On-Demand: Embedded University, Part 2 of 3. Future-Proof Your Autonomous Vehicle Software Integration Framework

Aired May 14, 2020

Choosing the right architecture for highly and fully automotive driving is a bet on the future of the industry and the success of your company. Where speed to market is critical, a platform that supports rapid development, a wide variety of future use cases and massive data flows is imperative. You don’t have time to re-engineer the underlying architecture when new use cases are introduced, or performance requirements are changed. For the path forward with the lowest risk, choose an architecture framework that has been proven for the application, and can be used to interface with your ecosystem. 

In this session, we will explore how DDS has been deployed for decades in autonomy use cases and how it is being used in the AUTOSAR and ROS frameworks. You will learn how to develop an autonomous vehicle technology architecture that meets high performance requirements while ensuring the system is built for future scale. 


Bob Leigh, Senior Director of Market Development, Autonomous Vehicles, Real-Time Innovations (RTI)