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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| Format: | eBook |
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KIT Scientific Publishing
2018
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| 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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| Collection: | Directory of Open Access Books - Collection details see MPG.ReNa |
| Summary: | 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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| Item Description: | Creative Commons (cc), https://creativecommons.org/licenses/by-sa/4.0/ |
| Physical Description: | 1 electronic resource (XVII, 253 p. p.) |
| ISBN: | 9783731508328 1000085281 |