• DocumentCode
    651124
  • Title

    UGV optimal path planning algorithm by using 3D survivability map

  • Author

    Min-Ho Kim ; Min-Cheol Lee

  • Author_Institution
    Pusan Nat. Univ., Busan, South Korea
  • fYear
    2013
  • fDate
    Oct. 30 2013-Nov. 2 2013
  • Firstpage
    325
  • Lastpage
    327
  • Abstract
    UGV has widely used in the battlefield, thus UGV´s survivability technique has become one of the main issue on the path planning algorithm. In this study, 3D survivability map is suggested for UGV survivability, and the optimal path planning algorithm on this map is also suggested. 3D survivability map is a grid map on which the 3D terrain data is combined with the battle field data, and each grid node on the map has UGV´s survival probability value. The suggested path planning algorithm finds the optimal path by comparing the survival probability value of the grid nodes. At last, the simulation program has been developed, and the results are shown to verify the suggested algorithm.
  • Keywords
    military vehicles; mobile robots; path planning; probability; remotely operated vehicles; telerobotics; 3D survivability map; 3D terrain data; UGV optimal path planning algorithm; UGV survivability; UGVs survival probability value; battle field data; grid map; unmanned ground vehicle; 3D Survival Probability; Path Planning Algorithm; UGV;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous Robots and Ambient Intelligence (URAI), 2013 10th International Conference on
  • Conference_Location
    Jeju
  • Print_ISBN
    978-1-4799-1195-0
  • Type

    conf

  • DOI
    10.1109/URAI.2013.6677377
  • Filename
    6677377