据了解，车规级是指电子元件符合汽车行业特定的高标准规格，其核心目的是确保汽车电子控制系统在 复杂多变的环境中能够稳定、可靠地工作。车规级产品缺陷率需控制在百万分之一级别，设计寿命通常 为15年或20万公里或更长。 冯擎峰指出车规诞生的最本质目的"一切都是为了安全"，有了车规级的要求，就可以把车造得更加安 全。 凤凰网科技讯 11月10日，在第六届世界互联网大会乌镇咖荟 汽车夜话论坛上，莲花集团CEO冯擎峰就 行业内的"车规"标准发表了个人看法："讨论车规就是一种历史的倒退"。冯擎峰表示，中国还在讨论车 规不车规的时候，是对全体中国汽车人的一种侮辱。 冯擎峰表示，突然讨论没车规也可以上车，非常难以理解，"（汽车行业）发展了140年突然倒退了。" ...

Core Viewpoint - The future of Robotaxi is heavily reliant on the ongoing evolution of perception hardware, particularly the advancements in LiDAR technology, which are crucial for achieving large-scale commercial deployment of autonomous driving solutions [1][5]. Group 1: Historical Context and Development - The DARPA Grand Challenge from 2004 to 2007 served as a pivotal moment for the development of autonomous driving, inspiring teams and entrepreneurs to create the Robotaxi industry [3][6]. - The introduction of LiDAR technology during the DARPA challenges marked a significant turning point, evolving from a novelty to a necessary component for autonomous vehicles [5][14]. - The success of the 2005 challenge, where Stanford's team utilized LiDAR, catalyzed the shift of companies like Ibeo and Velodyne towards automotive applications, solidifying the relationship between LiDAR and Robotaxi [8][19]. Group 2: Technological Advancements - The transition from L2 to L4 autonomous driving systems necessitates a high level of reliability and precision in perception systems, with LiDAR providing significant advantages over traditional camera-based systems [10][12]. - LiDAR's ability to actively sense the environment through point cloud data allows for more accurate 3D reconstruction and reduces the risk of missed detections compared to passive camera systems [12][14]. - The evolution of LiDAR technology has led to a competitive landscape where companies that can deliver high-performance, low-cost, and reliable LiDAR solutions will gain a significant advantage in the Robotaxi market [5][34]. Group 3: Market Dynamics and Future Outlook - The cost of LiDAR has historically been a barrier to the commercial viability of Robotaxi, but recent advancements have led to significant reductions in costs, making Robotaxi more competitive with traditional ride-hailing services [21][32]. - The year 2025 is projected to be a turning point for Robotaxi commercialization, with expectations of rapid fleet expansion and the potential for widespread adoption [32][50]. - Companies that prioritize the development of next-generation digital LiDAR technologies are likely to establish a competitive edge in the evolving landscape of autonomous driving and Robotaxi services [40][51].