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003			ES-MaUEC
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008			180419s2018 gw | o |||| 0|eng d
020			_a9783658219543
024	7		_a10.1007/978-3-658-21954-3 _2doi
040			_bspa _cES-MaUEC _dES-MaUEC
041	0		_aeng
050		4	_aTL152.8 _b2018 EB
100	1		_aHeinrich, Steffen _eautor _9673284
245	1	0	_aPlanning Universal On-Road Driving Strategies for Automated Vehicles _cby Steffen Heinrich
264		1	_aWiesbaden _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XV, 133 páginas) _b59 ilustraciones, 25 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aAutoUni - Schriftenreihe ; _v119
490	0		_aEngineering (Springer-11647)
505	0		_aA Framework for Universal Driving Strategy Planning -- Sampling-Based Planning in Phase Space -- A Universal Approach for Driving Strategies -- Modeling Ego Motion Uncertainty.
520	3		_aSteffen Heinrich describes a motion planning system for automated vehicles. The planning method is universally applicable to on-road scenarios and does not depend on a high-level maneuver selection automation for driving strategy guidance. The author presents a planning framework using graphics processing units (GPUs) for task parallelization. A method is introduced that solely uses a small set of rules and heuristics to generate driving strategies. It was possible to show that GPUs serve as an excellent enabler for real-time applications of trajectory planning methods. Like humans, computer-controlled vehicles have to be fully aware of their surroundings. Therefore, a contribution that maximizes scene knowledge through smart vehicle positioning is evaluated. A post-processing method for stochastic trajectory validation supports the search for longer-term trajectories which take ego-motion uncertainty into account. Contents A Framework for Universal Driving Strategy Planning Sampling-Based Planning in Phase Space A Universal Approach for Driving Strategies Modeling Ego Motion Uncertainty Target Groups Scientists and students in the field of robotics, computer science, mechanical engineering Engineers in the field of vehicle automation, intelligent systems and robotics About the Author Steffen Heinrich has a strong background in robotics and artificial intelligence. Since 2009 he has been developing algorithms and software components for self-driving systems in research facilities and for automakers in Germany and the US.
988			_aEBSPRINGER_2018
650		7	_2embne _9673285 _aAutomóviles _xControl automático
650		7	_2embne _9671208 _aSistemas de asistencia a la conducción
776	0	8	_iEdición impresa: _z9783658219536
776	0	8	_iEdición impresa: _z9783658219550
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-658-21954-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b04/2020 _dz _eb _zSI