DocumentCode
3582832
Title
Topological map building for mobile robots based on thining algorithm
Author
Shan-Shan Xue ; Yong Zhang ; Jin Cheng ; Qin-Jun Zhao
Author_Institution
Sch. of Electr. Eng., Univ. of Jinan, Jinan, China
fYear
2014
Firstpage
119
Lastpage
123
Abstract
With the development of science and technology, mobile robots have more and more extensive applications to complete the task in unknown environment. Create the environmental map of the unknown space is a key to control and navigation of mobile robots. We focus on the related problems of topological map building in unknown environment. The main studies undertaken in this paper are listed as follows: firstly, the paper introduces the research background and points out the present problems of map building. Secondly, topological map is built based on thinning algorithm which is commonly used in image processing of recognition. This avoids producing un-necessary nodes and paths. The environment is modeled in grid map, next the thinning algorithm is applied in the map, and then the effective topological information is extracted. Finally, simulation results show that the topological map based on thinning is clear, simple and effective. Moreover this topological map reduces information storage memory. This will improve the ability of autonomous operation, navigation and path planning further.
Keywords
computational geometry; mobile robots; path planning; grid map; image processing; image recognition; information storage memory reduction; mobile robots; path planning; robot control; robot navigation; thining algorithm; topological information; topological map building; Algorithm design and analysis; Buildings; Data mining; Mobile robots; Robot sensing systems; Topology; Mobile robots; Thinning algorithm; Topological map building; Voronoi diagram;
fLanguage
English
Publisher
ieee
Conference_Titel
Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2014 11th International Computer Conference on
Print_ISBN
978-1-4799-7207-4
Type
conf
DOI
10.1109/ICCWAMTIP.2014.7073374
Filename
7073374
Link To Document