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» Feature Based Condensation for Mobile Robot Localization
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AROBOTS
2010
194views more  AROBOTS 2010»
14 years 10 months ago
Computationally efficient solutions for tracking people with a mobile robot: an experimental evaluation of Bayesian filters
Abstract Modern service robots will soon become an essential part of modern society. As they have to move and act in human environments, it is essential for them to be provided wit...
Nicola Bellotto, Huosheng Hu
IROS
2006
IEEE
162views Robotics» more  IROS 2006»
15 years 5 months ago
Efficiency Improvement in Monte Carlo Localization through Topological Information
- Monte Carlo localization is known to be one of the most reliable methods for pose estimation of a mobile robot. Many studies have been conducted to improve performance of MCL. Al...
Tae-Bum Kwon, Ju-Ho Yang, Jae-Bok Song, Woojin Chu...
ICRA
2009
IEEE
94views Robotics» more  ICRA 2009»
15 years 6 months ago
Inferring a probability distribution function for the pose of a sensor network using a mobile robot
— In this paper we present an approach for localizing a sensor network augmented with a mobile robot which is capable of providing inter-sensor pose estimates through its odometr...
David Meger, Dimitri Marinakis, Ioannis M. Rekleit...
ECCV
2004
Springer
16 years 1 months ago
Multiple View Feature Descriptors from Image Sequences via Kernel Principal Component Analysis
Abstract. We present a method for learning feature descriptors using multiple images, motivated by the problems of mobile robot navigation and localization. The technique uses the ...
Jason Meltzer, Ming-Hsuan Yang, Rakesh Gupta, Stef...
ICRA
2007
IEEE
137views Robotics» more  ICRA 2007»
15 years 6 months ago
A Hybrid Active Global Localisation Algorithm for Mobile Robots
— Localisation is one of the most important tasks to be accomplished in order to realize the complete autonomy of a mobile robot. In this paper, a new strategy for global localis...
Andrea Gasparri, Stefano Panzieri, Federica Pascuc...