Title :
Driving skill characterization: A feasibility study
Author :
Zhang, Yilu ; Lin, William C. ; Chin, Yuen-Kwok Steve
Author_Institution :
GM R&D & Planning, Gen. Motors Corp., Warren, MI
Abstract :
Information about 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 driving pleasure. 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 preliminary experimental results demonstrate the feasibility of using pattern recognition approach to characterize 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 :
driver information systems; pattern recognition; driver driving skill characterization; driver handling skill; driving pleasure; pattern recognition; vehicle control parameter; vehicle performance; vehicle response; Automatic control; Control systems; Delay; Discrete Fourier transforms; Motion control; Navigation; Pattern recognition; Robotics and automation; USA Councils; Vehicle driving;
Conference_Titel :
Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on
Conference_Location :
Pasadena, CA
Print_ISBN :
978-1-4244-1646-2
Electronic_ISBN :
1050-4729
DOI :
10.1109/ROBOT.2008.4543600