Planning Universal On-Road Driving Strategies for Automated Vehicles (Record no. 77894)
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fixed length control field | 03725nam a22005655i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-658-21954-3 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20220801215822.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 180419s2018 gw | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783658219543 |
-- | 978-3-658-21954-3 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 629.8 |
100 1# - AUTHOR NAME | |
Author | Heinrich, Steffen. |
245 10 - TITLE STATEMENT | |
Title | Planning Universal On-Road Driving Strategies for Automated Vehicles |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2018. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XV, 133 p. 59 illus., 25 illus. in color. |
490 1# - SERIES STATEMENT | |
Series statement | AutoUni – Schriftenreihe, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | A Framework for Universal Driving Strategy Planning -- Sampling-Based Planning in Phase Space -- A Universal Approach for Driving Strategies -- Modeling Ego Motion Uncertainty. |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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 A Framework 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. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/978-3-658-21954-3 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Wiesbaden : |
-- | Springer Fachmedien Wiesbaden : |
-- | Imprint: Springer, |
-- | 2018. |
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-- | computer |
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-- | rdamedia |
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-- | online resource |
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-- | text file |
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Control engineering. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Robotics. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Automation. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial intelligence. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Numerical analysis. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Control, Robotics, Automation. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial Intelligence. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Numerical Analysis. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 2512-1154 ; |
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-- | ZDB-2-ENG |
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-- | ZDB-2-SXE |
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