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Creating Autonomous Vehicle Systems Second Edition

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Creating Autonomous Vehicle Systems Second Edition

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Author : Liu Shaoshan
language : en
Publisher: Springer Nature
Release Date : 2022-05-31

Creating Autonomous Vehicle Systems Second Edition 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 2022-05-31 with Mathematics categories.

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

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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.

Creating Autonomous Vehicle Systems

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Author : Shaoshan Liu
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2017-10-25

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

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.

Vehicle Systems From An Artificial Intelligence Perspective

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Author : Pavel Nedoma
language : en
Publisher: Eliva Press
Release Date : 2022-11-11

Vehicle Systems From An Artificial Intelligence Perspective written by Pavel Nedoma and has been published by Eliva Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-11 with categories.

This book is devoted to various forms of autonomous driving (AD) that will drastically transform the transportation of people and goods and enable urban areas to be redesigned, creating more livable and enjoyable spaces, thus meeting several demands simultaneously. Artificial intelligence (AI) takes a prominent position among the technological contributions making automated and connected driving safe, comfortable, efficient, and affordable. AI has found applications in various domains, from safety systems and simulation to monitoring the status of the driver and passengers. Some of these innovative aspects are discussed in this work. The as-yet unresolved technical challenges and constant endeavours around the world to advance this exciting technology have motivated the creation of this book. The book is structured into eight consequential chapters. It highlights the importance of control engineering, recent advances in environment sensing and perception, in-vehicle architectures, and reliable power computing as well as active and functional safety in AD. There is also a strong focus on validating and testing AD functions. The work concludes with a sample of relevant industry-driven research projects and industrial initiatives. The authors firmly believe that this book on the application of AI in autonomous vehicles (AV) provides a comprehensive overview of current and emerging technical challenges in the field and gives invaluable insights into industrial demands. The authors also hope the reader will be inspired by the collection of technical articles, selected project summaries, and introductions to renowned national and international initiatives.

Collaborative Fleet Maneuvering For Multiple Autonomous Vehicle Systems

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Author : Yuanzhe Wang
language : en
Publisher: Springer Nature
Release Date : 2022-09-21

Collaborative Fleet Maneuvering For Multiple Autonomous Vehicle Systems written by Yuanzhe Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-21 with Technology & Engineering categories.

This book presents theoretical foundations and technical implementation guidelines for multi-vehicle fleet maneuvering, which can be implemented by readers and can also be a basis for future research. As a research monograph, this book presents fundamental concepts, theories, and technologies for localization, motion planning, and control of multi-vehicle systems, which can be a reference book for researchers and graduate students from different levels. As a technical guide, this book provides implementation guidelines, pseudocode, and flow diagrams for practitioners to develop their own systems. Readers should have a preliminary knowledge of mobile robotics, state estimation and automatic control to fully understand the contents in this book. To make this book more readable and understandable, extensive experimental results are presented to support each chapter.

Engineering Autonomous Vehicles And Robots

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Author : Shaoshan Liu
language : en
Publisher: John Wiley & Sons
Release Date : 2020-03-02

Engineering Autonomous Vehicles And Robots written by Shaoshan Liu and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-02 with Computers categories.

Offers a step-by-step guide to building autonomous vehicles and robots, with source code and accompanying videos The first book of its kind on the detailed steps for creating an autonomous vehicle or robot, this book provides an overview of the technology and introduction of the key elements involved in developing autonomous vehicles, and offers an excellent introduction to the basics for someone new to the topic of autonomous vehicles and the innovative, modular-based engineering approach called DragonFly. Engineering Autonomous Vehicles and Robots: The DragonFly Modular-based Approach covers everything that technical professionals need to know about: CAN bus, chassis, sonars, radars, GNSS, computer vision, localization, perception, motion planning, and more. Particularly, it covers Computer Vision for active perception and localization, as well as mapping and motion planning. The book offers several case studies on the building of an autonomous passenger pod, bus, and vending robot. It features a large amount of supplementary material, including the standard protocol and sample codes for chassis, sonar, and radar. GPSD protocol/NMEA protocol and GPS deployment methods are also provided. Most importantly, readers will learn the philosophy behind the DragonFly modular-based design approach, which empowers readers to design and build their own autonomous vehicles and robots with flexibility and affordability. Offers progressive guidance on building autonomous vehicles and robots Provides detailed steps and codes to create an autonomous machine, at affordable cost, and with a modular approach Written by one of the pioneers in the field building autonomous vehicles Includes case studies, source code, and state-of-the art research results Accompanied by a website with supplementary material, including sample code for chassis/sonar/radar; GPS deployment methods; Vision Calibration methods Engineering Autonomous Vehicles and Robots is an excellent book for students, researchers, and practitioners in the field of autonomous vehicles and robots.

Autonomous Vehicles

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Author : Steven Van Uytsel
language : en
Publisher: Springer Nature
Release Date : 2020-12-21

Autonomous Vehicles written by Steven Van Uytsel and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-21 with Law categories.

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 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 Vehicles

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Author : Michael E McGrath
language : en
Publisher:
Release Date : 2019-12-02

Autonomous Vehicles written by Michael E McGrath and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-02 with categories.

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.

Creating Autonomous Vehicle Systems Second Edition

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