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Creating Autonomous Vehicle Systems at Meripustak

Creating Autonomous Vehicle Systems by Shaoshan Liu LIYUN LI Jie Tang Shuang Wu Jean-Luc Gaudiot, Morgan & Claypool Publishers

Books from same Author: Shaoshan Liu LIYUN LI Jie Tang Shuang Wu Jean-Luc Gaudiot

Books from same Publisher: Morgan & Claypool Publishers

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  • General Information  
    Author(s)Shaoshan Liu LIYUN LI Jie Tang Shuang Wu Jean-Luc Gaudiot
    PublisherMorgan & Claypool Publishers
    ISBN9781681730073
    Pages186
    BindingPaperback
    LanguageEnglish
    Publish YearOctober 2017

    Description

    Morgan & Claypool Publishers 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 highdefinition (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 realtime 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 mapplus 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 subsystem especially prediction and routing technologies; Chapter 6 focuses on motion planning and feedback control of the planning and control subsystem; Chapter 7 introduces reinforcement learningbased 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.show more



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