• DocumentCode
    2788317
  • Title

    Indoor navigation system based on omni-directional corridorguidelines

  • Author

    Liu, Ji-gang ; Shi, Da-ming ; Leung, Maylor Karhang

  • Author_Institution
    Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore
  • Volume
    3
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    1271
  • Lastpage
    1276
  • Abstract
    Finding way in indoor environments may pose a challenge to people who have some sort of visual loss. This paper describes straight corridor positioning and junction detection algorithms for use in indoor navigation system which is designed for the visually impaired. Also, a model that extracts the edges from the image captured by omni-camera is proposed and the system can direct the visually impaired according to the edge information so that they can move in correct direction and in the middle of the corridor. The proposed navigation system was carried out using omni-camera which can capture images of 360deg view. It has many advantages compared with the conventional camera. Our experiment results show that it works well in corridor environment.
  • Keywords
    computer vision; edge detection; feature extraction; handicapped aids; corridor positioning; edge extraction; indoor navigation system; junction detection algorithm; omnidirectional corridor guideline; visually impaired person; Algorithm design and analysis; Cybernetics; Data mining; Global Positioning System; Guidelines; Image edge detection; Indoor environments; Machine learning; Navigation; Robots; Junction detection; Navigation; Omni-camera; Pathway following;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4620600
  • Filename
    4620600