• DocumentCode
    2058820
  • Title

    Ground plane detection for autonomous vehicle in rainforest terrain

  • Author

    Teoh, CheeWay ; Tan, ChingSeong ; Tan, Yong Chai

  • Author_Institution
    Univ. Tunku Abdul Rahman, Kuala Lumpur, Malaysia
  • fYear
    2010
  • fDate
    20-21 Nov. 2010
  • Firstpage
    7
  • Lastpage
    12
  • Abstract
    This paper presents the determination of the ground plane method for navigation in rainforest terrain using stereo vision. Ground plane detection plays an important role for obstacle detection task as it act as the reference plane of the scene. V-disparity image is widely used to detect the ground plane for on-road and off-road navigation. However, it relies on distinct road features such as lines and edges which may not exist in rainforest terrain. In this work, we attempted to use colour clustering method to extract possible ground profile even without using distinct road features.
  • Keywords
    collision avoidance; feature extraction; image colour analysis; mobile robots; pattern clustering; robot vision; stereo image processing; terrain mapping; V-disparity image; autonomous vehicle; colour clustering method; ground plane detection; obstacle detection task; off-road navigation; on-road navigation; rainforest terrain; stereo vision; Dielectrics; Differential equations; Equations; Mathematical model; Optical waveguides; Refractive index; V-disparity image; ground plane; rainforest terrain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Utilization and Development in Engineering and Technology (STUDENT), 2010 IEEE Conference on
  • Conference_Location
    Petaling Jaya
  • Print_ISBN
    978-1-4244-7504-9
  • Type

    conf

  • DOI
    10.1109/STUDENT.2010.5687001
  • Filename
    5687001