Authors:
Zhou Fang, Martin Soyer, Naoya Machida, Youichi Isono, Didier Wautier, Andras Kemeny
Keywords:
filter based MCA, MPC based MCA, motion cueing, objective criteria, MCA tuning
Abstract:
The MCA (Motion Cueing Algorithm) plays an important role in the motion rendering of the driving simulation. To evaluate the performance of the MCA, a special professional driver was solicited to experience a scenario with high lateral dynamics. The driver who is very familiar with the driving simulator, as well as the test car and the test road, has very sensitive motion perceptions and very low tilt thresholds. This makes it very difficult for the design and tuning of the MCA to achieve a very realistic rendering of dynamic motion within the limits of the simulator workspace. In this paper, the performance of two different motion cueing algorithms have been compared: MPC (Model Predictive Control) based MCA and the filter + MPC based MCA. The problem of motion phases and driving simulator’s delay, which can significantly affect the evaluation score of a professional driver, are dealt with together. After a thorough analysis based on the results of the professional driver’s evaluation and the recorded signals, numerical tuning methods and some objective criteria are proposed to guide the setting of MCA parameters in the future.
Fang Z.; Soyer M.; Machida N.; Isono Y.; Wautier D. and Kemeny A. Motion cueing algorithms and objective criteria investigation for reproducing high lateral dynamic motion perception in driving simulator In: Proceedings of the Driving Simulation Conference 2020 Europe VR, Driving Simulation Association, Antibes, France, 2020, pp. 101-108
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@inproceedings{Fang2020,
title = {Motion cueing algorithms and objective criteria investigation for reproducing high lateral dynamic motion perception in driving simulator},
author = {Zhou Fang and Martin Soyer and Naoya Machida and Youichi Isono and Didier Wautier and Andras Kemeny},
editor = {Andras Kemeny and Jean-Rémy Chardonnet and Florent Colombet},
year = {2020},
date = {2020-09-09},
booktitle = {Proceedings of the Driving Simulation Conference 2020 Europe VR},
pages = {101-108},
address = {Antibes, France},
organization = {Driving Simulation Association},
abstract = {the MCA (Motion Cueing Algorithm) plays an important role in the motion rendering of the driving simulation. To evaluate the performance of the MCA, a special professional driver was solicited to experience a scenario with high lateral dynamics. The driver who is very familiar with the driving simulator, as well as the test car and the test road, has very sensitive motion perceptions and very low tilt thresholds. This makes it very difficult for the design and tuning of the MCA to achieve a very realistic rendering of dynamic motion within the limits of the simulator workspace. In this paper, the performance of two different motion cueing algorithms have been compared: MPC (Model Predictive Control) based MCA and the filter + MPC based MCA. The problem of motion phases and driving simulator’s delay, which can significantly affect the evaluation score of a professional driver, are dealt with together. After a thorough analysis based on the results of the professional driver’s evaluation and the recorded signals, numerical tuning methods and some objective criteria are proposed to guide the setting of MCA parameters in the future.},
keywords = {filter based MCA, MCA tuning, motion cueing, MPC based MCA, objective criteria},
}
Download .bib file
TY - CONF
TI - Motion cueing algorithms and objective criteria investigation for reproducing high lateral dynamic motion perception in driving simulator
AU - Fang, Zhou
AU - Soyer, Martin
AU - Machida, Naoya
AU - Isono, Youichi
AU - Wautier, Didier
AU - Kemeny, Andras
C1 - Antibes, France
C3 - Proceedings of the Driving Simulation Conference 2020 Europe VR
DA - 2020/09/09
PY - 2020
SP - 101
EP - 108
LA - en-US
PB - Driving Simulation Association
L2 - https://proceedings.driving-simulation.org/proceeding/dsc-2020/motion-cueing-algorithms-and-objective-criteria-investigation-for-reproducing-high-lateral-dynamic-motion-perception-in-driving-simulator
ER -
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