Autonomous Driving


Autonomous Driving
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Autonomous Driving


Autonomous Driving
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Author : Markus Maurer
language : en
Publisher: Springer
Release Date : 2016-05-21

Autonomous Driving written by Markus Maurer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-21 with Technology & Engineering categories.


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 Driving


Autonomous Driving
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Author : Andreas Herrmann
language : en
Publisher: Emerald Group Publishing
Release Date : 2018-03-26

Autonomous Driving written by Andreas Herrmann and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-26 with Business & Economics categories.


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 Vehicles


Autonomous Vehicles
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2021-02-03

Autonomous Vehicles written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-03 with Computers categories.


Elon Musk thought that his company Tesla will have fully autonomous cars ready by the end of 2020. "There are no fundamental challenges left," he said recently. "There are a number of minor issues. And then there's a struggle to solve all these little problems and bring the whole thing together." Although the technology to allow a car to complete a journey without human interference (what the industry calls "level 5 autonomy") can move quickly, the development of a vehicle that can do so safely and legally is another matter. The novelty of autonomous technology is intended to turn our legal and social ties into daily transport. Importantly, without a driver behind the wheel, autonomous vehicles raise concerns about the liability and responsibility for the conduct of the lane. Therefore, this book is structured to answer many questions about autonomous vehicles and make you not only understand all the aspects of this emerging technology, but master the discussions and debates about the following topics: Chapter One: The rise of autonomous vehicles Autonomous vehicles become reality History of Autonomous vehicles Road Items Weights Society of Automotive Engineers (SAE International) Chapter Two: Tesla Autopilot AutoPilot AI Advanced Sensor Coverage Wide, Main and Narrow Forward Cameras Wide Main Narrow Forward Looking Side Cameras Rearward Looking Side Cameras Rear View Camera Radar Ultrasonic Sensors Processing Power Increased 40x Tesla Vision Autopilot Navigate on Autopilot Autosteer+ Smart Summon Full Self-Driving Capability From Home To your Destination Chapter Three: A level-by-level explainer of autonomous vehicles Classification System For The Development Of Innovations The J3016 Guidelines Six SAE level Criticism of SAE classification Level 0: No automation Level 1: Driver assistance Level 2: Partial automation Level 3: Conditional automation Level 4: High automation Level 5: Full automation Chapter Four: Main Connectivity Specifications Of Autonomous Vehicles Vehicle-To-Everything Architectures must be both redundant and real-time. The demand for high-speed data would increase only Security and other applications Include external connectivity Autonomous driving efficiency and reliability are non-negotiable More and more electrified cars would need a new approach to safety Next generation Car Design Would Need Miniaturized Solutions Co-creation of the future of mobility Chapter Five: Building Passenger Trust Is Key Technology for self-driving cars is accelerating fast, but our driverless future isn't going anywhere if people don't trust it. rules of the road implicit laws are more challenging The math-based AV safety model What is Sensitive Protection Responsibility? RSS is compatible with other AV systems How are AVs safely sharing the road with human drivers? 01 Safe distance: Don't hit the car in front of you 02 Cutting in: Don't cut it in recklessly 03 Right of Way: Right of way is given, not taken 04 Limited Visibility: Be cautious in areas with limited visibility 05 Avoid Crashes: If you can avoid a crash without causing another one, you must Moving past the miles-driven Improving road safety with RSS today RSS to gain support Baidu Valeo China ITS Alliance RAND Corp. The Arizona Institute for Automated Mobility Joint Research Institutes Chapter Six: The reasons Autonomous vehicles still aren’t on our roads The Gap Between the Invention and The Application Sensors Machine Learning The Open Road Regulations Social Acceptability Chapter Seven: Legal frameworks and other national initiatives The United States European Union Membership United Arab Emirates Japan Australia Chapter Eight: Liability, ethics and human rights implications The novelty of autonomous vehicles The critical debate Autonomy Threats Chapter Nine: Leading opinions on an ethical rollout for autonomous vehicles The Three Laws of Robotics The Ethical Dilemmas of Autonomy The Worst-Case Scenario The Trolley Issue Chapter Ten: Social and economic implications Roads Safety Vehicles Ownership and Vehicles Insurance Jobs Chapter Eleven: Ongoing research and impediments to autonomous vehicle development Research and Development The Social Acceptance of Autonomous Vehicles Chapter Twelve: The Sensor Types Drive Autonomous Vehicles Multiple Redundant Sensor Systems Overview of the study SAE Levels Short DESCRIPTIONS No car manufacturer has reached level 3 or higher Which sensors are needed? Camera and LIDAR Systems Cameras Back and 360° cameras Front-Facing Camera Systems RADAR Sensor LiDAR Summary and insight



Self Driving Cars


Self Driving Cars
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Author : Michael Fallon
language : en
Publisher: Twenty-First Century Books (Tm)
Release Date : 2018-08

Self Driving Cars written by Michael Fallon and has been published by Twenty-First Century Books (Tm) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08 with Young Adult Nonfiction categories.


"Author Fallon presents a history of how the technology used in self-driving cars has developed, identifies recent technological gains, and surveys recent controversies surrounding the potential mass adoption of self-driving cars."--Provided by publisher.



Fully Autonomous Vehicles


Fully Autonomous Vehicles
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Author : Michael Nikowitz
language : en
Publisher: epubli
Release Date : 2015-10-12

Fully Autonomous Vehicles written by Michael Nikowitz and has been published by epubli this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-12 with Transportation categories.


Since the invention of the modern car in 1886 by Karl Benz, it has been bringing pleasure to every one of us. For nearly 130 years, the automotive industry has been a force for innovation and economic growth. Now, in the 21st century, the pace of innovation is speeding up and the automotive sector is facing a new kind of technological revolution as it approaches "fully autonomous vehicles". Self-driving vehicles clearly impact the experience of passengers. Sooner or later, it may become possible for automobiles to drive autonomously and successfully to their destinations. How will this technology change the relationship between people and their automobiles? How will self-driving vehicles change the transportation sector and our freedom of mobility as we know it today? If autonomous cars succeed, how will they change our world? This book has a focus on autonomous driving from various perspectives; it looks at what an autonomous car is and how it may come to be commonplace on our roads, as well as the factors that could prevent its development and adoption. It also reviews the potential benefits of these vehicles and how they might impact different aspects of our lives. The book also examines the challenges and hurdles that face driverless vehicles and considers some solutions to these obstacles to enable successful market penetration. Aside from the social and economic consequences of autonomous vehicles, this book also emphasizes the technical point of view. It describes the technological inventions and engineering concepts which are necessary to operate self-driving vehicles. In summary, this book provides a comprehensive overview of the current state of the art in driverless cars and makes some projections for the future. Autonomous cars no longer exist merely in the minds of children and science fiction writers. They are real and will be on roads sooner than you think



Self Driving Cars


Self Driving Cars
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Author : Haydn Sonnad
language : en
Publisher: Cherry Lake
Release Date : 2019-08-01

Self Driving Cars written by Haydn Sonnad and has been published by Cherry Lake this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-01 with Juvenile Nonfiction categories.


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.



Creating Autonomous Vehicle Systems


Creating Autonomous Vehicle Systems
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Author : Liu Shaoshan
language : en
Publisher: Springer Nature
Release Date : 2017-10-25

Creating Autonomous Vehicle Systems written by Liu Shaoshan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-25 with Mathematics categories.


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.



Human Like Decision Making And Control For Autonomous Driving


Human Like Decision Making And Control For Autonomous Driving
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Author : Peng Hang
language : en
Publisher: CRC Press
Release Date : 2022-07-25

Human Like Decision Making And Control For Autonomous Driving written by Peng Hang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-25 with Mathematics categories.


This book details cutting-edge research into human-like driving technology, utilising game theory to better suit a human and machine hybrid driving environment. Covering feature identification and modelling of human driving behaviours, the book explains how to design an algorithm for decision making and control of autonomous vehicles in complex scenarios. Beginning with a review of current research in the field, the book uses this as a springboard from which to present a new theory of human-like driving framework for autonomous vehicles. Chapters cover system models of decision making and control, driving safety, riding comfort and travel efficiency. Throughout the book, game theory is applied to human-like decision making, enabling the autonomous vehicle and the human driver interaction to be modelled using noncooperative game theory approach. It also uses game theory to model collaborative decision making between connected autonomous vehicles. This framework enables human-like decision making and control of autonomous vehicles, which leads to safer and more efficient driving in complicated traffic scenarios. The book will be of interest to students and professionals alike, in the field of automotive engineering, computer engineering and control engineering.



Autonomous Vehicles


Autonomous Vehicles
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Author : George Dimitrakopoulos
language : en
Publisher: Elsevier
Release Date : 2021-04-15

Autonomous Vehicles written by George Dimitrakopoulos and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-15 with Transportation categories.


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



Learning To Drive


Learning To Drive
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Author : David Michael Stavens
language : en
Publisher: Stanford University
Release Date : 2011

Learning To Drive written by David Michael Stavens and has been published by Stanford University this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.


Every year, 1.2 million people die in automobile accidents and up to 50 million are injured. Many of these deaths are due to driver error and other preventable causes. Autonomous or highly aware cars have the potential to positively impact tens of millions of people. Building an autonomous car is not easy. Although the absolute number of traffic fatalities is tragically large, the failure rate of human driving is actually very small. A human driver makes a fatal mistake once in about 88 million miles. As a co-founding member of the Stanford Racing Team, we have built several relevant prototypes of autonomous cars. These include Stanley, the winner of the 2005 DARPA Grand Challenge and Junior, the car that took second place in the 2007 Urban Challenge. These prototypes demonstrate that autonomous vehicles can be successful in challenging environments. Nevertheless, reliable, cost-effective perception under uncertainty is a major challenge to the deployment of robotic cars in practice. This dissertation presents selected perception technologies for autonomous driving in the context of Stanford's autonomous cars. We consider speed selection in response to terrain conditions, smooth road finding, improved visual feature optimization, and cost effective car detection. Our work does not rely on manual engineering or even supervised machine learning. Rather, the car learns on its own, training itself without human teaching or labeling. We show this "self-supervised" learning often meets or exceeds traditional methods. Furthermore, we feel self-supervised learning is the only approach with the potential to provide the very low failure rates necessary to improve on human driving performance.