Title :
The development of the battle field simulation program using the survivability on the probability map
Author :
Min-Ho Kim ; Min-Cheol Lee
Author_Institution :
Control & Autom. Syst. Div., Pusan Nat. Univ., Busan, South Korea
Abstract :
There are a lot of researches on the path planning algorithm for those of the unmanned vehicle. Previous researches related to the path planning mainly focused on finding the shortest path on the given map. However, on the battle field, if the vehicle just moves along the shortest path, it could not reach the goal, because of the enemy´s attack. Therefore it´s necessary that the new path planning algorithm for the unmanned vehicle on the battle field. In this paper, we will suggest a new path planning algorithm for the vehicle on the battle field using extended A* algorithm with survivability. For this, we will define the survivability and develop the additional cost function to find the optimal path in this situation. To verify the proposed algorithm, we developed the simulation program and the results will be shown.
Keywords :
control engineering computing; digital simulation; military computing; military vehicles; mobile robots; path planning; probability; reliability; remotely operated vehicles; battle field simulation program; cost function; extended A* algorithm; optimal path; path planning algorithm; probability map; survivability; unmanned vehicle; Cost function; Educational institutions; Equations; Heuristic algorithms; Mathematical model; Path planning; Vehicles; A* algorithm; Path Planning Algorithm; Survival Probability; Unmanned Vehicle;
Conference_Titel :
Ubiquitous Robots and Ambient Intelligence (URAI), 2012 9th International Conference on
Conference_Location :
Daejeon
Print_ISBN :
978-1-4673-3111-1
Electronic_ISBN :
978-1-4673-3110-4
DOI :
10.1109/URAI.2012.6463003