Buch, Englisch, Band 119, 133 Seiten, Format (B × H): 148 mm x 210 mm, Gewicht: 207 g
Reihe: AutoUni – Schriftenreihe
Buch, Englisch, Band 119, 133 Seiten, Format (B × H): 148 mm x 210 mm, Gewicht: 207 g
Reihe: AutoUni – Schriftenreihe
ISBN: 978-3-658-21953-6
Verlag: Springer
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Verkehrstechnik | Transportgewerbe Intelligente & automatisierte Transportsysteme
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
- Technische Wissenschaften Verkehrstechnik | Transportgewerbe Fahrzeugtechnik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
Weitere Infos & Material
A Framework for Universal Driving Strategy Planning.- Sampling-Based Planning in Phase Space.- A Universal Approach for Driving Strategies.- Modeling Ego Motion Uncertainty.