SEFeb 25, 2019

Microservice Architectures for Advanced Driver Assistance Systems: A Case-Study

arXiv:1902.09140v133 citations
Originality Synthesis-oriented
AI Analysis

This addresses the rising complexity in vehicle software systems for automotive developers, though it is an incremental application of existing methods to a new domain.

The paper investigated the feasibility of applying microservice architectures to a complex driver assistance system, finding that they can reduce complexity and time-consuming processes while preparing automotive software for future challenges.

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 makes the automotive software systems prepared for upcoming challenges as long as the principles of microservice architectures are carefully followed.

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