Title :
Trajectory planning of Unmanned Aerial Vehicle based on A* algorithm
Author :
Hao Xu ; Xiangrong Xu ; Yan Li ; Xiaosheng Zhu ; Liming Jia ; Dongqing Shi
Author_Institution :
Sch. of Math. & Phys., Anhui Univ. of Technol., Ma´anshan, China
Abstract :
The trajectory planning of Unmanned Aerial Vehicle (UAV) and Aerial Robots generally refers to a series of optimization problems. This paper presents a method of trajectory planning and design for UAV based on the A* algorithm. Using grids to process the trajectory path planning of UAV under the environment with presence of obstacles, and then search the shortest path from the initial point to the target point based on rasterized environment using A* algorithm. The simulation of trajectory planning is implemented in the Microsoft Visual C++ 6.0 developing environment. Through the simulation of trajectory planning, it can be proved that UAV can find the shortest path from the initial point to the target point based on A* algorithm.
Keywords :
C++ language; autonomous aerial vehicles; collision avoidance; control engineering computing; trajectory control; A* algorithm; Microsoft Visual C++ 6.0 developing environment; UAV; aerial robots; obstacle presence; trajectory path planning; trajectory planning simulation; unmanned aerial vehicle; Algorithm design and analysis; Educational institutions; Heuristic algorithms; Planning; Robots; Trajectory; A* algorithm; UAV; Visual C++ trajectory simulation; trajectory planning;
Conference_Titel :
Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2014 IEEE 4th Annual International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4799-3668-7
DOI :
10.1109/CYBER.2014.6917508