UAV path planning based on Improved Rapidly -exploring Random Tree

被引：0

作者：

Sun Qinpeng ^{[1
]}

Li Meng ^{[1
]}

Wang Tianhe ^{[1
]}

Zhao Chenpeng ^{[2
]}

机构：

[1] Univ Jinan, Coll Elect Engn, Jinan 250022, Peoples R China

[2] Shandong Univ, Sch Control Sci & Engn, Jinan 250100, Peoples R China

来源：

PROCEEDINGS OF THE 30TH CHINESE CONTROL AND DECISION CONFERENCE (2018 CCDC) | 2018年

关键词：

Unmanned Aerial Vehicle; Rapidly-exploring Random Tree; Path planning;

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：

The RRT algorithm can be used for path planning of Unmanned Aerial Vehicle (UAV). However, the efficiency and success rate of the basic RRT algorithm for path planning need to be improved. In view of this problem, this paper proposed an improved RRT algorithm which based on the dynamic p9 value and the dynamic step length, and bidirectional RRT (Bi-RRT) is combined. The effectiveness and advance of the improved RRT algorithm are verified by simulation experiment.

引用

页码：6420 / 6424

页数：5

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