Geometrie und Topologie von Trajektorienoptimierung für vollautomatisches Fahren

By: Material type: ArticleArticleLanguage: German Publication details: KIT Scientific Publishing 2018Description: 1 electronic resource (XVII, 253 p. p.)ISBN:
  • KSP/1000085281
  • 9783731508328
Subject(s): Online resources: 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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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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