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020 _a9783031018053
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024 7 _a10.1007/978-3-031-01805-3
_2doi
050 4 _aTJ212-225
050 4 _aTJ210.2-211.495
072 7 _aTJFM
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082 0 4 _a629.8
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100 1 _aLiu, Shaoshan.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_982128
245 1 0 _aCreating Autonomous Vehicle Systems, Second Edition
_h[electronic resource] /
_cby Shaoshan Liu, Liyun Li, Jie Tang, Shuang Wu, Jean-Luc Gaudiot.
250 _a2nd ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXXIII, 221 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 to the Second Edition -- Teaching and Learning from This Book -- 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 -- Autonomous Last-Mile Delivery Vehicles in Complex Traffic Environments -- PerceptIn's Autonomous Vehicles Lite -- Author Biographies.
520 _aThis 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.
650 0 _aControl engineering.
_931970
650 0 _aRobotics.
_92393
650 0 _aAutomation.
_92392
650 0 _aAutomotive engineering.
_982129
650 0 _aArtificial intelligence.
_93407
650 0 _aAerospace engineering.
_96033
650 0 _aAstronautics.
_982130
650 1 4 _aControl, Robotics, Automation.
_931971
650 2 4 _aAutomotive Engineering.
_982131
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aAerospace Technology and Astronautics.
_982132
700 1 _aLi, Liyun.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_982133
700 1 _aTang, Jie.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_982134
700 1 _aWu, Shuang.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_982135
700 1 _aGaudiot, Jean-Luc.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_982136
710 2 _aSpringerLink (Online service)
_982137
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031000737
776 0 8 _iPrinted edition:
_z9783031006777
776 0 8 _iPrinted edition:
_z9783031029332
830 0 _aSynthesis Lectures on Computer Science,
_x1932-1686
_982138
856 4 0 _uhttps://doi.org/10.1007/978-3-031-01805-3
912 _aZDB-2-SXSC
942 _cEBK
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