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  Objective evaluation of prediction strategies for optimization-based motion cueing

Grottoli, M., Cleij, D., Pretto, P., Lemmens, Y., Happee, R., & Bülthoff, H. (2019). Objective evaluation of prediction strategies for optimization-based motion cueing. Simulation, 95(8), 707-724. doi:10.1177/0037549718815972.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0002-A90A-5 Version Permalink: http://hdl.handle.net/21.11116/0000-0004-4BCB-4
Genre: Journal Article

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 Creators:
Grottoli, M, Author
Cleij, D1, 2, Author              
Pretto, P1, 2, Author              
Lemmens, Y, Author
Happee, R, Author
Bülthoff, HH1, 2, Author              
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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 Abstract: Optimization-based motion cueing algorithms based on model predictive control have been recently implemented to reproduce the motion of a car within the limited workspace of a driving simulator. These algorithms require a reference of the future vehicle motion to compute a prediction of the system response. Assumptions regarding the future reference signals must be made in order to develop effective prediction strategies. However, it remains unclear how the prediction of future vehicle dynamics influences the quality of the motion cueing. In this study two prediction strategies are considered. Oracle: the ideal prediction strategy that knows exactly what the future reference is going to be. Constant: a prediction strategy that ignores every future change and keeps the current vehicle’s linear accelerations and angular velocities constant. The two prediction strategies are used to reproduce a sequence of maneuvers between 0 and 50 km/h. A comparative analysis is carried out to objectively evaluate the influence of the prediction strategies on motion cueing quality. Dedicated indicators of correlation, delay and absolute error are used to compare the effects of the adopted prediction on simulator motion. Also the motion cueing mechanisms adopted by the different conditions are analyzed, together with the usage of simulator workspace. While the constant strategy provided reasonable cueing quality, the results show that knowledge of the future vehicle trajectory reduces the delay and improves correlation with the reference trajectory, it allows the combined usage of different motion cueing mechanisms and increases the usage of workspace.

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 Dates: 2018-122019-08
 Publication Status: Published in print
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 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1177/0037549718815972
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Title: Simulation
Source Genre: Journal
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Publ. Info: Thousand Oaks, CA : Sage Publications
Pages: - Volume / Issue: 95 (8) Sequence Number: - Start / End Page: 707 - 724 Identifier: ISSN: 0037-5497
CoNE: https://pure.mpg.de/cone/journals/resource/954925444659_1