10 search results - page 1 / 2 » Conformative Filter: A Probabilistic Framework for Localizat... |
CRV
2011
IEEE
12 years 4 months ago
2011
IEEE
— Algorithmic problem reduction is a fundamental approach to problem solving in many fields, including robotics. To solve a problem using this scheme, we must reduce the problem...
ICRA
2003
IEEE
13 years 9 months ago
2003
IEEE
In this paper we present a probabilistic framework for the reduction in the uncertainty of a moving robot pose during exploration by using a second robot to assist. A Monte Carlo ...
IJCV
2000
13 years 4 months ago
2000
We propose a Bayesian framework for representing and recognizing local image motion in terms of two basic models: translational motion and motion boundaries. Motion boundaries are ...
MICRO
2006
IEEE
13 years 4 months ago
2006
IEEE
Shrinking devices to the nanoscale, increasing integration densities, and reducing of voltage levels down to the thermal limit, all conspire to produce faulty systems. Frequent oc...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
Human motion tracking is an important problem in computer vision. Most prior approaches have concentrated on efficient inference algorithms and prior motion models; however, few c...