Planning Universal On-Road Driving Strategies for Automated Vehicles / AutoUni - Schriftenreihe Bd.119 (PDF)
(Sprache: Englisch)
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...
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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.
Contents
- AFramework 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.
Autoren-Porträt von Steffen Heinrich
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.
Bibliographische Angaben
- Autor: Steffen Heinrich
- 2018, 1st ed. 2018, 133 Seiten, Englisch
- Verlag: Gabler, Betriebswirt.-Vlg
- ISBN-10: 3658219548
- ISBN-13: 9783658219543
- Erscheinungsdatum: 19.04.2018
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Grösse: 4.10 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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