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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.
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.
An exclusive insider look at the making of self-driving cars and how advances in Artificial Intelligence (AI) are helping to achieve this moonshot goal. Apple CEO Tim Cook famously proclaimed that the development of a self-driving car is "the Mother of all AI projects." Read about the good, bad, and the ugly of self-driving cars. Author Dr. Lance B. Eliot is a popular AI expert, entrepreneur and seasoned AI developer known for his expertise and leadership in the field of self-driving cars.
A computer beats the reigning human champion of Go, a game harder than chess. Another is composing classical music. Labs are creating life-forms from synthetic DNA. A doctor designs an artificial trachea, uses a 3D printer to produce it, and implants it and saves a child's life. Astonishing technological advances like these are arriving in increasing numbers. Scholar and entrepreneur Vivek Wadhwa uses this book to alert us to dozens of them and raise important questions about what they may mean for us. Breakthroughs such as personalized genomics, self-driving vehicles, drones, and artificial intelligence could make our lives healthier, safer, and easier. But the same technologies raise the specter of a frightening, alienating future: eugenics, a jobless economy, complete loss of privacy, and ever-worsening economic inequality. As Wadhwa puts it, our choices will determine if our future is Star Trek or Mad Max. Wadhwa offers us three questions to ask about every emerging technology: Does it have the potential to benefit everyone equally? What are its risks and rewards? And does it promote autonomy or dependence? Looking at a broad array of advances in this light, he emphasizes that the future is up to us to create—that even if our hands are not on the wheel, we will decide the driverless car's destination.
When human drivers let intelligent software take the wheel: the beginning of a new era in personal mobility.
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.
Global expert on AI and self-driving driverless cars, Dr. Lance Eliot provides an indication of the crucial high-tech advances both needed and that are underway. He brings together his deep insights into the rise of Autonomous Vehicles (AV) and covers the high-tech, business, governmental, and societal impacts. For access to his podcasts, see his web site: www.ai-selfdriving-cars.guru
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.
Failure should not be an option in the presidency, but for too long it has been the norm. From the botched attempt to rescue the U.S. diplomats held hostage by Iran in 1980 under President Jimmy Carter and the missed intelligence on Al Qaeda before 9-11 under George W. Bush to, most recently, the computer meltdown that marked the arrival of health care reform under Barack Obama, the American presidency has been a profile in failure. In Why Presidents Fail and How They Can Succeed Again, Elaine Kamarck surveys these and other recent presidential failures to understand why Americans have lost faith in their leaders—and how they can get it back. Kamarck argues that presidents today spend too much time talking and not enough time governing, and that they have allowed themselves to become more and more distant from the federal bureaucracy that is supposed to implement policy. After decades of "imperial" and "rhetorical" presidencies, we are in need of a "managerial" president. This White House insider and former Harvard academic explains the difficulties of governing in our modern political landscape, and offers examples and recommendations of how our next president can not only recreate faith in leadership but also run a competent, successful administration.