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Research and developments of intelligent driving behavior analysis

  • Tsinghua University
  • CAS - Institute of Automation

Research output: Contribution to journal › Review article › peer-review

35 Scopus citations

Abstract

It is widely realized that a better understanding of the driving behavior will allow more appropriate road safety policies and more effective intelligent driving guidance systems to be developed, possibly reducing traffic incidents and congestions. By carefully examining the current approaches, this paper provides a brief review of four major issues in this field: longitudinal driving behavior analysis and collision avoidance, lateral driving behavior analysis and lane departure warning, complex driving ability learning and driver status (fatigue, absentmindedness etc.) analysis. The likely future direction of this research field, particularly in China, is also pointed out with a special focus on the advances.

Original languageEnglish
Pages (from-to)1014-1022
Number of pages9
JournalZidonghua Xuebao/Acta Automatica Sinica
Volume33
Issue number10
DOIs
StatePublished - Oct 2007

Keywords

  • Driver status analysis
  • Driving behavior analysis
  • Driving safety

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