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Author: Maryam Zehtabchi
Publisher: WIPO
ISBN:
Category : Law
Languages : en
Pages : 36
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Book Description
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.
Author: Maryam Zehtabchi
Publisher: WIPO
ISBN:
Category : Law
Languages : en
Pages : 36
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Book Description
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.
Author: Laura Fraade-Blanar
Publisher:
ISBN: 9781977401649
Category : Technology & Engineering
Languages : en
Pages : 0
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Book Description
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.
Author: James M. Anderson
Publisher: Rand Corporation
ISBN: 0833084372
Category : Transportation
Languages : en
Pages : 215
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Book Description
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.
Author: Jack Stilgoe
Publisher: Springer Nature
ISBN: 303032320X
Category : Political Science
Languages : en
Pages : 78
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Book Description
"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.
Author: Steven Van Uytsel
Publisher: Springer Nature
ISBN: 9811592551
Category : Law
Languages : en
Pages : 229
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Book Description
This edited book aims to address challenges facing the deployment of autonomous vehicles. Autonomous vehicles were predicted to hit the road by 2017. Even though a high degree of automation may have been achieved, vehicles that can drive autonomously under all circumstances are not yet commercially available, and the predictions have been adjusted. Now, experts even say that we are still decades away from fully autonomous vehicles. In this volume, the authors form a multidisciplinary team of experts to discuss some of the reasons behind this delay. The focus is on three areas: business, technology, and law. The authors discuss how the traditional car manufacturers have to devote numerous resources to the development of a new business model, in which the sole manufacturing of vehicles may no longer be sufficient. In addition, the book seeks to introduce how technological challenges are creating a shift toward connected autonomous vehicles. Further, it provides insight into how regulators are responding to the insufficiently tested technology and how lawyers try to answer the liability question for accidents with these autonomous vehicles.
Author: Shaoshan Liu
Publisher: Morgan & Claypool Publishers
ISBN: 1681731673
Category : Computers
Languages : en
Pages : 285
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Book Description
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.
Author: Liu Shaoshan
Publisher: Springer Nature
ISBN: 3031018028
Category : Mathematics
Languages : en
Pages : 192
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Book Description
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.
Author: Lance B. Eliot
Publisher: Lbe Press Publishing
ISBN: 9780692051023
Category : Artificial intelligence
Languages : en
Pages : 252
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Book Description
Based on their systems expertise and their state-of-the-art research, the authors of this outstanding book explore practical and forward-thinking aspects about the emergence of driverless self-driving cars. Artificial Intelligence (AI) and Machine Learning are explored as a key to breakthroughs for self-driving car high-tech innovations. In addition, the authors cover the business, economic, and societal considerations about these autonomous vehicles. This duo has combined their key talents into a vital book packed with new insights and transformational ideas.
Author: Liu Shaoshan
Publisher: Springer Nature
ISBN: 3031018052
Category : Mathematics
Languages : en
Pages : 221
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Book Description
This book is one of the first technical overviews of autonomous vehicles written for a general computing and engineering audience. The authors share their practical experiences designing 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 as to its future 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, new algorithms can be tested so as to update the HD map—in addition to training better recognition, tracking, and decision models. Since the first edition of this book was released, many universities have adopted it in their autonomous driving classes, and the authors received many helpful comments and feedback from readers. Based on this, the second edition was improved by extending and rewriting multiple chapters and adding two commercial test case studies. In addition, a new section entitled “Teaching and Learning from this Book” was added to help instructors better utilize this book in their classes. The second edition captures the latest advances in autonomous driving and that it also presents usable real-world case studies to help readers better understand how to utilize their lessons in commercial autonomous driving projects. 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 extensive references for an effective, deeper exploration of the various technologies.
Author: Mamy Traore
Publisher:
ISBN:
Category : Automated vehicles
Languages : en
Pages : 59
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Book Description
"The transportation industry is undergoing an unprecedented revolution as researchers in the field expect the adoption of autonomous vehicles (AV) in a not-too-distant future. Even though there is no fully automated vehicle on the road currently, several features of driver’s assistance (e.g., lane departure warning, rear cameras, blind-spot warning) are integrated into most of the recent vehicles. It is therefore fundamental for industry leaders and policymakers to comprehend the state-of-the-art of AV innovation. The main purpose of this study is to assess the current status of AV innovations in the U.S. market. My analysis, based on more than 2,000 patents retrieved from the United States Patent and Trademark Office’s (USPTO) PatentsView database, has five main findings. First, there is a significant increase in autonomous vehicle patents approved by USPTO since 2010. Between 2010 to 2018, the number of patents increased by about 18 folds from 27 to 516. Secondly, in terms of AV innovators, the new entrant high-tech companies are taking over the incumbent automakers in the AV technologies. Third, industries involved in AV innovation have unequal levels of development in different technology sectors and fields. High-tech companies are leading in smart environment technologies. The incumbent automakers had an established predominance in the vehicle platform technologies. Fourth, of all the patents approved by the USPTO, about two-thirds are held by US companies, and one third held by foreign companies primarily from Asia and Europe. Fifth, in the US, California is the epicenter of AV innovation with nearly 40 percent of US patents. Michigan holds 18 percent of the total, given the presence of traditional automobile manufacturers including Ford and GM."--Abstract.
