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
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;
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
DOI :
10.1109/IROS.2009.5354490