DocumentCode :
2678690
Title :
Efficient path planning in deformable maps
Author :
Whitty, Mark A. ; Guivant, José E.
Author_Institution :
Sch. of Mech. & Manuf. Eng., Univ. of New South Wales, Sydney, NSW, Australia
fYear :
2009
fDate :
10-15 Oct. 2009
Firstpage :
5401
Lastpage :
5406
Abstract :
This paper presents a framework for efficient path planning in a deformable map. A roadmap and local cost maps are combined and integrated into a generic SLAM process to provide fast path querying for multiple sources and multiple destinations. Analysis of a simple deformation metric shows the ability of the framework to efficiently maintain a consistent plan during major map adjustment by updating the roadmap and selected local cost maps. Results from simulation verify the effectiveness of the framework in handling deformable maps in an efficient manner.
Keywords :
SLAM (robots); path planning; SLAM process; deformable maps; efficient path planning; local cost maps; path querying; Costs; Deformable models; Intelligent robots; Large-scale systems; Navigation; Path planning; Sampling methods; Simultaneous localization and mapping; USA Councils; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on
Conference_Location :
St. Louis, MO
Print_ISBN :
978-1-4244-3803-7
Electronic_ISBN :
978-1-4244-3804-4
Type :
conf
DOI :
10.1109/IROS.2009.5354063
Filename :
5354063
Link To Document :
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