Improved RRT_Connect Algorithm for UAV Route Planning

被引：0
|
作者：
Xie Ke [1 ]
Liu Zheng-Hua [1 ,2 ]
Wen Nuan [1 ]
机构：
[1] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China
[2] Beihang Univ, Sci & Technol Aircraft Control Lab, Beijing 100191, Peoples R China
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ADVANCES IN MECHANICAL ENGINEERING AND INDUSTRIAL INFORMATICS | 2015年 / 15卷
关键词：
Route planning; RRT; UAV; Comparison method; Fuzzy Inference; OPTIMIZATION;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In the research of route planning, better balance between planning time and route quality should be achieved to reduce UAVs cost. This article is based on basic RRT (Rapidly-exploring Random Trees) and proposes an improved RRT_Connect algorithm which improves the way generating new node of the tree, and changes the parameters by the fuzzy inference according to the circumstance. Simulation and experiments prove that the improved RRT_Connect algorithm improves the efficiency of the planning and optimizes the route.
引用
收藏
页码：926 / 932
页数：7
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