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| autonomous car technology companies: Autonomous Vehicle Technology James M. Anderson, Kalra Nidhi, Karlyn D. Stanley, Paul Sorensen, Constantine Samaras, Oluwatobi A. Oluwatola, 2014-01-10 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 car technology companies: Autonorama Peter Norton, 2021-10-21 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. |
| autonomous car technology companies: Autonomous Vehicles and Future Mobility Pierluigi Coppola, Domokos Esztergár-Kiss, 2019-06-11 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. |
| autonomous car technology companies: Self-Driving Cars Haydn Sonnad, 2019-08-01 Cars have come a long way thanks to technology, from Model T cars to cars that drive themselves. In Self-Driving Cars in the Disruptors in Tech series, readers will discover how autonomous driving technology has and continues to disrupt industries from car manufacturers to city infrastructures. Series includes a table of contents, tech-forward sidebars, a timeline, glossary, index, and author biography. |
| autonomous car technology companies: Driverless Hod Lipson, Melba Kurman, 2016-09-23 When human drivers let intelligent software take the wheel: the beginning of a new era in personal mobility. |
| autonomous car technology companies: Tomorrow's Cars United States. Energy Research and Development Administration, 1976 |
| autonomous car technology companies: Autonomous Vehicles George Dimitrakopoulos, Aggelos Tsakanikas, Elias Panagiotopoulos, 2021-04-15 Autonomous Vehicles: Technologies, Regulations, and Societal Impacts explores both the autonomous driving concepts and the key hardware and software enablers, Artificial intelligence tools, needed infrastructure, communication protocols, and interaction with non-autonomous vehicles. It analyses the impacts of autonomous driving using a scenario-based approach to quantify the effects on the overall economy and affected sectors. The book assess from a qualitative and quantitative approach, the future of autonomous driving, and the main drivers, challenges, and barriers. The book investigates whether individuals are ready to use advanced automated driving vehicles technology, and to what extent we as a society are prepared to accept highly automated vehicles on the road. Building on the technologies, opportunities, strengths, threats, and weaknesses, Autonomous Vehicles: Technologies, Regulations, and Societal Impacts discusses the needed frameworks for automated vehicles to move inside and around cities. The book concludes with a discussion on what in applications comes next, outlining the future research needs. - Broad, interdisciplinary and systematic coverage of the key issues in autonomous driving and vehicles - Examines technological impact on society, governance, and the economy as a whole - Includes foundational topical coverage, case studies, objectives, and glossary |
| autonomous car technology companies: Autonomous Driving Markus Maurer, J. Christian Gerdes, Barbara Lenz, Hermann Winner, 2016-05-21 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. |
| autonomous car technology companies: Autonomous Vehicles Michael E McGrath, 2019-12-02 This second edition of the successful book - Autonomous Vehicles: Opportunities, Strategies, and Disruptions - updates and expands the first edition published in 2018. It goes into further depth on the market opportunities for autonomous vehicles, adds a global assessment, and includes new insights. Even if you have read the first edition, you need to read the second edition in order to keep up with the fast-paced development of AVs.Autonomous vehicles will change our fundamental lifestyles and create what are perhaps the most significant opportunities of this century. The benefits are unprecedented. The challenges are sizeable but not insurmountable. The strategies are exciting. The disruptions will be substantial.Autonomous Vehicles: Opportunities, Strategies, and Disruptions provides unique insight and perspective on autonomous vehicles.-See how basic lifestyles will be transformed with new inexpensive and more convenient methods of transportation.-Learn about autonomous driving, how it works, and the technologies that make it possible.-Consider the unprecedented benefits that autonomous vehicles will bring.-Understand autonomous ride services and how it will become one of the largest industries ever, but at the same time one of the biggest disruptions.-Comprehend the new markets that autonomous vehicles will create.-Discover the strategies of the major companies competing for these exciting markets.-Anticipate the substantial disruptions that will be created by autonomous vehicles. The book includes projections for these new markets, new economic and business models, and a timetable for the stages of AV adoption. It is a must-read for anyone involved in autonomous vehicles or interested in how they will shape the future. |
| autonomous car technology companies: The Future is Autonomous Phillip Wilcox, 2021-03 Who will win the race to develop the autonomous vehicle? Making predictions about technology, particularly technology as revolutionary as the autonomous vehicle, can be challenging. The Future is Autonomous: The U.S. and China Race to Develop the Driverless Car explores a number of key factors that will decide who will emerge victorious. In this book you will learn about: The major technological difficulties that must be overcome for a self-driving car to drive safely. The innovative companies that are creating new business models to commercialize autonomous vehicles. The political hurdles that both the U.S. and China must face to establish a common set of standards for autonomous vehicles both domestically and globally. And so much more! This book is a must read for anyone interested in the future of the automotive industry, cutting-edge technology, and keen political analysis. There is little doubt that whoever wins the race to develop the autonomous vehicle will have substantial influence in the industry for decades. No matter which superpower comes out on top, the biggest winner of all will be the consumer. |
| autonomous car technology companies: Self-Driving Vehicles and Enabling Technologies , 2021-09-22 This book examines the development and technical progress of self-driving vehicles in the context of the Vision Zero project from the European Union, which aims to eliminate highway system fatalities and serious accidents by 2050. It presents the concept of Autonomous Driving (AD) and discusses its applications in transportation, logistics, space, agriculture, and industrial and home automation. |
| autonomous car technology companies: The Driver in the Driverless Car Vivek Wadhwa, Alex Salkever, 2017-04-03 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. |
| autonomous car technology companies: Introduction to Self-Driving Vehicle Technology Hanky Sjafrie, 2019-11-27 This book aims to teach the core concepts that make Self-driving vehicles (SDVs) possible. It is aimed at people who want to get their teeth into self-driving vehicle technology, by providing genuine technical insights where other books just skim the surface. The book tackles everything from sensors and perception to functional safety and cybersecurity. It also passes on some practical know-how and discusses concrete SDV applications, along with a discussion of where this technology is heading. It will serve as a good starting point for software developers or professional engineers who are eager to pursue a career in this exciting field and want to learn more about the basics of SDV algorithms. Likewise, academic researchers, technology enthusiasts, and journalists will also find the book useful. Key Features: Offers a comprehensive technological walk-through of what really matters in SDV development: from hardware, software, to functional safety and cybersecurity Written by an active practitioner with extensive experience in series development and research in the fields of Advanced Driver Assistance Systems (ADAS) and Autonomous Driving Covers theoretical fundamentals of state-of-the-art SLAM, multi-sensor data fusion, and other SDV algorithms. Includes practical information and hands-on material with Robot Operating System (ROS) and Open Source Car Control (OSCC). Provides an overview of the strategies, trends, and applications which companies are pursuing in this field at present as well as other technical insights from the industry. |
| autonomous car technology companies: Creating Autonomous Vehicle Systems Shaoshan Liu, Liyun Li, Jie Tang, Shuang Wu, Jean-Luc Gaudiot, 2017-10-25 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 car technology companies: Autonomous Driving Andreas Herrmann, Walter Brenner, Rupert Stadler, 2018-03-26 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. |
| autonomous car technology companies: Automated Driving Systems 2.0. U. S. Department Of Transportation, 2018-07-25 A Vision for Safety replaces the Federal Automated Vehicle Policy released in 2016. This updated policy framework offers a path forward for the safe deployment of automated vehicles by: encouraging new entrants and ideas that deliver safer vehicles; making Department regulatory processes more nimble to help match the pace of private sector innovation; and supporting industry innovation and encouraging open communication with the public and with stakeholders.--Introductory message. |
| autonomous car technology companies: Driverless Cars: On a Road to Nowhere? Christian Wolmar, 2020-09-24 Wolmar's entertaining polemic sets out the many technical, legal and moral problems that obstruct the path to a driverless future, and debunks many of the myths around that future's purported benefits. |
| autonomous car technology companies: An Introduction to Ethics in Robotics and AI Christoph Bartneck, Christoph Lütge, Alan Wagner, Sean Welsh, 2020-08-11 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. |
| autonomous car technology companies: No One at the Wheel Samuel I Schwartz, 2018-11-20 The country's leading transport expert describes how the driverless vehicle revolution will transform highways, cities, workplaces and laws not just here, but across the globe. Our time at the wheel is done. Driving will become illegal, as human drivers will be demonstrably more dangerous than cars that pilot themselves. Is this an impossible future, or a revolution just around the corner? Sam Schwartz, America's most celebrated transportation guru, describes in this book the revolution in self-driving cars. The ramifications will be dramatic, and the transition will be far from seamless. It will overturn the job market for the one in seven Americans who work in the trucking industry. It will cause us to grapple with new ethical dilemmas-if a car will hit a person or a building, endangering the lives of its passengers, who will decide what it does? It will further erode our privacy, since the vehicle can relay our location at any moment. And, like every other computer-controlled device, it can be vulnerable to hacking. Right now, every major car maker here and abroad is working on bringing autonomous vehicles to consumers. The fleets are getting ready to roll and nothing will ever be the same, and this book shows us what the future has in store. |
| autonomous car technology companies: Autonomous Vehicle Technology Mingfang Du, 2022-09-23 The subject of this book is artificial intelligence (AI), introducing the fast road sensing algorithm and system based on image pattern recognition for unmanned vehicle, especially for traffic sign recognition and complex road recognition. With rich figures and credible data, this book systematically and comprehensively describes the core technology and industrialization focus of today's unmanned vehicle system, which can be used as a reference for R & D Engineers and industrialization practitioners of unmanned vehicle, and it can also be used as a teaching material for higher grades and postgraduates in colleges and universities. |
| autonomous car technology companies: Measuring Innovation in the Autonomous Vehicle Technology Maryam Zehtabchi, World Intellectual Property Organization, 2019-11-08 Automotive industry is going through a technological shock. Multiple intertwined technological advances (autonomous vehicle, connect vehicles and mobility-as-a-Service) are creating new rules for an industry that had not changed its way of doing business for almost a century. Key players from the tech and traditional automobile sectors – although with different incentives – are pooling resources to realize the goal of self-driving cars. AV innovation by auto and tech companies’ innovation is still largely home based, however, there is some shifting geography at the margin. AV and other related technologies are broadening the automotive innovation landscape, with several IT-focused hotspots – which traditionally were not at the center of automotive innovation – gaining prominence. |
| autonomous car technology companies: Driverless Car Technology , 2016-02-25 Driverless cars represent a disruptive technological change in transportation as we know it. These vehicles are capable of sensing, navigating, and communicating with their external surroundings without any human intervention. They leverage various technologies including imaging, radar, laser optics, and GPS to navigate through dynamically changing road environments. In this report, we analyze the Intellectual Property (Patents) landscape of driverless car technology. Our analysis reveals key aspects relating to innovation in this technology, including filing trends, top assignees, their portfolio strength, and geographical coverage. |
| autonomous car technology companies: Deep Learning for Coders with fastai and PyTorch Jeremy Howard, Sylvain Gugger, 2020-06-29 Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala |
| autonomous car technology companies: Magic Motorways Norman Bel Geddes, 2011-03-23 Many of the earliest books, particularly those dating back to the 1900s and before, are now extremely scarce and increasingly expensive. We are republishing these classic works in affordable, high quality, modern editions, using the original text and artwork. |
| autonomous car technology companies: The Work of the Future David H. Autor, David A. Mindell, Elisabeth Reynolds, 2022-06-21 Why the United States lags behind other industrialized countries in sharing the benefits of innovation with workers and how we can remedy the problem. The United States has too many low-quality, low-wage jobs. Every country has its share, but those in the United States are especially poorly paid and often without benefits. Meanwhile, overall productivity increases steadily and new technology has transformed large parts of the economy, enhancing the skills and paychecks of higher paid knowledge workers. What’s wrong with this picture? Why have so many workers benefited so little from decades of growth? The Work of the Future shows that technology is neither the problem nor the solution. We can build better jobs if we create institutions that leverage technological innovation and also support workers though long cycles of technological transformation. Building on findings from the multiyear MIT Task Force on the Work of the Future, the book argues that we must foster institutional innovations that complement technological change. Skills programs that emphasize work-based and hybrid learning (in person and online), for example, empower workers to become and remain productive in a continuously evolving workplace. Industries fueled by new technology that augments workers can supply good jobs, and federal investment in R&D can help make these industries worker-friendly. We must act to ensure that the labor market of the future offers benefits, opportunity, and a measure of economic security to all. |
| autonomous car technology companies: Ludicrous Edward Niedermeyer, 2019-08-20 Tesla is the most exciting car company in a generation . . . but can it live up to the hype? Tesla Motors and CEO Elon Musk have become household names, shaking up the staid auto industry by creating a set of innovative electric vehicles that have wowed the marketplace and defied conventional wisdom. The company's market valuation now rivals that of long-established automakers, and, to many industry observers, Tesla is defining the future of the industry. But behind the hype, Tesla has some serious deficiencies that raise questions about its sky-high valuation, and even its ultimate survival. Tesla's commitment to innovation has led it to reject the careful, zero-defects approach of other car manufacturers, even as it struggles to mass-produce cars reliably, and with minimal defects. While most car manufacturers struggle with the razor-thin margins of mid-priced sedans, Tesla's strategy requires that the Model 3 finally bring it to profitability, even as the high-priced Roadster and Model S both lost money. And Tesla's approach of continually focusing on the future, even as commitments and deadlines are repeatedly missed, may ultimately test the patience of all but its most devoted fans. In Ludicrous, journalist and auto industry analyst Edward Niedermeyer lays bare the disconnect between the popular perception of Tesla and the day-to-day realities of the company—and the cars it produces. Blending original reporting and never-before-published insider accounts with savvy industry analysis, Niedermeyer tells the story of Tesla as it's never been told before—with clear eyes, objectivity and insight. |
| autonomous car technology companies: Applied Deep Learning and Computer Vision for Self-Driving Cars Sumit Ranjan, Dr. S. Senthamilarasu, 2020-08-14 Explore self-driving car technology using deep learning and artificial intelligence techniques and libraries such as TensorFlow, Keras, and OpenCV Key FeaturesBuild and train powerful neural network models to build an autonomous carImplement computer vision, deep learning, and AI techniques to create automotive algorithmsOvercome the challenges faced while automating different aspects of driving using modern Python libraries and architecturesBook Description Thanks to a number of recent breakthroughs, self-driving car technology is now an emerging subject in the field of artificial intelligence and has shifted data scientists' focus to building autonomous cars that will transform the automotive industry. This book is a comprehensive guide to use deep learning and computer vision techniques to develop autonomous cars. Starting with the basics of self-driving cars (SDCs), this book will take you through the deep neural network techniques required to get up and running with building your autonomous vehicle. Once you are comfortable with the basics, you'll delve into advanced computer vision techniques and learn how to use deep learning methods to perform a variety of computer vision tasks such as finding lane lines, improving image classification, and so on. You will explore the basic structure and working of a semantic segmentation model and get to grips with detecting cars using semantic segmentation. The book also covers advanced applications such as behavior-cloning and vehicle detection using OpenCV, transfer learning, and deep learning methodologies to train SDCs to mimic human driving. By the end of this book, you'll have learned how to implement a variety of neural networks to develop your own autonomous vehicle using modern Python libraries. What you will learnImplement deep neural network from scratch using the Keras libraryUnderstand the importance of deep learning in self-driving carsGet to grips with feature extraction techniques in image processing using the OpenCV libraryDesign a software pipeline that detects lane lines in videosImplement a convolutional neural network (CNN) image classifier for traffic signal signsTrain and test neural networks for behavioral-cloning by driving a car in a virtual simulatorDiscover various state-of-the-art semantic segmentation and object detection architecturesWho this book is for If you are a deep learning engineer, AI researcher, or anyone looking to implement deep learning and computer vision techniques to build self-driving blueprint solutions, this book is for you. Anyone who wants to learn how various automotive-related algorithms are built, will also find this book useful. Python programming experience, along with a basic understanding of deep learning, is necessary to get the most of this book. |
| autonomous car technology companies: Autonomous Vehicles Clifford Winston, Quentin Karpilow, 2020-06-30 Better public policies can make the road smoother for self-driving vehicles and the society that soon will depend on them. Whether you find the idea of autonomous vehicles to be exciting or frightening, the truth is that they will soon become a significant everyday presence on streets and highways—not just a novel experiment attracting attention or giggles and sparking fears of runaway self-driving cars. The emergence of these vehicles represents a watershed moment in the history of transportation. If properly encouraged, this innovation promises not only to vastly improve road travel and generate huge benefits to travelers and businesses, but to also benefit the entire economy by reducing congestion and virtually eliminating vehicle accidents. The impacts of autonomous vehicles on land use, employment, and public finance are likely to be mixed. But widely assumed negative effects are generally overstated because they ignore plausible adjustments by the public and policymakers that could ameliorate them. This book by two transportation experts argues that policy analysts can play an important and constructive role in identifying and analyzing important policy issues and necessary steps to ease the advent of autonomous vehicles. Among the actions that governments must take are creating a framework for vehicle testing, making appropriate investments in the technology of highway networks to facilitate communication involving autonomous vehicles, and reforming pricing and investment policies to enable operation of autonomous vehicles to be safe and efficient. The authors argue that policymakers at all levels of government must address these and other issues sooner rather than later. Prompt and effective actions outlined in this book are necessary to ensure that autonomous vehicles will be safe and efficient when the public begins to adopt them as replacements for current vehicles. |
| autonomous car technology companies: Labor Impacts Gail Bliss, 1978 |
| autonomous car technology companies: Why We Drive Matthew B. Crawford, 2020-06-09 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. |
| autonomous car technology companies: Road Vehicle Automation 5 Gereon Meyer, Sven Beiker, 2018-06-26 This is the fifth volume of a sub series on Road Vehicle Automation published within the Lecture Notes in Mobility. Like in previous editions, scholars, engineers and analysts from all around the world have contributed chapters covering human factors, ethical, legal, energy and technology aspects related to automated vehicles, as well as transportation infrastructure and public planning. The book is based on the Automated Vehicles Symposium which was hosted by the Transportation Research Board (TRB) and the Association for Unmanned Vehicle Systems International (AUVSI) in San Francisco, California (USA) in July 2017. |
| autonomous car technology companies: Measuring Automated Vehicle Safety Laura Fraade-Blanar, Marjory S. Blumenthal, James M. Anderson, Nidhi Kalra, 2018 This report presents a framework for measuring safety in automated vehicles (AVs): how to define safety for AVs, how to measure safety for AVs, and how to communicate what is learned or understood about AVs. |
| autonomous car technology companies: Intelligent Vehicle Technology and Trends Richard Bishop, 2005 This groundbreaking resource offers you a comprehensive overview of cutting-edge intelligent vehicle (IV) systems aimed at providing enhanced safety, greater productivity, and less stress for drivers. Rather than bogging you down with difficult technical discourse, this easy-to-understand book presents a conceptual and realistic view of how IV systems work and the issues involved with their introduction into road vehicles. Helping you apply your skills to this emerging field, this practical reference offers you a thorough understanding of how electronics and electronic systems must work within automobiles, heavy trucks, and buses. |
| autonomous car technology companies: Driverless Hod Lipson, Melba Kurman, 2016-09-30 When human drivers let intelligent software take the wheel: the beginning of a new era in personal mobility. “Smart, wide-ranging, [and] nontechnical.” —Los Angeles Times “Anyone who wants to understand what's coming must read this fascinating book.” —Martin Ford, New York Times bestselling author of Rise of the Robots In the year 2014, Google fired a shot heard all the way to Detroit. Google's newest driverless car had no steering wheel and no brakes. The message was clear: cars of the future will be born fully autonomous, with no human driver needed. In the coming decade, self-driving cars will hit the streets, rearranging established industries and reshaping cities, giving us new choices in where we live and how we work and play. In this book, Hod Lipson and Melba Kurman offer readers insight into the risks and benefits of driverless cars and a lucid and engaging explanation of the enabling technology. Recent advances in software and robotics are toppling long-standing technological barriers that for decades have confined self-driving cars to the realm of fantasy. A new kind of artificial intelligence software called deep learning gives cars rapid and accurate visual perception. Human drivers can relax and take their eyes off the road. When human drivers let intelligent software take the wheel, driverless cars will offer billions of people all over the world a safer, cleaner, and more convenient mode of transportation. Although the technology is nearly ready, car companies and policy makers may not be. The authors make a compelling case for why government, industry, and consumers need to work together to make the development of driverless cars our society's next “Apollo moment.” |
| autonomous car technology companies: Autonomous Vehicle Technology James M. Anderson, Nidhi Kalra, Karlyn D. Stanley, Paul Sorensen, Constantine Samaras, Oluwatobi A. Oluwatola, 2014-01-10 Autonomous vehicle technology has the potential to significantly improve social welfare. This report addresses the numerous legislative, regulatory, and liability issues this technology will raise. |
| autonomous car technology companies: Driving Honda Jeffrey Rothfeder, 2014-07-10 For decades there have been two iconic Japanese auto companies. One has been endlessly studied and written about. The other has been generally underappreciated and misunderstood. Until now. Since its birth as a motorcycle company in 1949, Honda has steadily grown into the world's fifth largest automaker and top engine manufacturer, as well as one of the most beloved, most profitable, and most consistently innovative multinational corporations. What drives the company that keeps creating and improving award-winning and bestselling models like the Civic, Accord, Odyssey, CR-V, and Pilot? According to Jeffrey Rothfeder - the first journalist allowed behind Honda's infamously private doors - what truly distinguishes Honda from its competitors, especially archrival Toyota, is a deep commitment to a set of unorthodox management tenets. The Honda Way, as insiders call it, is notable for decentralization over corporate control, simplicity over complexity and unyielding cynicism toward the status quo and whatever is assumed to be the truth - ideas embedded in the DNA of the company by its colourful founder Soichiro Honda, sixty-five years ago. With dozens of interviews of Honda executives, engineers,and frontline employees, Rothfeder shows how the company has developed and maintained its unmatched culture of innovation, resilience, and flexibility - and how it exported that culture to other countries that are strikingly different from Japan, establishing locally controlled operations in each region where it lays down roots. For instance, Rothfeder reports on life at a Honda factory in the tiny town of Lincoln, Alabama. When the American workers were trained to follow the Honda Way as a self-sufficient outpost of the global company, their plant pioneered a new model for manufacturing in America. As Soichiro Honda himself liked to say, Success can be achieved only through repeated failure and introspection. In fact, success represents one percent of your work, which results only from the ninety-nine percent that is called failure. |
| autonomous car technology companies: Road Vehicle Automation 3 Gereon Meyer, Sven Beiker, 2016-07-01 This edited book comprises papers about the impacts, benefits and challenges of connected and automated cars. It is the third volume of the LNMOB series dealing with Road Vehicle Automation. The book comprises contributions from researchers, industry practitioners and policy makers, covering perspectives from the U.S., Europe and Japan. It is based on the Automated Vehicles Symposium 2015 which was jointly organized by the Association of Unmanned Vehicle Systems International (AUVSI) and the Transportation Research Board (TRB) in Ann Arbor, Michigan, in July 2015. The topical spectrum includes, but is not limited to, public sector activities, human factors, ethical and business aspects, energy and technological perspectives, vehicle systems and transportation infrastructure. This book is an indispensable source of information for academic researchers, industrial engineers and policy makers interested in the topic of road vehicle automation. |
| autonomous car technology companies: Confessions of a Recovering Engineer Charles L. Marohn, Jr., 2021-08-26 Discover insider secrets of how America’s transportation system is designed, funded, and built – and how to make it work for your community In Confessions of a Recovering Engineer: Transportation for a Strong Town, renowned speaker and author of Strong Towns Charles L. Marohn Jr. delivers an accessible and engaging exploration of America’s transportation system, laying bare the reasons why it no longer works as it once did, and how to modernize transportation to better serve local communities. You’ll discover real-world examples of poor design choices and how those choices have dramatic and tragic effects on the lives of the people who use them. You’ll also find case studies and examples of design improvements that have revitalized communities and improved safety. This important book shows you: The values of the transportation professions, how they are applied in the design process, and how those priorities differ from those of the public. How the standard approach to transportation ensures the maximum amount of traffic congestion possible is created each day, and how to fight that congestion on a budget. Bottom-up techniques for spending less and getting higher returns on transportation projects, all while improving quality of life for residents. Perfect for anyone interested in why transportation systems work – and fail to work – the way they do, Confessions of a Recovering Engineer is a fascinating insider’s peek behind the scenes of America’s transportation systems. |
| autonomous car technology companies: Fighting Traffic Peter D. Norton, 2011-01-21 The fight for the future of the city street between pedestrians, street railways, and promoters of the automobile between 1915 and 1930. Before the advent of the automobile, users of city streets were diverse and included children at play and pedestrians at large. By 1930, most streets were primarily a motor thoroughfares where children did not belong and where pedestrians were condemned as “jaywalkers.” In Fighting Traffic, Peter Norton argues that to accommodate automobiles, the American city required not only a physical change but also a social one: before the city could be reconstructed for the sake of motorists, its streets had to be socially reconstructed as places where motorists belonged. It was not an evolution, he writes, but a bloody and sometimes violent revolution. Norton describes how street users struggled to define and redefine what streets were for. He examines developments in the crucial transitional years from the 1910s to the 1930s, uncovering a broad anti-automobile campaign that reviled motorists as “road hogs” or “speed demons” and cars as “juggernauts” or “death cars.” He considers the perspectives of all users—pedestrians, police (who had to become “traffic cops”), street railways, downtown businesses, traffic engineers (who often saw cars as the problem, not the solution), and automobile promoters. He finds that pedestrians and parents campaigned in moral terms, fighting for “justice.” Cities and downtown businesses tried to regulate traffic in the name of “efficiency.” Automotive interest groups, meanwhile, legitimized their claim to the streets by invoking “freedom”—a rhetorical stance of particular power in the United States. Fighting Traffic offers a new look at both the origins of the automotive city in America and how social groups shape technological change. |
| autonomous car technology companies: Traffic Tom Vanderbilt, 2009-08-11 Driving is a fact of life. We are all spending more and more time on the road, and traffic is an issue we face everyday. This book will make you think about it in a whole new light. We have always had a passion for cars and driving. Now Traffic offers us an exceptionally rich understanding of that passion. Vanderbilt explains why traffic jams form, outlines the unintended consequences of our attempts to engineer safety and even identifies the most common mistakes drivers make in parking lots. Based on exhaustive research and interviews with driving experts and traffic officials around the globe, Traffic gets under the hood of the quotidian activity of driving to uncover the surprisingly complex web of physical, psychological and technical factors that explain how traffic works. |
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