Optimizing an Optimization-Based MCA using Perceived Motion Incongruence Models

D. Cleij; D.M. Pool; Max Mulder; Heinrich H. Bülthoff

Optimizing an Optimization-Based MCA using Perceived Motion Incongruence Models

D. Cleij, D.M. Pool, Max Mulder, Heinrich H. Bülthoff

Control & Simulation

Research output: Contribution to conference › Paper › peer-review

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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.

Original language	English
Pages	53-60
Number of pages	8
Publication status	Published - 2020
Event	Driving Simulation Conference Europe 2020 VR - Antibes, France Duration: 9 Sept 2020 → 11 Sept 2020 Conference number: 19 https://dsc2020.org/

Conference

Conference	Driving Simulation Conference Europe 2020 VR
Abbreviated title	DSC 2020 Europe
Country/Territory	France
City	Antibes
Period	9/09/20 → 11/09/20
Internet address	https://dsc2020.org/

Keywords

Motion cueing algorithms
motion incongruence models
model predictive control
continuous ratings

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title = "Optimizing an Optimization-Based MCA using Perceived Motion Incongruence Models",

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. ",

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author = "D. Cleij and D.M. Pool and Max Mulder and B{\"u}lthoff, {Heinrich H.}",

year = "2020",

language = "English",

pages = "53--60",

note = "Driving Simulation Conference Europe 2020 VR, DSC 2020 Europe ; Conference date: 09-09-2020 Through 11-09-2020",

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TY - CONF

T1 - Optimizing an Optimization-Based MCA using Perceived Motion Incongruence Models

AU - Cleij, D.

AU - Pool, D.M.

AU - Mulder, Max

AU - Bülthoff, Heinrich H.

N1 - Conference code: 19

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Motion cueing algorithms

KW - motion incongruence models

KW - model predictive control

KW - continuous ratings

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M3 - Paper

SP - 53

EP - 60

T2 - Driving Simulation Conference Europe 2020 VR

Y2 - 9 September 2020 through 11 September 2020

ER -

Optimizing an Optimization-Based MCA using Perceived Motion Incongruence Models

Abstract

Conference

Keywords

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