621 search results - page 35 / 125 » Parameter Estimation Using Kalman Filters with Constraints |
ROBOCUP
2007
Springer
14 years 1 months ago
2007
Springer
In this article the classical self-localization approach is improved by estimating, independently from the robot’s pose, the robot’s odometric error and the landmarks’ poses....
AMDO
2000
Springer
13 years 11 months ago
2000
Springer
This paper presents a method of estimating both 3-D shapes and moving poses of an articulated object from a monocular image sequence. Instead of using direct depth data, prior loo...
IJCAI
2003
13 years 8 months ago
2003
Estimating the location of people using a network of sensors placed throughout an environment is a fundamental challenge in smart environments and ubiquitous computing. Id-sensors...
ICIP
2005
IEEE
14 years 9 months ago
2005
IEEE
Sequential importance sampling (SIS), also known as particle filtering, has drawn increasing attention recently due to its superior performance in nonlinear and non-Gaussian dynam...
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...