DocumentCode :
1545107
Title :
A Pattern-Recognition Approach for Driving Skill Characterization
Author :
Zhang, Yilu ; Lin, William C. ; Chin, Yuen-Kwok Steve
Author_Institution :
Global R&D Center, Gen. Motors, Warren, MI, USA
Volume :
11
Issue :
4
fYear :
2010
Firstpage :
905
Lastpage :
916
Abstract :
Information about a driver´s driving skill can be used to adapt vehicle control parameters to facilitate the specific driver´s needs in terms of vehicle performance and safety. This paper presents an approach to driving skill characterization from a pattern-recognition perspective. The basic idea is to extract patterns that reflect the driver´s driving skill level from the measurements of the driver´s behavior and the vehicle response. The experimental results demonstrate the feasibility of using a pattern-recognition approach to characterize a driver´s handling skill. This paper concludes with the discussions of the challenges and future works to bring the proposed technique to practical use.
Keywords :
pattern recognition; traffic control; velocity control; driver behavior measurement; driver handling skill; driver information; pattern recognition; vehicle control; Automatic control; Control systems; Motion control; Navigation; Pattern recognition; Research and development; Traction motors; Vehicle driving; Vehicle dynamics; Vehicle safety; Driver model; driving skill characterization; pattern recognition;
fLanguage :
English
Journal_Title :
Intelligent Transportation Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1524-9050
Type :
jour
DOI :
10.1109/TITS.2010.2055239
Filename :
5518413
Link To Document :
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