• DocumentCode
    3029117
  • Title

    Image-based detection and obstacle avoidance for mobile robots

  • Author

    Chen, Cheng-Chuan ; Lu, Ming-Chih ; Chang, Pei-Chun ; Tsai, Cheng-Pei ; Tang, Tien-Yu

  • Author_Institution
    Dept. of Electr. Eng., St. John´´s Univ., Taipei
  • fYear
    2009
  • fDate
    10-12 Feb. 2009
  • Firstpage
    193
  • Lastpage
    197
  • Abstract
    In this paper, we use two visible laser points as the measuring ruler for automatically adjusting measurement. It is a breakthrough compared with using double CCD cameras or the measuring method of setting up reference at measuring points. By using a single image, we can realize the non-contact distance measurement. The measuring principle is to produce two bright projection spots on the measuring surface with two parallel lasers projectors. As a result, the pixel value between the spots will change in accordance with the shooting distance. As long as the pixel value between the two bright spots in the image frame can be identified, distance measurement can be obtained for detection and obstacle avoidance for mobile robots by using a single camera image.
  • Keywords
    CCD image sensors; collision avoidance; distance measurement; mobile robots; robot vision; double CCD cameras; image-based detection; mobile robots; noncontact distance measurement; obstacle avoidance; parallel lasers projectors; shooting distance; single camera image; Area measurement; Digital cameras; Displays; Distance measurement; Electric variables measurement; Mobile robots; Performance evaluation; Pixel; Ultrasonic imaging; Ultrasonic variables measurement; non-contact distance measurement; pixel; projection bright spot;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Autonomous Robots and Agents, 2009. ICARA 2009. 4th International Conference on
  • Conference_Location
    Wellington
  • Print_ISBN
    978-1-4244-2712-3
  • Electronic_ISBN
    978-1-4244-2713-0
  • Type

    conf

  • DOI
    10.1109/ICARA.2000.4803921
  • Filename
    4803921