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Sprache:
Englisch
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Beschreibung
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.
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 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.
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.
Über den Autor
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.
Zusammenfassung
GPU enabled method for trajectory optimization
Inhaltsverzeichnis
A Framework for Universal Driving Strategy Planning.- Sampling-Based Planning in Phase Space.- A Universal Approach for Driving Strategies.- Modeling Ego Motion Uncertainty.
Details
| Erscheinungsjahr: | 2018 |
|---|---|
| Fachbereich: | Fertigungstechnik |
| Genre: | Mathematik, Medizin, Naturwissenschaften, Technik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: |
xv
133 S. 34 s/w Illustr. 25 farbige Illustr. 133 p. 59 illus. 25 illus. in color. |
| ISBN-13: | 9783658219536 |
| ISBN-10: | 365821953X |
| Sprache: | Englisch |
| Herstellernummer: | 978-3-658-21953-6 |
| Einband: | Kartoniert / Broschiert |
| Autor: | Heinrich, Steffen |
| Hersteller: |
Springer
Springer Vieweg Springer Fachmedien Wiesbaden GmbH |
| Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
| Maße: | 210 x 148 x 9 mm |
| Von/Mit: | Steffen Heinrich |
| Erscheinungsdatum: | 27.04.2018 |
| Gewicht: | 0,207 kg |