Jing Ji Guan Cha Bao·2025-04-27 14:37Core Insights - The collaboration between CheLianTianXia, Qualcomm, BAIC Group, and ZhuoYu Technology aims to develop integrated cockpit and driving assistance solutions for vehicles priced below 200,000 yuan, indicating a significant market opportunity [1][2] Group 1: Product Development - CheLianTianXia showcased the AL-A1 cockpit and driving assistance integration product at the Shanghai Auto Show, which is based on the Qualcomm QAM8775P chip and is expected to enter mass production by Q4 2025 [1] - The integrated cockpit project aligns with future trends in cross-domain integration and central computing architectures, offering a cost-effective solution for vehicles priced under 200,000 yuan [2] Group 2: Market Strategy - BAIC Group plans to implement the integrated cockpit and driving assistance in its vehicles, aiming to lead the industry with its platform-based approach that covers L2 ADAS to urban NOA functionalities [2] - The first batch of Robotaxi vehicles, the Extreme Fox Alpha T5, is set to launch this year, with 120 units to accelerate the mass production of L4 autonomous driving technology [2] Group 3: Technology and Innovation - ZhuoYu Technology's integration solution utilizes a single SoC to support various advanced driving assistance features, achieving approximately 30% cost reduction compared to separate systems [3] - The core technology includes an inertial dual-eye perception system that offers a low-cost alternative to traditional LiDAR, with a point cloud density ten times that of standard LiDAR [3] Group 4: Chip Technology - Qualcomm's Snapdragon 8775 chip, launched in January 2023, provides a dense computing capability of 96 TOPS, supporting both digital cockpit and ADAS functionalities [3][4] - The chip is optimized for scalable performance, allowing automakers to choose suitable performance levels for different vehicle tiers, thus enhancing user experience with immersive graphics and audio [4] Group 5: Industry Perspective - The automotive industry is currently facing a disconnect between smart cockpits and driving assistance systems, with many companies using multiple chips for integration, which is seen as insufficient [4] - The ultimate goal is to achieve complete integration of hardware and software, allowing for a centralized computing architecture that enhances user feedback and perception during vehicle operation [4]