Title :
Global path planning for omnidirectional vehicles based on Bezier curve and dynamic constraints
Author :
Han Xiong ; Huasong Min
Author_Institution :
Coll. of Comput. Sci. & Technol., Wuhan Univ. of Sci. & Technol., Wuhan, China
Abstract :
This paper presents a global path planning method for omnidirectional vehicles. The method plans a smooth and optimal path in polygonal obstacle environment, determining the velocity and trajectory by dynamic constrains of omnidirectional vehicles. The results of simulation have demonstrated the improvement of trajectory generation in terms of motion time and path length compared to potential field method and A* algorithm.
Keywords :
collision avoidance; trajectory control; vehicles; Bezier curve; dynamic constrains; dynamic constraints; global path planning method; omnidirectional vehicles; optimal path; polygonal obstacle environment; potential field method; trajectory generation; velocity; Heuristic algorithms; Robots; Trajectory; Vehicle dynamics; Vehicles; Wheels; A* algorithm; Bezier curve; Dynamic constraints; Global path planning;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2013 10th International Conference on
Conference_Location :
Shenyang
DOI :
10.1109/FSKD.2013.6816268