A Comparison of ROS 2 and AUTOSAR Adaptive Platform Against Industry-Elicited Automotive Middleware Requirements
Lucas Hegerath, David Philipp Kl\"uner, Philipp Pelcz, Viswanatha Reddy Batchu, Marius Molz, Julius Kahle, Thomas Schulik, Stefan Kowalewski, Alexandru Kampmann
TL;DR
This paper compares ROS 2 Jazzy and AUTOSAR Adaptive Platform R24-11 to industry requirements, providing insights into their suitability for automotive middleware in software-defined vehicles.
Contribution
It offers an industrial perspective on the performance of two popular automotive middleware frameworks against real-world requirements.
Findings
Highlights differences in middleware capabilities based on industry needs
Provides insights into middleware priorities for automotive applications
Supports better evaluation of middleware options for automotive software
Abstract
In software-defined vehicles, automotive middleware plays a fundamental role in enabling efficient communication, integration, and coordination among software components. This paper examines how well two of the currently most popular middleware frameworks, ROS 2 Jazzy and AUTOSAR Adaptive Platform R24-11, meet practical requirements elicited from automotive software engineers at one of the major automotive supplier companies, ZF Group. Our objective is to provide insight into an otherwise difficult-to-obtain industrial perspective and support a clearer understanding of priorities in the development and evaluation of middleware for automotive applications.
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