GPT Image 2Prompt de IA
Autonomous Driving Chaos Map — Sora 2 Prompt
Create a Japanese consulting-style chaos map infographic of global autonomous driving players, ecosystem layers, technologies, and strategic takeaways.
PROMPT · EN
type
Japanese business infographic chaos maplanguage
Japanesecanvas
16:9 landscape white background with navy blue title typography, thin gray grid lines, rounded rectangular panels, corporate consulting-slide aesthetictitle
{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 horizontallybottom_area
ecosystem structure diagram on the left and key takeaways box on the rightright_sidebar
orange-titled supporting technology and data providers panel spanning the Tier2 and OEM rowsmain_sections
item 1
title
① Tier1position
top rowleft_label
覇権争いの中核（最重要プレイヤー）count
16subgroups
item 1
title
米国：プラットフォーム型（AI主導）count
4companies
item 1
Waymoitem 2
Teslaitem 3
Zooxitem 4
Cruiseitem 2
title
中国：都市インフラ一体型（国家＋都市OS型）count
4companies
item 1
Baidu Apolloitem 2
Pony.aiitem 3
WeRideitem 4
AutoXitem 3
title
欧州・半導体系（技術基盤の中核）count
5companies
item 1
Mobileyeitem 2
NVIDIAitem 3
BOSCHitem 4
Continentalcard_style
each card has a recognizable logo at top, company name below, and 2 to 4 compact Japanese bullet points describing strategy and strengthsitem 2
title
② Tier2position
middle rowleft_label
有力スタートアップ・準主役プレイヤーcount
8companies
item 1
Aurora Innovationitem 2
Nuroitem 3
May Mobilityitem 4
Motionalitem 5
Wayveitem 6
Scale AIitem 7
Einridecard_style
white company cards with logos and short Japanese bullet notes about trucks, delivery robots, shuttles, end-to-end AI, annotation, and logisticsitem 3
title
③ 自動車OEM側position
lower rowleft_label
（日本企業の競争領域）count
8companies
item 1
TOYOTAitem 2
Mercedes-Benzitem 3
Volkswagenitem 4
Hyundai Motor Groupitem 5
General Motorsitem 6
Nissanitem 7
Hondacard_style
white OEM cards with logos and Japanese bullet points about Woven/TRI, Drive Pilot, Cariad, Motional, Cruise, ProPILOT, Honda SENSINGright_sidebar
title
共通の技術・データ基盤を支えるプレイヤーposition
right sidecount
4categories
item 1
label
高精度地図・ロケーションcount
4items
item 1
HEREitem 2
HEXAGONitem 3
mapboxitem 4
tomtomitem 2
label
センサー・LiDARcount
4items
item 1
Velodyne Lidaritem 2
LUMINARitem 3
HESAIitem 4
INNOVIZ TECHNOLOGIESitem 3
label
データ・クラウド・通信count
3items
item 1
awsitem 2
Microsoft Azureitem 3
Google Clouditem 4
label
シミュレーション・開発支援count
3items
item 1
dSPACEitem 2
Ansysitem 3
foretellixbottom_left
title
自動運転エコシステムの4層構造position
bottom leftdiagram
four stacked trapezoid layers in blue, green, yellow, and purple with white iconscount
4layers
item 1
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item 2
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item 3
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OEMitem 4
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 rightcount
3takeaways
item 1
勝者は『自動車メーカー』ではないitem 2
真の競争軸item 3
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 integrationfooter
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 infographiccustomization
{argument name="date note" default="2024年5月時点"}Sobre este prompt
Create a Japanese consulting-style chaos map infographic of global autonomous driving players, ecosystem layers, technologies, and strategic takeaways. Use it as a Arte Conceptual starting point for GPT Image 2: keep the visual structure and style constraints intact, then swap in your own subject, brand, or scene.
This prompt is organized as structured JSON with fields such as type, language, canvas, title, subtitle, top banner, and layout. Keeping that hierarchy helps the model separate the subject, layout, interface elements, and detail constraints.
Start with small changes to subject, scene, camera, and color, then generate a few variations to compare composition and detail without turning the page copy into keyword stuffing.
Cómo usar este prompt
- Copy the full prompt from this page.
- Choose a high-quality image or video model (e.g., Sora 2, DALL·E 3, or Midjourney).
- Customize the
main_title,subtitle, or company lists in the JSON arguments to fit your topic. - Submit the prompt and review the generated infographic layout.
- Iterate by adjusting panel counts, colors, or card styles for a polished result.
