Core Insights - The automotive industry in China is entering the second half of intelligent transformation, with advanced driver-assistance systems (ADAS) becoming a key battleground [1] - The previous approach of maximizing features with minimal hardware has revealed limitations, leading to performance bottlenecks and user trust erosion [2][3] - A shift is needed from a focus on cost-effectiveness to prioritizing safety and system performance as the foundation for user experience [4][5] Group 1: Safety and Performance - Safety is now a prerequisite for ADAS, not just an added benefit, marking a new phase in the industry [4][5] - The introduction of national standards for ADAS safety requirements indicates a regulatory shift towards compliance rather than innovation [7][8] - High-performance computing and redundancy in models and decision-making are becoming industry consensus for ensuring safety and reliability [9][10][12] Group 2: System Integration and Cost - Achieving scalable deployment of ADAS requires a balance of safety, performance, and cost [15][16] - The industry is moving towards a "triangle" framework that integrates safety systems, high-performance support, and cost efficiency [16][17][18] - The need for high bandwidth and efficient data transmission is critical, as merely increasing computing power is insufficient to overcome system bottlenecks [23][24] Group 3: Advanced Models and Real-World Application - The integration of large models is essential for enhancing the system's ability to understand complex driving scenarios [24][25][28] - The evolution of ADAS is transitioning from a focus on functionality to a focus on safety, where the ability to handle extreme scenarios is paramount [29][30] - The ultimate goal is to create a trustworthy and continuously evolving ADAS platform that prioritizes user safety and experience [28][33]