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RAS
2007
148views more  RAS 2007»
13 years 8 months ago
Including probabilistic target detection attributes into map representations
Range measuring sensors can play an extremely important role in robot navigation. All range measuring devices rely on a ‘detection criterion’ made in the presence of noise, to...
John Mullane, Ebi Jose, Martin David Adams, Wijeru...
ICRA
2005
IEEE
102views Robotics» more  ICRA 2005»
14 years 2 months ago
SLAM using Incremental Probabilistic PCA and Dimensionality Reduction
— The recent progress in robot mapping (or SLAM) algorithms has focused on estimating either point features (such as landmarks) or grid-based representations. Both of these repre...
Emma Brunskill, Nicholas Roy
ICARCV
2008
IEEE
184views Robotics» more  ICARCV 2008»
14 years 3 months ago
Learning informative point classes for the acquisition of object model maps
—This paper proposes a set of methods for building informative and robust feature point representations, used for accurately labeling points in a 3D point cloud, based on the typ...
Radu Bogdan Rusu, Zoltan Csaba Marton, Nico Blodow...
RAS
2006
123views more  RAS 2006»
13 years 8 months ago
Planning exploration strategies for simultaneous localization and mapping
In this paper, we present techniques that allow one or multiple mobile robots to efficiently explore and model their environment. While much existing research in the area of Simul...
Benjamín Tovar, Lourdes Muñoz-G&oacu...
PAMI
2010
188views more  PAMI 2010»
13 years 7 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...