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Adaptive washout algorithm based fuzzy tuning for improving human perception

Version 2 2024-06-04, 07:07
Version 1 2015-03-16, 15:40
chapter
posted on 2024-06-04, 07:07 authored by Houshyar AsadiHoushyar Asadi, A Mohammadi, Shady MohamedShady Mohamed, DR Zadeh, S Nahavandi
The aim of this paper is to provide a washout filter that can accurately produce vehicle motions in the simulator platform at high fidelity, within the simulators physical limitations. This is to present the driver with a realistic virtual driving experience to minimize the human sensation error between the real driving and simulated driving situation. To successfully achieve this goal, an adaptive washout filter based on fuzzy logic online tuning is proposed to overcome the shortcomings of fixed parameters, lack of human perception and conservative motion features in the classical washout filters. The cutoff frequencies of highpass, low-pass filters are tuned according to the displacement information of platform, workspace limitation and human sensation in real time based on fuzzy logic system. The fuzzy based scaling method is proposed to let the platform uses the workspace whenever is far from its margins. The proposed motion cueing algorithm is implemented in MATLAB/Simulink software packages and provided results show the capability of this method due to its better performance, improved human sensation and exploiting the platform more efficiently without reaching the motion limitation.

History

Volume

8836

Chapter number

59

Pagination

483-492

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783319126425

Language

eng

Publication classification

B Book chapter, B1 Book chapter

Copyright notice

2014, Springer

Extent

83

Editor/Contributor(s)

Loo CK, Yap KS, Wong KW, Teoh A, Huang K

Publisher

Springer

Place of publication

Berlin, Germany

Title of book

Neural information processing : 21st International Conference ICONIP 2014 Kuching, Malaysia, November 3-6, 2014 Proceedings, Part III

Series

Lecture Notes in Computer Science