Autonomous driving: A comparison of machine learning techniques by means of the prediction of lane change behavior

In the presented work we compare machine learning techniques in the context of lane change behavior performed by humans in a semi-naturalistic simulated environment. We evaluate different learning approaches using differing feature combinations in order to identify appropriate feature, best feature...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Dogan, U., Edelbrunner, J., Iossifidis, I.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Humans Machine learning Neurons Roads Support vector machines Training Vehicles
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