This book constitutes the refereed proceedings of the First International Conference on Artificial Intelligence and Smart Vehicles, ICAISV 2023, held in Tehran, Iran, during May 24-25, 2023. The 14 full papers included in this book were carefully reviewed and selected from 93 submissions. They were organized in topical sections as follows: machine learning, data mining, machine vision, image processing, signal analysis, decision support systems, expert systems, and their applications in smart vehicles.

This is the first comprehensive book on the autonomous vehicles as a part of the smart transportation systems. It was written by scientists and engineers who had been actively contributing to the development of technical knowledge in this field. The authors tried to cover both the theoretical background and the multitude of practical issues related to either commercially-available or laboratory-validated vehicular technologies. The book will be invaluable not only for engineers directly concerned with the development of autonomous vehicles, but also to those who are interested in various fields that overlap with these specific topics: power engineering, electrical drives, control systems, sensors and actuators and artificial intelligence. Technical executives concerned with intelligent transportation systems will also find it timely and important.

This book focuses on the latest applications of nonlinear approaches in engineering and addresses a range of scientific problems. Examples focus on issues in automotive technology, including automotive dynamics, control for electric and hybrid vehicles, and autodriver algorithm for autonomous vehicles. Also included are discussions on renewable energy plants, data modeling, driver-aid methods, and low-frequency vibration. Chapters are based on invited contributions from world-class experts who advance the future of engineering by discussing the development of more optimal, accurate, efficient, cost, and energy effective systems. This book is appropriate for researchers, students, and practising engineers who are interested in the applications of nonlinear approaches to solving engineering and science problems. Presents a broad range of practical topics and approaches; Explains approaches to better, safer, and cheaper systems; Emphasises automotive applications, physical meaning, and methodologies.

Electric vehicles are changing transportation dramatically and this unique book merges the many disciplines that contribute research to make EV possible, so the reader is informed about all the underlying science and technologies driving the change. An emission-free mobility system is the only way to save the world from the greenhouse effect and other ecological issues. This belief has led to a tremendous growth in the demand for electric vehicles (EV) and hybrid electric vehicles (HEV), which are predicted to have a promising future based on the goals fixed by the European Commission's Horizon 2020 program. This book brings together the research that has been carried out in the EV/HEV sector and the leading role of advanced optimization techniques with artificial intelligence (AI). This is achieved by compiling the findings of various studies in the electrical, electronics, computer, and mechanical domains for the EV/HEV system. In addition to acting as a hub for information on these research findings, the book also addresses the challenges in the EV/HEV sector and provides proven solutions that involve the most promising AI techniques. Since the commercialization of EVs/HEVs still remains a challenge in industries in terms of performance and cost, these are the two tradeoffs which need to be researched in order to arrive at an optimal solution. Therefore, this book focuses on the convergence of various technologies involved in EVs/HEVs. Since all countries will gradually shift from conventional internal combustion (IC) engine-based vehicles to EVs/HEVs in the near future, it also serves as a useful reliable resource for multidisciplinary researchers and industry teams.

With this groundbreaking text, discover how wireless artificial intelligence (AI) can be used to determine position at centimeter level, sense motion and vital signs, and identify events and people. Using a highly innovative approach that employs existing wireless equipment and signal processing techniques to turn multipaths into virtual antennas, combined with the physical principle of time reversal and machine learning, it covers fundamental theory, extensive experimental results, and real practical use cases developed for products and applications. Topics explored include indoor positioning and tracking, wireless sensing and analytics, wireless power transfer and energy efficiency, 5G and next-generation communications, and the connection of large numbers of heterogeneous IoT devices of various bandwidths and capabilities. Demo videos accompanying the book online enhance understanding of these topics. Providing a unified framework for wireless AI, this is an excellent text for graduate students, researchers, and professionals working in wireless sensing, positioning, IoT, machine learning, signal processing and wireless communications.

The Handbook of Intelligent Vehicles provides a complete coverage of the fundamentals, new technologies, and sub-areas essential to the development of intelligent vehicles; it also includes advances made to date, challenges, and future trends. Significant strides in the field have been made to date; however, so far there has been no single book or volume which captures these advances in a comprehensive format, addressing all essential components and subspecialties of intelligent vehicles, as this book does. Since the intended users are engineering practitioners, as well as researchers and graduate students, the book chapters do not only cover fundamentals, methods, and algorithms but also include how software/hardware are implemented, and demonstrate the advances along with their present challenges. Research at both component and systems levels are required to advance the functionality of intelligent vehicles. This volume covers both of these aspects in addition to the fundamentals listed above.

"A much needed, sobering look at the seductive promises of new technologies. You couldn’t ask for a better guide than Jack Stilgoe. His book is measured, fair and incisive.”Hannah Fry, University College London, UK, and author of Hello World: How to be Human in the Age of the Machine “A cracking and insightful little book that thoughtfully examines the most important political and social question we face: how to define and meaningfully control the technologies that are starting to run our lives.”Jamie Bartlett, author of The People vs Tech: How the Internet is Killing Democracy (and How We Save It) "Innovation has not only a rate but also a direction. Stilgoe’s excellent new book tackles the directionality of AI with a strong call to action. The book critiques the idea that technology is a pre-determined force, and puts forward a concrete proposal on how to make sure we are making decisions along the way that ask who is benefitting and how can we open the possibilities of innovation while steering them to deliver social benefit."Mariana Mazzucato, University College London, UK, and author of The Value of Everything: Making and Taking in the Global Economy “Looking closely at the prospects and problems for ‘autonomous vehicles,’ Jack Stilgoe uncovers layer after layer of an even more fascinating story - the bizarre disconnect between technological means and basic human ends in our time. A tour de force of history and theory, the book is rich in substance, unsettling in its questions and great fun to read.”Langdon Winner, Rensselaer Polytechnic Institute, USA Too often, we understand the effects of technological change only in hindsight. When technologies are new, it is not clear where they are taking us or who's driving. Innovators tend to accentuate the benefits rather than risks or other injustices. Technologies like self-driving cars are not as inevitable as the hype would suggest. If we want to realise the opportunities, spread the benefits to people who normally lose out and manage the risks, Silicon Valley’s disruptive innovation is a bad model. Steering innovation in the public interest means finding new ways for public and private sector organisations to collaborate.