Shaoshan Liu's Books

Creating Autonomous Vehicle Systems, Second Edition

By: Liu Shaoshan,Li Liyun,Tang Jie,Wu Shuang,Gaudiot Jean-Luc

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Creating Autonomous Vehicle Systems, Second Edition

By: Liu Shaoshan,Li Liyun,Tang Jie,Wu Shuang,Gaudiot Jean-Luc

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.

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Page Count

221

Publisher

Springer Nature

Published Date

ISBN 10

3031018052

ISBN 13

9783031018053

Engineering Autonomous Vehicles and Robots

The DragonFly Modular-based Approach

By: Shaoshan Liu

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Engineering Autonomous Vehicles and Robots

The DragonFly Modular-based Approach

By: Shaoshan Liu

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.

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Page Count

214

Publisher

John Wiley & Sons

Published Date

ISBN 10

1119570565

ISBN 13

9781119570561

Engineering Autonomous Vehicles and Robots

The DragonFly Modular-based Approach

By: Shaoshan Liu

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Engineering Autonomous Vehicles and Robots

The DragonFly Modular-based Approach

By: Shaoshan Liu

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Page Count

217

Publisher

John Wiley & Sons

Published Date

ISBN 10

1119570557

ISBN 13

9781119570554

Creating Autonomous Vehicle Systems, Second Edition

By: Liu Shaoshan,Li Liyun,Tang Jie,Wu Shuang,Gaudiot Jean-Luc

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Creating Autonomous Vehicle Systems, Second Edition

By: Liu Shaoshan,Li Liyun,Tang Jie,Wu Shuang,Gaudiot Jean-Luc

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Solve jigsaw puzzle

Age

Page Count

221

Publisher

Springer Nature

Published Date

ISBN 10

3031018052

ISBN 13

9783031018053

Creating Autonomous Vehicle Systems

By: Shaoshan Liu,Liyun Li,Jie Tang,Shuang Wu,Jean-Luc Gaudiot

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Creating Autonomous Vehicle Systems

By: Shaoshan Liu,Liyun Li,Jie Tang,Shuang Wu,Jean-Luc Gaudiot

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.

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Page Count

285

Publisher

Morgan & Claypool Publishers

Published Date

ISBN 10

1681731673

ISBN 13

9781681731674

Creating Autonomous Vehicle Systems

By: Shaoshan Liu,Liyun Li,Jie Tang,Shuang Wu,Jean-Luc Gaudiot

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Creating Autonomous Vehicle Systems

By: Shaoshan Liu,Liyun Li,Jie Tang,Shuang Wu,Jean-Luc Gaudiot

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Page Count

198

Publisher

Morgan & Claypool Publishers

Published Date

ISBN 10

1681730081

ISBN 13

9781681730080

Robotic Computing on FPGAs

By: Shaoshan Liu,Zishen Wan,Bo Yu

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Robotic Computing on FPGAs

By: Shaoshan Liu,Zishen Wan,Bo Yu

This book provides a thorough overview of the state-of-the-art field-programmable gate array (FPGA)-based robotic computing accelerator designs and summarizes their adopted optimized techniques. This book consists of ten chapters, delving into the details of how FPGAs have been utilized in robotic perception, localization, planning, and multi-robot collaboration tasks. In addition to individual robotic tasks, this book provides detailed descriptions of how FPGAs have been used in robotic products, including commercial autonomous vehicles and space exploration robots.

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Page Count

220

Publisher

Morgan & Claypool Publishers

Published Date

ISBN 10

1636391664

ISBN 13

9781636391663

Book's by Shaoshan Liu

Creating Autonomous Vehicle Systems, Second Edition

Creating Autonomous Vehicle Systems, Second Edition

Engineering Autonomous Vehicles and Robots

Engineering Autonomous Vehicles and Robots

Engineering Autonomous Vehicles and Robots

Engineering Autonomous Vehicles and Robots

Creating Autonomous Vehicle Systems, Second Edition

Creating Autonomous Vehicle Systems, Second Edition

Creating Autonomous Vehicle Systems

Creating Autonomous Vehicle Systems

Creating Autonomous Vehicle Systems

Creating Autonomous Vehicle Systems

Robotic Computing on FPGAs

Robotic Computing on FPGAs

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