Prototype safety-critical isolation for autonomous driving systems on Neoverse

About this Learning Path

Who is this for?

This Learning Path is for automotive engineers developing safety-critical systems. You'll learn how to accelerate ISO 26262-compliant development workflows using Arm-based cloud compute, containerized simulation, and DDS-based communication.

What will you learn?

Upon completion of this Learning Path, you will be able to:

• Apply functional safety principles, including risk prevention, fault detection, and ASIL compliance, to build robust, certifiable automotive systems
• Use DDS and a publish-subscribe architecture for low-latency, scalable, and fault-tolerant communication in autonomous driving systems
• Implement distributed development by separating the simulation platform into independent, safety-isolated components

Prerequisites

Before starting, you will need the following:

• Access to two Arm-based Neoverse cloud instances, or a local Arm Neoverse Linux system with at least 16 CPUs and 32 GB of RAM
• Completion of the Deploy Open AD Kit containerized autonomous driving simulation on Arm Neoverse Learning Path
• Basic familiarity with Docker