Zhan Weiwei, Wang Wei, Chen Nengcheng, Wang Chao. Path Planning Strategies for UAV Based on Improved A*Algorithm[J]. Geomatics and Information Science of Wuhan University, 2015, 40(3): 315-320.
Citation: Zhan Weiwei, Wang Wei, Chen Nengcheng, Wang Chao. Path Planning Strategies for UAV Based on Improved A*Algorithm[J]. Geomatics and Information Science of Wuhan University, 2015, 40(3): 315-320.

Path Planning Strategies for UAV Based on Improved A*Algorithm

  • This study proposes a modified A* algorithm to solve the problem of realtime unmanned air vehicle(UAV) path planning in a large 3D battlefield environment. Since the UAV has to meet the requirements of high survival rate and low fuel consumption in low-altitude penetration,the algorithm took the flight altitude,detected probability and flight length into consideration to search the optimal flight path between two waypoints. Meanwhile,to satisfy the UAV perfor-mance constraints,such as safety altitude,rate of climb,and radius of turn,the author suggested a series of optimization algorithms to get the final flyable path.Experimental results show that these algorithms have good convergence and high efficiency andprovided a optimal trajectory for decision-makers.
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