日前，特斯拉首席执行官埃隆·马斯克在社交平台的一则回复，吸引了电车通的注意。 小鹏自动驾驶总监 Candice Yuan 接受海外媒体 CarNewsChina 采访时称，车企将摒弃激光雷达，转用视觉技术。 这并不是什么新鲜事，只是针对网友 "只要复制马斯克的想法就成功" 的总结，马斯克直接用一个 "笑哭" 表情回应，当中透着不少玩味。 截图：X 现阶段，汽车辅助驾驶的硬件基础方案，主要分为 "激光雷达派" 与 "纯视觉派" 两类。 特斯拉认为一个足够先进的人工智能系统应该只需要靠视觉就能自动驾驶，是坚定的"纯视觉派"；绝大部分国产品牌则是坚定的"激光雷达派"，他们认为激 光雷达的识别能力更强，能够为自动驾驶决策提供更可靠的支持。 从 "激光雷达派" 转向 "纯视觉派" 的车企，目前看来似乎只有小鹏汽车一家，这或许就是马斯克会"笑哭"的直接原因。 然而翻看品牌智驾发展的过往，无论是 "激光雷达派" 主导的时期，还是如今转投 "纯视觉派"，小鹏汽车的每一个决策背后都有自己的考量。 图源：小鹏汽车官方 放弃激光雷达，是实力跃升的必然结果 早在 2021 年，小鹏汽车在全球范围内首次将激光雷达应用在量产车型小鹏 P ...

谁是中国智驾的大赢家？ 有人说是又做智驾又卖激光雷达的华为，也有人说是从垫底到尖子生"跃迁"的理想；但我认为既不是华为，也不是理想，甚至不会是任何车企。 而是一直在闷声发大财的幕后大佬：禾赛科技。 禾赛，又是哪位？ 众星捧月 我们都知道，在高阶辅助驾驶，也就是我们之前说的"智驾"，根据有无激光雷达，可以分为两大主要技术流派：以激光雷达为核心的多传感器融合方案， 和以摄像头为核心的视觉融合方案。 而禾赛科技，正是行业中激光雷达这个零部件的头部供应商。 根据《雪球财经》的报道，2025 年上半年，中国车载"主激光雷达"装机量 86.2 万颗，禾赛以 28.4 万颗、33.0% 的份额位居榜首，连续四年保持全球第 一；同期在全球车载激光雷达营收中亦占 33%，显著领先华为（30%）和速腾聚创（27%）。 实际上，2025 年的禾赛科技，过得简直爽飞了。 9 月 16 日，禾赛正式登陆港交所，成为全球首家"美股+港股"双重主要上市的激光雷达公司。挂牌首日高开 13.3%，收盘市值 363 亿港元，IPO认购阶段 获 167 倍超额认购，创港交所"回拨新规"后纪录。 资本市场买单，源于业绩的硬核反转：2025 年第二季 ...

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].

Core Viewpoint - Xiaopeng Motors is advancing its AI capabilities by launching new vehicles equipped with self-developed Turing chips, emphasizing a shift to a pure vision approach without LiDAR technology [2][3][4]. Group 1: Vehicle Technology and Specifications - The new Xiaopeng G7 SUV features a Turing chip with an effective computing power equivalent to three NVIDIA Orin X chips, achieving over 2200 Tops, meeting the L3 autonomous driving threshold [2]. - The high-end version of the Xiaopeng Mona M03, launched recently, is equipped with two Orin-X chips, providing a computing power of 508 Tops, which Xiaopeng claims meets the L2 autonomous driving threshold [2]. - Xiaopeng's AI capabilities are based on a large foundation model with 720 billion parameters, which the company believes will enhance its autonomous driving technology [7][10]. Group 2: Shift from LiDAR to Pure Vision - Xiaopeng's leadership argues against the use of LiDAR, citing its limitations such as short range, interference, low frame rates, and poor penetration, opting instead for a pure vision solution [2][4][6]. - The company claims that removing LiDAR saves 20% of perception computing power, allowing for faster model responses and significantly improving safety levels in urban driving scenarios [10][12]. - Xiaopeng's AI Eagle Eye driving solution utilizes high-resolution cameras and advanced technologies to enhance perception capabilities, claiming to outperform human vision in various conditions [10][15]. Group 3: Industry Context and Competitive Landscape - The automotive industry is witnessing a trend where many brands are adopting LiDAR technology, especially after recent accidents, while Xiaopeng remains committed to its pure vision strategy [4][6]. - Xiaopeng's approach is seen as a challenge to the prevailing belief that additional sensors like LiDAR provide safety redundancy, with the company emphasizing computing power as the primary metric for evaluating autonomous driving capabilities [6][18]. - The competition between pure vision and LiDAR solutions is intensifying, with both sides continuously improving their technologies in response to industry demands and criticisms [29][30]. Group 4: Future Outlook and Strategic Intent - Xiaopeng aims to establish itself as a leader in the AI automotive space, with plans to achieve L3 autonomous driving in China by the end of the year and to introduce humanoid robots for industrial applications next year [17][35]. - The company believes that advancements in AI will allow for greater generalization and understanding of unknown scenarios, potentially leading to safer autonomous driving solutions [33][36]. - Xiaopeng's CEO has indicated that the debate over the superiority of pure vision versus LiDAR will conclude by 2027, suggesting confidence in the effectiveness of their technology [36].