ML Techniques for the Classification of Car-Following Maneuver

Authors:
Fabio Tango;Marco Botta
Affiliations:
Computer Science Department, University of Torino, Torino, Italy 10149;Computer Science Department, University of Torino, Torino, Italy 10149
Venue:
AI*IA '09: Proceedings of the XIth International Conference of the Italian Association for Artificial Intelligence Reggio Emilia on Emergent Perspectives in Artificial Intelligence
Year:
2009

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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.