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ICRA
2002
IEEE
147views Robotics» more  ICRA 2002»
13 years 10 months ago
Auxiliary Particle Filter Robot Localization from High-Dimensional Sensor Observations
We apply the auxiliary particle filter algorithm of Pitt and Shephard (1999) to the problem of robot localization. To deal with the high-dimensional sensor observations (images) ...
Nikos A. Vlassis, Bas Terwijn, Ben J. A. Krös...
ICRA
2008
IEEE
134views Robotics» more  ICRA 2008»
14 years 6 days ago
An optimal filtering algorithm for non-parametric observation models in robot localization
— The lack of a parameterized observation model in robot localization using occupancy grids requires the application of sampling-based methods, or particle filters. This work ad...
Jose-Luis Blanco, Javier Gonzalez, Juan-Antonio Fe...
AAAI
2011
12 years 5 months ago
Multi-Observation Sensor Resetting Localization with Ambiguous Landmarks
Successful approaches to the robot localization problem include Monte Carlo particle filters, which estimate non-parametric localization belief distributions. However, particle ...
Brian Coltin, Manuela M. Veloso
IJRR
2006
88views more  IJRR 2006»
13 years 5 months ago
Multi-robot Simultaneous Localization and Mapping using Particle Filters
Abstract-- This paper describes an on-line algorithm for multirobot simultaneous localization and mapping (SLAM). We take as our starting point the single-robot Rao-Blackwellized p...
Andrew Howard
ICRA
2010
IEEE
149views Robotics» more  ICRA 2010»
13 years 4 months ago
Observability analysis of relative localization for AUVs based on ranging and depth measurements
— The paper studies the observability properties of the relative localization of two Autonomous Underwater Vehicles (AUVs) equipped with depth sensors, linear/angular velocity se...
Gianluca Antonelli, Filippo Arrichiello, Stefano C...