Automotive Autonomy: Comfort & Safety Redefined

Unlocking Next-Gen Mobility with Level 2+++ Comfort and Level 4/5 Safety


Explore scalable automotive autonomy solutions in this webinar for OEMs and Tier 1 suppliers. Learn how Level 2+++ systems maximize driver comfort and Level 4/5 architectures deliver robust safety, plus strategies for optimizing compute, PPA, and model updates to shape future mobility and profitability.

The automotive industry is at a pivotal crossroads. As SAE Level 3 automation faces mounting economic, technical, and safety challenges, the market is shifting toward two scalable solutions: Level 2+++ driver easing for mass-market comfort and fail-operational Level 4/5 full autonomy for defined domains.

The rise of these high levels of autonomy has significantly increased the complexity of software and hardware systems and subsystems, presenting new challenges for automakers. This webinar, designed for Automotive OEMs and Tier 1 suppliers, explores how these distinct pathways will shape the next decade of mobility and profitability.

Join us to discover why Level 2+++ delivers maximum real-world driver comfort and functional value without legal complexity or system and sensor overload—and how Level 4/5 architectures enable true driverless operation with robust fail-operational safety. Learn how to optimize Power, Performance, and Area (PPA) in compute design, build in headroom for continuous software evolution, and leverage three-year modelcare cycles to keep vehicles competitive. We’ll also discuss the critical role of reference designs in scaling ADAS and autonomy safely and efficiently.

Why You Should Attend:

• Why Level 3 is a dead-end—and the compelling case for Level 2+++ and Level 4/5 
• How Level 2+++ systems maximize driver comfort and minimize workload 
• The engineering imperatives for PPA optimization, compute headroom, and safe scaling 
• Strategies for fail-operational Level 4/5 autonomy in fleets, robotaxis, and premium vehicles 
• How to implement a three-year Model update for sustained competitiveness 
• The value of reference designs in rapid, safe program iteration