• DocumentCode
    2652098
  • Title

    Fast any-angle path planning on grid maps with non-collision pruning

  • Author

    Choi, Sunglok ; Lee, Jae-Yeong ; Yu, Wonpil

  • Author_Institution
    Robot & Cognitive Syst. Res. Dept., Electron. & Telecommunica tions Res. Inst. (ETRI), Daejeon, South Korea
  • fYear
    2010
  • fDate
    14-18 Dec. 2010
  • Firstpage
    1051
  • Lastpage
    1056
  • Abstract
    A* on grid maps generates a path with zig-zag pattern as shown in Figure 1(a). Theta* had been proposed to produce a natural and shorter path as shown in Figure 1(b). However, it needs to perform a collision test at every cell expansion. The collision test significantly degrades computing time of Theta*. This paper proposes two pruning schemes to accelerate the collision test in Theta*: non-collision pruning and over-cautious pruning. During expanding search region, previously visited cells can entail the test result before it reaches the last cell. This paper investigates conditions which lead to such early termination. The conditions are easily incorporated with a fast collision test, Bresenham´s algorithm. We performed experiments on two different types of maps: random and real maps. On real maps, the pruning schemes accelerated Theta* around two times.
  • Keywords
    collision avoidance; mobile robots; Bresenham algorithm; Theta; any-angle path planning; cell expansion; collision test; grid maps; noncollision pruning; over-cautious pruning; zig-zag pattern; Acceleration; Biological system modeling; Cost function; Euclidean distance; Path planning; Roads; Robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics (ROBIO), 2010 IEEE International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-9319-7
  • Type

    conf

  • DOI
    10.1109/ROBIO.2010.5723473
  • Filename
    5723473