• DocumentCode
    3694379
  • Title

    Classification of ascending steps and stairs using Time-of-Flight sensor data

  • Author

    Carsten Stahlschmidt;Alexandros Gavriilidis;Anton Kummert

  • Author_Institution
    Faculty of Electrical Engineering and Media Technologies, University of Wuppertal, D-42119 Wuppertal, Germany
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper proposes a method to analyse human-made environments in order to verify the presence of ascending steps or stairs. Our system is intended to assist visually impaired people by providing acoustic information about the scene in front of a low-resolution Time-of-Flight (ToF) camera that is fixed to a mobile vehicle (rollator). Detailed instructions to the user about potentially hazardous situations are provided. This paper in particular deals with a fast approach on classification of ascending steps in 3D point clouds. This method is part of a system that aims on enhancing visually impaired persons understand the environment and help prevent collisions.
  • Keywords
    "Three-dimensional displays","Cameras","Data mining","Algorithm design and analysis","Gray-scale","Acoustics","Mobile communication"
  • Publisher
    ieee
  • Conference_Titel
    Multidimensional (nD) Systems (nDS), 2015 IEEE 9th International Workshop on
  • Type

    conf

  • DOI
    10.1109/NDS.2015.7332643
  • Filename
    7332643