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» Scan Matching in a Probabilistic Framework
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ICRA
2002
IEEE
94views Robotics» more  ICRA 2002»
14 years 21 days ago
Weighted Range Sensor Matching Algorithms for Mobile Robot Displacement Estimation
This paper introduces a “weighted” matching algorithm to estimate a robot’s planar displacement by matching twodimensional range scans. The influence of each scan point on ...
Samuel T. Pfister, Kristopher L. Kriechbaum, Sterg...
SEMWEB
2005
Springer
14 years 1 months ago
OMEN: A Probabilistic Ontology Mapping Tool
Abstract. Most existing ontology mapping tools do not provide exact mappings. Rather, there is usually some degree of uncertainty. We describe a framework to improve existing ontol...
Prasenjit Mitra, Natasha F. Noy, Anuj R. Jaiswal
3DPVT
2002
IEEE
108views Visualization» more  3DPVT 2002»
14 years 22 days ago
Probabilistic 3D Data Fusion for Adaptive Resolution Surface Generation
In this paper we present an algorithm for adaptive resolution integration of 3D data collected from multiple distributed sensors. The input to the algorithm is a set of 3D surface...
Andrew E. Johnson, Roberto Manduchi
CSDA
2007
94views more  CSDA 2007»
13 years 7 months ago
Some extensions of score matching
Many probabilistic models are only defined up to a normalization constant. This makes maximum likelihood estimation of the model parameters very difficult. Typically, one then h...
Aapo Hyvärinen
ICRA
2007
IEEE
104views Robotics» more  ICRA 2007»
14 years 2 months ago
Frame-Frame Matching for Realtime Consistent Visual Mapping
Many successful indoor mapping techniques employ frame-to-frame matching of laser scans to produce detailed local maps, as well as closing large loops. In this paper, we propose a ...
Kurt Konolige, Motilal Agrawal