New Foundation of Artificial Intelligence

This book lays a new foundation toward achieving artificial self-intelligence by future machines such as intelligent vehicles. Its chapters provide a broad coverage 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 details the fundamental solutions of vehicle's perception, vehicle's decision-making, and vehicle's action-taking in a pedagogic order.Besides the fundamental knowledge and concepts of intelligent vehicle's 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 artificial intelligence, intelligent vehicle, and robotics, which are offered in automotive engineering, computer engineering, electronic engineering, and mechanical engineering. In addition, the book will help strengthen the knowledge and skills of young researchers who want to venture into the research and development of artificial self-intelligence for intelligent vehicles of the future.Contents: Knowledge Representation:Basics of KnowledgeBasics of Human LanguageBasics of Technical LanguageBasics of Programming LanguageKnowledge Acquisition:Knowledge Acquisition from TextBasics of Visual PerceptionKnowledge Acquisition from ColorKnowledge Acquisition from ShapeKnowledge Acquisition from DepthKnowledge Computation:Computing Statics of Generic DataComputing Dynamics of Mechanical SystemsKnowledge Applications:Knowledge-enabled Applications
Readership: Advanced undergraduate and graduate students in computer science, control engineering, automotive engineering, mechanical engineering, and electronic engineering; researchers and practitioners in automotive and automation industries.Intelligent Vehicle;In-Vehicle Sensing;In-Vehicle Perception;Self Decision-Making;Self Action-Taking0Key Features:The book exposes readers to the fundamentals of perception, decision and actionThe book contains original publications of the authorsIt is an original book by experts in the fieldIt is a book accessible to students, and of interest to young researchers and experts