Empower Autonomous Driving with Cloud Native Serverless Technologies


Authors:   Benjamin Huo, Xiuming Lu


Cloud-native service technologies can empower autonomous driving, and a cloud-agnostic, fast platform is necessary for efficient development and scalability.
  • Autonomous driving relies heavily on artificial intelligence algorithms and data, making a cloud-agnostic platform necessary for data privacy and development flexibility.
  • The complexity of autonomous driving requires a fast platform with automatic scaling and efficient error handling.
  • Open-source cloud-native technologies like Keta can provide the necessary features for a cloud-agnostic, fast platform.
  • Efficient observability mechanisms and a robust system are crucial for troubleshooting and safety requirements.
  • Package management and an easy-to-use interface wrapper can make the platform more powerful and user-friendly.
  • An active and efficient maintenance team is necessary for the stability and prosperity of the community and product development.
Autonomous driving involves a series of AI technologies, such as environmental perception, pedestrian avoidance, and multi-vehicle cooperation. The amount of data generated by these technologies is far beyond the reach of traditional IoT devices, and the streaming analysis of large amounts of data requires a platform with great scalability. Additionally, the logic of data processing changes frequently based on rapid-changing industry requirements, different weather conditions, and business models, requiring a fast and flexible platform for efficient development.


For an Autonomous-Driving platform, the complex use cases and numerous modules pose huge challenges to the entire architecture. Take data-archiving as an example, large amounts of time-sensitive data are generated in the vehicle and cloud every second, scattered in various devices and clusters. Challenges like multi-types of storage media, non-uniform data size, mixed asynchronous operations, steep resource overhead curves all prompt for a more flexible, elastic, and cost-saving architecture. In this talk, UISEE developers and OpenFunction maintainers will talk about: - Why does Autonomous-Driving need a modern FaaS platform powered by Dapr, Keda, and Knative? - Cloud Native FaaS Platform OpenFunction Intro. - Why is an asynchronous function a good fit for Autonomous-Driving? - How does UISEE use the Asynchronous functions in Autonomous-Driving? - The benefits that a modern FaaS platform brings to Autonomous-Driving. - OpenFunction updates & roadmap.Click here to view captioning/translation in the MeetingPlay platform!


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