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ICML
2006
IEEE
14 years 7 months ago
Quadratic programming relaxations for metric labeling and Markov random field MAP estimation
Quadratic program relaxations are proposed as an alternative to linear program relaxations and tree reweighted belief propagation for the metric labeling or MAP estimation problem...
Pradeep D. Ravikumar, John D. Lafferty
IROS
2007
IEEE
159views Robotics» more  IROS 2007»
14 years 17 days ago
Approximate covariance estimation in graphical approaches to SLAM
— Smoothing and optimization approaches are an effective means for solving the simultaneous localization and mapping (SLAM) problem. Most of the existing techniques focus mainly ...
Gian Diego Tipaldi, Giorgio Grisetti, Wolfram Burg...
PAMI
2010
188views more  PAMI 2010»
13 years 4 months ago
Spatial-Temporal Fusion for High Accuracy Depth Maps Using Dynamic MRFs
— Time-of-flight range sensors and passive stereo have complimentary characteristics in nature. To fuse them to get high accuracy depth maps varying over time, we extend traditi...
Jiejie Zhu, Liang Wang 0002, Jizhou Gao, Ruigang Y...
HUC
2009
Springer
13 years 11 months ago
Controlling Error Propagation in Mobile-Infrastructure Based Localization
Mobile infrastructure consists of one or more sensors in a fixed configuration on a mobile platform. By moving the mobile platform in the environment and attaching a set of stat...
Ying Zhang, Juan Liu
CVPR
2004
IEEE
14 years 8 months ago
Visual Odometry and Map Correlation
In this paper, we study how estimates of ego-motion based on feature tracking (visual odometry) can be improved using a rough (low accuracy) map of where the observer has been. We...
Anat Levin, Richard Szeliski