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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/8325

Title: Driving simulator motion cueing algorithms – a survey of the state of the art
Authors: Garrett, Nikhil J.I.
Best, Matt C.
Keywords: Driving simulator
State of the art
Issue Date: 2010
Publisher: © Loughborough University / Society of Automotive Engineers of Japan (JSAE)
Citation: GARRETT, N.J.I. and BEST, M.C., 2010. Driving simulator motion cueing algorithms – a survey of the state of the art. IN: Proceedings of the 10th International Symposium on Advanced Vehicle Control (AVEC), Loughborough, UK, 22nd-26th August, pp. 183-188.
Abstract: This paper reviews the state-of-the-art motion cueing algorithms for motion-based driving simulators. The motion cueing problem is presented, together with the main published algorithms – classical washout filtering, adaptive filtering, linear optimal control, and model predictive control (MPC). Implementation details for each of the algorithms are given and their response to various manoeuvres plotted. The algorithms all have a high-pass response apart from the MPC algorithm, which reproduces vehicle motion for as long as possible before returning to centre. The cost function-based algorithms require more parameters to be tuned, but the parameters have more relevance to the simulator operator and are thus easier to tune. Finally, proposals for an algorithm evaluation study with human test drivers are given, the results of which will be used in future work to develop a new driving simulator cueing algorithm.
Description: This is a conference paper.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/8325
ISBN: 9780904947656
Appears in Collections:Conference Papers and Presentations (Aeronautical and Automotive Engineering)

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