Explore
Probabilistische Vorhersage von Fahrstreifenwechseln für hochautomatisiertes Fahren auf Autobahnen
Weiser, Andreas
2019
0 Ungluers have
Faved this Work
Login to Fave
A concept for time-related forecasts of lane change maneuvers in highway scenarios is presented within the present work. Automated driving systems rely on understanding the driving environment to fulfill their driving task transparently and safely. This involves the perception of the driving environment as well as its interpretation to detect and predict driving maneuvers of road users.
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 51 times via unglue.it ebook links.
- 51 - pdf (CC BY-SA) at Unglue.it.
Keywords
- automated driving
- Automatisches Fahren
- dynamic Bayesian networks
- Dynamische Bayes'sche Netzwerke
- Fahrstreifenwechsel
- lane change
- Machine learning
- Maschinelles Lernen
- Technology, engineering, agriculture
- Technology: general issues
Links
DOI: 10.5445/KSP/1000082533Editions