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Driving simulator motion cueing algorithms – a survey of the state of the art
conference contribution
posted on 2011-04-27, 13:20 authored by Nikhil J.I. Garrett, Matt BestMatt BestThis 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.
History
School
- Aeronautical, Automotive, Chemical and Materials Engineering
Department
- Aeronautical and Automotive Engineering
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.Publisher
© Loughborough University / Society of Automotive Engineers of Japan (JSAE)Version
- AM (Accepted Manuscript)
Publication date
2010Notes
This is a conference paper.ISBN
9780904947656;0904947653Language
- en