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
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