• DocumentCode
    1740153
  • Title

    Multisensor on-the-fly localization using laser and vision

  • Author

    Arras, Kai O. ; Tomatis, Nicola ; Siegwart, Roland

  • Author_Institution
    Autonomous Syst. Lab., Swiss Federal Inst. of Technol., Lausanne, Switzerland
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    462
  • Abstract
    In this paper a multisensor setup for localization consisting of a 360 degree laser range finder and a monocular vision system is presented. Its practicability under conditions of continuous localization during motion in real-time (referred to as on-the-fly localization) is investigated in large-scale experiments. The features in use are infinite horizontal lines for the laser and vertical lines for the camera providing an extremely compact environment representation. They are extracted using physically well-grounded models for all sensors and passed to the Kalman filter for fusion and position estimation. Very high localization precision is obtained in general. The vision information has been found to further increase this precision, particular in the orientation, already with a moderate number of matched features. The results were obtained with a fully autonomous system where extensive tests with an overall length of more than 1.4 km and 9,500 localization cycles have been conducted. Furthermore, general aspects of multisensor on-the-fly localization are discussed
  • Keywords
    computerised navigation; laser ranging; mobile robots; real-time systems; robot vision; sensor fusion; Kalman filter; infinite horizontal lines; large-scale experiments; laser range finder; monocular vision system; multisensor on-the-fly localization; position estimation; real-time motion; robot vision; sensor fusion; vertical lines; very high localization precision; Cameras; Data mining; Laser modes; Laser theory; Machine vision; Mobile robots; Navigation; System testing; Uncertainty; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2000. (IROS 2000). Proceedings. 2000 IEEE/RSJ International Conference on
  • Conference_Location
    Takamatsu
  • Print_ISBN
    0-7803-6348-5
  • Type

    conf

  • DOI
    10.1109/IROS.2000.894647
  • Filename
    894647