Explore
Inferenz von Kreuzungsinformationen aus Flottendaten
Ruhhammer, Christian
2017
0 Ungluers have
Faved this Work
Login to Fave
The next generation of driver assistance systems and highly automated driving functions are based on digital maps. In order to meet the high requirements on the correctness and up-to-dateness of this information, this work presents new automated methods to extract up-to-date map information from fleet data. The focus is on the inference of static intersection information from fleet data through machine learning and statistical methods.
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 27 times via unglue.it ebook links.
- 27 - pdf (CC BY-SA) at Unglue.it.
Keywords
- Automated Map Creation
- Automatisierte Kartenerstellung
- Fleet Data
- Flottendaten
- Intersection Information
- Kreuzungsinformationen
- Lichtsignalanlage
- Machine learning
- Maschinelles Lernen
- Traffic Light
Links
DOI: 10.5445/KSP/1000073704Editions