The shift from distributed to centralized ECUs for Advanced Driver Assistance Systems (ADAS) marks a major milestone in the journey toward fully autonomous vehicles. This transition enables greater system efficiency, reduced latency, and improved reliability by centralizing data processing and decision-making capabilities. Driven by advancements in radar, vision, and LiDAR sensors, powerful microprocessors, and AI-driven software, centralized ECUs are set to transform autonomous vehicle design and functionality. This presentation will examine the technological breakthroughs, challenges, and roadmap for implementing centralized ADAS ECU architectures and their pivotal role in the future of autonomous driving.

In this talk, you will:

• Discover the mission and benefits of a centralized ECU approach in enhancing ADAS performance
• Understand why Apple, Google, and others are investing in connected car technology
• See how centralized ADAS ECUs are essential for future autonomous driving systems
• Learn about new business models and liability-sharing strategies in autonomous vehicle development

• What are the biggest challenges in adopting facial recognition and eye-tracking in vehicles?
• How can in-cabin sensors enhance safety and user experience while protecting privacy?
• What role will AI play in advancing real-time in-cabin sensing systems?
• How will these technologies evolve with autonomous vehicles?
• What is needed to establish industry standards for in-cabin sensing?

• What sensing modalities are most effective for detecting emotional states?  
• How can cognitive load and fatigue be reliably measured in real time?  
• What are the most promising non-safety applications of mood detection?  
• How should adaptive systems respond to emotional or cognitive changes?  
• What are the ethical boundaries of interpreting and acting on mental states?