AutomotiveUnknownEmerging Standard

Driving Intelligence: The Green Book – Routes to Autonomy

This is a book that acts like a roadmap for car makers and tech leaders who want to build self-driving vehicles. It explains how to get from today’s driver-assistance features to fully autonomous driving—covering technology, safety, regulation, and business models rather than providing a single software product.

6.5
Quality
Score

Executive Brief

Business Problem Solved

Gives automotive and mobility stakeholders a structured understanding of how to plan, evaluate, and govern the journey toward vehicle autonomy—reducing confusion around technology choices, safety frameworks, timelines, and investment priorities.

Value Drivers

Better strategic planning for autonomy programsReduced risk of misinvestment in inappropriate AV technologiesFaster alignment across engineering, safety, and business teamsImproved ability to engage regulators, investors, and partners with a coherent autonomy roadmap

Technical Analysis

Model Strategy

Unknown

Data Strategy

Unknown

Implementation Complexity

High (Custom Models/Infra)

Scalability Bottleneck

Not a specific AI system but a conceptual/strategic framework; technical scaling constraints depend on how readers implement AV stacks (e.g., perception compute load, data labeling, long-tail safety validation).

Market Signal

Adoption Stage

Early Majority

Differentiation Factor

Positions itself as a comprehensive, structured ‘green book’ for routes to autonomy—bridging technical, regulatory, and strategic considerations for self-driving and highly automated vehicles, rather than focusing only on one slice (e.g., perception algorithms or safety cases).

Key Competitors