Designing the next generation of ADAS and bringing it to market comes with many challenges. Whether you are managing architectural complexity, adopting new technology or deciding where and when to introduce advanced functionality in the vehicle, memory and storage technology will be central to those strategies. Ever since the introduction of semiconductors, electronics have played a central role in bringing new features and capabilities to automobiles. ADAS and autonomous driving is no different with memory and storage tightly tied to the evolution of features and services with a potential 300x increase in memory and storage bits moving from a low-end L2 to a high-end L2+ system. This presentation will outline how memory and storage innovations are a key enabling technology as we look around the curve and discuss next-generation automotive electronic system challenges to enable safer, greener and more intelligent vehicles. Specifically, we will explore how:

• Superior data retention capabilities in UFS solutions can drive significant manufacturing cost savings and improved QoS
• Innovative embedded functional safety capability in volatile memory (DRAM) can reduce time-to-market and risk
• Innovations in ECC management can effectively increase overall system bandwidth and memory capacity to better perform operations requiring AI like ADAS
• Next generation SSDs with configurable interfaces can impact data flow and the move to high-performance centralized ECU architectures