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Development and Evaluation of a Threshold-Based Motion Cueing Algorithm

Kraft, Edward ; He, Ping ; Rinderknecht, Stephan (2021)
Development and Evaluation of a Threshold-Based Motion Cueing Algorithm.
In: Vehicles, 3 (4)
doi: 10.3390/vehicles3040038
Article, Bibliographie

Abstract

In this paper, a motion cueing algorithm (MCA) without a frequency divider is proposed, which aims to reproduce the longitudinal reference acceleration as far as possible via tilt coordination. Using a second-order rate limit, the human perception thresholds can directly be taken into account when parameterizing the MCA. The washout is compensated by tilt coordination and means of feedback from the translational acceleration. The proposed MCA is compared with the classical washout algorithm and the compensation MCA based on selected qualitative metrics and their workspace demand. In addition, a subjective study on the evaluation of the MCA was conducted. The results show that even high washout rates are not noticeable by the test subjects. Overall, the MCA was rated as very good.

Item Type: Article
Erschienen: 2021
Creators: Kraft, Edward ; He, Ping ; Rinderknecht, Stephan
Type of entry: Bibliographie
Title: Development and Evaluation of a Threshold-Based Motion Cueing Algorithm
Language: English
Date: 2 October 2021
Publisher: MDPI
Journal or Publication Title: Vehicles
Volume of the journal: 3
Issue Number: 4
DOI: 10.3390/vehicles3040038
URL / URN: https://www.mdpi.com/2624-8921/3/4/38
Abstract:

In this paper, a motion cueing algorithm (MCA) without a frequency divider is proposed, which aims to reproduce the longitudinal reference acceleration as far as possible via tilt coordination. Using a second-order rate limit, the human perception thresholds can directly be taken into account when parameterizing the MCA. The washout is compensated by tilt coordination and means of feedback from the translational acceleration. The proposed MCA is compared with the classical washout algorithm and the compensation MCA based on selected qualitative metrics and their workspace demand. In addition, a subjective study on the evaluation of the MCA was conducted. The results show that even high washout rates are not noticeable by the test subjects. Overall, the MCA was rated as very good.

Uncontrolled Keywords: driving simulation, ideal motion cueing algorithm, compensation algorithm, longitudinal driving simulator, subjective evaluation, human perception thresholds
Additional Information:

This article belongs to the Special Issue Driver-Vehicle Automation Collaboration.

Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Institute for Mechatronic Systems in Mechanical Engineering (IMS)
Date Deposited: 09 Nov 2021 06:16
Last Modified: 09 Nov 2021 06:16
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