| 書目名稱 | Planning Universal On-Road Driving Strategies for Automated Vehicles |
| 編輯 | Steffen Heinrich |
| 視頻video | http://file.papertrans.cn/749/748362/748362.mp4 |
| 概述 | GPU enabled method for trajectory optimization |
| 叢書名稱 | AutoUni – Schriftenreihe |
| 圖書封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2018 |
| 關鍵詞 | self-driving cars; automated vehicles; on-road driving strategies; motion planning; GPU programming; traj |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-658-21954-3 |
| isbn_softcover | 978-3-658-21953-6 |
| isbn_ebook | 978-3-658-21954-3Series ISSN 1867-3635 Series E-ISSN 2512-1154 |
| issn_series | 1867-3635 |
| copyright | Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2018 |
|Archiver|手機版|小黑屋|
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