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Comparison between filter- and optimization-based motion cueing algorithms for driving simulation

Journal Article (2019)
Author(s)

D. Cleij (TU Delft - Aerospace Engineering, Max Planck Institute for Biological Cybernetics)

J. Venrooij (TU Delft - Aerospace Engineering, Max Planck Institute for Biological Cybernetics)

P Pretto (Max Planck Institute for Biological Cybernetics)

M. Katliar (Max Planck Institute for Biological Cybernetics)

Heinrich H. Bülthoff (Max Planck Institute for Biological Cybernetics)

D. Steffen (Daimler AG)

F. W. Hoffmeyer (Daimler AG)

H. P. Schöner (Daimler AG)

Research Group
Control & Simulation
DOI related publication
https://doi.org/10.1016/j.trf.2017.04.005 Final published version
More Info
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Publication Year
2019
Language
English
Research Group
Control & Simulation
Volume number
61
Pages (from-to)
53-68
Downloads counter
392
Collections
Institutional Repository
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Abstract

This paper describes a driving simulation experiment, executed on the Daimler Driving Simulator (DDS), in which a filter-based and an optimization-based motion cueing algorithm (MCA) were compared using a newly developed motion cueing quality rating method. The goal of the comparison was to investigate whether optimization-based MCAs have, compared to filter-based approaches, the potential to improve the quality of motion simulations. The paper describes the two algorithms, discusses their strengths and weaknesses and describes the experimental methods and results. The MCAs were compared in an experiment where 18 participants rated the perceived motion mismatch, i.e., the perceived mismatch between the motion felt in the simulator and the motion one would expect from a drive in a real car. The results show that the quality of the motion cueing was rated better for the optimization-based MCA than for the filter-based MCA, indicating that there exists a potential to improve the quality of the motion simulation with optimization-based methods. Furthermore, it was shown that the rating method provides reliable and repeatable results within and between participants, which further establishes the utility of the method.