DocumentCode
176138
Title
Variable probability based bidirectional RRT algorithm for UAV path planning
Author
Wu Xinggang ; Guo Cong ; Li Yibo
Author_Institution
Sch. of Autom., Shenyang Aerosp. Univ., Shenyang, China
fYear
2014
fDate
May 31 2014-June 2 2014
Firstpage
2217
Lastpage
2222
Abstract
Since the traditional rapidly-exploring random tree connect (RRT-connect) algorithm cannot be applied to the problem of unmanned aerial vehicle (UAV) path planning directly, a variable probability based bidirectional RRT algorithm (VPB-RRT) is proposed. The restriction of the turning angle of UAV is joined in the process of generating random points of the programming algorithm, which makes the performance of the track satisfy the conditions for flight. By using this algorithm to identify the probability though rasterizing the planning space and importing the concept of coverage rate, track has been made to satisfy the respects of online time and accuracy of UAV path planning. Compared with the A* algorithm, traditional RRT algorithm and RRT-connect algorithm, the results show that VPB-RRT fully satisfies the requirements of online UAV path planning which with shorter time and higher accuracy.
Keywords
autonomous aerial vehicles; path planning; probability; trees (mathematics); RRT-connect algorithm; VPB-RRT; coverage rate; flight conditions; online UAV path planning; planning space; programming algorithm; random points generation; rapidly-exploring random tree connect algorithm; track performance; turning angle restriction; unmanned aerial vehicle path planning; variable probability based bidirectional RRT algorithm; Educational institutions; Heuristic algorithms; Path planning; Planning; Programming; Turning; Vectors; Coverage Rate; RRT-connect Algorithm; Restriction; UAV Path Planning; Variable Probability Based Bidirectional RRT Algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location
Changsha
Print_ISBN
978-1-4799-3707-3
Type
conf
DOI
10.1109/CCDC.2014.6852537
Filename
6852537
Link To Document