Driving Intelligence: The Green Book
Routes to Autonomy
- Publisher's listprice GBP 125.00
-
59 718 Ft (56 875 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 20% (cc. 11 944 Ft off)
- Discounted price 47 775 Ft (45 500 Ft + 5% VAT)
Subcribe now and take benefit of a favourable price.
Subscribe
59 718 Ft
Availability
Not yet published.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1
- Publisher Routledge
- Date of Publication 23 December 2025
- ISBN 9781032911229
- Binding Hardback
- No. of pages264 pages
- Size 234x156 mm
- Language English
- Illustrations 24 Illustrations, black & white; 13 Halftones, black & white; 11 Line drawings, black & white 700
Categories
Short description:
Driving Intelligence takes a critical and captivating tour of autonomous driving, a phenomenon at the intersection of data-driven platforms, artificial (general) intelligence and the mind.
MoreLong description:
Driving Intelligence takes a critical and captivating tour of autonomous driving, a phenomenon at the intersection of data-driven platforms, artificial (general) intelligence and the mind. The journey extends from Europe to key areas such as Japan, China, and the US, recognizing the global impact of AI & autonomous driving on high-tech and automotive sectors.
The significance of ‘Driving Intelligence’ resonates beyond specialized circles, encompassing a spectrum of perspectives – historical, economic, scientific, and philosophical. The book addresses the pressing question of success probabilities and socioeconomic impacts, not just for specialists but for a wider audience keen on understanding the evolution of AI and mobility in the 21st century.
Avoiding partial insights into this domain, the book provides a comprehensive and multifaceted overview which will appeal to a diverse audience including business leaders and policymakers in the mobility and tech industries, governmental bodies, and the general public globally.
MoreTable of Contents:
Foreword. Preface. About the Authors. Chapter 1 Self Driving to the Future. Chapter 2 Computing Machinery & Intelligence. Chapter 3 First Steps in Computer Vision. Chapter 4 The Tortoise and the Hare. Chapter 5 The DARPA Grand Challenge for Autonomous Vehicles. Chapter 6 Forms of Machine Learning. Chapter 7 Types of Machine-Learning Models. Chapter 8 Second & Third DARPA Challenges. Chapter 9 Theory, Empiricism, and Data. Chapter 10 New Forms of Learning. Chapter 11 New Types of Model. Chapter 12 A Whole New Industry Unfolding. Chapter 13 Recurrent Sequence‑To‑Sequence Learning. Chapter 14 Attention Is All You Need. Chapter 15 Large Language Models and Multimodal Systems. Chapter 16 End‑to‑end Neural Networks. Chapter 17 A Question of Strategy. Chapter 18 Green Lights Ahead!. Bibliography. Index
More
