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Toward cognitive vehicles

  • National University of Defense Technology
  • Indiana University Bloomington
  • Tsinghua University

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

As a result of more cars on the road, traffic becomes more congested and streets become more risky. In addition, new communication and entertainment applications make drivers ever-more over-burdened and distracted. To relieve the continually increasing stress on drivers and reduce the number of accidents, current intelligent vehicle research is attempting to understand and model drivers. This article surveys recent works on cognitive vehicles that model drivers in a stimuli-decision-reaction mode and, on vehicle system side, improve perception, suggestion, and function delegation of traffic environment. The authors illustrate the relationships between recent models and methods and list related research challenges, while introducing applications of the driver-cognition models in intelligent vehicle control systems.

Original languageEnglish
Article number5898448
Pages (from-to)76-80
Number of pages5
JournalIEEE Intelligent Systems
Volume26
Issue number3
DOIs
StatePublished - May 2011

Keywords

  • Advanced Driver Assistance Systems (ADAS)
  • Intelligent transportation systems
  • Intelligent vehicles
  • cognitive vehicles
  • driver modeling
  • intelligent systems

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