近日，特斯拉在美国得克萨斯州奥斯汀启动的自动驾驶出租车（Robotaxi）试运营项目曝出首起公开碰 撞事故。 科技博主"DirtyTesla"发布的视频显示，一辆特斯拉Robotaxi在结束行程后，突然在无控制状态下自行加 速并偏转方向，擦碰到一辆静止车辆。 目前，监管机构已要求特斯拉解释相关操作逻辑与技术细节。 事故虽未造成人员伤亡，但由于其出现在Robotaxi测试期间，正在演变成对特斯拉技术路线，即"纯视 觉"自动驾驶方案的拷问。 近年来，马斯克多次否认对激光雷达和毫米波雷达的需求，强调"只靠摄像头和数据训练"就能通往L4级 别自动驾驶。但从光线不足环境下的识别失效，到试运营过程中频繁出现的误判刹车、路线错误乃至碰 撞，都凸显出"纯视觉"方案在现实场景下的不稳定性。 特斯拉Robotaxi的首起碰撞事故近日被曝光。该项目于6月22日在奥斯汀正式启动试运营。 据特斯拉FSD用户、博主"DirtyTesla"描述，当时他乘坐一辆全自动驾驶的Model Y测试车前往一家披萨 店，车辆多次尝试驶入该店停车场失败后，停在了入口旁。他下车后拍摄的视频显示，车辆在无人操作 的情况下突然自行转动方向盘，径直驶向旁边停放 ...

Group 1: Transformation of Guangdong Manufacturing - Guangdong has transformed from a "world factory" to a "smart manufacturing highland," showcasing technological advancements in various sectors such as autonomous driving, drones, and smart equipment [1] - The province has maintained its position as the leading region in GDP for 36 consecutive years, with high-tech manufacturing value added increasing by 10.2% in 2024, accounting for 32.0% of the total industrial value added [1] Group 2: Growth of the Drone Industry - Guangdong's drone industry is rapidly advancing, with over 15,000 companies in the low-altitude economy, generating a market size exceeding 100 billion yuan [2] - Shenzhen's low-altitude aerospace industry achieved double-digit growth in 2024, while Zhongshan's drone sector generated over 5.7 billion yuan in sales [2] Group 3: Robotics and Automation - Guangdong has become China's largest intelligent robot industry cluster, with revenues exceeding 90 billion yuan in 2024 [6] - The Guangdong Intelligent Robot Research Institute and Shenzhen AI and Robotics Research Institute are fostering innovation and application in the robotics sector [7] Group 4: Financial Support for Innovation - Since 2022, Guangdong has signed strategic cooperation agreements with 23 national financial institutions, resulting in 233 specific cooperation projects worth 1.31 trillion yuan [16] - The province's technology credit balance grew by 23% in 2024, with private equity and venture capital management numbers leading the nation [17] Group 5: Talent Development and Education - Guangdong is implementing the "Million Talents Gather in South Guangdong" initiative to attract graduates and various talents, with over 1.2 million job openings identified [19] - The province has established 28 city-level industry-education joint bodies and 216 open regional industry-education integration practice centers [21]

Core Viewpoint - The Robotaxi market is becoming increasingly competitive, with Tesla and Volkswagen making significant strides in autonomous driving technology and deployment [2][4][20]. Group 1: Tesla's Robotaxi Launch - Tesla launched its highly anticipated Robotaxi service in Austin, Texas, with an initial deployment of about 10 vehicles, which led to an 8.23% increase in its stock price [3][4]. - The Robotaxi's performance has faced scrutiny, with reports of issues such as sudden braking and speeding [4][28]. - Tesla's Robotaxi is equipped with a pure vision system (HW 4.0) and claims an accident rate of only 0.15 per million kilometers, compared to Waymo's 1.16 [27]. Group 2: Volkswagen's Strategy - Volkswagen is testing approximately 30 Robotaxis in Hamburg, Germany, with plans to expand to the U.S. market by 2026 through a partnership with Uber [5][15]. - The company aims to remove safety drivers by 2027 in Europe, marking a significant milestone in its autonomous driving ambitions [6][21]. - Volkswagen's approach contrasts with Tesla's, as it collaborates with Mobileye for its autonomous driving system, while also integrating its software subsidiary Cariad for vehicle control [14][16]. Group 3: European Market Dynamics - Europe has been slower to adopt autonomous driving due to stricter regulations and a lack of local tech giants, but it is now accelerating efforts to innovate in the automotive sector [9][19]. - The European Union has introduced action plans to simplify testing processes for autonomous vehicles, aiming to boost the struggling automotive industry [18]. - Despite the challenges, Volkswagen's strategy is focused on competing in the U.S. market, where it will face direct competition from established players like Waymo and Tesla [20][32]. Group 4: Competitive Landscape - Waymo operates a fleet of 1,500 autonomous vehicles in cities like San Francisco and Phoenix, having completed over 10 million rides, but faces high per-vehicle costs as a barrier to commercialization [25][26]. - The collaboration between Uber and various autonomous driving partners, including Motional and WeRide, is shaping the Robotaxi ecosystem in major U.S. cities [23]. - Volkswagen's strategy emphasizes gradual expansion based on trust rather than rapid scaling, as stated by MOIA's CEO [31].

转自：北京日报客户端 小马智行也展出了第七代Robotaxi车型，全车搭载6大类34个传感器，包括9颗激光雷达、14颗摄像头、 4颗毫米波雷达，覆盖了从车身360°盲区到最远650米范围内的物体和环境检测，能应对各类场景和路 况。据介绍，小马智行L4级Robotaxi车队已经实现50万小时全场景、全天候、全无人运营，其安全性比 人类驾驶高出10倍。记者了解到，这款纯电动新车有望于今年下半年在北京上路。 超充设备能力更强更绿色 近年来，随着电动汽车的迅猛发展，充电设备也不断提升性能和智慧化水平。 在盛弘股份展位，一高一矮两台白色超充终端肩并肩，一台是800A风冷超充、一台是2000A液冷超充， 充电效率可提升30%。两台设备不远处，是一个"衣橱"般大小的"兆瓦级柔性共享超充堆"，整机输出功 率最高达到1600kW，兼容2-28把枪，最大程度满足多枪之间的功率调配。据介绍，这款产品已经在北 京落地应用。 新一代自动驾驶汽车，自动为电动汽车充电的机械臂，能力更强、更绿色的超充设备……7月1日至3 日，第十七届国际交通技术与设备展览会（简称国际交通展）在北京国家会议中心举办，一批交通领域 新技术扎堆儿亮相。记者从展会 ...

Core Viewpoint - Lyft is adopting a unique approach to the challenges posed by autonomous driving by involving drivers in the decision-making process through the establishment of the Driver Autonomous Forum, aiming to address the future of work and societal acceptance of Robotaxi deployment [4][5][6]. Group 1: Lyft's Strategy - Lyft has launched the Driver Autonomous Forum to engage experienced drivers in shaping Robotaxi policies and service planning, with the first group of drivers providing key insights before the launch of Lyft's autonomous service in Atlanta [10][11]. - The forum will focus on three main topics: Robotaxi policy formulation, deployment pacing, and exploring future roles for drivers, such as remote vehicle support and fleet management [11]. - Lyft's approach contrasts with competitors like Waymo and Tesla, which are pursuing more technology-driven paths, highlighting Lyft's emphasis on collaboration and community involvement [7][20]. Group 2: Industry Context - The rise of Robotaxi technology presents a paradox, as it promises efficiency and cost reduction while potentially threatening the livelihoods of gig economy workers [12][13]. - Analysts have warned that aggressive expansion of Robotaxi services could lead to significant job displacement for ride-hailing drivers in the U.S. [13]. - Lyft's strategy is seen as a "soft landing" approach, acknowledging the importance of human factors in the deployment of autonomous vehicles, such as safety, user acceptance, and emergency response [16][15]. Group 3: Competitive Landscape - Competitors like Tesla and Waymo are rapidly advancing their Robotaxi initiatives, with Tesla planning to scale its fleet significantly and Waymo expanding its service areas and vehicle numbers [21][24][25]. - Uber has shifted its strategy to a platform-based model, collaborating with multiple autonomous vehicle companies to create a diverse Robotaxi alliance [26]. - Lyft's focus on community and driver participation may provide a more sustainable path, allowing it to leverage its platform advantages while gaining policy support amid regulatory scrutiny [28][29]. Group 4: Future Implications - The real challenge in the Robotaxi era lies not in technology but in building trust and addressing societal concerns regarding employment and urban ethics [30]. - Lyft's Driver Autonomous Forum signals a rare bottom-up exploration approach, aiming to reintegrate drivers into the system rather than exclude them, though the effectiveness of this strategy in the face of aggressive competition remains to be seen [31].

Investment Rating - The investment rating for the automotive industry is "Positive" [5] Core Insights - Tesla's Robotaxi service had a successful initial operation in Austin, Texas, showcasing several technological highlights, although it lacked significant breakthroughs [2][4] - The operational area was limited to 77 square kilometers, and the service still required a safety driver, indicating that the technology is not yet fully autonomous [2][4] - The potential market for Robotaxi in the U.S. is estimated to exceed $60 billion, with $40 billion from ride-hailing and $20 billion from taxi services, where Tesla holds a competitive advantage over Waymo [13][18] Summary by Sections Event Description - Tesla launched its Robotaxi service with over 10 Model Y vehicles in a limited area of Austin, Texas, marking its first public test [1] Event Commentary - The initial operation was smooth, with good customer experience, but it was more of a demonstration than a significant technological advancement [2] - Limitations included a restricted operational area and the presence of a safety driver, with the software still based on an earlier version [2] Technical Insights - Tesla's technology architecture may utilize a hybrid approach combining general driver capabilities with local knowledge, potentially enhancing its adaptability [3] - The upcoming HW 5.0 hardware is expected to significantly improve the performance of the FSD 14.0 software, with enhanced computational power and memory capabilities [3] Market Impact - The initial operation is not expected to have a significant short-term impact on Tesla's sales or supply chain, with projected sales for Robotaxi in North America not exceeding 100,000 units by 2026 [4] - The anticipated sales for the Cybercab in 2027 could reach around 20,000 units, contingent on the successful development of the operational network [4]

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].

因此，2027年将被视为Robotaxi对网约车市场带来"轻微"冲击的起点。届时，网约车司机和平台盈利模式将面临严峻挑战。 美国网约车市场正步入一个由Robotaxi引发的"冷战"时代。 据追风交易台消息，巴克莱研究团队26日发布的研报显示，尽管目前Uber和Lyft等网约车巨头正积极与Waymo等Robotaxi公司合作以缓解短期担 忧，但预计到2027年，Robotaxi的大规模部署将开始对传统网约车行业构成实质性威胁。 研究发现，每11000辆Robotaxi投入运营，就能夺取美国网约车10%的城市-机场市场份额。而要实现对网约车市场20%的冲击，需要Robotaxi车队 规模达到2.2万辆；要达到50%的市场份额则需5.54万辆，这远超2026年的预期规模且受限于当前车辆供应瓶颈。 Waymo加州数据：揭示Robotaxi运营现实 网约车渗透率仍然偏低，为机器人出租车让出空间 尽管网约车行业发展超过十年，但在美国个人出行市场的渗透率仍不足2%。 巴克莱研究数据显示，2026年美国个人车辆出行预计高达1454亿次，而网约车出行仅占29.1亿次。 巴克莱的分析深入Waymo在加州的运营数据。Waymo目前 ...

（文/观察者网周盛明 编辑/高莘）当地时间6月22日，特斯拉的Robotaxi（无人驾驶出租车）正式在美国 得克萨斯州奥斯汀市开始运营。 特斯拉Robotaxi 路透社 值得注意的是，特斯拉对于Robotaxi的运营显现出极大的谨慎。目前，叫车需要下载特斯拉Robotaxi App，App目前仅对特斯拉邀请的媒体和网红开放，首批受邀用户仅20人左右。 据悉，首批投入运营的特斯拉Robotaxi车队有35辆，全部为特斯拉的Model Y。目前，该服务仅在奥斯 汀南部的一小片区域开放叫车服务，价格统一为4.2美元/单（约合人民币30元），运营时间为早上6点 至晚上12点。 特斯拉Robotaxi运营范围 社交媒体X 乘客在上车后需要落座后排，在点击后排屏幕上的"开始行程"按钮后，车辆会按照导航行驶。通过 Robotaxi App，乘客可以调节空调、座椅，后排屏幕也有音乐、视频等流媒体内容供乘客观看。 特斯拉Robotaxi一次收费4.2美元（约合人民币30元） 社交媒体X 为了确保安全，特斯拉此次运营不允许搭载18岁以下的乘客，并且副驾驶还配备了一名人类安全员。 特斯拉Robotaxi配备副驾驶安全员 社交媒体X ...

撰文 / 张霖郁 设计 / 张 萌 "我曾旁听过咨询公司组织的专家团与华尔街投行的一个付费电话会议，时长1小时，他们当时想了解Cybertruck是否能成功，那些专家说成功不了。"美国经 济学教授迈克尔·斯米奇卡（Mike Smitka）在国内某个论坛独家采访中告诉汽车商业评论。 斯米奇卡毕业于哈佛大学，之后在耶鲁大学获经济学博士学位，他是美国华盛顿与李大学（Washington and Lee University）的经济学荣誉退休教授，研究方 向包括现代日本与中国经济以及全球汽车产业。 他并不看好Robotaxi的商业前景，认为这是一个不断赔钱的商业模式。 "据我所知，特斯拉内部的资深管理层同样反对"，他说，"目前Robotaxi的运营模式，成本太高。初期资金投入非常大，但市场规模小；第二，Robotaxi市场 规模有限，某些场景，大家仍需带司机的出租车，比如需要帮忙提行李的老人；第三，如果打车成本下降，同时也意味着低利润，另外如果特斯拉自己造机 器人清洁，进行日常维护，又增加新的成本；第四，关于Robotaxi能拓展车内的消费场景，目前尚未证实其可行性；第五，未来能活下来的公司，背后一定 有一个烧得起这 ...