Explore
Geometrie und Topologie von Trajektorienoptimierung fuer vollautomatisches Fahren
Ruf, Miriam
2018
0 Ungluers have
Faved this Work
Login to Fave
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.
This book is included in DOAB.
Why read this book? Have your say.
You must be logged in to comment.
Rights Information
Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.Downloads
This work has been downloaded 41 times via unglue.it ebook links.
- 41 - pdf (CC BY-SA) at Unglue.it.
Keywords
- automated driving
- Automatisiertes Fahren
- maneuver planning
- Manöverplanung
- Optimierung
- optimization
- probabilistic environment modelling
- probabilistische Umweltmodellierung
- SPARC