DocumentCode
2465598
Title
Driving skill recognition: New approaches and their comparison
Author
Tang, Xidong
Author_Institution
GM R&D & Planning, Warren, MI, USA
fYear
2009
fDate
10-12 June 2009
Firstpage
420
Lastpage
425
Abstract
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.
Keywords
automated highways; feature extraction; pattern classification; road safety; road vehicles; wavelet transforms; active safety; discriminant features; driving skill recognition; spatial information; temporal information; vehicle adaptation control; wavelet transform; Data mining; Discrete Fourier transforms; Feature extraction; Fourier transforms; Frequency; Signal analysis; Testing; Vehicle safety; Wavelet transforms; Wheels;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2009. ACC '09.
Conference_Location
St. Louis, MO
ISSN
0743-1619
Print_ISBN
978-1-4244-4523-3
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2009.5160160
Filename
5160160
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