The goal of this paper is to apply some of the best-known machine learning techniques to a practical problem in the automotive field: the identification and classification of the user’s intentions in performing specific driving maneuvers. Data have been collected by a static driving simulator. These models are then analyzed and compared, in order to select the best car-following maneuver classifier.

ML Techniques for the classification of Car-Following Manoeuvre

BOTTA, Marco
2009-01-01

Abstract

The goal of this paper is to apply some of the best-known machine learning techniques to a practical problem in the automotive field: the identification and classification of the user’s intentions in performing specific driving maneuvers. Data have been collected by a static driving simulator. These models are then analyzed and compared, in order to select the best car-following maneuver classifier.
2009
XI Conference of the Italian Association for Artificial Intelligence (AI*IA)
Reggio Emilia, Italy
09-12 December 2009
5883/2009
395
404
Fabio Tango; Marco Botta
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/70442
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