Rapid Tuning of the Classical Motion Cueing Algorithm

@inproceedings{Romano2017,
title = {Rapid Tuning of the Classical Motion Cueing Algorithm},
author = {Richard Romano and Ehsan Sadraei and Gustav Markkula},
editor = {Andras Kemeny and Florent Colombet and Frédéric Merienne and Stéphane Espié},
issn = {0769-0266},
year  = {2017},
date = {2017-09-06},
booktitle = {Proceedings of the Driving Simulation Conference 2017 Europe VR},
pages = {89-92},
address = {Stuttgart, Germany},
organization = {Driving Simulation Association},
abstract = {Numerous non-linear Motion Cueing Algorithms (MCA) have been proposed and developed over the years. However, researchers quite often return to using the Classical Algorithm as a baseline case to compare against their algorithm or as a method to yield consistent phase and gain cues. The current paper presents an updated layout of the Classical Algorithm for ground vehicles that supports rapid parameter optimisation. A simple automated optimisation method is developed. The Classical Algorithm is first tuned and compared with an MPC algorithm and then with a set of objective performance parameters.},
keywords = {driving simulation, motion cueing},
}

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TY  - CONF
TI  - Rapid Tuning of the Classical Motion Cueing Algorithm
AU  - Romano, Richard
AU  - Sadraei, Ehsan
AU  - Markkula, Gustav
C1  - Stuttgart, Germany
C3  - Proceedings of the Driving Simulation Conference 2017 Europe VR
DA  - 2017/09/06
PY  - 2017
SP  - 89
EP  - 92
LA  - en-US
PB  - Driving Simulation Association
SN  - 0769-0266
L2  - https://proceedings.driving-simulation.org/proceeding/dsc-2017/rapid-tuning-of-the-classical-motion-cueing-algorithm
ER  - 

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