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Creating Autonomous Vehicle Systems

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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.

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".

Engineering Autonomous Vehicles And Robots

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Author : Shaoshan Liu
language : en
Publisher: John Wiley & Sons
Release Date : 2020-05-11

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 2020-05-11 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 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 Vehicle Technology

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Author : James M. Anderson
language : en
Publisher: Rand Corporation
Release Date : 2014-01-10

Autonomous Vehicle Technology written by James M. Anderson and has been published by Rand Corporation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-10 with Transportation categories.

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.

Decision Making Techniques For Autonomous Vehicles

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Author : Jorge Villagra
language : en
Publisher: Elsevier
Release Date : 2023-03-03

Decision Making Techniques For Autonomous Vehicles written by Jorge Villagra and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-03 with Technology & Engineering categories.

Decision-Making Techniques for Autonomous Vehicles provides a general overview of control and decision-making tools that could be used in autonomous vehicles. Motion prediction and planning tools are presented, along with the use of machine learning and adaptability to improve performance of algorithms in real scenarios. The book then examines how driver monitoring and behavior analysis are used produce comprehensive and predictable reactions in automated vehicles. The book ultimately covers regulatory and ethical issues to consider for implementing correct and robust decision-making. This book is for researchers as well as Masters and PhD students working with autonomous vehicles and decision algorithms. Provides a complete overview of decision-making and control techniques for autonomous vehicles Includes technical, physical, and mathematical explanations to provide knowledge for implementation of tools Features machine learning to improve performance of decision-making algorithms Shows how regulations and ethics influence the development and implementation of these algorithms in real scenarios

Autonomous Vehicles And Future Mobility

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Author : Pierluigi Coppola
language : en
Publisher: Elsevier
Release Date : 2019-06-15

Autonomous Vehicles And Future Mobility written by Pierluigi Coppola and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-15 with Transportation categories.

Autonomous Vehicles and Future Mobility presents novel methods for examining the long term effects on individuals, society, and on the environment on a wide range of forthcoming transport scenarios such 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. Autonomous Vehicles and Future Mobility addresses these impacts, considering such key areas as attitude of users towards new services, the consequences of introducing of new mobility forms, the impacts of changing work related trips, the access to information about mobility options and the changing strategies of relevant stakeholders in transportation. By examining and contextualizing innovative transport solutions in this rapidly evolving field, Autonomous Vehicles and Future Mobility provides insights into current implementation of these potentially sustainable solutions, serving as general guidelines and best practices for researchers, professionals, and policy makers. Covers hot topics including travel behavior change, autonomous vehicle impacts, intelligent solutions, mobility planning, mobility as a service, sustainable solutions, and more Examines up to date models and applications using novel technologies Contributions from leading scholars around the globe Case studies with latest research results

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.

Creating Autonomous Vehicle Systems

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