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  Perception-based motion cueing: validation in driving simulation

Venrooij, J., Pretto, P., Katliar, M., Nooij, S., Nesti, A., Lächele, M., et al. (2015). Perception-based motion cueing: validation in driving simulation. In H. H. Bülthoff, A. Kemeny, & P. Pretto (Eds.), DSC 2015 Europe: Driving Simulation Conference & Exhibition (pp. 153-161). Tübingen, Germany: Max Planck Institute for Biological Cybernetics.

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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-002A-44C9-8 Versions-Permalink: https://hdl.handle.net/21.11116/0000-0006-AA8B-E
Genre: Konferenzbeitrag

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externe Referenz:
http://dsc2015.tuebingen.mpg.de/Program.html (Verlagsversion)
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 Urheber:
Venrooij, J1, 2, Autor           
Pretto, P1, 2, Autor           
Katliar, M1, 2, Autor           
Nooij, SAE1, 2, Autor           
Nesti, A1, 2, Autor           
Lächele, M1, 2, Autor           
de Winkel, KN1, 2, Autor           
Cleij, D1, 2, Autor           
Bülthoff, HH1, 2, Autor           
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Zusammenfassung: This paper describes a perception-based motion cueing (PBMC) algorithm, which aims to bridge the gap between what is known about human self-motion perception and what is currently used in motion simulation. In PBMC, motion perception knowledge is explicitly incorporated by means of a perception model and a cost function. PBMC has the potential of improving the realism of the motion simulation by exploiting the limitations and ambiguities of human self-motion perception and increasing the utilization of the simulator envelope, while reducing the need for parameter tuning. The PBMC algorithm was compared to a classical filter-based approach in an experimental study. To allow for a robust and reliable comparison, an evaluation method for motion cueing algorithms (MCAs) based on psychophysical techniques was developed. Results show that the PBMC approach received significantly higher ratings than the filter-based approach. This demonstrates the potential of the PBMC approach to improve motion cueing in vehicle simulation.

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 Datum: 2015-09
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: BibTex Citekey: VenrooijPKNNLdCB2015
 Art des Abschluß: -

Veranstaltung

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Titel: DSC 2015 Europe: Driving Simulation Conference Exhibition
Veranstaltungsort: Tübingen, Germany
Start-/Enddatum: 2015-09-16 - 2015-09-18

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Quelle 1

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Titel: DSC 2015 Europe: Driving Simulation Conference & Exhibition
Genre der Quelle: Konferenzband
 Urheber:
Bülthoff, Heinrich H1, Herausgeber           
Kemeny, A., Herausgeber
Pretto, Paolo1, Herausgeber           
Affiliations:
1 Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797            
Ort, Verlag, Ausgabe: Tübingen, Germany : Max Planck Institute for Biological Cybernetics
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 153 - 161 Identifikator: ISBN: 978-3-9813099-3-5