自动驾驶行业玩家全景图

编辑提示词

完整提示词

{"type":"日式商业信息图全景图","language":"中文","canvas":"16:9 横向白底，海军蓝标题字体，细灰色网格线，圆角矩形面板，企业咨询 Slides 美学","title":"{argument name=\"main title\" default=\"全球主要自动驾驶玩家全景图\"}","subtitle":"{argument name=\"subtitle\" default=\"－自动驾驶生态系统全貌－\"}","top_banner":"{argument name=\"top banner text\" default=\"自动驾驶的霸权已从“车辆”转向“运行 OS + 数据”\"}","layout":{"main_area":"上方三分之二处为大型三行矩阵，最左侧为深海军蓝垂直层级标签，公司卡片水平排列","bottom_area":"左侧为生态系统结构图，右侧为关键洞察框","right_sidebar":"橙色标题的支撑技术与数据提供商面板，横跨 Tier2 和 OEM 行"},"main_sections":[{"title":"① Tier1","position":"顶行","left_label":"霸权争夺的核心（最重要玩家）","count":16,"subgroups":[{"title":"美国：平台型（AI 主导）","count":4,"companies":["Waymo","Tesla","Zoox","Cruise"]},{"title":"中国：城市基础设施一体化型（国家 + 城市 OS 型）","count":4,"companies":["Baidu Apollo","Pony.ai","WeRide","AutoX"]},{"title":"欧洲与半导体系（技术基础的核心）","count":5,"companies":["Mobileye","NVIDIA","BOSCH","Continental"]}],"card_style":"每张卡片顶部有可识别的 Logo，下方为公司名称，并附带 2 至 4 条简洁的中文要点，描述其战略与优势"},{"title":"② Tier2","position":"中行","left_label":"有力初创企业与准主力玩家","count":8,"companies":["Aurora Innovation","Nuro","May Mobility","Motional","Wayve","Scale AI","Einride"],"card_style":"白色公司卡片，带有 Logo 和简短的中文要点，涵盖卡车、配送机器人、班车、端到端 AI、数据标注及物流"},{"title":"③ 汽车 OEM 侧","position":"底行","left_label":"（日本企业的竞争领域）","count":8,"companies":["TOYOTA","Mercedes-Benz","Volkswagen","Hyundai Motor Group","General Motors","Nissan","Honda"],"card_style":"白色 OEM 卡片，带有 Logo 和中文要点，涵盖 Woven/TRI、Drive Pilot、Cariad、Motional、Cruise、ProPILOT、Honda SENSING"}],"right_sidebar":{"title":"支撑通用技术与数据基础的玩家","position":"右侧","count":4,"categories":[{"label":"高精度地图与定位","count":4,"items":["HERE","HEXAGON","mapbox","tomtom"]},{"label":"传感器与 LiDAR","count":4,"items":["Velodyne Lidar","LUMINAR","HESAI","INNOVIZ TECHNOLOGIES"]},{"label":"数据、云与通信","count":3,"items":["aws","Microsoft Azure","Google Cloud"]},{"label":"仿真与开发支持","count":3,"items":["dSPACE","Ansys","foretellix"]}]},"bottom_left":{"title":"自动驾驶生态系统的四层结构","position":"左下","diagram":"四个堆叠的梯形层，分别为蓝、绿、黄、紫色，带有白色图标","count":4,"layers":[{"label":"① AI 与 OS 层（大脑）","description":"负责自动驾驶的智能、判断与学习的核心层","examples":"Waymo / Tesla / Baidu / NVIDIA / Mobileye 等"},{"label":"② 运行服务层（服务）","description":"提供人员或货物运输服务的层级","examples":"Robotaxi（Waymo / Baidu / Pony.ai）/ 配送（Nuro）/ 卡车（Aurora）等"},{"label":"③ 车辆层（平台）","description":"负责自动驾驶车辆开发与制造的层级","examples":"丰田 / VW / Hyundai / GM / 其他 OEM"},{"label":"④ 零部件与半导体层（基础技术）","description":"提供传感器、半导体、控制技术等的层级","examples":"Mobileye / NVIDIA / Bosch / Continental / 各类供应商"}]},"bottom_right":{"title":"高管洞察（Key Takeaways）","position":"右下","count":3,"takeaways":["赢家并非“汽车制造商”", "真正的竞争轴心", "日本企业的选择"],"details":"包含中文勾选符号要点，解释 Waymo/Baidu/Tesla 的领先地位、数据/仿真/城市基础设施一体化，以及日本企业的选项：A 采用 NVIDIA/Waymo，B 自建 OS，C 采用中国式城市一体化方案"},"footer":"底部灰色小字：※ 本全景图仅展示了主要玩家示例，并未涵盖所有企业。（截至 2024 年 5 月）","style":"紧凑而整洁的日式企业战略 Slides，真实的品牌 Logo，一致的间距，海军蓝标题，彩色分类带，小巧易读的无衬线字体，清晰的矢量风格设计，高分辨率演示信息图","customization":"{argument name=\"date note\" default=\"截至 2024 年 5 月\"}"}

带入创作工作台

仅带入描述，不会自动生成。参考图与编辑模式请先上传或选中原图。

来源与说明

由【X速報】経営者が読むNVIDIAのフィジカルAI / ADAS業界日報 by 今泉大輔发布，经 YouMind 收录。提示词与图片权利归原作者及相应平台。

此案例需要参考图片，请在创作工作台中上传后再使用。

查看原始来源 ↗ · 作者主页