• DocumentCode
    2027093
  • Title

    Fast and Robust Recognition of Field Line Intersections

  • Author

    Herrero-Pérez, David ; Martínez-Barberá, Humberto

  • Author_Institution
    Dept. of Inf. & Commun. Eng., Murcia Univ.
  • fYear
    2006
  • fDate
    26-27 Oct. 2006
  • Firstpage
    115
  • Lastpage
    119
  • Abstract
    In some Robocup leagues, specially in the four-legged league, robots make use of coloured landmarks for localisation. Because these landmarks have no correlation with real soccer, it seems a natural approach to remove them. But for this to be a reality, there are some difficulties that need to be solved, mainly an efficient and robust field features detection and an efficient localisation technique to manage such type of information. In this paper we deal with an approach for field features detection based on finding intersections between field lines which runs at frame rate in the AIBO robots. We also present some experimental results of the vision system and a comparison of the traditional coloured landmark localisation and the field features only localisation, both using a fuzzy-Markov localisation technique
  • Keywords
    SLAM (robots); image recognition; robot vision; AIBO robots; Robocup leagues; coloured landmark localisation; field feature detection; field line intersection recognition; four-legged league; fuzzy-Markov localisation; robot localisation; vision system; Cameras; Computer vision; Feature extraction; Filters; Object detection; Robot sensing systems; Robot vision systems; Robustness; Sensor phenomena and characterization; Sensor systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics Symposium, 2006. LARS '06. IEEE 3rd Latin American
  • Conference_Location
    Santiago
  • Print_ISBN
    1-4244-0537-8
  • Electronic_ISBN
    1-4244-0537-8
  • Type

    conf

  • DOI
    10.1109/LARS.2006.334320
  • Filename
    4133822