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.
Original language | English |
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Article number | 4687 |
Journal | Sensors |
Volume | 21 |
Issue number | 14 |
DOIs | |
Publication status | Published - 2 Jul 2021 |
Keywords
- 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