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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
Artikel, Bibliographie

Kurzbeschreibung (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.

Typ des Eintrags: Artikel
Erschienen: 2021
Autor(en): Kraft, Edward ; He, Ping ; Rinderknecht, Stephan
Art des Eintrags: Bibliographie
Titel: Development and Evaluation of a Threshold-Based Motion Cueing Algorithm
Sprache: Englisch
Publikationsjahr: 2 Oktober 2021
Verlag: MDPI
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Vehicles
Jahrgang/Volume einer Zeitschrift: 3
(Heft-)Nummer: 4
DOI: 10.3390/vehicles3040038
URL / URN: https://www.mdpi.com/2624-8921/3/4/38
Kurzbeschreibung (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.

Freie Schlagworte: driving simulation, ideal motion cueing algorithm, compensation algorithm, longitudinal driving simulator, subjective evaluation, human perception thresholds
Zusätzliche Informationen:

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

Fachbereich(e)/-gebiet(e): 16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Institut für Mechatronische Systeme im Maschinenbau (IMS)
Hinterlegungsdatum: 09 Nov 2021 06:16
Letzte Änderung: 09 Nov 2021 06:16
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