Workflow
L2强标下,激光雷达与纯视觉谁更胜一筹?
Di Yi Cai Jing·2025-09-22 12:05

Core Viewpoint - The divergence between two major technological paths for intelligent driving, namely LiDAR and pure vision, has become increasingly evident, especially following the inclusion of LiDAR in the mandatory national standard for intelligent connected vehicles [1] Group 1: Technology Paths - The recent mandatory national standard (L2 strong standard) has incorporated LiDAR as a new perception unit, which has sparked discussions on whether both LiDAR and pure vision can meet the multi-scenario safety requirements [2] - Companies like Tesla and XPeng are focusing on high-performance chips and high-precision cameras to enhance their autonomous driving technology, while others like Huawei and Suyuan Ju Chuang are advocating for the use of LiDAR to improve safety redundancy [1][2] - The debate continues on whether LiDAR or pure vision provides higher safety, with proponents of pure vision arguing that advancements in AI models and local high-performance computing can meet safety standards without LiDAR [3][4] Group 2: Market Trends and Adoption - The market for LiDAR is growing, with over 66.7 million units of L3 and below intelligent auxiliary driving models sold, and 60% of these models equipped with LiDAR [7] - The price of LiDAR has been decreasing, with some products expected to drop to $200, making them more accessible for mass production [7] - Despite the growth of pure vision technology, the reliance on high-performance chips from foreign manufacturers poses a challenge for the development of this path in the future [6][7]