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» Entropy-based sensor selection for localization
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IPSN
2004
Springer
13 years 10 months ago
Entropy-based sensor selection heuristic for target localization
We propose an entropy-based sensor selection heuristic for localization. Given 1) a prior probability distribution of the target location, and 2) the locations and the sensing mod...
Hanbiao Wang, Kung Yao, Gregory J. Pottie, Deborah...
SENSYS
2003
ACM
13 years 10 months ago
Entropy-based sensor selection for localization
Hanbiao Wang, Kung Yao, Gregory J. Pottie, Deborah...
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....
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...
ICASSP
2011
IEEE
12 years 8 months ago
Anchor selection with anchor location uncertainty in wireless sensor network localization
We investigate in this paper the anchor selection problem with consideration of anchor location uncertainty, which arises naturally from error propagation problem in successive or...
Ping Zhang, Qiao Wang