150 search results - page 16 / 30 » Bayesian Landmark Learning for Mobile Robot Localization |
ICRA
2006
IEEE
14 years 1 months ago
2006
IEEE
— This paper presents an analysis of FastSLAM— a Rao-Blackwellised particle filter formulation of simultaneous localisation and mapping. It shows that the algorithm degenerate...
CIRA
2007
IEEE
14 years 1 months ago
2007
IEEE
— Learning motion models of a moving object is a challenge for autonomous robots. We address the particular instance of parameter learning when tracking object motions in a switc...
FLAIRS
2007
13 years 10 months ago
2007
1 This paper describes two major student projects for the artificial intelligence course – Mapping using Bayesian filter and Monte Carlo Localization. These projects are also sui...
ESSMAC
2003
Springer
14 years 25 days ago
2003
Springer
We apply a constrained Hidden Markov Model architecture to the problem of simultaneous localization and surveying from sensor logs of mobile agents navigating in unknown environmen...
ICRA
2006
IEEE
14 years 1 months ago
2006
IEEE
—Traditionally, simultaneous localization and mapping (SLAM) algorithms solve the localization and mapping problem in explored regions. This paper presents a prediction-based SLA...