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...
Saved in:
Main Author: | |
---|---|
Format: | Book Chapter |
Published: |
KIT Scientific Publishing
2018
|
Subjects: | |
Online Access: | Get Fullteks DOAB: description of the publication |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
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. |
---|---|
Physical Description: | 1 electronic resource (XVII, 253 p. p.) |
ISBN: | KSP/1000085281 9783731508328 |
Access: | Open Access |