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» A Statistical Modeling Approach to Location Estimation
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ICCV
1995
IEEE
14 years 6 days ago
Recognition Using Region Correspondences
Recognition systems attempt to recover information about the identity of observed objects and their location in the environment. A fundamental problem in recognition is pose estima...
Ronen Basri, David W. Jacobs
ICRA
2002
IEEE
164views Robotics» more  ICRA 2002»
14 years 1 months ago
Conditional Particle Filters for Simultaneous Mobile Robot Localization and People-Tracking
Abstract—This paper presents a probabilistic algorithm for simultaneously estimating the pose of a mobile robot and the positions of nearby people in a previously mapped environm...
Michael Montemerlo, Sebastian Thrun, William Whitt...
CDC
2009
IEEE
150views Control Systems» more  CDC 2009»
14 years 1 months ago
Cooperative adaptive sampling via approximate entropy maximization
— This work deals with a group of mobile sensors sampling a spatiotemporal random field whose mean is unknown and covariance is known up to a scaling parameter. The Bayesian pos...
Rishi Graham, Jorge Cortés
CVPR
2011
IEEE
13 years 4 months ago
From 3D Scene Geometry to Human Workspace
We present a human-centric paradigm for scene understanding. Our approach goes beyond estimating 3D scene geometry and predicts the “workspace” of a human which is represented...
Abhinav Gupta, Scott Satkin, Alyosha Efros, Martia...
TWC
2008
201views more  TWC 2008»
13 years 8 months ago
A Novel Algorithm for Multipath Fingerprinting in Indoor WLAN Environments
Abstract--Positioning in indoor wireless environments is growing rapidly in importance and gains commercial interests in context-awareness applications. The essential challenge in ...
Shih-Hau Fang, Tsung-Nan Lin, Kun-Chou Lee