Citation

Li SLS, Yamabe S, Sato Y, Hirasawa T, Suda Y, Chandrasiri NP, Nawa K, Matsumura T, Taguchi K. Trans. Soc. Automot. Eng. Jpn. 2012; 43(6): 1387-1392.

Copyright

(Copyright © 2012, Society of Automotive Engineers of Japan)

DOI

10.11351/jsaeronbun.43.1387

PMID

unavailable

Abstract

To develop a new driving assist system that can supply effective advices to help low-skilled drivers improve driving skill, we proposed a technology to extract distinctions between high- and low-skilled drivers. There are three key contributions. The first is the introduction of wavelet transform to analyze the frequency character of driving operations. The second is a feature extraction technology based on AdaBoost. The third is a simple definition for high- and low-skilled driving. Experiments were carried out using a driving simulator on a course including several curves.

RESULTS show most features appeared at the beginning and end of curves. Specially, the character that low-skilled drivers operate hesitatingly is also detected.

Language: ja

Keywords

Driver Behavior; Driver Skill; Driving Simulator; Driving Support; Human Engineering