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基于栅格空间V图的无人机路径规划
引用本文:王振华,章卫国,刘小雄,李广文.基于栅格空间V图的无人机路径规划[J].计算机测量与控制,2009,17(6):1212-1214.
作者姓名:王振华  章卫国  刘小雄  李广文
作者单位:西北工业大学,自动化学院,陕西,西安,710072
摘    要:在进行无人机低空飞行的路径规划时,障碍物已不能简单的简化为点状;针对该问题,首先将带有面状障碍物的图片格式地图以像素为单位进行栅格划分,在定义了栅格距离后,进行距离变换,并运用边界跟踪方法生成栅格空间V图;其次,将A-Star算法的启发思想引入到蚁群算法中,并修改了启发信息计算公式以使蚁群算法更适合于栅格空间优化;最后,以栅格空间V图为初始路径,运用改进的蚁群算法进行优化选择,得到了满意的路径规划结果。

关 键 词:栅格  V图  蚁群算法  无人机  路径规划

UAV Route Planning Using V-diagram in Grid Space
Wang Zhenhua,Zhang Weiguo,Liu Xiaoxiong,Li Guangwen.UAV Route Planning Using V-diagram in Grid Space[J].Computer Measurement & Control,2009,17(6):1212-1214.
Authors:Wang Zhenhua  Zhang Weiguo  Liu Xiaoxiong  Li Guangwen
Affiliation:College of Automation;Northwestern Polytechnical University;Xi'an 710072;China
Abstract:When the UAVs fly at a low altitude,the obstacles should not be simplified as points.To solve this problem,firstly the map picture is split into grids in the level of pixels,after defining the distance between the grids,the map picture is mapped into the grid space and the V-diagram is constructed using the edge tracking method.Secondly,we introduce the heuristic information used in the A-Star algorithm into the Ant Colony System,and modified the formula for the calculation of the amount of the heuristic in...
Keywords:grid  V-diagram  Ant colony system  UAV  route planning  
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