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

2 Citations (Scopus)

Abstract

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
Pages637-642
Number of pages6
EditionPART 1
DOIs
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
Volume7
ISSN (Print)1474-6670

Conference

Conference7th IFAC Symposium on Advances in Automotive Control, AAC 2013
Country/TerritoryJapan
CityTokyo
Period13/9/413/9/7

Keywords

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

ASJC Scopus subject areas

  • Control and Systems Engineering

Fingerprint

Dive into the research topics of 'Advanced driver assistant system using telematics'. Together they form a unique fingerprint.

Cite this