Data & IT
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Planning Universal On-Road Driving Strategies for Automated Vehicles
Steffen Heinrich
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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 US.
- Illustratör: 25 farbige Tabellen 34 schwarz-weiße und 25 farbige Abbildungen Bibliographie
- Format: Pocket/Paperback
- ISBN: 9783658219536
- Språk: Engelska
- Antal sidor: 133
- Utgivningsdatum: 2018-04-27
- Förlag: Springer