Methodical Approach to Integrate Human Movement Diversity in Real-Time into a Virtual Test Field for Highly Automated Vehicle Systems
- 1 CAD CAM Center Cologne, Institute of Automotive Engineering Cologne (IFK), Faculty of Automotive Systems and Production, Cologne University of Applied Sciences, Cologne, Germany
- 2 CAD CAM Center Cologne, Institute of Automotive Engineering Cologne (IFK), Faculty of Automotive Systems and Production, Cologne University of Applied Sciences, Cologne, Germany
- 3 Division of Electricity, Department of Electrical Engineering, Uppsala University, Uppsala, Sweden
- 4 Division of Electricity, Department of Electrical Engineering, Uppsala University, Uppsala, Sweden
- 5 HHVISION GbR, Cologne, Germany
- 6 Advanced Solution Lab, AVL Deutschland GmbH, Karlsruhe, Germany
- 7 Division of Electricity, Department of Electrical Engineering, Uppsala University, Uppsala, Sweden
- 8 CAD CAM Center Cologne, Institute of Automotive Engineering Cologne (IFK), Faculty of Automotive Systems and Production, Cologne University of Applied Sciences, Cologne, Germany
Abstract
Recently, virtual realities and simulations play important roles in the development of automated driving functionalities. By an appropriate abstraction, they help to design, investigate and communicate real traffic scenario complexity. Especially, for edge cases investigations of interactions between vulnerable road users (VRU) and highly automated driving functions, valid virtual models are essential for the quality of results. The aim of this study is to measure, process and integrate real human movement behaviour into a virtual test environment for highly automated vehicle functionalities. The overall system consists of a georeferenced virtual city model and a vehicle dynamics model, including probabilistic sensor descriptions. By motion capture hardware, real humanoid behaviour is applied to a virtual human avatar in the test environment. Through retargeting methods, which enable the independency of avatar and person under test (PuT) dimensions, the virtual avatar diversity is increased. To verify the biomechanical behaviour of the virtual avatars, a qualitative study is performed, which funds on a representative movement sequence. The results confirm the functionality of the used methodology and enable PuT independence control of the virtual avatars in real-time.
- Statista (2020) Anteil der PKW mit Fahrassistenzsystemen in Deutschland. https://de.statista.com/statistik/daten/studie/1083873/umfrage/anteil-der-pkw-mit-fahrassistenzsystemen-in-deutschland/
- Statista (2020) Meinungsumfrage zu Assistenzsystemen in Autos in Deutschland. https://de.statista.com/statistik/daten/studie/1108736/umfrage/meinungsumfrage-zu-assistenzsystemen-in-autos-in-deutschland/
- Wachenfeld, W. and Winner, H. (2015) Die Freigabe des autonomen Fahrens. In: Maurer, M., Gerdes, J.Ch., Lenz, B. and Winner, H., Eds., Autonomes Fahren, Springer Vieweg, Berlin, Heidelberg, 439-464. https://doi.org/10.1007/978-3-662-45854-9_21
- Brissard, A. and Schyr, C. (2016) DrivingCube—A Novel Concept for Validation of Powertrain and Steering Systems with Automated Driving. Proceedings of the 13th International Symposium on Advanced Vehicle Control (AVEC’ 16), Munich, 13-16 September 2016.
- Gadringer, M.E., Schreiber, H., Gruber, A., Vorderderfler, M., Amschl, D., Bosch, W., Metzner, S., Pflugl, H. and Paulweber, M. (2018) Virtual Reality for Automotive Radars. Elektrotechnik & Informationstechnik, 135, 335-343. https://doi.org/10.1007/s00502-018-0620-9
- Al-Saidi, O., Muller, S., Zech, A. and Schyr, C. (2018) Bewertung und Analyse von Fahrzeugregelsystemen im fahrdynamischen Grenzbereich mit einem Vehicle-in-the- Loop Prufstand in: SIMVEC—Simulation und Erprobung in der Fahrzeugentwicklung, Seite 495-510.
- Weiskopf, M., Wohlfahrt, C. and Schmidt, A. (2015) Absicherung eines radarsensors im systemverbund mit der hardware-in-the-loop testtechnologie. In Klenk, H., Keller, H.B., Plodereder, E. and Dencker, P. (Eds.), Automotive—Safety & Security 2014. Gesellschaft fur Informatik e.V., Bonn.
- Degen, R., Ott, H., Overath, F., Klein, F., Hennrich, M., Schyr, Ch., Leijon, M. and Ruschitzka, M. (2021) Virtual Urban Traffic Infrastructure for Testing Highly Automated Mobility Systems. In: Krieger, J., Ed., Fachkongress Digitale Transformation im Lebenszyklus der Verkehrsinfrastruktur, Esslingen, 317-330.
- Degen, R., Ott, H., Overath, F., Schyr, C., Leijon, M. and Ruschitzka, M. (2021) Methodical Approach to the Development of a Radar Sensor Model for the Detection of Urban Traffic Participants Using a Virtual Reality Engine. Journal of Transportation Technologies, 11, 179-195. https://doi.org/10.4236/jtts.2021.112012
- Degen, R., Ott, H., Overath, F., Klein, F., Schyr. C., Leijon, M. and Ruschitzka, M. (2021) Integration of Driving Physical Properties into the Development of a Virtual Test Field for Highly Automated Vehicle Systems. NAFEMS World Congress 2021, Salzburg, 25-29 October 2021, 2-20.