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ADAS/AD is the technology challenge of our time because it employs technologies and methods that have never been part of a vehicle with an added complexity of being both distributed and mobile. ADAS/AD also requires a level of infrastructure that seamlessly communicates and cooperates with each AV to provide each passenger the safest possible driving experience.
With new autonomous functionality comes new sensor types and new In-Car (or In-Vehicle) architectures that require a novel use of AI algorithms inside a vehicle. The AD movement is producing a massive increase in compute and storage requirements, defining new workflows, and revolutionizing the automotive industry by redefining transportation norms and paving the way for a future of safer, more efficient mobility. Coupled with vehicle electrification, the automotive industry is free to rearchitect a long-overdue In-Vehicle architecture that is consolidating the number of ECUs and making them more functional. This new architecture is laying the groundwork for the Software Defined Vehicle (SDV).
This new In-Vehicle architecture is having profound effects on how we create, develop, verify, validate, and update AI models inside the data center.
This document outlines Dell's efforts to enable the advancement of the SDV and ADAS/AD technologies. This advancement is achieved by supporting an AI-based automotive pipeline, showcasing Dell hardware and software offerings along with integrated partner solutions that seamlessly complement our technology ecosystem. As shown in the following figure, DARA is strategically focused on the data center—an area where the convergence of HPC, AI, data management, and simulation expertise is essential for realizing the transformative outcomes that our customers require.
Figure 1. Simplified end-to-end ADAS/AD AI pipeline