• DocumentCode
    349879
  • Title

    Segmentation algorithm of the infrared laser beam reflection in noisy environments. Characterization and modeling for its application in mobiles guidance

  • Author

    Gardel, A. ; Lazaro, Jose Luis ; Mataix, C. ; Martín, E. ; Bueno, E.

  • Author_Institution
    Dept. de Electron., Alcala Univ., Madrid, Spain
  • Volume
    1
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    615
  • Abstract
    This work deals with the reconstruction and detection of a laser beam mounted on a mobile platform. Special care has been taken in the capture of the laser beam in indoor environments. An analysis of the power requirement of the laser diode was carried out for safety reasons. An algorithm capable of segmenting the laser stripe is presented. The applied strategy is described step by step, using computer vision techniques. This algorithm, in addition to treat complex scenes with different light levels and objects with distinct infrared absorption, solves the problem that involve moving objects, as well as taking into account the displacement of the robot over which the system is mounted. Finally, it is shown that the whole structure and experimental results obtained with the mapping to spatial coordinates, once the sensor system is calibrated, give a precise view of the mobile surroundings
  • Keywords
    computerised navigation; feature extraction; image segmentation; laser beam applications; mobile robots; robot vision; IR laser beam reflection; computer vision; feature extraction; image segmentation; indoor navigation; mobile robots; spatial coordination mapping; Computer vision; Diode lasers; Electromagnetic wave absorption; Indoor environments; Laser beams; Layout; Optical reflection; Robot kinematics; Robot sensing systems; Safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies and Factory Automation, 1999. Proceedings. ETFA '99. 1999 7th IEEE International Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    0-7803-5670-5
  • Type

    conf

  • DOI
    10.1109/ETFA.1999.815412
  • Filename
    815412