Configurable sensor model architecture for the development of automated driving systems

Simon Schmidt*, Birgit Schlager, Stefan Muckenhuber, Rainer Stark

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Article number4687
Issue number14
Publication statusPublished - 2 Jul 2021


  • Automated driving
  • Configurable sensor model
  • Functional decomposition
  • Model reusability
  • Sensor effects
  • Sensor model architecture
  • Virtual testing

ASJC Scopus subject areas

  • Analytical Chemistry
  • Information Systems
  • Atomic and Molecular Physics, and Optics
  • Biochemistry
  • Instrumentation
  • Electrical and Electronic Engineering


Dive into the research topics of 'Configurable sensor model architecture for the development of automated driving systems'. Together they form a unique fingerprint.

Cite this