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ICPR
2008
IEEE
14 years 6 months ago
Uncertainty minimization in multi-sensor localization systems using model selection theory
Belief propagation methods are the state-of-the-art with multi-sensor state localization problems. However, when localization applications have to deal with multi-modality sensors...
Andreas Koschan, David L. Page, Hamparsum Bozdogan...
ICRA
2007
IEEE
115views Robotics» more  ICRA 2007»
13 years 11 months ago
Sensor Selection Using Information Complexity for Multi-sensor Mobile Robot Localization
—Our sensor selection algorithm targets the problem of global self-localization of multi-sensor mobile robots. The algorithm builds on the probabilistic reasoning using Bayes fil...
Sreenivas R. Sukumar, Hamparsum Bozdogan, David L....
AROBOTS
2002
126views more  AROBOTS 2002»
13 years 4 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
IPSN
2005
Springer
13 years 10 months ago
The sensor selection problem for bounded uncertainty sensing models
We address the problem of selecting sensors so as to minimize the error in estimating the position of a target. We consider a generic sensor model where the measurements can be in...
Volkan Isler, Ruzena Bajcsy
CDC
2008
IEEE
145views Control Systems» more  CDC 2008»
13 years 11 months ago
Optimal sensor hop selection: Sensor energy minimization and network lifetime maximization with guaranteed system performance
— In this paper we consider state estimation carried over a sensor network. A fusion center forms a local multi-hop tree of sensors and gateways and fuses the data into a state e...
Ling Shi, Karl Henrik Johansson, Richard M. Murray