• DocumentCode
    3267661
  • Title

    Building qualitative elevation maps from side scan sonar data for autonomous underwater navigation

  • Author

    Langer, D. ; Hebert, M.

  • Author_Institution
    Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    1991
  • fDate
    9-11 Apr 1991
  • Firstpage
    2478
  • Abstract
    Deriving a terrain model from sensor data is an important task for the autonomous navigation of a mobile robot. An approach is presented for autonomous underwater vehicles using a side scan sonar system. Some general aspects of the type of data and filtering techniques to improve it are discussed. An estimated bottom contour is derived using a geometric reflection model and information about shadows and highlights. Several techniques of surface reconstruction and their limitations are presented. A method is presented for feature extraction which is important for future data matching/fusion procedures
  • Keywords
    acoustic signal processing; filtering and prediction theory; marine systems; navigation; sonar; autonomous underwater navigation; feature extraction; filtering; geometric reflection model; qualitative elevation maps; side scan sonar data; surface reconstruction; terrain model; Feature extraction; Filtering; Mobile robots; Noise reduction; Optical reflection; Robotics and automation; Sea surface; Sonar navigation; Surface reconstruction; Underwater vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1991. Proceedings., 1991 IEEE International Conference on
  • Conference_Location
    Sacramento, CA
  • Print_ISBN
    0-8186-2163-X
  • Type

    conf

  • DOI
    10.1109/ROBOT.1991.131997
  • Filename
    131997