Title :
Path planning algorithm of level set based on grid modeling
Author :
Wang Na ; Chen Ping
Author_Institution :
Sch. of Math. & Comput., Hengshui Coll., Hengshui, China
Abstract :
Path planning is the important part in the mobile robots fields. Up to now, the solution methods for path planning mainly include grid method, the artificial potential method, ant colony algorithms, neural network. Level set methods have been used in various tasks of image processing with many advantages such as ability to deal with topology change and better stability. Level set also can be applied in the path planning for mobile robots. Because of the complexion of algorithms, the application is less. In order to simplify the calculation of the level set method, this paper proposes a method with grid model, a new consumption function and a new search method. Finally, this paper gives the results of the experiment and the visual interface.
Keywords :
mobile robots; path planning; artificial potential method; grid modeling; image processing; mobile robots; path planning algorithm; Algorithm design and analysis; Artificial neural networks; Grid computing; Level set; Mathematical model; Mathematics; Mobile robots; Partial differential equations; Path planning; Stability; grid; level set; path planing;
Conference_Titel :
Computer Design and Applications (ICCDA), 2010 International Conference on
Conference_Location :
Qinhuangdao
Print_ISBN :
978-1-4244-7164-5
Electronic_ISBN :
978-1-4244-7164-5
DOI :
10.1109/ICCDA.2010.5541073