• DocumentCode
    2651899
  • Title

    Robust localization method based on free-space observation model using 3D-map

  • Author

    Takeuchi, Eijiro ; Ohno, Kazunori ; Tadokoro, Satoshi

  • Author_Institution
    Grad. Sch. of Inf. Sci., Tohoku Univ., Sendai, Japan
  • fYear
    2010
  • fDate
    14-18 Dec. 2010
  • Firstpage
    973
  • Lastpage
    979
  • Abstract
    This paper proposes robust localization method using a free-space observation model with a 3D map for a particle filter. The free-space observation model judges whether the free space of a laser beam of a sensor is appropriate. The observation model realizes highly robust localization in outdoor environments with many unknown obstacles. This paper describes the free-space observation model and the increase in the calculation speed of the observation model. The proposed localization method achieves 1-km localization in outdoor environments with many unknown objects.
  • Keywords
    geographic information systems; optical scanners; particle filtering (numerical methods); robot vision; robust control; 3D-map; calculation speed; free-space observation model; laser beam; outdoor environments; particle filter; robust localization method; Atmospheric measurements; Laser beams; Laser modes; Measurement by laser beam; Particle measurements; Robots; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics (ROBIO), 2010 IEEE International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-9319-7
  • Type

    conf

  • DOI
    10.1109/ROBIO.2010.5723458
  • Filename
    5723458