• DocumentCode
    3154398
  • Title

    Vision based obstacle detection using 3D HSV histograms

  • Author

    Derhgawen, Ashish R. ; Ghose, D.

  • Author_Institution
    Dept. of Aerosp. Eng., Indian Inst. of Sci., Bangalore, India
  • fYear
    2011
  • fDate
    16-18 Dec. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents a fast obstacle detection algorithm for mobile robots that uses a single color camera as the only sensor to detect unknown obstacles in an environment. The algorithm uses color HSV histograms to classify each individual pixel as belonging either to an obstacle, or the ground based on its appearance. The system is capable of performing high speed obstacle detection on both uniform and multicolored terrains.
  • Keywords
    collision avoidance; image classification; image colour analysis; image sensors; mobile robots; object detection; robot vision; 3D HSV histograms; color HSV histograms; mobile robots; pixel classification; single color camera; vision based obstacle detection; Cameras; Collision avoidance; Computers; Histograms; Image color analysis; Robot sensing systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    India Conference (INDICON), 2011 Annual IEEE
  • Conference_Location
    Hyderabad
  • Print_ISBN
    978-1-4577-1110-7
  • Type

    conf

  • DOI
    10.1109/INDCON.2011.6139381
  • Filename
    6139381