This book takes a look at fully automated, autonomous vehicles and discusses many open questions: How can autonomous vehicles be integrated into the current transportation system with diverse users and human drivers? Where do automated vehicles fall under current legal frameworks? What risks are associated with automation and how will society respond to these risks? How will the marketplace react to automated vehicles and what changes may be necessary for companies? Experts from Germany and the United States define key societal, engineering, and mobility issues related to the automation of vehicles. They discuss the decisions programmers of automated vehicles must make to enable vehicles to perceive their environment, interact with other road users, and choose actions that may have ethical consequences. The authors further identify expectations and concerns that will form the basis for individual and societal acceptance of autonomous driving. While the safety benefits of such vehicles are tremendous, the authors demonstrate that these benefits will only be achieved if vehicles have an appropriate safety concept at the heart of their design. Realizing the potential of automated vehicles to reorganize traffic and transform mobility of people and goods requires similar care in the design of vehicles and networks. By covering all of these topics, the book aims to provide a current, comprehensive, and scientifically sound treatment of the emerging field of “autonomous driving".

This book provides an introduction to the Human Centred Design of autonomous vehicles for professionals and students. While rapid progress is being made in the field of autonomous road vehicles the majority of actions and the research address the technical challenges, with little attention to the physical, perceptual, cognitive and emotional needs of humans. This book fills a gap in the knowledge by providing an easily understandable introduction to the needs and desires of people in relation to autonomous vehicles. The book is "human centred design" led, adding an important human perspective to the primarily technology-driven debates about autonomous vehicles. It combines knowledge from fields ranging from linguistics to electrical engineering to provide a holistic, multidisciplinary overview of the issues affecting the interactions between autonomous vehicles and people. It emphasises the constraints and requirements that a human centred perspective necessitates, giving balanced information about the potential conflicts between technical and human factors. The book provides a helpful introduction to the field of design ethics, to enhance the reader’s awareness and understanding of the multiple ethical issues involved in autonomous vehicle design. Written as an accessible guide for design practitioners and students, this will be a key read for those interested in the psychological, sociological and ethical factors involved in automotive design, human centred design, industrial design and technology.

The automotive industry appears close to substantial change engendered by “self-driving” technologies. This technology offers the possibility of significant benefits to social welfare—saving lives; reducing crashes, congestion, fuel consumption, and pollution; increasing mobility for the disabled; and ultimately improving land use. This report is intended as a guide for state and federal policymakers on the many issues that this technology raises.

When human drivers let intelligent software take the wheel: the beginning of a new era in personal mobility.

Autonomous Vehicles and Future Mobility presents novel methods for examining the long-term effects on individuals, society, and on the environment for a wide range of forthcoming transport scenarios, such as self-driving vehicles, workplace mobility plans, demand responsive transport analysis, mobility as a service, multi-source transport data provision, and door-to-door mobility. With the development and realization of new mobility options comes change in long-term travel behavior and transport policy. This book addresses these impacts, considering such key areas as the attitude of users towards new services, the consequences of introducing new mobility forms, the impacts of changing work related trips, and more. By examining and contextualizing innovative transport solutions in this rapidly evolving field, the book provides insights into the current implementation of these potentially sustainable solutions. It will serve as a resource of general guidelines and best practices for researchers, professionals and policymakers.

The technology and engineering behind autonomous driving is advancing at pace. This book presents the latest technical advances and the economic, environmental and social impact driverless cars will have on individuals and the automotive industry.

A brilliant and defiant celebration of driving as a unique pathway of human freedom, by "one of the most influential thinkers of our time" (Sunday Times) "Why We Drive weaves philosophers, thinkers, and scientific research with shade-tree mechanics and racers to defend our right to independence, making the case that freedom of motion is essential to who we are as a species. ... We hope you'll read it." —Road & Track Once we were drivers, the open road alive with autonomy, adventure, danger, trust, and speed. Today we are as likely to be in the back seat of an Uber as behind the wheel ourselves. Tech giants are hurling us toward a shiny, happy “self-driving” future, selling utopia but equally keen to advertise to a captive audience strapped into another expensive device. Are we destined, then, to become passengers, not drivers? Why We Drive reveals that much more may be at stake than we might think. Ten years ago, in the New York Times-bestselling Shop Class as Soulcraft, philosopher-mechanic Matthew B. Crawford—a University of Chicago PhD who owned his own motorcycle shop—made a revolutionary case for manual labor, one that ran headlong against the pretentions of white-collar office work. Now, using driving as a window through which to view the broader changes wrought by technology on all aspects of contemporary life, Crawford investigates the driver’s seat as one of the few remaining domains of skill, exploration, play—and freedom. Blending philosophy and hands-on storytelling, Crawford grounds the narrative in his own experience in the garage and behind the wheel, recounting his decade-long restoration of a vintage Volkswagen as well as his journeys to thriving automotive subcultures across the country. Crawford leads us on an irreverent but deeply considered inquiry into the power of faceless bureaucracies, the importance of questioning mindless rules, and the battle for democratic self-determination against the surveillance capitalists. A meditation on the competence of ordinary people, Why We Drive explores the genius of our everyday practices on the road, the rewards of “folk engineering,” and the existential value of occasionally being scared shitless. Witty and ingenious throughout, Why We Drive is a rebellious and daring celebration of the irrepressible human spirit.

Going beyond the bestsellers Predictably Irrational and Thinking, Fast and Slow, the first “how to” guide that shows you how to help customers, employees, coworkers, and clients make better choices to get what they truly want. Of the ten million bits of information our brains process each second, only fifty bits are devoted to conscious thought. Because our brains are wired to be inattentive, we often choose without thinking, acting against our own interests—what we truly want. As the former Chief Scientist of Express Scripts, a Fortune 25 healthcare company dedicated to making the use of prescription medications safer and more affordable, Bob Nease is an expert on applying behavioral sciences to health care. Now, he applies his knowledge to the wider world, providing important practical solutions marketers, human resources professionals, teachers, and even parents can use to improve the behavior of others around them, and get the positive results they want. Nease offers a set of powerful and effective strategies to change behavior, including: Require Choice—compel people to deliberately choose among options Lock in Good Intentions—allow people to make decisions today about choices they will face in the future Let It Ride—set the default to the desired option and let people opt out if they wish Get in the Flow—go to where peoples’ attention is likely to be naturally Reframe the Choices—set the framework people use to consider options and choices Piggyback It—connect the desired choice or behavior with something they already like or are engaged in Simplify . . . Wisely—make right choices frictionless and easy, make wrong choices more difficult And more.

This open access book introduces the reader to the foundations of AI and ethics. It discusses issues of trust, responsibility, liability, privacy and risk. It focuses on the interaction between people and the AI systems and Robotics they use. Designed to be accessible for a broad audience, reading this book does not require prerequisite technical, legal or philosophical expertise. Throughout, the authors use examples to illustrate the issues at hand and conclude the book with a discussion on the application areas of AI and Robotics, in particular autonomous vehicles, automatic weapon systems and biased algorithms. A list of questions and further readings is also included for students willing to explore the topic further.

This book is the first technical overview of autonomous vehicles written for a general computing and engineering audience. The authors share their practical experiences of creating autonomous vehicle systems. These systems are complex, consisting of three major subsystems: (1) algorithms for localization, perception, and planning and control; (2) client systems, such as the robotics operating system and hardware platform; and (3) the cloud platform, which includes data storage, simulation, high-definition (HD) mapping, and deep learning model training. The algorithm subsystem extracts meaningful information from sensor raw data to understand its environment and make decisions about its actions. The client subsystem integrates these algorithms to meet real-time and reliability requirements. The cloud platform provides offline computing and storage capabilities for autonomous vehicles. Using the cloud platform, we are able to test new algorithms and update the HD map—plus, train better recognition, tracking, and decision models. This book consists of nine chapters. Chapter 1 provides an overview of autonomous vehicle systems; Chapter 2 focuses on localization technologies; Chapter 3 discusses traditional techniques used for perception; Chapter 4 discusses deep learning based techniques for perception; Chapter 5 introduces the planning and control sub-system, especially prediction and routing technologies; Chapter 6 focuses on motion planning and feedback control of the planning and control subsystem; Chapter 7 introduces reinforcement learning-based planning and control; Chapter 8 delves into the details of client systems design; and Chapter 9 provides the details of cloud platforms for autonomous driving. This book should be useful to students, researchers, and practitioners alike. Whether you are an undergraduate or a graduate student interested in autonomous driving, you will find herein a comprehensive overview of the whole autonomous vehicle technology stack. If you are an autonomous driving practitioner, the many practical techniques introduced in this book will be of interest to you. Researchers will also find plenty of references for an effective, deeper exploration of the various technologies.