Abstract
The automation of vehicles, the electrification of the powertrain, as well as vehicle connectivity, and new usage concepts, are considered to be some of the major mobility trends in the future of automotive development. [1] With an increasing degree of automation, human drivers increasingly hand over the tasks for longitudinal and lateral control of the vehicle and in the long term become pure users without driving task responsibilities. Accordingly the interaction with the vehicle will change, whereby the interior represents the direct interface between humans and cars, so that the “Experiencing of the interior” is becoming much more important than before. In response to these changes, new tools are necessary to integrate users more clearly into the solution finding process for innovative upcoming products. Immersive visualization tools (e.g. based on augmented or virtual reality technology) offer a key to user-oriented product development. Using the example of a dynamically configurable autonomous vehicle, this article demonstrates the conception and application of a visualization tool. In this study, a mixed reality mock-up is develop which offers unique possibilities in the validation of new prototypes. Finally, the added value for vehicle concept development can be recognized by means of user integration during the early development stage, which is validated via subject tests in the Virtual Reality Laboratory at the Automotive Research Centre Niedersachsen (NFF).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kuhnert, F., Stürmer, C., Koster, A.: eascy – Die fünf Dimensionen der Transformation der Automobilindustrie. https://www.pwc.de/de/automobilindustrie/pwc_automotive_eascy-studie.pdf. (2017)
Mercedes-Benz: Die Zukunft der Mobilität: Die Revolution von CASE. https://www.mercedes-benz.com/de/innovation/connected/zukunftsmobilitaet-revolution-CASE/. (2021)
Lindemann, U., Reichwald, R., Zäh, M. (eds.): Individualisierte Produkte: Komplexität beherrschen, in Entwicklung und Produktion. Springer, Berlin (2006)
Krause, D., Gebhardt, N.: Methodische Entwicklung modularer Produktfamilien. Springer, Berlin (2018)
Bender, B., Gericke, K.: Pahl/Beitz Konstruktionslehre. Springer, Berlin Heidelberg (2021)
Burdea, G.C., Coiffet, P. (eds.): Virtual Reality Technology: 2nd ed. Wiley, United Kingdom (2003)
Sahin, T., Raulf, C., Kizgin, V., Huth, T., Vietor, T.: A Cross-domain System Architecture Model of Dynamically Configurable Autonomous Vehicles. In: Bargende, M., Reuss, H., Wagner, A. (eds.) 21. Internationales Stuttgarter Symposium, Automobil- und Motorentechnik, vol. 21, pp. 13–31. Springer Vieweg, Wiesbaden (2021)
Verein Deutscher Ingenieure: Simulation von Logistik-. Beuth-Verlag, Berlin, Materialfluss- und Produktionssystemen -Grundlagen (2009)
Rademacher, M.H.: Virtual Reality in der Produktentwicklung. Springer Fachmedien Wiesbaden, Wiesbaden (2014)
Milgram, P., Kishino, F.: A Taxonomy of Mixed Reality Visual Displays. In: IEICE Transactions on Information Systems, vol E77-D, No. 12, (1994)
Krause, D., Hartwich, T.S., Rennpferdt, C.: Produktentwicklung und Konstruktionstechnik. Springer, Berlin (2020)
Waßmann, H.: Systematik zur Entwicklung von Visualisierungstechniken für die visuelle Analyse fortgeschrittener mechatronischer Systeme in VR-Anwendungen. Universität Paderborn, Paderborn (2012)
Moreau, G., Fuchs, P., Stergiopoulos, P.:Applications of Virtual Reality in the manufacturing industry: from design review to ergonomic studies. Mécanique & Ind. 5(2), 171–179. https://doi.org/10.1051/meca:2004018. Cambridge University (2004)
Geissel, O.: AMMU Automotive Mixed Mock-Up: Konzeption einer neuen Entwicklungs-plattform für die Automobilindustrie. Universität Stuttgart, Stuttgart (2012)
Joshi, A., Pal, D.: Likert-Scale: Explored and Explained. Curr. J. Appl. Sci. Technol. (2015). https://doi.org/10.9734/BJAST/2015/14975
Brown, S.: Likert Scale Examples for Surveys. ANR Program Evaluation. Iowa State University, Iowa (2010)
Hartfiel, B., Stark, R.: Validity of primary driving tasks in head-mounted display-based driving simulators. In: Macredie, R., Ballin, D.: Virtual Reality 25(4), 819–833, https://doi.org/10.1007/s10055-020-00496-w. Springer (2021)
Kim, W., Lee, S., Bovik, A.: VR Sickness Versus VR Presence: A Statistical Prediction Model. IEEE Trans. Image Process. 30, 559–571. IEEE (2021)
Lim, K., Lee, J., Won, K., Kala, N., Lee, T.: A novel method for VR sickness reductions based on dynamic field of view processing. In: Macredie, R., Ballin, D. (eds.) Virtual Reality, 25(4), 331–340, https://doi.org/10.1007/s10055-020-00457-3. Springer (2020)
Bogner, A., Littig, B. & Menz, W.: Interviews mit Experten, Springer Fachmedien Wiesbaden, Wiesbaden (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature
About this paper
Cite this paper
Everding, L., Raulf, C., Klapprott, M., Vietor, T. (2022). User-Oriented Development of Autonomous Vehicles using Immersive Visualization Tools. In: Bargende, M., Reuss, HC., Wagner, A. (eds) 22. Internationales Stuttgarter Symposium. Proceedings. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-37011-4_10
Download citation
DOI: https://doi.org/10.1007/978-3-658-37011-4_10
Published:
Publisher Name: Springer Vieweg, Wiesbaden
Print ISBN: 978-3-658-37010-7
Online ISBN: 978-3-658-37011-4
eBook Packages: Computer Science and Engineering (German Language)