Autonomous vision-based exploration and mapping using hybrid maps and Rao-Blackwellised particle filters

Abstract

This paper addresses the problem of exploring and mapping an unknown environment using a robot equipped with a stereo vision sensor. The main contribution of our work is a fully automatic mapping system that operates without the use of active ranger sensors (such as laser or sonic transducers), can operate in real-time and can consistently produce accurate… (More)
DOI: 10.1109/IROS.2006.282485

Topics

9 Figures and Tables

Statistics

01020'06'07'08'09'10'11'12'13'14'15'16'17'18
Citations per Year

92 Citations

Semantic Scholar estimates that this publication has 92 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@article{Sim2006AutonomousVE, title={Autonomous vision-based exploration and mapping using hybrid maps and Rao-Blackwellised particle filters}, author={Robert Sim and James J. Little}, journal={2006 IEEE/RSJ International Conference on Intelligent Robots and Systems}, year={2006}, pages={2082-2089} }