Optimizing an Optimization-Based MCA using Perceived Motion Incongruence Models
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.
Cite this article
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
@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},
}
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 -
A Driving Simulation Association membership is required in order to download the papers.