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020 _a9783031018022
_9978-3-031-01802-2
024 7 _a10.1007/978-3-031-01802-2
_2doi
050 4 _aTJ212-225
050 4 _aTJ210.2-211.495
072 7 _aTJFM
_2bicssc
072 7 _aTEC007000
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082 0 4 _a629.8
_223
100 1 _aLiu, Shaoshan.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_979270
245 1 0 _aCreating Autonomous Vehicle Systems
_h[electronic resource] /
_cby Shaoshan Liu, Liyun Li, Jie Tang, Shuang Wu, Jean-Luc Gaudiot.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aIV, 186 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Computer Science,
_x1932-1686
505 0 _aPreface -- Introduction to Autonomous Driving -- Autonomous Vehicle Localization -- Perception in Autonomous Driving -- Deep Learning in Autonomous Driving Perception -- Prediction and Routing -- Decision, Planning, and Control -- Reinforcement Learning-based Planning and Control -- Client Systems for Autonomous Driving -- Cloud Platform for Autonomous Driving -- Author Biographies.
520 _aThis 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 technologystack. 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.
650 0 _aControl engineering.
_931970
650 0 _aRobotics.
_92393
650 0 _aAutomation.
_92392
650 0 _aAutomotive engineering.
_979271
650 0 _aArtificial intelligence.
_93407
650 0 _aAerospace engineering.
_96033
650 0 _aAstronautics.
_979272
650 1 4 _aControl, Robotics, Automation.
_931971
650 2 4 _aAutomotive Engineering.
_979273
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aAerospace Technology and Astronautics.
_979274
700 1 _aLi, Liyun.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_979275
700 1 _aTang, Jie.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_979276
700 1 _aWu, Shuang.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_979277
700 1 _aGaudiot, Jean-Luc.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_979278
710 2 _aSpringerLink (Online service)
_979279
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031000706
776 0 8 _iPrinted edition:
_z9783031006746
776 0 8 _iPrinted edition:
_z9783031029301
830 0 _aSynthesis Lectures on Computer Science,
_x1932-1686
_979280
856 4 0 _uhttps://doi.org/10.1007/978-3-031-01802-2
912 _aZDB-2-SXSC
942 _cEBK
999 _c84749
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