• DocumentCode
    2435722
  • Title

    Vision based environment recognition for mobile robot in irregular ground

  • Author

    Okazaki, Shin Ya ; Tanaka, Takayuki ; Kanek, Syun Ichi ; Matsushita, Akihiko

  • Author_Institution
    Hokkaido Univ., Sapporo
  • fYear
    2007
  • fDate
    17-20 Oct. 2007
  • Firstpage
    107
  • Lastpage
    111
  • Abstract
    This study aims to develop an environment recognition method for a mobile robot using visual information in irregular ground. A mobile robot can autonomous movement, an environment recognition and object tracking by using visual information. But researches using visual information do not consider irregular ground. Visual information have errors in irregular ground. There are handling method by image processing technology, but that have limitations. So, We realize an environment recognition using visual information in irregular ground. We describe a relationship desparity errors between measurement errors of stereo method. Next, we measure distribution of disparity errors and propose correction method by disparity errors. We experiment moving on flat surface and irregular ground and verified effectiveness correction method by disparity errors.
  • Keywords
    mobile robots; object recognition; robot vision; tracking; disparity error; image processing technology; irregular ground; mobile robot; object tracking; vision based environment recognition; visual information; Cameras; Electrical capacitance tomography; Electronic mail; Error correction; Measurement errors; Mechanical sensors; Mobile robots; Navigation; Roads; Robot vision systems; Disparity Error; Irregular Ground; Mobile Robot; Position Correction; Vision Based Recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems, 2007. ICCAS '07. International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-89-950038-6-2
  • Electronic_ISBN
    978-89-950038-6-2
  • Type

    conf

  • DOI
    10.1109/ICCAS.2007.4406889
  • Filename
    4406889