• DocumentCode
    975592
  • Title

    Steering a robot with vanishing points

  • Author

    Schuster, Rolf ; Ansari, Nirwan ; Bani-Hashemi, Ali

  • Author_Institution
    Siemens AG, Munich, Germany
  • Volume
    9
  • Issue
    4
  • fYear
    1993
  • fDate
    8/1/1993 12:00:00 AM
  • Firstpage
    491
  • Lastpage
    498
  • Abstract
    The paper analyzes the use of vanishing points for steering a robot. Parallel lines in the environment of the robot are used to compute vanishing points which serve as a reference for guiding the robot. To accomplish the steering task, three subtasks are performed: detection of straight lines, computation of vanishing points, and robot steering using vanishing points. Straight lines are detected by employing a high precision edge detector and a line-fitting algorithm. The cross product method introduced by Magee and Aggarwal (1984) is modified to make the detection of vanishing points appropriate for an indoor environment. Properties of vanishing points under camera rotation and translation are derived. Using these properties, the location of the vanishing points can serve as a reference for steering the robot. A model of the robot environment is defined, summarizing the minimum number of constraints necessary for the method to work. Finally, the limitations as well as the advantages of using vanishing points in robot navigation are discussed
  • Keywords
    computer vision; computerised navigation; mobile robots; camera rotation; cross product method; guiding; high precision edge detector; indoor environment; line-fitting algorithm; navigation; parallel lines; robot; robot environment; steering; straight lines detection; translation; vanishing points; Cameras; Concurrent computing; Detectors; Image edge detection; Indoor environments; Least squares approximation; Mobile robots; Navigation; Parallel robots; Robot vision systems;
  • fLanguage
    English
  • Journal_Title
    Robotics and Automation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1042-296X
  • Type

    jour

  • DOI
    10.1109/70.246061
  • Filename
    246061