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ICCV
2007
IEEE
13 years 9 months ago
Probabilistic Fusion Tracking Using Mixture Kernel-Based Bayesian Filtering
Even though sensor fusion techniques based on particle filters have been applied to object tracking, their implementations have been limited to combining measurements from multip...
Bohyung Han, Seong-Wook Joo, Larry S. Davis
ICDCS
2010
IEEE
13 years 8 months ago
Link-Centric Probabilistic Coverage Model for Transceiver-Free Object Detection in Wireless Networks
Abstract--Sensing coverage is essential for most applications in wireless networks. In traditional coverage problem study, the disk coverage model has been widely applied because o...
Dian Zhang, Yunhuai Liu, Lionel M. Ni
ICRA
1998
IEEE
128views Robotics» more  ICRA 1998»
13 years 11 months ago
Hybrid, High-Precision Localisation for the Mail Distributing Mobile Robot System MOPS
This paper describes the new localisation algorithms under implementation for the mail distributing mobile robot, MOPS, of the Institute of Robotics, Swiss Federal Institute of Te...
Kai Oliver Arras, Sjur J. Vestli
ECSQARU
2009
Springer
14 years 2 months ago
The Probabilistic Interpretation of Model-Based Diagnosis
Model-based diagnosis is the field of research concerned with the problem of finding faults ms by reasoning with abstract models of the systems. Typically, such models offer a ...
Ildikó Flesch, Peter J. F. Lucas
NIPS
2001
13 years 9 months ago
Model Based Population Tracking and Automatic Detection of Distribution Changes
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
Igor V. Cadez, Paul S. Bradley