让合作伙伴在这片"黑土地"上找到属于自己的生长空间。 当汽车越来越智能，它能否真正让出行全流程变得更轻松？ 今年8月，华为乾崑智驾系统搭载量已突破100万辆，而去年10月，这一数字仅为30万辆。 规模增长的背后，是用户对智能驾驶依赖度的持续提升。根据华为乾崑披露的数据，目前乾崑智驾活跃用 户比例已经达到95.2%。"今年是我们整个智能驾驶大幅增长的一年。"引望智能驾驶产品线总裁李文广在 第一届自动驾驶出行生态论坛上透露。 当越来越多的用户习惯将驾驶任务交给系统，他们对智能汽车的期待也在悄然变化：车辆既然能自己开， 为何不能自主完成停车、充电、养护等一系列衍生需求？ 在论坛上，李文广首次展示了华为乾崑的解决方案——乾崑智驾生态开放平台，他们希望将它打造成未来 自动驾驶出行生态的"操作系统"，让服务像应用一样，在统一的土壤上生长。 这一平台的出现，源于行业演进到新阶段的需求。当单车智能达到一定水平后，如何打通行车、停车、充 电等独立的场景，成为用户体验提升的关键。 随着智能驾驶在不同价位车型中得到应用，构建开放平台的条件逐渐成熟。生态平台的价值在于连接，让 不同领域的服务商能够基于统一标准参与进来，共同解决用户在 ...

"2026年将实现高速L3级自动驾驶规模商用，2027年实现城区L4级规模商用。"在日前举办的第一届自动驾驶出行生态论坛上， 华为引望智能驾驶产品线总裁李文广如是预测。 论坛发布的《自动驾驶出行生态2025白皮书》指出，现阶段中国电动汽车的智能化发展正处在从 L2 级辅助驾驶大规模普及，向 L3级有条件自动驾驶实现商业化突破的关键阶段过渡。 生态共建已开始落地，但真正的价值重构才刚刚开始。 白皮书提到，自动驾驶的快速发展，正推动汽车从单纯的交通工具向更具智能的移动生活空间转型。这意味着，8万亿元的价值 将重新分配，催生新巨头与商业模式，而生态共建者将成为赢家。 华为引望在论坛现场发布了"乾崑智驾生态开放平台"，并配套建设智驾生态 OpenLab，开放行业套件供生态伙伴集成开发，为 行业生态提供解决方案。该平台计划覆盖停车、充电、保养、保险、送货等一系列车生活服务。 充电网络首当其冲。万邦数字能源CEO李宏庆在论坛现场分享称，自动驾驶时代到来时，自动充电应该打通自动泊入、自动插 枪、即插即充、无感支付、自驶离，手动到自动的跃升。这意味着，充电行业将从现在"人找桩"的模式彻底转变为"车找电"的 智能化解决方案。 ...

Group 1 - The core theme of the forum was to discuss the construction path and future trends of the autonomous driving mobility ecosystem, emphasizing the need for service upgrades in the automotive aftermarket driven by user experience [1][2] - Tuhu Car has established over 7,200 service centers across China, covering 150 million registered users, creating a comprehensive digital system that integrates supply chain, store management, work order execution, and customer interaction [1][2] - The collaboration between Tuhu and Huawei aims to develop an intelligent service network that transitions automotive services from standardization to intelligence, leveraging deep integration of autonomous driving cloud, vehicle-machine ecosystem, and service fulfillment systems [2][3] Group 2 - Tuhu Car envisions a future where automotive services become more automated, with vehicles autonomously completing tasks such as refueling, cleaning, and inspections, supported by intelligent hardware like sensors and LiDAR [2] - The company is committed to embracing cutting-edge technologies, including fully automated smart warehouses, unmanned vehicle delivery trials, AI customer service, and blockchain traceability, to enhance service experience [3] - The forum also launched the "Autonomous Driving Mobility Ecosystem Co-construction Action," with Tuhu Car as a key participant, contributing to the development and improvement of China's autonomous driving service network [3]

中国经济网11月10日讯(记者 郭跃)11月7日，以"共建自动驾驶新生态共创自动驾驶新价值"为主题 的第一届自动驾驶出行生态论坛在深圳举办。 论坛现场紧扣产业痛点与前沿趋势，围绕自动驾驶生态构建展开探讨。主题演讲环节，车百会理事 长张永伟发表《汽车产业竞争力新三角与"两化" 协同发展》主题演讲。他表示，服务生态正在成为继 汽车制造、数字与AI技术以外的汽车产业第三大竞争力。汽车服务业到2028年将形成超8万亿的市场规 模，成为第二个汽车产业。智能化将是汽车服务业的重要发展方向。应当通过利用数字与AI技术，依 托自动驾驶企业牵引生态聚合，建立试点示范，打造全国性国际化的服务商来推动汽车智能化与服务智 能化协同发展。 在"打通自动驾驶出行生态"专题讨论中，引望智能驾驶产品线总裁李文广表示："全球正加速推进 自动驾驶产业走向商用，中国也在多城市有序推进自动驾驶商用进程，预计2026年实现高速L3规模商 用，2027年实现城区L4规模商用，2028年实现无人干线物流商用。" 在充电行业，最终实现自动充电，自主选择在电价低谷时前往最优充电站，进一步提升运营商运营 效率；甚至在未来成为移动的储能单元，实现车与能源网络的动 ...

Core Insights - The automotive industry's next competitive focus is shifting towards autonomous driving, driven by advancements in technology and the need for a comprehensive mobility ecosystem [1][2] - A complete ecosystem for autonomous driving includes collaboration across various sectors such as parking, charging, maintenance, and insurance [1][2] Industry Trends - Data indicates a significant increase in the adoption rate of advanced driver-assistance systems (ADAS) in China, with a notable transition from L2 to L3 conditional automation expected between 2025 and 2027 [2][3] - The automotive industry's competitiveness is evolving from traditional manufacturing capabilities to a new model that integrates automotive technology, digital and AI technologies, and automotive services [2] Ecosystem Development - The successful implementation of autonomous driving relies on the support of surrounding ecosystems, including parking, charging, and maintenance services [4] - Parking facilities are identified as critical for autonomous driving, necessitating a shift from human-centric to vehicle-centric designs to enhance operational efficiency [4] - Charging infrastructure must evolve to address current challenges, with a focus on automation and user experience improvements, such as seamless payment and automated charging processes [4] Service Innovations - The automotive service ecosystem is expected to undergo significant changes, including full automation of basic services, intelligent hardware upgrades, proactive service models, and personalized maintenance plans based on user data [5][6] - Collaboration among various stakeholders, including manufacturers, tech companies, and service providers, is essential for creating a seamless autonomous driving ecosystem [6]

Core Insights - The first Autonomous Driving Mobility Ecosystem Forum was held in Shenzhen, marking a shift in industry focus from "technological breakthroughs" to "ecosystem co-construction" [1] - The automotive service ecosystem is emerging as the "third competitiveness" in the automotive industry, alongside manufacturing and digital/AI technologies [1] - By 2028, the market size of China's automotive service industry is expected to exceed 8 trillion yuan, with smart services being a key development direction [1] Group 1 - Zhang Yongwei, Chairman of the Automotive Hundred Association, predicts that the automotive service ecosystem will become a major competitive factor in the industry [1] - Li Wenguang, President of the Intelligent Driving Product Line at Yingwang, forecasts the commercial rollout of L3 autonomous driving on highways by 2026, L4 in urban areas by 2027, and unmanned logistics by 2028 [1] - Yingwang plans to launch the Qiankun Intelligent Driving Ecosystem Open Platform and establish the Intelligent Driving Ecosystem OpenLab to support ecosystem development [1] Group 2 - The report "Autonomous Driving Mobility Ecosystem 2025" outlines how autonomous driving will reshape various service sectors, including autonomous parking, charging during off-peak hours, and seamless maintenance scheduling [2] - The insurance sector will see a fundamental shift in risk assessment from driver-based evaluations to assessments based on machine driving algorithms and operational environments [2] - Industry representatives agree that building an autonomous driving ecosystem is a systematic project requiring collaboration among policies, standards, enterprises, and users, moving from "technical trials" to "scalable implementation" [2]

Core Insights - The forum focused on building a new ecosystem for autonomous driving and creating new value in the industry [1][4] - Key industry leaders and experts gathered to discuss trends and challenges in the autonomous driving sector [3][6] Industry Trends - The automotive service sector is projected to reach a market size of over 8 trillion yuan by 2028, becoming the second largest segment of the automotive industry [4] - The integration of digital and AI technologies is essential for the development of intelligent automotive services [4] Autonomous Driving Development - The timeline for commercializing autonomous driving includes L3 level by 2026, L4 level in urban areas by 2027, and fully autonomous logistics by 2028 [5] - The establishment of an open platform for ecological partners is planned to support the development and integration of autonomous driving technologies [5] Application Value - The report "Autonomous Driving Mobility Ecosystem 2025" outlines the application value of autonomous driving in various sectors, including parking, charging, vehicle maintenance, real estate, insurance, and public transport [7][8][9] - In parking, the solution aims to eliminate the challenge of finding parking spaces and improve resource utilization [8] - In charging, autonomous vehicles will be able to choose optimal charging stations based on electricity prices, enhancing operational efficiency [8] - The insurance sector will evolve to utilize lifecycle data from autonomous systems for risk assessment, promoting a healthier development of autonomous driving [9] Collaborative Efforts - The forum served as a platform for cross-industry collaboration, emphasizing the need for policy, standards, and multi-party engagement in building the autonomous driving ecosystem [6][9] - The launch of the "Autonomous Driving Mobility Ecosystem Co-construction Action" signifies a collective effort to advance the industry [7]

Core Insights - The automotive industry's next competitive focus will shift towards autonomous driving as technology matures, market penetration increases, and standards are refined [1] - A complete ecosystem for autonomous driving, including parking, charging, and maintenance services, is essential for enhancing user acceptance and convenience [1] - The "First Autonomous Driving Mobility Ecosystem Forum" will be held to discuss the establishment of a comprehensive ecosystem and related policies [2] Group 1 - The forum will address six key topics, including how to build an ecosystem around autonomous driving to enhance user engagement [2] - It will explore the implementation of autonomous driving applications in designated areas, such as parking and charging [2] - The event will also cover the current state and challenges in the charging sector, including autonomous charging solutions [2] Group 2 - In the parking sector, discussions will focus on autonomous valet parking and online management of parking facilities [2] - The forum will examine how to create insurance products that cover all aspects of autonomous driving [2] - A white paper titled "2025 Autonomous Driving Mobility Ecosystem" will be released, marking a new chapter in industry ecosystem development [2]

Core Insights - JD.com is strategically entering the automotive industry by applying for the Joyrobotaxi trademark, indicating a comprehensive approach that includes hardware, technology, and services [1][3][5] - The trademark registration reflects a systematic planning for autonomous driving and transportation services, similar to Meituan's strategy in 2017 [3][5] - JD.com aims to leverage its logistics and data capabilities to enhance the efficiency of its Robotaxi service, differentiating itself from competitors like Baidu and Didi [11][13][14] Group 1: Strategic Moves - JD.com has initiated partnerships with various automotive companies, including a 500 million yuan strategic cooperation with BYD to promote electric vehicle trade-ins [5][15] - The company is focusing on building a retail ecosystem that integrates online car purchasing with offline experiences, aiming to create a seamless customer journey [15][17] - JD.com is also exploring the automotive after-market, with plans to establish a service network for maintenance and battery recycling [15][17] Group 2: Competitive Landscape - The autonomous driving market is highly competitive, with established players like Baidu and Didi already having significant operational data and technology [14][22] - JD.com’s unique advantage lies in its logistics data, which can optimize Robotaxi operations and improve service efficiency [11][13] - The company’s approach contrasts with competitors who focus on manufacturing vehicles, as JD.com emphasizes service integration and ecosystem development [19][22] Group 3: Leadership and Vision - JD.com’s founder, Liu Qiangdong, is steering the company towards a service-centric model, moving away from traditional e-commerce to a comprehensive service platform [19][21] - The company’s strategy reflects a shift in focus from product manufacturing to defining the usage of vehicles, positioning itself as an enabler in the automotive ecosystem [21][24] - JD.com’s ambition in the automotive sector is part of a broader transformation aimed at enhancing user experience and integrating various service offerings [19][24]