"到2027年，两个路线的选择可能就不是问题了！"近日，小鹏汽车董事长何小鹏的一番言论，再度 激起了纯视觉路线与激光雷达争论的水花。环境感知两大技术路线之争由来已久，却始终未有定论。如 今，技术、成本以及辅助驾驶普及度都不可同日而语，智驾路线之争真能如何小鹏所言，在2027年尘埃 落定吗？ 两条路线各有拥趸 如果说此前纯视觉路线只是"少数人的坚持"，激光雷达才是"多数人的选择"，如今两条技术路线都收获 了不少拥护者，呈势均力敌之势。既有新入局者选择加入激光雷达阵营，也有车企选择"倒戈"纯视觉路 线。 目前来看，仍有不少车企布局激光雷达路线。日前上市的全新坦克500便配备了激光雷达，搭载Coffee Pilot Ultra长城汽车第三代辅助驾驶系统。理想i8则配备了1颗激光雷达、12颗摄像头、12颗超声波雷 达、1颗毫米波雷达，共26个智能传感器。小米汽车同样坚定地站在激光雷达路线上，小米YU7全系标 配激光雷达、4D毫米波雷达。就连传统跨国车企奥迪也联合华为乾崑，在其战略性纯电产品Q6L e-tron 上配备了"2颗激光雷达＋5颗毫米波雷达＋13颗摄像头＋12颗超声波雷达"的感知体系。 此外，激光雷达也不只是 ...

Core Viewpoint - The development of intelligent driving technology has become a significant indicator of automotive companies' capabilities, but it has also led to industry chaos and safety incidents, prompting regulatory bodies to enhance safety standards [2][3] Group 1: Industry Challenges - The industry faces three main bottlenecks: technical issues, testing and inspection challenges, and ecosystem deficiencies [3] - Technical challenges include the ongoing debate between vision-based and LiDAR-based solutions, which distracts companies and affects performance in complex scenarios [3] - The lack of clear standards for assisted driving levels leads to marketing exaggerations, causing misuse by consumers [3] - Testing resources are fragmented, with companies duplicating efforts in building testing facilities, leading to inefficiencies [4] - The traditional testing methods are inadequate for the needs of intelligent connected vehicles, necessitating the development of new technologies [4] Group 2: Regional Development and Investment - The East China region, as a major automotive cluster, accounts for over 35% of the national automotive industry, with cities like Shanghai and Suzhou at its core [5] - China Automotive Research Institute (CARI) is investing over 2.3 billion yuan to establish a headquarters in Suzhou, aiming to support the automotive industry's high-end, intelligent, and green upgrades [5][6] - The headquarters will feature over 1,000 advanced R&D and testing facilities, providing comprehensive support across the automotive supply chain [6] Group 3: Collaborative Ecosystem - CARI's headquarters aims to create a collaborative ecosystem involving local governments, testing institutions, and enterprises to enhance the automotive industry's development [7][8] - The establishment of the "Suzhou New Energy Vehicle Public Service Platform" will provide integrated testing and certification services, promoting high-quality development in the intelligent connected vehicle sector [8] - Collaboration with universities and technology companies is emphasized to accelerate research and innovation in key areas such as vehicle-grade chips and intelligent driving systems [9][10]