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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主要作者:	Weiser, Andreas
格式:	Online
語言:	德语
出版:	KIT Scientific Publishing 2021
主題:	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
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