新浪科技讯 8月6日晚间消息，在今日的全新小鹏P7中国首秀发布会上，小鹏汽车董事长、CEO何小 鹏，小鹏汽车P7车型产品负责人Nick，小鹏汽车造型中心总经理王谭与媒体对话。 责任编辑：何俊熹 他认为，以前纯视觉做不好是因为算力太弱了，未来纯视觉的上限会远远高过激光雷达。现在两个路线 的选择可能是个问题，到2027年时可能就不是个问题了。 对于纯视觉与激光雷达两个路线的争论，何小鹏表示，小鹏汽车在前年就做出了决策，小鹏的辅助驾 驶、自动驾驶甚至未来的无人驾驶都会坚持纯视觉路线。 ...

Core Viewpoint - XPeng Motors denies plans to reintroduce LiDAR technology, reaffirming its commitment to a pure vision-based approach for autonomous driving [1] Summary by Relevant Sections - Company Positioning - XPeng Motors' Vice President, Yu Tao, explicitly stated that the company will not revert to using LiDAR technology, emphasizing a focus on vision-based systems instead [1] - Market Context - There were prior market speculations suggesting that XPeng Motors might consider re-implementing LiDAR, but the company has clarified its stance against this [1]

Core Insights - Baidu's founder, Li Yanhong, recently adjusted the company's approach to the Robotaxi autonomous driving technology, shifting from a multi-sensor or vehicle-road collaboration route to a pure vision route, emphasizing the urgency to adapt quickly to market demands [1] - The company operates the largest autonomous taxi fleet in China, "Luo Bo Kua Pao," with over 2,000 vehicles and has achieved a positive Unit Economic model in cities like Wuhan, while also pushing for international expansion into cities like Dubai, Tokyo, and Singapore [3] Group 1 - Li Yanhong's internal speech highlighted the need for Baidu to switch to a pure vision route for Robotaxi to remain competitive against Tesla's advancements [1] - The current debate in the autonomous driving sector involves two main technological routes: a hybrid approach using lidar and cameras, represented by Waymo and Baidu, versus a pure vision approach solely relying on cameras, represented by Tesla [1] Group 2 - Baidu's autonomous taxi fleet, "Luo Bo Kua Pao," is the largest in China, with a scale exceeding 2,000 vehicles [3] - The company has successfully implemented a positive Unit Economic model in its operations, indicating a favorable relationship between revenue and costs [3] - Baidu is actively pursuing international expansion for its Robotaxi service, targeting markets in Dubai, Tokyo, and Singapore [3]

Core Insights - The excitement surrounding Tesla's Robotaxi has evolved into a more complex understanding of its real-world implications and challenges as the initial hype has cooled down [3][5]. Group 1: Disruptive Potential of Robotaxi - The concept of Mobility as a Service (MaaS) suggests that the value of cars will shift from horsepower and range to the service value they can generate daily, potentially transforming millions of Tesla owners' vehicles into a decentralized transportation network [5]. - Tesla's "pure vision" approach, relying solely on cameras and neural networks, contrasts with competitors like Waymo that use expensive lidar and high-definition maps, offering the potential for low marginal costs and rapid global scalability if successful [5]. - The average usage of a private car is less than 1.5 hours per day, while Robotaxi could increase this to 16 hours, redefining cars from consumer goods to production assets and altering valuation logic across the automotive industry and urban environments [5]. Group 2: Key Challenges for Decision Makers - Questions regarding the technological route of FSD V12's "end-to-end AI" remain, particularly its performance in extreme weather and ambiguous traffic scenarios, as current tests still require safety drivers and remote control [6][8]. - The business model poses challenges in balancing a self-operated fleet with private car participation, including liability, insurance, and maintenance complexities, especially in competition with established players like Waymo [8]. - The large-scale deployment of Robotaxi will challenge urban charging networks and data centers, necessitating a redesign of insurance pricing and claims processes for autonomous driving, while also impacting suppliers of chips and sensors [8]. Group 3: Internal Insights and Industry Perspective - The company emphasizes the importance of firsthand experience from industry insiders to navigate the uncertainties and opportunities presented by Robotaxi, advocating for direct engagement with experts in the field [9]. - By connecting with top professionals from leading companies, stakeholders can gain valuable insights into the challenges and breakthroughs encountered in real-world testing and commercialization [9]. - The company has access to over 30,000 industry experts, providing a robust network for informed decision-making and strategic planning in the evolving landscape of autonomous vehicles [9]. Conclusion - The introduction of Tesla's Robotaxi is expected to create significant long-term industry ripples, urging stakeholders to actively engage and leverage insights from top experts to seize emerging opportunities [29].

Core Viewpoint - The optimal solution for intelligent driving, according to Elon Musk, combines artificial intelligence, digital neural networks, and cameras, rather than relying on laser radar technology [2][6]. Group 1: Perspectives on Sensor Technology - Musk emphasizes that the global road systems are designed for biological neural networks and vision, not for laser-based systems, which can lead to conflicts between different sensor types [6]. - In contrast, domestic companies like Huawei advocate for the necessity of laser radar, citing safety concerns and limitations of camera-only systems, especially in adverse weather conditions [6][11]. - Huawei's executive, Yu Chengdong, argues that life is invaluable, and thus, safety features like laser radar are essential for reliable vehicle operation [7]. - Xiaopeng Motors supports a vision-based approach, with their senior director stating that the idea of laser radar being superior for long-distance detection is misleading [8][9]. Group 2: Limitations of Laser Radar - Laser radar, as an active sensor, has several drawbacks, including reduced signal strength and point cloud density at longer distances, making it less effective for identifying distant objects [10]. - The technology is also sensitive to weather conditions, with laser radar struggling in rain and fog, while millimeter-wave radar performs better in such scenarios [11]. - Overall, laser radar is characterized as having low information density and being prone to interference, making it unsuitable as the primary sensor for advanced driving systems [12].

Summary of Key Points from Conference Call Industry and Company Involved - The conference call focuses on the **LiDAR (Light Detection and Ranging)** technology industry, particularly its applications in the automotive sector and emerging markets like smart lawn mowers and unmanned urban delivery vehicles. Core Insights and Arguments 1. **Impact of AEBS Regulations**: The release of the AEBS (Advanced Emergency Braking System) regulation draft is expected to catalyze the adoption of LiDAR in L2 and below vehicles, enhancing basic safety and perception functions [3][12][10]. 2. **Market Growth in Smart Lawn Mowers**: The demand for LiDAR in smart lawn mowers and unmanned urban delivery is rapidly increasing, with expected shipment volumes to expand significantly by 2025, potentially reaching a market size of **5 to 6 billion** [5][17]. 3. **High Potential in LiDAR Market**: The global automotive-grade LiDAR market is projected to cultivate companies with a market value of **hundreds of billions** of RMB, although current valuations of leading companies like Hesai and RoboSense do not fully reflect their growth potential [6][9]. 4. **Concentration of Supply and Demand**: The supply side is highly concentrated with strong certainty, while the pricing and valuation have not yet fully captured the accelerating demand, indicating a high potential for returns [8][7]. 5. **Trends in LiDAR Technology**: LiDAR technology is trending towards downscaling, diffusion, and high-end applications, with prices rapidly decreasing, making it more accessible for various vehicle types [4][14][16]. 6. **Unmanned Delivery Vehicles**: The use of LiDAR in unmanned delivery vehicles (RoboVan) is justified by significant cost savings in last-mile delivery, with potential reductions in delivery costs by **67%** [19][20]. 7. **Growth of Unmanned Freight Vehicles**: The unmanned freight vehicle market is expanding quickly, with major companies planning substantial deliveries in 2025, indicating a market potential of **200 to 400 billion** [21][23]. 8. **Technological Advancements**: The latest models of unmanned freight vehicles are equipped with multiple LiDAR units, with costs decreasing significantly, enhancing their commercial viability [22][23]. 9. **Future Market Dynamics**: The future of the unmanned delivery vehicle market is promising, with a focus on cost control and the need for stricter automotive-grade requirements as speeds increase [24][25]. Other Important but Possibly Overlooked Content 1. **LiDAR's Role in Technology**: LiDAR is crucial for simulating human interaction with the environment, serving as a key technology in various sectors including smart driving and safety monitoring [2]. 2. **Market Penetration of LiDAR in Smart Lawn Mowers**: The penetration rate of LiDAR in smart lawn mowers is expected to rise significantly, with a notable increase from **10% to 30%** in just one year [18]. 3. **Regulatory Changes**: The shift of AEBS from a recommended to a mandatory standard will require M1 and N1 class vehicles to install AEBS systems, directly impacting the adoption of LiDAR technology [12]. 4. **Long-term Investment Opportunities**: Companies like Hesai and RoboSense are positioned for long-term growth, with the potential for significant returns in the high-risk, high-reward segments of the market [26].