• DocumentCode
    3345894
  • Title

    A sensor platform for outdoor navigation using gyro-assisted odometry and roundly-swinging 3D laser scanner

  • Author

    Yoshida, Tomoaki ; Irie, Kiyoshi ; Koyanagi, Eiji ; Tomono, Masahiro

  • Author_Institution
    Future Robot. Technol. Center, Chiba Inst. of Technol., Narashino, Japan
  • fYear
    2010
  • fDate
    18-22 Oct. 2010
  • Firstpage
    1414
  • Lastpage
    1420
  • Abstract
    This paper proposes a light-weight sensor platform that consists of gyro-assisted odometry and a 3D laser scanner for localization of human-scale robots. The gyro-assisted odometry provides highly accurate positioning only by dead-reckoning. The 3D laser scanner has a wide field of view and uniform measuring-point distribution. Robust and computationally inexpensive localization is implemented on the sensor platform using a particle filter on a 2D grid map generated by projecting 3D points on to the ground. The system uses small and low-cost sensors, and can be applied to a variety of mobile robots in human-scale environments. Outdoor navigation experiments were performed at the Tsukuba Challenge 2009, which is an open proving ground for human-scale robots. Our robot successfully navigated the assigned 1-km course in a fully autonomous mode multiple times.
  • Keywords
    image sensors; mobile robots; optical scanners; particle filtering (numerical methods); path planning; position control; service robots; 2D grid map; Tsukuba Challenge; dead-reckoning; gyro-assisted odometry; human-scale robots; light-weight sensor Platform; localization; mobile robots; outdoor navigation; particle filter; roundly-swinging 3D laser scanner; uniform measuring-point distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems (IROS), 2010 IEEE/RSJ International Conference on
  • Conference_Location
    Taipei
  • ISSN
    2153-0858
  • Print_ISBN
    978-1-4244-6674-0
  • Type

    conf

  • DOI
    10.1109/IROS.2010.5652172
  • Filename
    5652172