Configurable Sensor Model Architecture for the Development of Automated Driving Systems

Simon Schmidt; Birgit Schlager; Stefan Muckenhuber; Rainer Stark

doi:10.3390/s21144687

Configurable Sensor Model Architecture for the Development of Automated Driving Systems

Sensors (Basel). 2021 Jul 8;21(14):4687. doi: 10.3390/s21144687.

Authors

Simon Schmidt¹, Birgit Schlager^{2

3}, Stefan Muckenhuber^{2

4}, Rainer Stark⁵

Affiliations

¹ Volkswagen AG, 38436 Wolfsburg, Germany.
² Virtual Vehicle Research GmbH, 8010 Graz, Austria.
³ Institute of Automation and Control, Graz University of Technology, 8010 Graz, Austria.
⁴ Department of Geography and Regional Science, University of Graz, 8010 Graz, Austria.
⁵ Institute of Machine-Tools and Factory Management, Department of Industrial Information Technology, Technische Universität Berlin, 10623 Berlin, Germany.

Abstract

Sensor models provide the required environmental perception information for the development and testing of automated driving systems in virtual vehicle environments. In this article, a configurable sensor model architecture is introduced. Based on methods of model-based systems engineering (MBSE) and functional decomposition, this approach supports a flexible and continuous way to use sensor models in automotive development. Modeled sensor effects, representing single-sensor properties, are combined to an overall sensor behavior. This improves reusability and enables adaptation to specific requirements of the development. Finally, a first practical application of the configurable sensor model architecture is demonstrated, using two exemplary sensor effects: the geometric field of view (FoV) and the object-dependent FoV.

Keywords: automated driving; configurable sensor model; functional decomposition; model reusability; sensor effects; sensor model architecture; virtual testing.

MeSH terms

Automobile Driving*