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» Experiments on Augmenting Condensation for Mobile Robot Loca...
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ICRA
2005
IEEE
167views Robotics» more  ICRA 2005»
15 years 3 months ago
Localization for Mobile Robots using Panoramic Vision, Local Features and Particle Filter
— In this paper we present a vision-based approach to self-localization that uses a novel scheme to integrate featurebased matching of panoramic images with Monte Carlo localizat...
Henrik Andreasson, André Treptow, Tom Ducke...
IROS
2006
IEEE
168views Robotics» more  IROS 2006»
15 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,...
AROBOTS
2002
126views more  AROBOTS 2002»
14 years 9 months ago
Selecting Landmarks for Localization in Natural Terrain
We describe techniques to optimally select landmarks for performing mobile robot localization by matching terrain maps. The method is based upon a maximum-likelihood robot localiza...
Clark F. Olson
92
Voted
ICRA
2003
IEEE
171views Robotics» more  ICRA 2003»
15 years 2 months ago
Motion planning for multiple mobile robots using dynamic networks
- A new motion planning framework is presented that enables multiple mobile robots with limited ranges of sensing and communication to maneuver and achieve goals safely in dynamic ...
Christopher M. Clark, Stephen M. Rock, Jean-Claude...
ICRA
2008
IEEE
124views Robotics» more  ICRA 2008»
15 years 4 months ago
Simultaneous learning of motion and sensor model parameters for mobile robots
— Motion and sensor models are crucial components in current algorithms for mobile robot localization and mapping. These models are typically provided and hand-tuned by a human o...
Teddy N. Yap Jr., Christian R. Shelton