On the bending problem for large scale mapping

Authors:
I. Esteban;O. Booij;J. Dijk;F. Groen
Affiliations:
Intelligent Systems Lab Amsterdam, University of Amsterdam;Intelligent Systems Lab Amsterdam, University of Amsterdam;Intelligent Systems Lab Amsterdam, University of Amsterdam;Intelligent Systems Lab Amsterdam, University of Amsterdam
Venue:
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Year:
2009

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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.