Autonomous Vehicles Volume 2

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Smart Vehicles for Communication, Volume 2

Author : Romil Rawat,Purvee Bhardwaj,Upinder Kaur,Shrikant Telang,Mukesh Chouhan,K. Sakthidasan Sankaran
Publisher : John Wiley & Sons
Page : 356 pages
File Size : 49,8 Mb
Release : 2023-01-05
Category : Technology & Engineering
ISBN : 9781394152254

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Smart Vehicles for Communication, Volume 2 by Romil Rawat,Purvee Bhardwaj,Upinder Kaur,Shrikant Telang,Mukesh Chouhan,K. Sakthidasan Sankaran Pdf

AUTONOMOUS VEHICLES The companion to Autonomous Vehicles Volume 1: Using Machine Intelligence, this second volume in the two-volume set covers intelligent techniques utilized for designing, controlling, and managing vehicular systems based on advanced algorithms of computing like machine learning, artificial intelligence, data analytics, and Internet of Things (IoT) with prediction approaches to avoid accidental damages, security threats, and theft. Besides communicating with other vehicles, self-driving cars connected to a 5G network will also be able to communicate with different infrastructure elements that make up our roads and other transportation and communication systems. Similarly, an unmanned aerial vehicle (UAV), an aircraft without any human pilot, crew, or passengers on board, can operate under remote control by a human operator, as a remotely-piloted aircraft (RPA), or with various degrees of autonomy. These include autopilot assistance and fully autonomous aircraft that have no provision for human intervention. Transportation is a necessary, but often painful process. With fully autonomous driving, passengers will be freed to accomplish their own goals, turning the dead hours of driving into fruitful hours of learning, working, engaging, and relaxing. Similarly, UAVs can perform functions that human-operated aircraft cannot, whether because of the environment or high-risk situations. The purpose of the book is to present the needs, designs, and applications of autonomous vehicles. The topics covered range from mechanical engineering to computer science engineering, both areas playing vital roles in programming, managing, generating alerts, and GPS position, artificial intelligence-based prediction of path and events, as well as other high-tech tools, are covered in this book, as well. Whether for the student, veteran engineer, or another industry professional, this book, and its companion volume, are must-haves for any library.

Autonomous Driving

Author : Markus Maurer,J. Christian Gerdes,Barbara Lenz,Hermann Winner
Publisher : Springer
Page : 706 pages
File Size : 49,8 Mb
Release : 2016-05-21
Category : Technology & Engineering
ISBN : 9783662488478

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Autonomous Driving by Markus Maurer,J. Christian Gerdes,Barbara Lenz,Hermann Winner Pdf

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".

Sensing and Control for Autonomous Vehicles

Author : Thor I. Fossen,Kristin Y. Pettersen,Henk Nijmeijer
Publisher : Springer
Page : 518 pages
File Size : 49,6 Mb
Release : 2017-05-26
Category : Technology & Engineering
ISBN : 9783319553726

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Sensing and Control for Autonomous Vehicles by Thor I. Fossen,Kristin Y. Pettersen,Henk Nijmeijer Pdf

This edited volume includes thoroughly collected on sensing and control for autonomous vehicles. Guidance, navigation and motion control systems for autonomous vehicles are increasingly important in land-based, marine and aerial operations. Autonomous underwater vehicles may be used for pipeline inspection, light intervention work, underwater survey and collection of oceanographic/biological data. Autonomous unmanned aerial systems can be used in a large number of applications such as inspection, monitoring, data collection, surveillance, etc. At present, vehicles operate with limited autonomy and a minimum of intelligence. There is a growing interest for cooperative and coordinated multi-vehicle systems, real-time re-planning, robust autonomous navigation systems and robust autonomous control of vehicles. Unmanned vehicles with high levels of autonomy may be used for safe and efficient collection of environmental data, for assimilation of climate and environmental models and to complement global satellite systems. The target audience primarily comprises research experts in the field of control theory, but the book may also be beneficial for graduate students.

Autonomous Vehicles

Author : Nathan Baker
Publisher : Unknown
Page : 128 pages
File Size : 50,7 Mb
Release : 2021-10-26
Category : Electronic
ISBN : 1552215806

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Autonomous Vehicles by Nathan Baker Pdf

Much of North American society has been built around automobiles -- our cities are designed around them; our economy is propelled by them. Therefore, the impact and benefit of autonomous vehicles to people, to the environment, and to society as a whole will be profound as they become more commonplace. This idea once seemed futuristic and far-fetched, but every day we come closer to realizing such technology in our daily lives. Proper automation will allow vehicles to move more quickly and safely by removing the risk of human error, and the law will need to adapt to this new reality. Civil liability may shift from drivers to manufacturers. Criminal acts will be changed by a "new normal" surrounding criminal intent. How would all of this be affected, for example, by a person's decision to take control of the vehicle rather than rely on automation? What if the person relies only on automation? Both are potentially risky. Over the coming decades, the law surrounding motor vehicles is going to go through profound changes as autonomous vehicles become common and issues of law deriving from advances in technology inevitably arise. The definition of autonomywill be debated as we move to find new solutions to age-old problems, ranging from gridlock to human error. With the transition to, and ongoing evolution of, autonomous vehicles, the law will have to be modified accordingly. A new area of law will be needed, and with it, an assessment of how the current law can be adapted. Autonomous Vehicles: Self-Driving Cars and the Law of Canadawill serve as a ready resource as courts and litigants begin the journey down this new road.

Autonomous Driving

Author : Andreas Herrmann,Walter Brenner,Rupert Stadler
Publisher : Emerald Group Publishing
Page : 460 pages
File Size : 42,8 Mb
Release : 2018-03-26
Category : Business & Economics
ISBN : 9781787148345

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Autonomous Driving by Andreas Herrmann,Walter Brenner,Rupert Stadler Pdf

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.

Creating Autonomous Vehicle Systems, Second Edition

Author : Liu Shaoshan,Li Liyun,Tang Jie,Wu Shuang,Gaudiot Jean-Luc
Publisher : Springer Nature
Page : 221 pages
File Size : 55,9 Mb
Release : 2022-05-31
Category : Mathematics
ISBN : 9783031018053

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Creating Autonomous Vehicle Systems, Second Edition by Liu Shaoshan,Li Liyun,Tang Jie,Wu Shuang,Gaudiot Jean-Luc Pdf

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.

Creating Autonomous Vehicle Systems

Author : Shaoshan Liu,Liyun Li,Jie Tang,Shuang Wu,Jean-Luc Gaudiot
Publisher : Morgan & Claypool Publishers
Page : 198 pages
File Size : 45,9 Mb
Release : 2017-10-25
Category : Computers
ISBN : 9781681730080

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Creating Autonomous Vehicle Systems by Shaoshan Liu,Liyun Li,Jie Tang,Shuang Wu,Jean-Luc Gaudiot Pdf

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.

Creating Autonomous Vehicle Systems

Author : Shaoshan Liu,Liyun Li,Jie Tang,Shuang Wu,Jean-Luc Gaudiot
Publisher : Unknown
Page : 216 pages
File Size : 40,9 Mb
Release : 1901
Category : Automated vehicles
ISBN : 1681739380

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Creating Autonomous Vehicle Systems by Shaoshan Liu,Liyun Li,Jie Tang,Shuang Wu,Jean-Luc Gaudiot Pdf

"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." --Descripción del editor.

Driverless

Author : Hod Lipson,Melba Kurman
Publisher : MIT Press
Page : 323 pages
File Size : 49,9 Mb
Release : 2017-09-15
Category : Transportation
ISBN : 9780262534475

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Driverless by Hod Lipson,Melba Kurman Pdf

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.”

Networked Control Systems for Connected and Automated Vehicles

Author : Alexander Guda
Publisher : Springer Nature
Page : 2004 pages
File Size : 40,5 Mb
Release : 2022-11-15
Category : Technology & Engineering
ISBN : 9783031110511

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Networked Control Systems for Connected and Automated Vehicles by Alexander Guda Pdf

Control of large-scale distributed energy systems over communication networks is an important topic with many application domains. The book presents novel concepts of distributed control for networked and cyber-physical systems (CPS), such as smart industrial production lines, smart energy grids, and autonomous vehicular systems. It focuses on new solutions in managing data and connectivity to support connected and automated vehicles (CAV). The book compiles original research papers presented at the conference “Networked Control Systems for Connected and Automated Vehicles” (Russia). The latest connected and automated vehicle technologies for next generation autonomous vehicles are presented. The book sets new goals for the standardization of the scientific results obtained and the advancement to the level of full autonomy and full self-driving (FSD). The book presents the latest research in artificial intelligence, assessing virtual environments, deep learning systems, and sensor fusion for automated vehicles. Particular attention is paid to new safety standards, safety and security systems, and control of epidemic spreading over networks. The issues of building modern transport infrastructure facilities are also discussed in the articles presented in this book. The book is of considerable interest to scientists, researchers, and graduate students in the field of transport systems, as well as for managers and employees of companies using or producing equipment for these systems.

Autonomous Vehicles

Author : A. Mary Sowjanya,Syed Imran Patel,Varshali Jaiswal,Imran Khan,Allam Balaram
Publisher : John Wiley & Sons
Page : 324 pages
File Size : 42,8 Mb
Release : 2023-01-05
Category : Technology & Engineering
ISBN : 9781119871958

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Autonomous Vehicles by A. Mary Sowjanya,Syed Imran Patel,Varshali Jaiswal,Imran Khan,Allam Balaram Pdf

AUTONOMOUS VEHICLES Addressing the current challenges, approaches and applications relating to autonomous vehicles, this groundbreaking new volume presents the research and techniques in this growing area, using Internet of Things (IoT), Machine Learning (ML), Deep Learning, and Artificial Intelligence (AI). This book provides and addresses the current challenges, approaches, and applications relating to autonomous vehicles, using Internet of Things (IoT), machine learning, deep learning, and Artificial Intelligence (AI) techniques. Several self-driving or autonomous (“driverless”) cars, trucks, and drones incorporate a variety of IoT devices and sensing technologies such as sensors, gyroscopes, cloud computing, and fog layer, allowing the vehicles to sense, process, and maintain massive amounts of data on traffic, routes, suitable times to travel, potholes, sharp turns, and robots for pipe inspection in the construction and mining industries. Few books are available on the practical applications of unmanned aerial vehicles (UAVs) and autonomous vehicles from a multidisciplinary approach. Further, the available books only cover a few applications and designs in a very limited scope. This new, groundbreaking volume covers real-life applications, business modeling, issues, and solutions that the engineer or industry professional faces every day that can be transformed using intelligent systems design of autonomous systems. Whether for the student, veteran engineer, or another industry professional, this book, and its companion volume, are must-haves for any library.

Autonomous Vehicle Driverless Self-Driving Cars and Artificial Intelligence

Author : Lance B. Eliot,Michael Eliot
Publisher : Lbe Press Publishing
Page : 252 pages
File Size : 46,5 Mb
Release : 2017-12-29
Category : Artificial intelligence
ISBN : 0692051023

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Autonomous Vehicle Driverless Self-Driving Cars and Artificial Intelligence by Lance B. Eliot,Michael Eliot Pdf

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.

Autonomous Vehicles

Author : Steven Van Uytsel,Danilo Vasconcellos Vargas
Publisher : Springer Nature
Page : 229 pages
File Size : 48,8 Mb
Release : 2020-12-21
Category : Law
ISBN : 9789811592553

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Autonomous Vehicles by Steven Van Uytsel,Danilo Vasconcellos Vargas Pdf

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.

Autonomous Vehicles

Author : George Dimitrakopoulos,Aggelos Tsakanikas,Elias Panagiotopoulos
Publisher : Elsevier
Page : 202 pages
File Size : 45,5 Mb
Release : 2021-04-15
Category : Transportation
ISBN : 9780323901383

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Autonomous Vehicles by George Dimitrakopoulos,Aggelos Tsakanikas,Elias Panagiotopoulos Pdf

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

Policy Implications of Autonomous Vehicles

Author : Anonim
Publisher : Academic Press
Page : 352 pages
File Size : 44,7 Mb
Release : 2020-08-15
Category : Law
ISBN : 9780128201916

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Policy Implications of Autonomous Vehicles by Anonim Pdf

Policy Implications of Autonomous Vehicles, Volume Five in the Advances in Transport Policy and Planning series systematically reviews policy relevant implications of AVs and the associated possible policy responses, and discusses future avenues for policy making and research. It comprises 13 chapters discussing: (a) short-term implications of AVs for traffic flow, human-automated bus systems interaction, cyber-security and safety, cybersecurity certification and auditing, non-commuting journeys; (b) long-term implications of AVs for carbon dioxide (CO2) emissions and energy, health and well-being, data protection, ethics, governance; (c) implications of AVs for the maritime industry and urban deliveries; and (d) overall synthesis and conclusions. Provides the authority and expertise of leading contributors from an international board of authors Presents the latest release in the Advances in Transport Policy and Planning series Updated release includes the latest information on the policy implications of autonomous vehicles