TY - GEN
T1 - Three-Dimensional Path Planning for Unmanned Aerial Vehicles Based on the Developed RRT Algorithm
AU - Zekui, Qin
AU - Rui, Wang
AU - Xiwang, Dong
AU - Qingdong, Li
AU - Dongyang, Fang
AU - Zhang, Ren
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8
Y1 - 2018/8
N2 - This paper proposed a multi-constraint developed rapidly exploring random tree (RRT) algorithm to solve the problem of unmanned aerial vehicles (UAVs) path planning in three-dimensional environments. On the basis of traditional RRT algorithm, corner constraint and path length constraint are considered to restrict the turn angle and path length respectively, making the generated track satisfy conditions of flight. In addition, the third order Bezier curves are used to smooth the path. Finally, four groups of contrastive simulation results show advantages of the developed RRT algorithm over the traditional one.
AB - This paper proposed a multi-constraint developed rapidly exploring random tree (RRT) algorithm to solve the problem of unmanned aerial vehicles (UAVs) path planning in three-dimensional environments. On the basis of traditional RRT algorithm, corner constraint and path length constraint are considered to restrict the turn angle and path length respectively, making the generated track satisfy conditions of flight. In addition, the third order Bezier curves are used to smooth the path. Finally, four groups of contrastive simulation results show advantages of the developed RRT algorithm over the traditional one.
KW - Developed RRT Algorithm
KW - Multiple Constraints
KW - Three Dimensional Environment
KW - UAV Path Planning
UR - https://www.scopus.com/pages/publications/85082437428
U2 - 10.1109/GNCC42960.2018.9018965
DO - 10.1109/GNCC42960.2018.9018965
M3 - 会议稿件
AN - SCOPUS:85082437428
T3 - 2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018
BT - 2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018
Y2 - 10 August 2018 through 12 August 2018
ER -