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
Link To Document :
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