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» Feature Based Condensation for Mobile Robot Localization
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ICPR
2008
IEEE
14 years 4 months ago
On the scalability of robot localization using high-dimensional features
This study provides an investigation of scalability of mobile robot localization. In recent years, inference algorithms based on map-matching have proved their superior performanc...
Takeshi Ueda, Kanji Tanaka
ICRA
2002
IEEE
183views Robotics» more  ICRA 2002»
14 years 2 months ago
Mobile Robot Localization Based on Random Closed Set Model Maps
In this paper we present a novel approach to mobile robot navigation in natural unstructured environments. Natural scenes can be considered as random fields where a large number ...
Stefan Rolfes, Maria-João Rendas
IROS
2006
IEEE
168views Robotics» more  IROS 2006»
14 years 3 months ago
An Entropy-Based Measurement of Certainty in Rao-Blackwellized Particle Filter Mapping
– In Bayesian based approaches to mobile robot simultaneous localization and mapping, Rao-Blackwellized particle filters (RBPF) enable the efficient estimation of the posterior b...
Jose-Luis Blanco, Juan-Antonio Fernandez-Madrigal,...
ICRA
2000
IEEE
77views Robotics» more  ICRA 2000»
14 years 2 months ago
Supervised Linear Feature Extraction for Mobile Robot Localization
Nikos A. Vlassis, Yoichi Motomura, Ben J. A. Kr&ou...
IBPRIA
2005
Springer
14 years 3 months ago
Monte Carlo Localization Using SIFT Features
The ability of finding its situation in a given environment is crucial for an autonomous agent. While navigating through a space, a mobile robot must be capable of finding its lo...
Arturo Gil, Óscar Reinoso, Maria Asunci&oac...