A Comparison of ROS 2 and AUTOSAR Adaptive Platform Against Industry-Elicited Automotive Middleware Requirements
Lucas Hegerath, David Philipp Klüner, Philipp Pelcz, Viswanatha Reddy Batchu, Marius Molz + 4 more
TLDR
This paper compares ROS 2 and AUTOSAR Adaptive Platform against industry-elicited requirements for automotive middleware.
Key contributions
- Compares ROS 2 Jazzy and AUTOSAR Adaptive Platform R24-11 middleware frameworks.
- Evaluates frameworks against practical requirements from ZF Group automotive engineers.
- Offers industrial perspective on middleware for software-defined vehicles.
- Clarifies priorities for automotive middleware development and evaluation.
Why it matters
Automotive middleware is crucial for software-defined vehicles. This comparison provides valuable, hard-to-obtain industrial insights into how leading frameworks meet real-world needs, guiding future development and selection.
Original 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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