DocumentCode
2685974
Title
On the bending problem for large scale mapping
Author
Esteban, I. ; Booij, O. ; Dijk, J. ; Groen, F.
Author_Institution
Intell. Syst. Lab. Amsterdam, Univ. of Amsterdam, Amsterdam, Netherlands
fYear
2009
fDate
10-15 Oct. 2009
Firstpage
1144
Lastpage
1149
Abstract
During simultaneous localization and mapping, geometrical constraints are established between map features. These constraints, introduced through measurements and motion prediction, produce a bending effect in the event of closing a large loop. In this paper we present a discussion of the bending problem for trajectory based representations. Furthermore, we propose a generic approach to reduce the bending effect that exploits common geometrical constraints in human-made environments through the use of a heading based curvature measurement. We show by means of experimental results that our approach increases significantly both the global and local map accuracy.
Keywords
SLAM (robots); bending; motion control; position control; bending problem; geometrical constraint; heading based curvature measurement; large scale mapping; motion prediction; simultaneous localization and mapping; trajectory based representation; Delay estimation; Intelligent robots; Large-scale systems; Safety; Security; Shape measurement; Simultaneous localization and mapping; State estimation; USA Councils; Vehicle dynamics;
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.2009.5354490
Filename
5354490
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