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.
From famed automotive journalist Jason Torchinsky, of Jalopnik and Jay Leno's Garage, comes a witty insider's guide to make sense of self-driving cars and predict the road ahead. Self-driving cars sound fantastical and futuristic and yet they'll soon be on every street in America. Whether it's Tesla's Autopilot, Google's Waymo, Mercedes's Distronic, or Uber's modified Volvos, companies around the world are developing autonomous cars. But why? And what will they mean for the auto industry and humanity at large? In Robot, Take the Wheel, Torchinsky gives a colorful account of the development of autonomous vehicles and their likely implications. He encourages us to think of self-driving cars as an entirely new machine, something beyond cars as we understand them today, and considers how humans will get along with these robots that will take over our cars' jobs, what they will look like, what sorts of jobs they may do, what we can expect of them, how they should act, ethically, how we can have fun with them, and how we can make sure there's still a place for those of us who love to drive, especially with a manual transmission. This vibrant volume explores what's ahead and what we can do now to shape the automated future.
In Autonorama: The Illusory Promise of High-Tech Driving, historian Peter Norton argues that driverless cars cannot be the safe, sustainable, and inclusive "mobility solutions" that tech companies and automakers are promising us. The salesmanship behind the "driverless future" is distracting us from better ways to get around that we can implement now. Unlike autonomous vehicles, these alternatives are inexpensive, safe, sustainable, and inclusive. Norton takes the reader on an engaging ride--from the GM Futurama exhibit to "smart" highways and vehicles--to show how we are once again being sold car dependency in the guise of mobility. Autonorama is hopeful, advocating for wise, proven, humane mobility that we can invest in now, without waiting for technology that is forever just out of reach.
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 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.
Autonomous vehicles (AVs) have been used in military operations for more than 60 years, with torpedoes, cruise missiles, satellites, and target drones being early examples.1 They have also been widely used in the civilian sector-for example, in the disposal of explosives, for work and measurement in radioactive environments, by various offshore industries for both creating and maintaining undersea facilities, for atmospheric and undersea research, and by industry in automated and robotic manufacturing. Recent military experiences with AVs have consistently demonstrated their value in a wide range of missions, and anticipated developments of AVs hold promise for increasingly significant roles in future naval operations. Advances in AV capabilities are enabled (and limited) by progress in the technologies of computing and robotics, navigation, communications and networking, power sources and propulsion, and materials. Autonomous Vehicles in Support of Naval Operations is a forward-looking discussion of the naval operational environment and vision for the Navy and Marine Corps and of naval mission needs and potential applications and limitations of AVs. This report considers the potential of AVs for naval operations, operational needs and technology issues, and opportunities for improved operations.
The past decade has seen tremendous interest in the production and refinement of unmanned aerial vehicles, both fixed-wing, such as airplanes and rotary-wing, such as helicopters and vertical takeoff and landing vehicles. This book provides a diversified survey of research and development on small and miniature unmanned aerial vehicles of both fixed and rotary wing designs. From historical background to proposed new applications, this is the most comprehensive reference yet.
Dr. Greg Zacharias, former Chief Scientist of the United States Air Force (2015-18), explores next steps in autonomous systems (AS) development, fielding, and training. Rapid advances in AS development and artificial intelligence (AI) research will change how we think about machines, whether they are individual vehicle platforms or networked enterprises. The payoff will be considerable, affording the US military significant protection for aviators, greater effectiveness in employment, and unlimited opportunities for novel and disruptive concepts of operations. Autonomous Horizons: The Way Forward identifies issues and makes recommendations for the Air Force to take full advantage of this transformational technology.
When Robin Chase cofounded Zipcar, she not only started a business but established the foundation for one of the most important economic and social ideas of our time: the collaborative economy. With this important book, she broadens our thinking about the ways in which the economy is being transformed and shows how the Peers Inc model is changing the very nature of capitalism. When the best of people power is combined with the best of corporate power to form "Peers Inc" organizations, a potent creative force is released. The "Inc" in these collaborations delivers the industrial strengths of significant scale and resources, and the "Peers" bring together the individual strengths of localization, specialization, and customization, unlocking the power of the collaborative economy. When excess capacity is harnessed by the platform and diverse peers participate, a completely new dynamic is unleashed. In Peers Inc, Robin Chase brings her provocative insights to work, business, the economy, and the environment, showing: How focusing on excess capacity transforms the economics of what's possible and delivers abundance to all How the new collaboration between the Inc and the Peers enables companies to grow more quickly, learn faster, and deliver smarter products and services How leveraging the Peers Inc model can address climate change with the necessary speed and scale How the Peers Inc model can help legacy companies overcome their shortening life cycle by inviting innovation and evolution Why power parity between the Peers and the Inc is a prerequisite for long-term success How platforms can be built within the existing financial system or outside of it What government can do to enhance economic possibility and protect people working in this new decentralized world Chase casts a wide net, illuminating the potential of the Peers Inc model to address broader issues such as climate change and income inequality, and proves the impact that this innovative economic force can have on the most pressing issues of our time.
In recent years, debate on the state's economic role has too often devolved into diatribes against intervention. Peter Evans questions such simplistic views, offering a new vision of why state involvement works in some cases and produces disasters in others. To illustrate, he looks at how state agencies, local entrepreneurs, and transnational corporations shaped the emergence of computer industries in Brazil, India, and Korea during the seventies and eighties. Evans starts with the idea that states vary in the way they are organized and tied to society. In some nations, like Zaire, the state is predatory, ruthlessly extracting and providing nothing of value in return. In others, like Korea, it is developmental, promoting industrial transformation. In still others, like Brazil and India, it is in between, sometimes helping, sometimes hindering. Evans's years of comparative research on the successes and failures of state involvement in the process of industrialization have here been crafted into a persuasive and entertaining work, which demonstrates that successful state action requires an understanding of its own limits, a realistic relationship to the global economy, and the combination of coherent internal organization and close links to society that Evans called "embedded autonomy."
