New Foundation of Artificial Intelligence

Abstract

This book provides a broad introduction to the three key modules behind the design and development of intelligent vehicles for the ultimate purpose of actively ensuring driving safety as well as preventing accidents from all possible causes. Self-contained and unified in presentation, the book explains in detail the fundamental solutions of vehicle perception, vehicle decision-making and vehicle action-taking in a pedagogic order. Besides the fundamental knowledge and concepts of intelligent vehicles perception, decision and action, this book includes a comprehensive set of real-life application scenarios in which intelligent vehicles will play a major role or contribution. These case studies of real-life applications will help motivate students to learn this exciting subject. With concise and simple explanations, and boasting a rich set of graphical illustrations, the book is an invaluable source for both undergraduate and postgraduate courses, on automotive engineering, mechanical engineering and robotics. In addition, the book will help strengthen the knowledge and skills of young researchers who want to venture into the research and development of intelligent vehicles of the future.-- | Part 1. Knowledge Representation -- 1. Basics of Knowledge -- 2. Basics of Human Language -- 3. Basics of Technical Language -- 4. Basics of Programming Language -- Part 2. Knowledge Acquisition -- 5. Knowledge Acquisition from Text -- 6. Basics of Visual Perception -- 7. Knowledge Acquisition from Color -- 8. Knowledge Acquisition from Shape -- 9. Knowledge Acquisition from Depth -- Part 3. Knowledge Computation -- 10. Computing Statics of Generic Data -- 11. Computing Dynamics of Mechanical Systems -- Part 4. Knowledge Application -- 12. Knowledge-enabled Applications. | Includes bibliographical references and index. | xvii, 384 pages | illustrations (some colour) | 26 cm.