A Pattern-Recognition Approach for Driving Skill Characterization
| Autor: | William C. Lin, Yilu Zhang, Yuen-Kwok Chin |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Engineering
business.industry Mechanical Engineering Perspective (graphical) Decision tree Skill level Poison control Computer Science Applications Vehicle dynamics Human–computer interaction Automotive Engineering Pattern recognition (psychology) Vehicle control business Simulation Level measurement |
| Zdroj: | IEEE Transactions on Intelligent Transportation Systems. 11:905-916 |
| ISSN: | 1558-0016 1524-9050 |
| DOI: | 10.1109/tits.2010.2055239 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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