以下文章来源于蚀刻AiTech ，作者蚀刻团队 蚀刻AiTech . 智能驾驶十年老兵，走过四家公司，搞过芯片做过量产，写写行业新鲜事。 期待刻录AI发展的重点时 刻。 原文链接： 蚀刻独家 | 前蔚来智驾高管加盟新公司 点击下方 卡片 ，关注" 自动驾驶之心 "公众号 戳我-> 领取 自动驾驶近30个 方向 学习 路线 >>自动驾驶前沿信息获取 → 自动驾驶之心知识星球 该头部无人配送公司目前正处于发展的快车道。今年10月，公司宣布完成D轮融资，创下中国自动驾驶 领域最大一笔私募融资纪录。目前该公司已实现累计交付车辆突破1万台、业务覆盖全国近300个城市的 规模，正全力杀入即时物流和泛城配市场，加速推进无图自动驾驶技术和端到端大模型的应用。这些技 术正是该高管在蔚来负责的核心领域。他的加入，可以说是该公司为应对下一阶段挑战所做的关键性人 才储备。 加加加加加加加加柱柱柱柱柱柱柱柱哥哥哥哥哥哥哥哥微微微微微微微微信信信信信信信信爆爆爆爆爆爆爆爆料料料料料料料料！！！！！！！！ 自 动 驾驶之心 某前蔚来智驾高管已正式加入某头部无人配送自动驾驶企业，并出任该公司要职。 该高管在加入蔚来前，曾任Momenta高级 ...

Core Insights - Horizon aims to implement advanced urban driving assistance in vehicles priced below 70,000 yuan, targeting a market where 50% of passenger car sales fall under 130,000 yuan [3][4] - The company plans to collaborate with major manufacturers to achieve a production scale of 10 million units within three to five years, leveraging its self-developed driving algorithms [3][4] - Horizon's ambition is to make advanced driving assistance a standard feature, akin to automatic transmissions, rather than a luxury add-on [4][10] Market Context - The current market for vehicles under 100,000 yuan lacks advanced urban driving features, presenting a significant growth opportunity for Horizon [3][4] - Competitors like BYD, Geely, and Chery have introduced simpler driving assistance features but have not ventured into advanced urban driving solutions [4][9] - The competitive landscape is intensifying, with companies like Momenta and Qualcomm entering the market with rapid advancements in chip development [4][9] Technological Development - Horizon's strategy involves developing its own HSD (High-level Driving) solutions to increase market share and reduce costs through economies of scale [10][11] - The company aims for a tenfold increase in computing power and model capacity with each new generation of chips, with the upcoming Journey 7 series expected to launch alongside Tesla's next-generation AI5 chip [10][11] - The Journey 6 series is crucial for Horizon's strategy, as it is designed to support urban NOA (Navigation on Autopilot) and is expected to meet the rising demand for higher computing power in the industry [11][12]

Core Insights - RoboSense has secured a new mass production order from FAW Toyota for a well-known best-selling model, with a cumulative order scale approaching 1 million units over five years, and reported record lidar deliveries exceeding 150,000 units in November [1][15] Group 1: Localization Strategy - Japanese automakers are increasingly adopting a "localization" strategy in China, moving away from the traditional "global car" approach to introduce products tailored for the Chinese market with enhanced smart capabilities and localized configurations [3][4] - Companies like Nissan are launching models such as the N6, which emphasize local user needs and incorporate locally developed software and cloud services, reflecting a shift towards a more localized marketing and service strategy [6][8] Group 2: Collaboration with Local Suppliers - Japanese car manufacturers are forming deeper collaborations with local technology companies, including partnerships with domestic autonomous driving software and lidar manufacturers, indicating a shift in their operational strategy in China [6][8] - The collaboration with local suppliers is seen as essential for achieving cost efficiency and rapid iteration capabilities, which are critical for the mass production of smart vehicles [10][11] Group 3: Market Dynamics and Competitive Pressure - The decline in market share for Japanese brands in China has prompted a strategic shift towards more localized products and services to maintain competitiveness against German brands [9][10] - The rapid growth of smart connected vehicles in China, driven by policy support, has compressed market space for Japanese automakers, necessitating a reevaluation of their strategies [9][10] Group 4: Technological Integration - Japanese automakers are recognizing the importance of software-defined vehicles and are investing in both in-house development and external partnerships to enhance their technological capabilities [11][12] - The transition towards smart vehicle technology is seen as a critical step for Japanese brands to catch up in the competitive landscape of the Chinese automotive market [11][12] Group 5: Future Outlook - The recent moves by Japanese automakers towards deeper localization and collaboration with Chinese suppliers may mark a new milestone in their operations in China, potentially leading to improved competitiveness and market presence [15] - As more Chinese companies secure contracts in international automotive projects, the integration of local technology and cost solutions is expected to facilitate a more globalized industry landscape [15]

Group 1 - Mercedes-Benz and Momenta announced the launch of an autonomous taxi service based on the new generation S-Class, with initial testing set to take place in Abu Dhabi [1] - The first batch of S-Class vehicles will be used for road testing in Abu Dhabi, with local partner Lumo responsible for operating the autonomous taxi fleet [1] - Lumo, a mobility operator under tech company K2, has received permission to operate autonomous vehicles in the UAE and will be the first to launch services in Abu Dhabi [1] Group 2 - In 2024, Mercedes-Benz became the first international automotive brand authorized to conduct Level 4 (L4) urban and highway testing in Beijing [1] - The L4 testing aims to explore cutting-edge technologies in the development of autonomous driving systems, focusing on multi-sensor perception and performance in extreme conditions [1] - The testing will utilize S-Class vehicles equipped with a specially designed sensor suite, including lidar, radar sensors, and cameras [1]

将投中网设为"星标⭐"，第一时间收获最新推送 蔚来资本，又成功收获了一个回报丰厚的IPO。 作者丨 簪竹 来源丨 投中网 一个明星IPO来了。 12月10日，国产激光雷达企业图达通以De-SPAC（特殊目的收购公司）模式正式登陆港交所，上市募集总计约 10.3亿港元。截至发稿，这家公司的市值超过200亿港元。 这也意味着，伴随着上市的掌声，连投图达通5轮且为对方外部第一大股东的蔚来资本，又成功收获了一个回报 丰厚的IPO。 蔚来资本管理合伙人朱岩表示，作为图达通的早期产业投资方与长期战略伙伴，蔚来资本始终对其技术创新实力 与发展潜力抱有坚定信心。自2018年首次投资起，蔚来资本、蔚来汽车与图达通便以资本为联结、以产业为根 基，在车规级激光雷达的研发与量产攻坚阶段展开深度协同、共研共创，率先实现了图像级高清激光雷达的全球 首次规模化量产。 这段从图达通A轮融资就开始的投资故事，始于一个问题：如何在很远的距离就发现目标？ 蔚来资本管理合伙人朱岩、合伙人吕元兴、董事总经理凌雯与图达通创始人鲍君威在上市仪式现场合影 非常难的事，非常牛的人 回到八年前蔚来资本刚接触图达通的时候，激光雷达赛道最火的是Velodyne、Q ...

FSD近期更新后，有用户发现，现在启动FSD时，可以玩手机了。 换句话说，系统在特定条件下，允许车主"脱手脱眼"，符合L3级自动驾驶。 特斯拉率先解锁L3，虽然让同行感到了压力，不过自身也面临着新的问题。 有网友"灵魂拷问"： 交管部门允许这事儿吗？ FSD最近推送了V14.2.1版本，广受特斯拉车主们好评。有车主在使用新版FSD时发现，如今分心玩手机 发短信，不会触发系统警告了。 车主对此感到很意外，于是他在社交平台发问，得到了马斯克本人确认。 马斯克，率先迈向L3。 马斯克回应后，有车主直接"以身试法"，录制了时长1分钟44秒的视频。 视频中他全程都在玩手机，放任车辆在车流中自由穿梭，车速最高时为60mph，换算成咱们熟悉的单位 也就是时速96km。据他透露，后来在遇到一辆货车往自己车道上并线时，系统才提醒自己。 △图源：大皖新 开车玩手机不触发警告，只是表象，这实质上意味着FSD初步迈向L3，允许车主"脱手脱眼"了。 这也是马斯克此前在11月份特斯拉股东大会上的承诺，没想到这么快就兑现了。 网友们对FSD的最新进展，有惊喜有担忧。有网友认为这是自动驾驶的转折点、大事件。 更多网友则觉得，开车玩手机既不安 ...

Group 1 - BMW is systematically enhancing its smart vehicle ecosystem in China through collaborations with three Chinese tech companies, focusing on AI capabilities from cloud computing to vehicle decision-making [1] - The partnerships include Alibaba for AI in smart cockpits, DeepSeek for AI integration in onboard systems, and Momenta for developing advanced driving assistance systems tailored for the Chinese market [1][3] - BMW's strategy aims to align with the rapid technological evolution and user demands in China, emphasizing localized AI technology across perception, interaction, and decision-making [1] Group 2 - The launch of the "360-degree AI" strategy in March marks a significant shift for BMW, integrating AI deeply into the entire value chain from R&D to sales and service [2] - The self-developed AI platform "GAIA" serves as a core component of this strategy, aiming to redefine how AI creates value across the organization [2][7] - BMW has a history of AI applications in China dating back to 2018, with the introduction of the "BEACON" platform in 2022 providing foundational data intelligence for production and operations [2] Group 3 - The collaboration with Momenta focuses on developing a new generation of intelligent driving assistance solutions based on BMW's new generation models, set to debut in 2026 [3][4] - The system will be tailored to local driving conditions in China, providing comprehensive navigation assistance for urban and highway scenarios [3] - Extensive testing is being conducted in both virtual and real-world environments to ensure the reliability and safety of the new system [4] Group 4 - The AI-driven system aims to enhance vehicle adaptability to complex Chinese road conditions, integrating Momenta's AI algorithms with BMW's expertise in vehicle safety and human-machine interaction [5] - The new system will be a key part of BMW's transition to "software-defined vehicles," combining advanced driving technologies with innovative human-machine interfaces [5][6] - BMW's development philosophy emphasizes smart driving, symbiotic interaction, and safety, ensuring a secure user experience [5] Group 5 - The "GAIA" platform is designed to be a digital foundation for BMW's AI capabilities, facilitating innovation and operational efficiency across the organization [7][8] - It aims to democratize AI usage within the company, allowing employees to create applications and manage knowledge assets without requiring extensive technical expertise [8][9] - The platform integrates both internal and external AI technologies, ensuring compliance with safety and regulatory standards while promoting innovation [9] Group 6 - AI solutions are being applied in various areas such as quality control and spare parts management at BMW's production facilities, supporting the upcoming launch of the new generation BMW iX3 in 2026 [10] - The integration of AI into BMW's operations is seen as essential for maintaining high production quality and adapting to the evolving automotive landscape [10][11]

Mercedes will partner with Chinese software developer Momenta to deploy self-driving cars in Abu Dhabi https://t.co/uMSVFs1tA5 ...

Core Insights - Mercedes-Benz, in collaboration with autonomous driving company Momenta and local UAE taxi company Lumo, announced the launch of a luxury robotaxi service in Abu Dhabi [1] - The fleet will be based on the new Mercedes-Benz S-Class and is planned to officially commence operations next year in Abu Dhabi, with future expansion to other global markets [1] Company Developments - The partnership aims to leverage advanced autonomous driving technology to enhance urban mobility solutions [1] - The introduction of the robotaxi service aligns with Mercedes-Benz's strategy to innovate in the luxury vehicle segment while integrating cutting-edge technology [1] Industry Trends - The move reflects a growing trend in the automotive industry towards autonomous vehicle services, particularly in urban environments [1] - The collaboration with local companies indicates a strategic approach to entering new markets and adapting to regional demands [1]

Summary of Conference Call Records Industry Overview - The records focus on the autonomous driving chip landscape in the Chinese automotive industry, highlighting various companies' strategies and developments in self-driving technology and chip utilization. Key Points by Company NIO - NIO's self-driving solution utilizes fully self-developed technology, primarily promoting a world model, but currently lags in effectiveness. The main task for next year is to improve the connectivity rate of the parking-to-parking function and handle complex cases. The Lido and Firefly series are expected to continue using NVIDIA solutions [1][3]. Xpeng Motors - Xpeng's mid-to-high-end models will feature the self-developed Turing chip with a computing power exceeding 1,000 TOPS. The focus is on the iteration of VLA and world models, deeply integrating the BL module. The Turing chip will also be used in the Robotic business line to optimize Robot Taxi efficiency and safety [1][5]. Li Auto - Li Auto's self-developed M100 Schumacher chip is expected to enter mass production in Q2 2026, debuting in high-end models. The AD Max system will feature a mix of M100 and Horizon solutions, while the AD Pro system will continue with Horizon but may upgrade to the G6H version. The algorithm will firmly follow the VOL route [1][5]. Xiaomi - Xiaomi plans to use NVIDIA's 42 series chips in high-end models, while the self-developed Xuanjie O2 chip will be temporarily shelved due to regulatory challenges. The algorithm will be upgraded to address key issues, adopting a structure similar to Tesla's, focusing on world models and language models to solve parking and urban commuting challenges [1][6]. BYD - BYD will upgrade its high-end solutions to NVIDIA's Orin solution, debuting in the Yangwang U8 model. The terminal solution, Tianyi Cloud B1, will have two versions, one continuing with the Orin 3OX low-cost solution and another possibly using Horizon's G6P. BYD plans to significantly adopt the Orin solution and phase out Horizon [1][7]. Chery - Chery's 2026 autonomous driving plan includes multiple tiers. The Falcon 500 series will primarily use Horizon and Qualcomm platforms, while the Falcon 700 series will adopt a dual Orin X platform. The Falcon 900 series will utilize the Sora Ultra platform [1][4][9]. Geely - Geely's autonomous driving layout spans low, mid, and high-end models. Low-end models will mix Black Sesame 1,000 and Horizon Orin chips, while mid-range models will use single and dual Orin X chips. High-end models will feature Soar and dual Soar chips, debuting in flagship models like Zeekr 001 [1][10]. Great Wall Motors - Great Wall's autonomous driving solutions are categorized into low, mid, and high computing power platforms. The low computing power platform will use TI TDA 4VH and Horizon GLM chips, while the mid computing power platform will collaborate with Momenta. The high computing power platform will include dual Orin X and Soar, with Soar expected to replace dual Orin X in 2026 [1][11]. Market Trends - By 2026, companies like BYD, Chery, Geely, and Great Wall, along with joint ventures like Toyota and Volkswagen, are expected to become significant third-party chip purchasers. Volkswagen plans to accelerate its smart vehicle process, heavily adopting Horizon's G6P and G6M solutions [1][12]. Cost Trends - The cost of mid-range platforms, such as BYD's Tianlian B1, is projected to decrease by about 10% in 2026, dropping to around 7,000 yuan. Low-end solutions like Horizon GO6M will see annual hardware cost reductions of 5%-7%. High-end solutions like Orin and Sol are expected to have limited cost reductions, primarily relying on software supplier price drops and increased shipment volumes [1][14][16]. Chip Development - The records indicate a growing trend towards self-developed chips in high-end vehicles to enhance profit margins and optimize resource allocation. In contrast, low-end vehicles will continue to utilize third-party solutions for cost efficiency and quality assurance [1][26]. Conclusion - The autonomous driving sector in China is rapidly evolving, with various companies adopting different strategies for chip development and algorithm integration. The competition is intensifying, particularly in the high-end market, where self-developed solutions are becoming more prevalent.