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Planning Universal On-Road Driving Strategies for Automated Vehicles - Steffen Heinrich

Planning Universal On-Road Driving Strategies for Automated Vehicles

Buch | Softcover
XV, 133 Seiten
2018 | 1st ed. 2018
Springer Fachmedien Wiesbaden GmbH (Verlag)
978-3-658-21953-6 (ISBN)
CHF 82,35 inkl. MwSt

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 US.

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.

A Framework for Universal Driving Strategy Planning.- Sampling-Based Planning in Phase Space.- A Universal Approach for Driving Strategies.- Modeling Ego Motion Uncertainty.

Erscheinungsdatum
Reihe/Serie AutoUni – Schriftenreihe
Zusatzinfo XV, 133 p. 59 illus., 25 illus. in color.
Verlagsort Wiesbaden
Sprache englisch
Maße 148 x 210 mm
Gewicht 207 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Mathematik / Informatik Mathematik Analysis
Technik Elektrotechnik / Energietechnik
Technik Maschinenbau
Schlagworte Automated Vehicles • Autonomous Driving • Decision Making • GPU programming • high-level maneuver selection automation • Motion Planning • on-road driving strategies • on-road scenario • Self-driving Cars • Trajectory Planning
ISBN-10 3-658-21953-X / 365821953X
ISBN-13 978-3-658-21953-6 / 9783658219536
Zustand Neuware
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