A Safety-Certified Vehicle OS to Enable Software-Defined Vehicles

Becker, Jan; Sagar, Mehul; Pangercic, Dejan

doi:10.1007/978-3-658-34754-3_5

Cited by 6 publications

(1 citation statement)

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“…These innovations demonstrate the potential of ROS1 to move beyond its limitations and progress industrially. For instance, Apex successfully developed a high-safety solution that met the requirements of the ASIL-D level of the functional safety standard for electrical and/or electronic systems (ISO 26262) based on ROS2 [13,14]. This trend has led various ROS1 autonomous driving projects to transition to ROS2; Autoware [15] is a prominent example of this trend.…”

Section: Introductionmentioning

confidence: 99%

Autonomous Driving System Architecture with Integrated ROS2 and Adaptive AUTOSAR

Hong,

Moon

2024

Electronics

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In the automotive industry, research is now underway to apply Adaptive Automotive Open System Architecture (AUTOSAR) to the development of next-generation mobility, such as autonomous driving and connected cars. However, research on autonomous driving is being predominantly conducted on the robotics platform ROS2 (Robot Operating System 2). This demonstrates a considerable distance between autonomous driving research and its application in actual vehicles. To bridge this gap, interoperability that leverages the strengths of the Adaptive AUTOSAR and ROS2 platforms and compensates for their weaknesses is required. Therefore, this study proposes an architecture for interoperability between the two platforms, named Autonomous Driving System with Integrated ROS2 and Adaptive AUTOSAR (ASIRA). The proposed architecture enables communication between each of the two platforms through the ROS2 SOME/IP Bridge and allows for the necessary data exchange. It validates them in autonomous driving scenarios and goes beyond vehicle development, testing, and prototyping to exploit the advantages of each platform. Additionally, the simulation of autonomous vehicles within the ASIRA architecture is demonstrated by interoperating the ROS2 representative open-source autonomous driving project, Autoware, with the Adaptive AUTOSAR simulator. This study contributes to the assimilation of ROS2 into the automotive industry and its application in real vehicles by linking ROS2 and Adaptive AUTOSAR.

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Section: Introductionmentioning

confidence: 99%