Linaro/96 Boards: Innovation in Autonomous Driving powered by Open Source Heterogeneous Computing Platform

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• Yang Zhang - Director, 96Boards, Linaro. Co-Founder and Board of Director, Autoware Foundation
• Tuesday 26 January 2021, 13:05-13:55
• Online.

If you have a question about this talk, please contact Ben Karniely.

As software defined vehicles become a reality, various censoring technology, AI algorithms have become a normal for a vehicle which is expected to be equipped with different levels of intelligence. We focus on the computing platform which is used to implement such technology and argue the only way to achieve cost-effective, power-efficient autonomous driving systems is to embrace heterogeneous computing architecture we are now seeing from various silicon implementations.

Instead of close-door engineering, we demonstrate through open collaboration and collective engineering across different tiers in the ecosystem, we are able to accelerate the development of technology required for autonomous systems. We showcase how open standards can enable silicon vendors, Tier 1 system integrators and OEMs fast prototyping their PoC projects with a clear path for production.

We also argue standard interface is required and beneficial for various heterogeneous computing platforms to best protect the investment at the application level of such systems. This is particular true for generic features such as safety, redundancy deployed in various E/E architecture.

Through 96Boards Automotive, Autoware Foundation and their partners, we demonstrate how a real world autonomous driving system is built using heterogeneous SoCs, low cost and high power efficient system design with open source full stack software equipped with a clear path to functional safety production system.

Students, researchers, and entrepreneurs can take advantage of the open source and open standard, to innovate in the core of the technology challenge presented to us in the autonomous driving domain.

This talk is part of the Technical Talks - Department of Computer Science and Technology series.

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