31 search results - page 4 / 7 » Bayesian Calibration for Monte Carlo Localization |
JIRS
2010
13 years 6 months ago
2010
Abstract Localization is a key issue for a mobile robot, in particular in environments where a globally accurate positioning system, such as GPS, is not available. In these environ...
UAI
2000
13 years 9 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...
CORR
2002
Springer
13 years 7 months ago
2002
Springer
Global mobile robot localization is the problem of determining a robot's pose in an environment, using sensor data, when the starting position is unknown. A family of probabi...
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
A new method for visual tracking of articulated objects is presented. Analyzing articulated motion is challenging because the dimensionality increase potentially demands tremendou...
CVIU
2006
13 years 7 months ago
2006
A novel approach is proposed to analyzing and tracking the motion of structured deformable shapes, which consist of multiple correlated deformable subparts. Since this problem is ...