Advanced driver assistant system using telematics

Shuguang Li, Shigeyuki Yamabe, Yoichi Sato, Yoshihiro Suda, Naiwala P. Chandrasiri, Kazunari Nawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)


We have developed a new driving assistant system that can help low-skilled drivers improve their driving skill. There are three key contributions. First, we have developed a statistical method to extract distinctions between high- and low-skilled drivers based on AdaBoost, which selects a small number of critical operation features between high- and low-skilled drivers. The second is that a driving skill evaluation model is built based on extracted features. Finally, we performed a series of experiments using a driving simulator, in which advice based on extracted features was supplied to low skilled drivers. Result shows advices were effective improved drivers' driving skill.

Original languageEnglish
Title of host publication7th IFAC Symposium on Advances in Automotive Control, AAC 2013 - Proceedings
Number of pages6
EditionPART 1
Publication statusPublished - 2013 Oct 24
Externally publishedYes
Event7th IFAC Symposium on Advances in Automotive Control, AAC 2013 - Tokyo, Japan
Duration: 2013 Sep 42013 Sep 7

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
ISSN (Print)1474-6670


Conference7th IFAC Symposium on Advances in Automotive Control, AAC 2013


  • Driver behaviour
  • Driving Simulator
  • Driving Skill
  • Machine learning

ASJC Scopus subject areas

  • Control and Systems Engineering


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