Детальная информация

Название: Planning universal on-road driving strategies for automated vehicles
Авторы: Heinrich Steffen
Выходные сведения: Wiesbaden, Germany: Springer, 2018
Коллекция: Электронные книги зарубежных издательств; Общая коллекция
Тематика: Робототехнические системы; Искусственный интеллект; Транспортные средства; Автоматизированные системы планирования и управления; robotic systems; artificial intelligence; transport vehicles; automated planning and management systems
УДК: 621.865.8; 004.896; 658.513.2/.5:629
Тип документа: Другой
Тип файла: Другой
Язык: Английский
Права доступа: Доступ по паролю из сети Интернет (чтение, печать)
Ключ записи: RU\SPSTU\edoc\60750

Разрешенные действия: Посмотреть

Аннотация

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.

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