• DocumentCode
    2804788
  • Title

    Shape recovery of collision zones for obstacle avoidance

  • Author

    Attolico, G. ; Caponetti, L. ; Chiaradia, M.T. ; Distante, A. ; Orazio, T.D. ; Pagano, T.

  • Author_Institution
    IESI-CNR, Bari, Italy
  • fYear
    1991
  • fDate
    3-5 Nov 1991
  • Firstpage
    837
  • Abstract
    Presents an approach to detect moving obstacles in order to define a collision zone around them. The approach uses a camera system to provide image sequences from which the dynamic aspect of the scene can be recovered. In fact, if the camera samples the observation space at some time intervals, a two-dimensional image sequence may be created, due to the relative motion. The analysis of these sequences can be useful to recovery information about the relative notion between a mobile vehicle and the navigation space. The appearance of an obstacle can be recovered using optical flow analysis. The authors compute optical flow maps to solve the problem of detecting discontinuities in the flow field in order to segment the image in different moving objects. An estimation of depth values for the segmented points is accomplished by means of optical flow and focus of expansion. Experimental results on image sequences of a real scene are presented
  • Keywords
    computer vision; computerised navigation; computerised pattern recognition; vehicles; collision zone shape recovery; computerised navigation; depth value estimation; discontinuities; image sequences; mobile vehicle; moving object detection; obstacle avoidance; optical flow analysis; optical flow field; pattern recognition; Cameras; Image motion analysis; Image segmentation; Image sequence analysis; Image sequences; Information analysis; Layout; Optical computing; Shape; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems '91. 'Intelligence for Mechanical Systems, Proceedings IROS '91. IEEE/RSJ International Workshop on
  • Conference_Location
    Osaka
  • Print_ISBN
    0-7803-0067-X
  • Type

    conf

  • DOI
    10.1109/IROS.1991.174589
  • Filename
    174589