Planning Universal On-Road Driving Strategies for Automated Vehicles (AutoUni Schriftenreihe) free ebook download.

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Planning Universal On-Road Driving Strategies for Automated Vehicles (AutoUni Schriftenreihe) free ebook download

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Aeronautical Engineering

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Author(s):	Steffen Heinrich

Date:	2018-06-13	Format:	PDF	Language:	English	ISBN/ASIN:	365821953X
Pages:	133	OCR:		Quality:		ISBN13:	9783658219536
Uploader:	topron	Upload Date:	4/20/2018 7:04:16 AM

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Steffen 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.

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 USSteffen 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.

About the Author

Links Table

	Title	Link	Password	Size (MB)	Thank to	Inform Admin
2157137	Book	http://tezfiles.com/file/572fe6f2b00e7...		4.13	topron

Tags: Automated AutoUni Driving Planning Schriftenreihe Strategies Universal Vehicles

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