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: | Électronique Chapitre de livre |
| Publié: |
KIT Scientific Publishing
2018
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| Collection: | 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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| Accès en ligne: | DOAB: download the publication DOAB: description of the publication |
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| Résumé: | 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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| Description matérielle: | 1 electronic resource (XVII, 253 p. p.) |
| ISBN: | KSP/1000085281 9783731508328 |
| Accès: | Open Access |