• DocumentCode
    124583
  • Title

    Automatic path planning and navigation with stereo cameras

  • Author

    Shenlu Jiang ; Zhonghua Hong ; Yun Zhang ; Yanling Han ; Ruyan Zhou ; Bo Shen

  • Author_Institution
    Inf. Technol. Coll., Shanghai Ocean Univ., Shanghai, China
  • fYear
    2014
  • fDate
    11-14 June 2014
  • Firstpage
    289
  • Lastpage
    293
  • Abstract
    Aiming at the scarcity of research of vehicle´s navigation in non-signal environment, this paper prevents an approach of automatic path planning and navigation by two stereo cameras. Our approach is consist of three major steps. The first issue is stereo cameras calibration, to get parameters of camera. And then, SGM (Semi-Global Matching) algorithm, contribute in this part in order to get precise 3-Demotional landform. With the landform information, robot can relocate itself by comparing the landform got from satellite image in advance, in addition, avoiding unknown obstacles. Finally, vehicle followed path planned by A-star algorithm dynamically. The experiment shows that stereo cameras algorithm can accurately reconstruct 3-Dimentional landform, which directly make vehicle reorient itself accurately, therefore vehicle runs on the optimized path, navigation carry out successfully.
  • Keywords
    cameras; collision avoidance; image reconstruction; mobile robots; navigation; robot vision; stereo image processing; 3D landform reconstruction; A-star algorithm; SGM algorithm; automatic path planning; camera parameters; landform information; nonsignal environment; path optimization; robot relocation; satellite image; semiglobal matching algorithm; stereo camera algorithm; stereo camera calibration; unknown obstacle avoidance; vehicle navigation; vehicle reorientation; Calibration; Cameras; Educational institutions; Navigation; Stereo vision; Valves; Vectors; Navigation; Semi Global Matching (SGM); Stereo Vision; path planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Earth Observation and Remote Sensing Applications (EORSA), 2014 3rd International Workshop on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-5757-6
  • Type

    conf

  • DOI
    10.1109/EORSA.2014.6927897
  • Filename
    6927897