A robust road marking detection method with pseudo-top-view images for creating database

Takayuki Hara, Yoshimitsu Aoki

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

    1 Citation (Scopus)

    Abstract

    This paper presents a method to detect road markings on top-view road images, which are pseudo-top-view images created by transforming each frames in foreground drive videos under influence of difference of brightness caused by varying photography environment. Road markings in pseudo-top-view images appear differently due to the variation of shadow and markings' line faded. Therefore, the recognition process of road markings is difficult in real environment. Our method used shadow detection and run-length compensation for robust recognition. Detected markings are registered to database for car navigation system, and then it will enable to sound a warning when approaching to a point of caution.

    Original languageEnglish
    Title of host publication2011 17th Korea-Japan Joint Workshop on Frontiers of Computer Vision, FCV 2011
    DOIs
    Publication statusPublished - 2011 Dec 1
    Event2011 17th Korea-Japan Joint Workshop on Frontiers of Computer Vision, FCV 2011 - Ulsan, Korea, Republic of
    Duration: 2011 Feb 92011 Feb 11

    Publication series

    Name2011 17th Korea-Japan Joint Workshop on Frontiers of Computer Vision, FCV 2011

    Other

    Other2011 17th Korea-Japan Joint Workshop on Frontiers of Computer Vision, FCV 2011
    CountryKorea, Republic of
    CityUlsan
    Period11/2/911/2/11

    Keywords

    • drive video
    • pseudo-top-view image
    • road marking
    • run-length compensation

    ASJC Scopus subject areas

    • Computer Vision and Pattern Recognition

    Fingerprint Dive into the research topics of 'A robust road marking detection method with pseudo-top-view images for creating database'. Together they form a unique fingerprint.

  • Cite this

    Hara, T., & Aoki, Y. (2011). A robust road marking detection method with pseudo-top-view images for creating database. In 2011 17th Korea-Japan Joint Workshop on Frontiers of Computer Vision, FCV 2011 [5739713] (2011 17th Korea-Japan Joint Workshop on Frontiers of Computer Vision, FCV 2011). https://doi.org/10.1109/FCV.2011.5739713