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» Feature Based Condensation for Mobile Robot Localization
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ICPR
2008
IEEE
15 years 11 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»
15 years 10 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»
15 years 11 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»
15 years 9 months ago
Supervised Linear Feature Extraction for Mobile Robot Localization
Nikos A. Vlassis, Yoichi Motomura, Ben J. A. Kr&ou...
IBPRIA
2005
Springer
15 years 10 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...