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|a 9783731508328
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|a 1000085281
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|a Ruf, Miriam
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|a Geometrie und Topologie von Trajektorienoptimierung für vollautomatisches Fahren
|h Elektronische Ressource
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|b KIT Scientific Publishing
|c 2018
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| 300 |
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|a 1 electronic resource (XVII, 253 p. p.)
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| 653 |
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|a maneuver planning
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|a probabilistic environment modelling
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|a SPARC
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|a probabilistische Umweltmodellierung
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|a Manöverplanung
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| 653 |
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|a automatisiertes Fahren
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|a optimization
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|a automated driving
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|a Optimierung
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7 |
|a deu
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 490 |
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|a Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe
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|a Creative Commons (cc), https://creativecommons.org/licenses/by-sa/4.0/
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|a 10.5445/KSP/1000085281
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|u https://www.ksp.kit.edu/9783731508328
|7 0
|x Verlag
|3 Volltext
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|u https://directory.doabooks.org/handle/20.500.12854/48490
|z DOAB: description of the publication
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|a 363
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|a In order to establish general principles in the topic of motion planning for fully-automated driving, an intuitive problem statement in the form of an Euler-Lagrange Model is derived and transformed into a corresponding Hidden Markov Model for global optimization. Geometric and topologic considerations lead to a probabilistic environment modelling in combination with the C² model and result in general conclusions about the structure of traffic situations.
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