Based Motion Cueing Algorithm Suitable for Online Application
AU - Ellensohn, Felix
AU - Hristakiev, Dimitar
AU - Schwienbacher, Markus
AU - Venrooij, Joost
AU - Rixen, Daniel
C1 - Strasbourg, France
C3 - Proceedings of the Driving Simulation Conference 2019 Europe VR
DA - 2019/09/04
PY - 2019
SP - 93
EP - 100
LA - en-US
PB - Driving Simulation Association
SN - 978-2-85782-749-8
L2 - https://proceedings.driving-simulation.org/proceeding/dsc-2019/evaluation-of-an-optimization-based-motion-cueing-algorithm-suitable-for-online-application
ER -
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