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» Adaptive Weighting of Local Classifiers by Particle Filter
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ANTSW
2008
Springer
13 years 7 months ago
A Dynamic Swarm for Visual Location Tracking
Abstract. The visual localization problem in robotics poses a dynamically changing environment due to the movement of the robot compared to a static image set serving as environmen...
Marcel Kronfeld, Christian Weiss, Andreas Zell
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...
WCE
2007
13 years 7 months ago
Suboptimal Filter for Multisensor Linear Discrete-Time Systems with Observation Uncertainties
The focus of this paper is the problem of recursive estimation for uncertain multisensor linear discrete-time systems. We herein propose a new suboptimal filtering algorithm. The b...
Tyagi Deepak, Vladimir Shin
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...
DICTA
2003
13 years 7 months ago
Probabilistic Multiple Cue Integration for Particle Filter Based Tracking
Robust visual tracking has become an important topic in the field of computer vision. The integration of cues such as color, edge strength and motion has proved to be a promising ...
Chunhua Shen, Anton van den Hengel, Anthony R. Dic...