Geometrie und Topologie von Trajektorienoptimierung für vollautomatisches Fahren
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 considerati...
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Superior document: | 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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Year of Publication: | 2018 |
Language: | German |
Series: | 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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Physical Description: | 1 electronic resource (XVII, 253 p. p.) |
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520 | |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. | ||
546 | |a German | ||
653 | |a SPARC | ||
653 | |a probabilistic environment modelling | ||
653 | |a Optimierung | ||
653 | |a optimization | ||
653 | |a probabilistische Umweltmodellierung | ||
653 | |a maneuver planning | ||
653 | |a Manöverplanung | ||
653 | |a automated driving | ||
653 | |a automatisiertes Fahren | ||
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