Driving skill recognition: New approaches and their comparison

Driving skill characterization is an important step towards future enhancement of vehicle adaptation control and active safety. This paper presents new approaches for driving skill recognition and their comparison. New feature extractors based on wavelet transform are developed to include temporal (spatial) information into discriminant features. The extractors are integrated with three classifiers for evaluation. Results show advantages of new approaches over existing approaches.

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