
Infografía / Educación
Infografía del mapa de la conducción autónoma
Genera una infografía estilo consultoría japonesa con el ecosistema global de la conducción autónoma. Modifica tarjetas de empresas o capas de la arquitectura.
infografíaconducción autónomamapa de mercadodiapositivaestilo consultoríaestrategia corporativa
Explorar prompts similaresPrompts de AI de Infografía
Prompt
{
"type": "Japanese business infographic chaos map",
"language": "Japanese",
"canvas": "16:9 landscape white background with navy blue title typography, subtle gray grid lines, rounded rectangular cards, corporate consulting slide aesthetic",
"title": "[世界の主要自動運転プレイヤー カオスマップ]",
"subtitle": "[-自動運転エコシステムの全体像-]",
"top_banner": "[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 upper two-thirds, with dark navy vertical tier tags on the far left and organized company cards horizontally",
"bottom_area": "ecosystem structural layer diagram on the left and key takeaways panel on the right",
"right_sidebar": "orange-accented supporting technology and data infrastructure panel flanking the Tier 2 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)",
"subgroups": [
{
"title": "米国:プラットフォーム型(AI主導)",
"companies": [
"Waymo",
"Tesla",
"Zoox",
"Cruise"
]
},
{
"title": "中国:都市インフラ一体型(国家+都市OS型)",
"companies": [
"Baidu Apollo",
"Pony.ai",
"WeRide",
"AutoX"
]
},
{
"title": "欧州・半導体系(技術基盤の中核)",
"companies": [
"Mobileye",
"NVIDIA",
"BOSCH",
"Continental"
]
}
],
"card_style": "white card with authentic brand logo at top, company name, and 2-4 concise Japanese strategic bullet points"
},
{
"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",
"companies": [
"Aurora Innovation",
"Nuro",
"May Mobility",
"Motional",
"Wayve",
"Scale AI",
"Einride"
],
"card_style": "white company cards with clear logos and Japanese micro-bullet text on delivery robots, shuttles, end-to-end AI, and logistics"
},
{
"title": "③ 自動車OEM側",
"position": "lower row",
"left_label": "(日本企業の競争領域)",
"companies": [
"TOYOTA",
"Mercedes-Benz",
"Volkswagen",
"Hyundai Motor Group",
"General Motors",
"Nissan",
"Honda"
],
"card_style": "white automotive OEM cards with logos and Japanese strategic notes on proprietary driving platforms"
}
],
"right_sidebar": {
"title": "共通の技術・データ基盤を支えるプレイヤー",
"categories": [
{
"label": "高精度地図・ロケーション",
"items": [
"HERE",
"HEXAGON",
"mapbox",
"tomtom"
]
},
{
"label": "センサー・LiDAR",
"items": [
"Velodyne Lidar",
"LUMINAR",
"HESAI",
"INNOVIZ TECHNOLOGIES"
]
},
{
"label": "データ・クラウド・通信",
"items": [
"aws",
"Microsoft Azure",
"Google Cloud"
]
},
{
"label": "シミュレーション・開発支援",
"items": [
"dSPACE",
"Ansys",
"foretellix"
]
}
]
},
"bottom_left": {
"title": "自動運転エコシステムの4層構造",
"diagram": "four stacked trapezoid tiers in blue, green, yellow, and purple with minimalist white iconography",
"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)",
"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": "clean check-mark bullet list analyzing software leadership, data/simulation infrastructure, and strategic paths for Japanese OEMs"
},
"footer": "small gray footnote: ※ 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 and crisp Japanese corporate consulting slide, sharp vector typography, distinct logo branding, restrained palette of navy, slate gray, and subtle accent colors"
}Qué puedes personalizar
Antes de generar, cambia estas partes del prompt por tu propio tema o texto.
[世界の主要自動運転プレイヤー カオスマップ]marcador[-自動運転エコシステムの全体像-]marcador[自動運転の覇権は「車」から「運行OS+データ」へ]marcador[2024年5月時点]marcador
Detalles del prompt
- Categoría
- Infografía / Educación
- Modelo
- GPT IMAGE 2
- Costo por imagen
- 1K: 43 créditos · 2K: 86 créditos · 4K: 143 créditos
- Relación de aspecto
- 16:9
- Añadido