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Autonomous Driving Players Chaos Map

案列来源：【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

信息图 & 科普视觉openai/gpt-image-2#信息图 & 科普视觉#极简主义#图解 & 图表#文字 & 排版#创意

Generates a Japanese consulting-style chaos map infographic showing major global autonomous driving companies, ecosystem layers, enabling technologies, and executive takeaways.

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{"type":"Japanese business infographic chaos map","language":"Japanese","canvas":"16:9 landscape white background with navy blue title typography, thin gray grid lines, rounded rectangular panels, corporate consulting-slide aesthetic","title":"{argument name=\"main title\" default=\"世界の主要自動運転プレイヤー　カオスマップ\"}","subtitle":"{argument name=\"subtitle\" default=\"－自動運転エコシステムの全体像－\"}","top_banner":"{argument name=\"top banner text\" default=\"自動運転の覇権は「車」から「運行OS＋データ」へ\"}","layout":{"main_area":"large three-row matrix occupying the upper two thirds, with dark navy vertical tier labels at far left and company cards arranged horizontally","bottom_area":"ecosystem structure diagram on the left and key takeaways box on the right","right_sidebar":"orange-titled supporting technology and data providers panel spanning the Tier2 and OEM rows"},"main_sections":[{"title":"① Tier1","position":"top row","left_label":"覇権争いの中核（最重要プレイヤー）","count":16,"subgroups":[{"title":"米国：プラットフォーム型（AI主導）","count":4,"companies":["Waymo","Tesla","Zoox","Cruise"]},{"title":"中国：都市インフラ一体型（国家＋都市OS型）","count":4,"companies":["Baidu Apollo","Pony.ai","WeRide","AutoX"]},{"title":"欧州・半導体系（技術基盤の中核）","count":5,"companies":["Mobileye","NVIDIA","BOSCH","Continental"]}],"card_style":"each card has a recognizable logo at top, company name below, and 2 to 4 compact Japanese bullet points describing strategy and strengths"},{"title":"② Tier2","position":"middle row","left_label":"有力スタートアップ・準主役プレイヤー","count":8,"companies":["Aurora Innovation","Nuro","May Mobility","Motional","Wayve","Scale AI","Einride"],"card_style":"white company cards with logos and short Japanese bullet notes about trucks, delivery robots, shuttles, end-to-end AI, annotation, and logistics"},{"title":"③ 自動車OEM側","position":"lower row","left_label":"（日本企業の競争領域）","count":8,"companies":["TOYOTA","Mercedes-Benz","Volkswagen","Hyundai Motor Group","General Motors","Nissan","Honda"],"card_style":"white OEM cards with logos and Japanese bullet points about Woven/TRI, Drive Pilot, Cariad, Motional, Cruise, ProPILOT, Honda SENSING"}],"right_sidebar":{"title":"共通の技術・データ基盤を支えるプレイヤー","position":"right side","count":4,"categories":[{"label":"高精度地図・ロケーション","count":4,"items":["HERE","HEXAGON","mapbox","tomtom"]},{"label":"センサー・LiDAR","count":4,"items":["Velodyne Lidar","LUMINAR","HESAI","INNOVIZ TECHNOLOGIES"]},{"label":"データ・クラウド・通信","count":3,"items":["aws","Microsoft Azure","Google Cloud"]},{"label":"シミュレーション・開発支援","count":3,"items":["dSPACE","Ansys","foretellix"]}]},"bottom_left":{"title":"自動運転エコシステムの4層構造","position":"bottom left","diagram":"four stacked trapezoid layers in blue, green, yellow, and purple with white icons","count":4,"layers":[{"label":"① AI・OS層（頭脳）","description":"自動運転の知能・判断・学習を担う中核層","examples":"Waymo / Tesla / Baidu / NVIDIA / Mobileye など"},{"label":"② 運行サービス層（サービス）","description":"人やモノを運ぶサービスを提供する層","examples":"Robotaxi（Waymo / Baidu / Pony.ai）/ 配送（Nuro）/ トラック（Aurora）など"},{"label":"③ 車両層（プラットフォーム）","description":"自動運転車両の開発・製造を担う層","examples":"トヨタ / VW / Hyundai / GM / その他OEM"},{"label":"④ 部品・半導体層（基盤技術）","description":"センサー・半導体・制御技術などを提供する層","examples":"Mobileye / NVIDIA / Bosch / Continental / 各種サプライヤー"}]},"bottom_right":{"title":"経営者向け示唆（Key Takeaways）","position":"bottom right","count":3,"takeaways":["勝者は『自動車メーカー』ではない", "真の競争軸", "日本企業の選択肢"],"details":"include Japanese check-mark bullets explaining Waymo/Baidu/Tesla leadership, data/simulation/urban infrastructure integration, and Japanese company options A NVIDIA/Waymo, B build own OS, C use Chinese urban integration"},"footer":"small gray note at bottom: ※ 本カオスマップは主要プレイヤーの一例を示したものであり、すべての企業を網羅しているものではありません。（2024年5月時点）","style":"dense but clean Japanese corporate strategy slide, authentic company logos, consistent spacing, navy headers, colored category bands, small readable sans-serif text, crisp vector-like design, high-resolution presentation infographic","customization":"{argument name=\"date note\" default=\"2024年5月時点\"}"}