A sign reading driver assistance system using eye gaze

Luke Fletcher*, Lars Petersson, Nick Barnes, David Austin, Alexander Zelinsky

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    6 Citations (Scopus)

    Abstract

    Cars are becoming, in effect, a robotic system with an embedded human. It is not possible to know what the driver is thinking. We can, however, monitor their gaze and compare it with information in their view-field to make an inference. In this paper we present a complete system that reads speed signs in real-time, compares the driver gaze, and provides immediate feedback if the sign has been missed by the driver. This paper focuses on correlating measures of driver gaze direction with the position of signs in the road scene and improving recognition of signs through image enhancement.

    Original languageEnglish
    Title of host publicationProceedings of the 2005 IEEE International Conference on Robotics and Automation
    Pages4655-4660
    Number of pages6
    DOIs
    Publication statusPublished - 2005
    Event2005 IEEE International Conference on Robotics and Automation - Barcelona, Spain
    Duration: 18 Apr 200522 Apr 2005

    Publication series

    NameProceedings - IEEE International Conference on Robotics and Automation
    Volume2005
    ISSN (Print)1050-4729

    Conference

    Conference2005 IEEE International Conference on Robotics and Automation
    Country/TerritorySpain
    CityBarcelona
    Period18/04/0522/04/05

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