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According to experiments, containerized microservices improve resource usage, lower latency, and increase modularity in software for autonomous driving.
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In order to improve modularity, scalability, and real-time performance, this study proposes a microservice-based architecture for software-defined autonomous cars that makes use of containerization. The suggested solution, which builds on the ROS 2 framework and Autoware software, separates functional modules like planning, perception, and sensing within lightweight containers that are coordinated by Docker and k3s.