Probabilistische Vorhersage von Fahrstreifenwechseln für hochautomatisiertes Fahren auf Autobahnen

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 environ...

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Библиографические подробности

Главный автор:	Weiser, Andreas
Формат:	Online
Язык:	немецкий
Опубликовано:	KIT Scientific Publishing 2021
Предметы:	T1-995 Fahrstreifenwechsel Automatisches Fahren Maschinelles Lernen dynamic Bayesian networks Dynamische Bayes'sche Netzwerke lane change machine learning automated driving thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
Online-ссылка:	35320
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