Improved RRT_Connect Algorithm for UAV Route Planning

DOI

10.2991/ameii-15.2015.172How to use a DOI?

Keywords

Route planning; RRT; UAV; Comparison method; Fuzzy Inference

Abstract

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ke Xie
AU  - Zheng-Hua Liu
AU  - Nuan Wen
PY  - 2015/04
DA  - 2015/04
TI  - Improved RRT_Connect Algorithm for UAV Route Planning
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 926
EP  - 932
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.172
DO  - 10.2991/ameii-15.2015.172
ID  - Xie2015/04
ER  -