Abstract
State of the art automotive software systems presume a static configuration of electronic control units and software components. Assuming that future Driver Assistance Systems (DAS) will deploy dynamically changing software configurations, the authors propose an approach towards an adaptive software and systems architecture for DAS. The paper focuses on systems, which assist the driver while backing up truck and trailer combinations. These systems are characterized by a high degree of distribution as well as a high level of heterogeneity and changeability even at runtime. In order to meet these demands, the authors suggest the usage of service orientation combined with software agents. The functional units of these systems are encapsulated in services which are dynamically orchestrated by the agents whenever the system changes. This paper describes the ideas of this approach using a real world example. It also names and classifies the scenarios of re-configuration. The article concludes with a lookout on the future work within this project.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: International Journal of Machine Learning and Computing
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.