• DocumentCode
    3007704
  • Title

    A hybrid map representation for simultaneous localization and mapping of the internal ruins environment

  • Author

    Nan Wang ; Shugen Ma ; Bin Li ; Minghui Wang ; Mingyang Zhao

  • Author_Institution
    State Key Lab. of Robot., Shenyang Inst. of Autom., Shenyang, China
  • fYear
    2013
  • fDate
    26-28 Aug. 2013
  • Firstpage
    1060
  • Lastpage
    1065
  • Abstract
    According to morphological characteristics in the interior of ruins after an earthquake disaster, a map representation technique for ruins environment is presented, and a corresponding simultaneous localization and mapping algorithm on the basis of hybrid map is proposed. Based on the topological metric hybrid map, the algorithm describes ruins environment at different levels. At global level, the topological map organizes the overall structure and also ensures the computing capability and ambient adaptability. Then, through building a local metric map at each topological node region, irregular obstacles formed by random seismic damage are described. Finally, experiments in an artificial ruins environment show that the algorithm can realize localization and mapping at the complicated environment.
  • Keywords
    SLAM (robots); cartography; control engineering computing; disasters; earthquakes; fracture; geographic information systems; robot vision; seismology; topology; ambient adaptability; artificial ruins environment; earthquake disaster; global level; hybrid map representation; internal ruins environment; irregular obstacles; local metric map; morphological characteristics; random seismic damage; simultaneous localization and mapping algorithm; topological metric hybrid map; topological node region; Accuracy; Buildings; Feature extraction; Measurement; Simultaneous localization and mapping; Surface morphology; hybrid map representation; ruins environment; simultaneous localization and mapping; topological map;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation (ICIA), 2013 IEEE International Conference on
  • Conference_Location
    Yinchuan
  • Type

    conf

  • DOI
    10.1109/ICInfA.2013.6720452
  • Filename
    6720452