Core Viewpoint - The discussion around "automotive standards" is seen as a regression for the industry, according to the CEO of Lianhua Group, Feng Qingfeng [1] Group 1: Industry Standards - The essence of automotive standards is to ensure safety, allowing for the production of safer vehicles [1] - The sudden debate on the absence of automotive standards is viewed as perplexing, suggesting a backward step in an industry that has developed for 140 years [1] Group 2: Technical Specifications - Automotive-grade components must meet high standards to ensure stable and reliable operation of electronic control systems in complex environments [1] - The defect rate for automotive-grade products must be controlled at a level of one in a million, with a design lifespan typically of 15 years or 200,000 kilometers or more [1]

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].