Probabilistische Vorhersage von Fahrstreifenwechseln für hochautomatisiertes Fahren auf Autobahnen
Résumé
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.
Keywords
Fahrstreifenwechsel; Automatisches Fahren; Maschinelles Lernen; dynamic Bayesian networks; Dynamische Bayes'sche Netzwerke; lane change; machine learning; automated drivingISBN
9783731507949Publisher
KIT Scientific PublishingPublisher website
http://www.ksp.kit.edu/Publication date and place
2019Series
Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie,Classification
Technology: general issues