DocumentCode
524667
Title
An Effective Method for Complete Visual Coverage Path Planning
Author
Li, Jie ; Zheng, Changwen ; Hu, Xiaohui
Author_Institution
Dept. of Electron. Eng. & Inf. Sci., Univ. of Sci. & Technol. of China, Hefei, China
Volume
1
fYear
2010
fDate
28-31 May 2010
Firstpage
497
Lastpage
500
Abstract
This paper addresses the complete visual coverage path planning problem in raster terrain and presents an effective solution with hierarchy based on multiple observers siting and an evolutionary path planning algorithm. The main idea of the method is to get a nearly optimal complete visual coverage path by connecting all of the observers in the visual coverage set. Firstly a new deterministic algorithm for a quasi minimal number set of observers is presented, which is superior to the general greedy algorithm in the time complexity and the quality of solutions. On the basis of that we further present a hierarchy path planning method whose core is an evolutionary algorithm. The advantage of the proposed method is that it realizes really complete visual coverage with a comparatively optimal path and easy to extend to the version of multiple paths.
Keywords
computational complexity; evolutionary computation; observers; path planning; set theory; deterministic algorithm; evolutionary algorithm; general greedy algorithm; multiple observers siting; quasiminimal number set; raster terrain; time complexity; visual coverage hierarchy path planning algorithm; visual coverage set; Evolutionary computation; Geographic Information Systems; Greedy algorithms; Information science; Information systems; Joining processes; Optimization methods; Paper technology; Path planning; Robot sensing systems; complete coverage path planning; evolutionary algorithm; multiple observers sitting; raster terrain; visual coverage;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Science and Optimization (CSO), 2010 Third International Joint Conference on
Conference_Location
Huangshan, Anhui
Print_ISBN
978-1-4244-6812-6
Electronic_ISBN
978-1-4244-6813-3
Type
conf
DOI
10.1109/CSO.2010.167
Filename
5533093
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