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ICRA
2000
IEEE
103views Robotics» more  ICRA 2000»
14 years 25 days ago
Invariant Filtering for Simultaneous Localization and Mapping
This paper presents an algorithm for simultaneous localization and map building for a mobile robot moving in an unknown environment. The robot can measure only the bearings to ide...
Matthew Deans, Martial Hebert
RAS
2006
151views more  RAS 2006»
13 years 8 months ago
Localization of mobile robots with omnidirectional vision using Particle Filter and iterative SIFT
The Scale Invariant Feature Transform, SIFT, has been successfully applied to robot localization. Still, the number of features extracted with this approach is immense, especially...
Hashem Tamimi, Henrik Andreasson, André Tre...
ICRA
2009
IEEE
162views Robotics» more  ICRA 2009»
14 years 3 months ago
Distributed sensor analysis for fault detection in tightly-coupled multi-robot team tasks
— This paper presents a distributed version of our previous work, called SAFDetection, which is a sensor analysisbased fault detection approach that is used to monitor tightlycou...
Xingyan Li, Lynne E. Parker
CLEF
2010
Springer
13 years 9 months ago
Visual Localization Using Global Visual Features and Vanishing Points
Abstract. This paper describes a visual localization approach for mobile robots. Robot localization is performed as location recognition. The approach uses global visual features (...
Olivier Saurer, Friedrich Fraundorfer, Marc Pollef...
PSIVT
2009
Springer
400views Multimedia» more  PSIVT 2009»
14 years 3 months ago
Local Image Descriptors Using Supervised Kernel ICA
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminati...
Masaki Yamazaki, Sidney Fels