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. © Springer-Verlag 2009.
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Tango, F., & Botta, M. (2009). ML techniques for the classification of car-following maneuver. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5883 LNAI, pp. 395–404). https://doi.org/10.1007/978-3-642-10291-2_40
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