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.
Highlights
Automated and autonomous vehicles are an important future topic in automotive industry and politics
The configurable sensor model architecture presented in the present work is designed to support sensor-type dependent as well as sensor-type independent models
A continuous, flexible, and requirement-oriented use of sensor models must be enabled in the systems development process (SDP) of automated driving systems to extract perception information from the virtual vehicle environment
Summary
Automated and autonomous vehicles are an important future topic in automotive industry and politics. Sensor models provide the required perceptual information in order to assess the system behavior of the automated driving system in the overall vehicle, which behaves to that in subsequent real-world operation. These must, for example, be consistent with additional information from other vehicle systems. This article presents an approach that uses a configurable sensor model architecture to provide perception information. The configurable sensor model architecture presented in the present work is designed to support sensor-type dependent as well as sensor-type independent models This is necessary because the perception technology in the SDP is not always fixed from the beginning.
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call