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007			cr nn 008mamaa
008			230218s2018 sz | s |||| 0|eng d
020			_a9783031018022
024	7		_a10.1007/978-3-031-01802-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTL152.8 _b2018 EB
100	1		_aLiu, Shaoshan _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686116
245	1	0	_aCreating Autonomous Vehicle Systems _cby Liu Shaoshan, Li Liyun, Tang Jie, Wu Shuang, Gaudiot Jean-Luc
250			_a1st edition 2018
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (IV, 186 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_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 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.
988			_aSynthesis Collection of Technology_2018
650		7	_2embne _9673285 _aAutomóviles _xControl automático
650		7	_2embne _9405815 _aSistemas inteligentes de transporte
700	1		_aLi, Liyun _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686946
700	1		_aTang, Jie _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686947
700	1		_aShuang, Wu _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686948
700	1		_aGaudiot, Jean-Luc _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686949
776	0	8	_iPrinted edition: _z9783031000706
776	0	8	_iPrinted edition: _z9783031006746
776	0	8	_iPrinted edition: _z9783031029301
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01802-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _eIG _zSI