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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.

Autonomous Driving Chaos Map — Sora 2 Prompt
PROMPT · EN
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
item 1
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
item 1
title
米国：プラットフォーム型（AI主導）
count
4
companies
item 1
Waymo
item 2
Tesla
item 3
Zoox
item 4
Cruise
item 2
title
中国：都市インフラ一体型（国家＋都市OS型）
count
4
companies
item 1
Baidu Apollo
item 2
Pony.ai
item 3
WeRide
item 4
AutoX
item 3
title
欧州・半導体系（技術基盤の中核）
count
5
companies
item 1
Mobileye
item 2
NVIDIA
item 3
BOSCH
item 4
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
item 2
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
item 1
Aurora Innovation
item 2
Nuro
item 3
May Mobility
item 4
Motional
item 5
Wayve
item 6
Scale AI
item 7
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
item 3
title
③ 自動車OEM側
position
lower row
left_label
（日本企業の競争領域）
count
8
companies
item 1
TOYOTA
item 2
Mercedes-Benz
item 3
Volkswagen
item 4
Hyundai Motor Group
item 5
General Motors
item 6
Nissan
item 7
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
item 1
label
高精度地図・ロケーション
count
4
items
item 1
HERE
item 2
HEXAGON
item 3
mapbox
item 4
tomtom
item 2
label
センサー・LiDAR
count
4
items
item 1
Velodyne Lidar
item 2
LUMINAR
item 3
HESAI
item 4
INNOVIZ TECHNOLOGIES
item 3
label
データ・クラウド・通信
count
3
items
item 1
aws
item 2
Microsoft Azure
item 3
Google Cloud
item 4
label
シミュレーション・開発支援
count
3
items
item 1
dSPACE
item 2
Ansys
item 3
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
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OEM
item 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 right
count
3
takeaways
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 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"}

À propos de ce prompt

Create a Japanese consulting-style chaos map infographic of global autonomous driving players, ecosystem layers, technologies, and strategic takeaways. Use it as a Art Conceptuel 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.

Comment utiliser ce prompt

  1. Copy the full prompt from this page.
  2. Choose a high-quality image or video model (e.g., Sora 2, DALL·E 3, or Midjourney).
  3. Customize the main_title, subtitle, or company lists in the JSON arguments to fit your topic.
  4. Submit the prompt and review the generated infographic layout.
  5. Iterate by adjusting panel counts, colors, or card styles for a polished result.

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