IT之家 2 月 1 日消息，华为乾崑智能汽车解决方案官方昨日宣布，华为乾崑车云 DVR 行车记录仪功能 全新升级，新增双前侧视角，可实现 6 路视野无死角。 IT之家注意到，华为乾崑智能汽车解决方案还公布了华为乾崑智驾 ADS 4.1、鸿蒙座舱 HarmonySpace 5 的升级亮点。 新增 0 支持eAES *防夹心 预防后方夹击风险 eAES性能增强 全目标安全守护 自车跟车驾驶中,若前方有碰撞风险,且识别到后 方车辆快速接近有追尾风险时,在旁车道有变道空 间的情况下,系统会辅助自车主动变道,降低被夹 击的风险。 *eAES: enhanced Automatic Emergency Steering增强型自动紧急转向辅助。 在紧急情况下,系统辅助车辆自动进行转向操作,以降低碰撞风险。 TL 474 4 系统进一步增强对水马、锥桶等通用障碍物的识别 和避障能力。在中高速行驶时,当预判AEB制动无 法避免碰撞时,eAES会介入辅助转向,降低碰撞 风险。 新增 ● | 人驾防御性驾驶 护航急弯与路口 | 加小上一 在 ( + + + + === l 人马ላ芯卜,ヨ杀犹则判到丰洲以同达八弓,以削 方路口有横 ...

IT之家注意到，他还透露华为乾崑 ADS 4.1 即将推送。另外，2026 年还会推出 ADS 5 以及鸿蒙座舱 6。 IT之家 1 月 16 日消息，在今日举行的华为乾崑媒体日 上，华为智能汽车解决方案 BU CEO 靳玉志透露，2026 年，预计搭载华为 ADS 车型数超过 80 款，累计车型搭 载量预计约 300 万辆。 靳玉志分享了 2025 年华为乾崑用户使用数据： IT之家注意到，他还透露华为乾崑 ADS 4.1 即将推送。另外，2026 年还会推出 ADS 5 以及鸿蒙座舱 6。 IT之家 1 月 16 日消息，在今日举行的华为乾崑媒体日上，华为智能汽车解决方案 BU CEO 靳玉志透 露，2026 年，预计搭载华为 ADS 车型数超过 80 款，累计车型搭载量预计约 300 万辆。 靳玉志分享了 2025 年华为乾崑用户使用数据： 辅助驾驶里程 54.2 亿公里 累计避免可能的碰撞 212 万次 辅助泊车 3.3 亿次 辅助驾驶活跃用户占比 98% 智慧助手唤醒 26 亿次 无缝流转 1.32 亿次 照明光毯开启 2434 万次 晕车舒缓开启 343 万次 辅助驾驶里程 54.2 亿公里 累计 ...

Core Insights - Huawei's HarmonyOS cockpit has reached 1.34 million users, achieving the highest brand recognition and an average NPS of 93.6% [1] Group 1: Product Development - The HarmonyOS cockpit has entered the L3 era, enhancing capabilities in perception, understanding, connectivity, memory, decision-making, and execution [1] - The intelligent cockpit is categorized into levels: L1 (Instruction Assistant), L2 (Task Assistant), L3 (Professional Assistant), L4 (Exclusive Butler), and L5 (Digital Superman) [1] Group 2: Technical Features - HarmonySpace 5, based on the new MoLA architecture, includes over 30 new features such as a 3D smart control desktop and intercom capabilities for inside and outside the vehicle [1]

Group 1 - Alibaba-backed Banma plans to list shares on the Hong Kong Stock Exchange, with Alibaba owning about 45% and retaining over 30% control post-listing [1] - Banma, founded in 2015 and based in Shanghai, focuses on developing smart cockpit solutions for vehicles [2] - Alibaba is deepening its partnership with BMW in China, utilizing Banma's technology to build an artificial intelligence engine for cars [2] Group 2 - Banma is also supported by other investors, including SAIC Motor, SDIC Investment Management, and Yunfeng Capital [2] - Alibaba previously described Banma as a joint venture with SAIC Motor [3]

Group 1 - The Fuzhou New Area has established itself as a hub for digital economy, with over 800 billion data entries collected and 127 data products listed for trading, generating over 2 billion yuan in revenue for upstream and downstream enterprises [1] - The area has built significant computing power infrastructure, with plans for 73,000 server cabinets and 15,000 already constructed, achieving an AI computing power of 2,550P and supercomputing power of 60 million trillion calculations per second [1] - Fuzhou New Area has developed multiple digital public service platforms, including eight digital platforms and five industrial internet platforms, enhancing its digital ecosystem [1] Group 2 - The New Area is witnessing rapid growth in the Internet of Things (IoT) sector, with a strong industrial cluster generating over 80 billion yuan in annual output, supported by local companies like Newland Technology Group and Xiangyun Co., which are innovating in sensor technology and battery testing [2] - Fuzhou New Area is advancing in smart transportation by launching a digital vehicle city and becoming the first in Fujian Province to establish a large-scale intelligent connected road area, facilitating autonomous driving applications [2] - In the healthcare sector, the New Area is promoting the development of medical big data and collaborating with various institutions to implement AI in gene testing and healthcare systems [2] Group 3 - NetDragon Websoft is leveraging AI to transform global education, impacting over 150 million users across 192 countries and regions [3] - Fuzhou New Area aims to capitalize on the new technological revolution and industrial transformation by focusing on differentiated and specialized development, emphasizing application scenarios and ecosystem construction [3] - The area is building a comprehensive digital economy industry chain that integrates computing power, models, applications, and ecosystems to enhance industrial competitiveness [3]