Core Viewpoint - The ongoing debate between pure vision and LiDAR technology in the autonomous driving sector is highlighted, with Xiaopeng Motors firmly supporting the pure vision approach, believing it will outperform LiDAR in complex scenarios in the future [2][3]. Group 1: Company Perspectives - Xiaopeng Motors' chairman, He Xiaopeng, stated that the company will adhere to a pure vision route for its autonomous driving technology, emphasizing that advancements in computing power have resolved previous limitations of visual systems [2][3]. - The AI Eagle Eye driving solution from Xiaopeng Motors utilizes 8 million pixel cameras and Lofic technology, achieving a 125% increase in perception distance and a 40% improvement in recognition speed [2]. - Tesla's CEO, Elon Musk, is a strong advocate for the pure vision approach, arguing that it better simulates human driving and is more adaptable to existing traffic environments [3][4]. Group 2: Technical Comparisons - Pure vision systems rely on cameras and deep learning algorithms, offering advantages such as lower costs and greater data volume, but are sensitive to lighting and weather conditions [3]. - LiDAR technology provides high precision and all-weather functionality, but comes with higher hardware costs and complex data processing requirements [3][5]. - The Chinese LiDAR industry has gained significant competitiveness, with domestic manufacturers holding over 80% of the global market share, and the average cost of LiDAR for ADAS is expected to decrease by 15.56% to 3,800 yuan in 2024 [5][7]. Group 3: Market Trends - The rapid growth of the smart connected vehicle market in China is creating a testing ground for the technology route debate, with expectations that the penetration rate of smart connected new energy vehicles will exceed 40% by 2025 [7]. - By 2030, smart connected vehicles are projected to become mainstream, with the industry scale potentially exceeding 2 trillion yuan by 2029 [7]. - Current autonomous driving technologies, whether multi-sensor systems including LiDAR or pure vision systems, are still in the early stages of development and face various challenges [10].