（图片来源：摄图网） 在自动驾驶领域，纯视觉方案与激光雷达方案的技术路线之争一直是行业焦点。8月6日，小鹏汽车董事长何 小鹏在接受媒体采访时明确表示，小鹏汽车将坚持纯视觉路线，"小鹏汽车在前年就做出了决策，我们的辅 助驾驶、自动驾驶甚至未来的无人驾驶都会坚持纯视觉路线。" 何小鹏认为，视觉方案的上限远超激光雷达，并且随着技术的发展，视觉方案将能够更好地处理各种复杂场 景，包括目前激光雷达被认为有优势的暗光、眩光等条件。 何小鹏解释了技术转变的底层逻辑。过去，纯视觉方案表现不佳主要是因为算力不足。视觉系统看到的图像 既没有足够的像素点阵，也没有足够的帧率和时空逻辑。如今，随着算力的大幅提升，这一问题得到了解 决。小鹏汽车的AI鹰眼智驾方案采用了前向和后向800万像素的摄像头，并结合Lofic技术，感知距离提升了 125%，识别速度提升了40%。在夜间、大逆光、雨雪天等复杂条件下，视觉方案的表现甚至比人眼更清 楚。 何小鹏还举例说明了视觉方案的潜力。未来，视觉系统将能够识别路上可能扎胎的钉子、被挪动的沙井盖等 细节，这些是激光雷达很难做到的。他预测，到2027年，视觉与激光雷达之争将不再是问题，视觉方案将能 够更 ...

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].