AI赋能自动驾驶 L4会加速到来吗？

Core Viewpoint - The rapid development of artificial intelligence, particularly large model technology, is accelerating the path towards high-level autonomous driving (L4), marking a significant transformation in the automotive industry [1][2]. Group 1: Industry Trends - The integration of AI into smart connected vehicles is creating a new wave of innovation, leading to the emergence of new business models and transforming the automotive sector through automation in driving, intelligent cockpits, and overall process intelligence [1]. - The proportion of assisted driving mileage in certain models has exceeded one-third, and daily usage time of AI-enabled cockpit features is over 1.9 hours, indicating a shift from vehicles as mere transportation to interactive smart mobile spaces [1]. Group 2: Challenges in Autonomous Driving - Achieving high-level autonomous driving faces challenges, including the unclear mechanisms behind human driving behavior and the difficulty in ensuring consistent decision-making across different drivers in similar scenarios [1][2]. - Designing autonomous driving systems for mixed traffic conditions presents significant challenges, such as risk assessment, performance validation, and meeting diverse passenger needs [2]. Group 3: Future Outlook - Despite rapid advancements in AI technology, current autonomous driving systems cannot yet surpass human safety levels in all conditions, suggesting a prolonged coexistence of human drivers and robots [2]. - The potential of large model technology to drive progress in autonomous driving is recognized, with core safety metrics improving significantly over the past two years, indicating a trend towards gradual deployment of L4 RoboTaxi services [2]. - The complexity of real-world scenarios emphasizes the need for L4 systems to possess strong generalization and localization capabilities, which will require time to develop [2].