• DocumentCode
    3179037
  • Title

    Integrated Sensing Framework for 3D Mapping in Outdoor Navigation

  • Author

    Katz, R. ; Melkumyan, N. ; Guivant, J. ; Bailey, T. ; Nieto, J. ; Nebot, E.

  • Author_Institution
    Australian Centre for Field Robotics, Sydney Univ., NSW
  • fYear
    2006
  • fDate
    9-15 Oct. 2006
  • Firstpage
    2264
  • Lastpage
    2269
  • Abstract
    Although full 3D navigation and mapping is recognized as one of the most important challenges for autonomous navigation, the lack of robust sensors, providing 3D information in real time, has burdened the progress in this direction. This paper presents our ongoing work towards the deployment of an integrated sensing system for 3D mapping in outdoor environments. We first describe a 3D data acquisition architecture based on a standard 2D laser. Techniques for registering scans using a scan matching procedure and for estimating the errors are then introduced. We finally present results showing the performance of the proposed architecture in real outdoor environments by means of the integration of the 3D scans with dead reckoning and inertial measurement unit (IMU) information
  • Keywords
    SLAM (robots); path planning; robots; 3D data acquisition architecture; 3D mapping; autonomous navigation; dead reckoning; inertial measurement unit; outdoor navigation; simultaneous localization and mapping; Data acquisition; Dead reckoning; Intelligent robots; Laser radar; Navigation; Robot sensing systems; Robustness; Simultaneous localization and mapping; Uncertainty; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    1-4244-0258-1
  • Electronic_ISBN
    1-4244-0259-X
  • Type

    conf

  • DOI
    10.1109/IROS.2006.282571
  • Filename
    4058721