AUTOSAR AP and ROS 2 Collaboration Framework

Personal use of this material is permitted. Abstract--The field of autonomous vehicle research is advancing rapidly, necessitating platforms that meet real-t ime performance, safety, and security requirements for practi cal deployment. AUTOSAR Adaptive Platform (AUTOSAR AP) is widely adopted in development to meet these criteria; howev er, licensing constraints and tool implementation challenges limit its use in research. Conversely, Robot Operating System 2 (ROS 2) is predominantly used in research within the autonomous dri ving domain, leading to a disparity between research and develop ment platforms that hinders swift commercialization. This pape r proposes a collaboration framework that enables AUTOSAR AP and ROS 2 to communicate with each other using a Data Distribution Service for Real-Time Systems (DDS). The proposed framework bridges these protocol differences, ensuring seamless int eraction between the two platforms. Furthermore, the availabilit y of the proposed collaboration framework is improved by automatic ally generating a configuration file for the proposed bridge conve rter . Autonomous driving technology [1] has rapidly advanced, drawing worldwide attention and spurring significant resea rch and development efforts. This surge in activity has brought autonomous vehicles closer to widespread practical use for transporting both people and goods. As these vehicles approach commercial readiness, consumer expectations and th e landscape of automotive development are evolving. Researc h in this domain is dynamic, propelled by technological advancements and market demand. Autonomous driving systems must process data from numerous sensors and cameras in real time, necessitating high technical competence.