Microservice Architectures for Advanced Driver Assistance Systems: A Case-Study
Paper in proceeding, 2019

The technological advancements of recent years have steadily increased the complexity of vehicle-internal software systems, and the ongoing development towards autonomous driving will further aggravate this situation. This is leading to a level of complexity that is pushing the limits of existing vehicle software architectures and system designs. By changing the software structure to a service-based architecture, companies in other domains successfully managed the rising complexity and created a more agile and future-oriented development process. This paper presents a case-study investigating the feasibility and possible effects of changing the software architecture for a complex driver assistance function to a microservice architecture. The complete procedure is described, starting with the description of the software-environment and the corresponding requirements, followed by the implementation, and the final testing. In addition, this paper provides a high-level evaluation of the microservice architecture for the automotive use-case. The results show that microservice architectures can reduce complexity and time-consuming process steps and make the automotive software systems prepared for upcoming challenges as long as the principles of microservice architectures are carefully followed.

Advanced Driver Assistance

Software Architecture

Automotive

Microservices

Author

Jannik Lotz

Technische Universität Berlin

Andreas Vogelsang

Technische Universität Berlin

Ola Benderius

Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Engineering and Autonomous Systems

Christian Berger

University of Gothenburg

Proceedings - 2019 IEEE International Conference on Software Architecture - Companion, ICSA-C 2019

45-52 8712376
978-172811876-5 (ISBN)

2019 IEEE International Conference on Software Architecture - Companion, ICSA-C 2019
Hamburg, Germany,

Subject Categories

Software Engineering

Information Science

Embedded Systems

DOI

10.1109/ICSA-C.2019.00016

More information

Latest update

8/20/2019