Authors:
Diane Cleij, Daan M. Pool, Max Mulder, Heinrich H. Bülthoff
Keywords:
motion cueing algorithms, motion incongruence models, model predictive control, continuous rating
Abstract:
In this paper the potential of Motion Incongruence Rating (MIR) models for the optimization of Motion Cueing Algorithms (MCAs) is investigated. In a human-in-the-loop simulator experiment, two optimization-based MCAs are compared for a roundabout scenario simulated on a medium-stroke hexapod simulator. The first MCA uses standard cueing error weights from reference literature in its cost function, while for the second case these weights were based on a MIR model fitted to previous experiment data. Results show that such models provide a promising cueing error weight estimation method for optimization-based MCAs, but also highlight the limitations of these models due to, for example, their dependency on the richness of the datasets to which they are fitted.
Cleij D.; Pool D.M.; Mulder M. and Bülthoff H.H. Optimizing an Optimization-Based MCA using Perceived Motion Incongruence Models In: Proceedings of the Driving Simulation Conference 2020 Europe VR, Driving Simulation Association, Antibes, France, 2020, pp. 53-60
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@inproceedings{Cleij2020,
title = {Optimizing an Optimization-Based MCA using Perceived Motion Incongruence Models},
author = {Diane Cleij and Daan M. Pool and Max Mulder and Heinrich H. Bülthoff},
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},
journal = {Proceedings of the Driving Simulation Conference 2020 Europe VR},
pages = {53-60},
address = {Antibes, France},
organization = {Driving Simulation Association},
abstract = {In this paper the potential of Motion Incongruence Rating (MIR) models for the optimization of Motion Cueing Algorithms (MCAs) is investigated. In a human-in-the-loop simulator experiment, two optimization-based MCAs are compared for a roundabout scenario simulated on a medium-stroke hexapod simulator. The first MCA uses standard cueing error weights from reference literature in its cost function, while for the second case these weights were based on a MIR model fitted to previous experiment data. Results show that such models provide a promising cueing error weight estimation method for optimization-based MCAs, but also highlight the limitations of these models due to, for example, their dependency on the richness of the datasets to which they are fitted.},
keywords = {continuous ratings, model predictive control, motion cueing algorithms, motion incongruence models},
}
Download .bib file
TY - CONF
TI - Optimizing an Optimization-Based MCA using Perceived Motion Incongruence Models
AU - Cleij, Diane
AU - Pool, Daan M.
AU - Mulder, Max
AU - Bülthoff, Heinrich H.
C1 - Antibes, France
C3 - Proceedings of the Driving Simulation Conference 2020 Europe VR
DA - 2020/09/09
PY - 2020
SP - 53
EP - 60
LA - en-US
PB - Driving Simulation Association
L2 - https://proceedings.driving-simulation.org/proceeding/dsc-2020/optimizing-an-optimization-based-mca-using-perceived-motion-incongruence-models
ER -
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