Group 1 - The core relationship between active safety and assisted driving is that both rely on similar underlying technologies to enhance user driving experience, with active safety focusing on preventing collisions regardless of who is driving [2][3] - Active safety aims to prevent accidents by providing alerts and taking control of the vehicle when necessary, while assisted driving systems follow navigation to transport users safely and efficiently [2][3] - The necessity of LiDAR in active safety is emphasized, as it significantly enhances safety by compensating for human limitations in various driving conditions [5][6] Group 2 - The active safety field has been expanding to cover high-frequency and high-risk driving scenarios over the past decade, but there are concerns about whether the current enumeration of accident scenarios is sufficient [7][8] - The complexity of real-world driving scenarios poses challenges for rule-based systems, which may struggle to account for unpredictable events [10][11] - The transition to model-based approaches in active safety could address these challenges by providing more effective responses to complex situations [15] Group 3 - The concept of "the death of active safety" is introduced, suggesting that as driving becomes safer through optimization and the advent of higher-level autonomous driving, the need for active safety may diminish [16] - Despite these challenges, the industry remains committed to improving active safety technologies, with a belief that advancements will lead to significant changes in the next few years [18] - The focus is shifting from competition to collaboration in creating a safer future, with ongoing efforts to reduce the probability and severity of accidents [18]

Core Insights - The forum held during the 2025 China Mobile Cloud Intelligence Conference focused on the theme "AI New Engine, Intelligent Innovation for the Future," highlighting the rapid maturity of motion and perception intelligence technologies [1][2] - China Mobile aims to extend its "5G+" strategy to "AI+" by building an integrated "cloud-network-intelligence" foundation to support the new economic drivers of intelligent automobiles, smartphones, and robots [2] Group 1: Technological Advancements - Motion and perception intelligence technologies are transitioning from experimental stages to production lines, becoming key drivers for high-quality economic development [2] - China Mobile is deploying over 10,000 intelligent computing clusters and developing a multi-modal general model matrix called "Nine Heavens" to support the new intelligent products [2][3] Group 2: Innovative Solutions - China Mobile introduced a welcoming and guiding robot solution that offers personalized interactions and data-driven marketing capabilities, enhancing brand operations [3] - The company also launched customized AI glasses equipped with real-time translation services covering 40 languages and recognizing 90 accents, catering to diverse business needs [3] Group 3: Collaborative Ecosystem - The forum featured discussions among industry leaders on the collaborative innovation of motion and perception intelligence, aiming to provide new ideas for cross-industry integration [3] - China Mobile emphasizes its unique advantages in infrastructure capabilities to inject new momentum into the high-quality development of the digital economy [3]