66 search results - page 6 / 14 » Multi-robot Simultaneous Localization and Mapping using Part... |
ICRA
2002
IEEE
14 years 9 days ago
2002
IEEE
This paper presents an algorithm for simultaneous localization and mapping for a mobile robot using monocular vision and odometry. The approach uses Variable State Dimension Filte...
UAI
2000
13 years 8 months ago
2000
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
CCIA
2008
Springer
13 years 9 months ago
2008
Springer
This paper surveys the most recent published techniques in the field of Simultaneous Localization and Mapping (SLAM). In particular it is focused on the existing techniques availab...
ICRA
2005
IEEE
14 years 29 days ago
2005
IEEE
— In [5], a version of Relative Map Filter (RMF) is proposed to solve the simultaneous localization and map building (SLAM) problem. In the RMF, the map states contain only quant...
JFR
2008
13 years 7 months ago
2008
We propose a novel combination of techniques for robustly estimating the position of a mobile robot in outdoor environments using range data. Our approach applies a particle filte...