Neural networks for control
C4.5: programs for machine learning
C4.5: programs for machine learning
The nature of statistical learning theory
The nature of statistical learning theory
Decision Fusion
Machine Learning
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
A low-cost solution for an integrated multisensor lane departure warning system
IEEE Transactions on Intelligent Transportation Systems
Driving skill recognition: new approaches and their comparison
ACC'09 Proceedings of the 2009 conference on American Control Conference
IEEE Transactions on Intelligent Transportation Systems
Feasibility analysis of steering control as a driver-assistance function in collision situations
IEEE Transactions on Intelligent Transportation Systems
Guest editorial adaptive cruise control systems special issue
IEEE Transactions on Intelligent Transportation Systems
DGPS-Based Vehicle-to-Vehicle Cooperative Collision Warning: Engineering Feasibility Viewpoints
IEEE Transactions on Intelligent Transportation Systems
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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.