data association using multiple frame assignments

... characterized likelihoods Modeling ambiguous data and likelihoods for such data Constructing multisource likelihoods for ambiguous data Efficiently fusing data from all sources (ambiguous or otherwise) ... Models of “Ambiguous” Data • Forms of Ambiguous Data • True Likelihood Functions for Ambiguous Data • Generalized Likelihood Functions • Posteriors Conditioned on Ambiguous Data • Practical Generalized ... environment while using those same landmarks to update its own position estimate, the vehicle and landmark position estimates become highly correlated.5,14 • Track-to-track data fusion in multiple- target...

Ngày tải lên: 14/08/2014, 05:20

... procedures on the available data are other perspectives that are being explored Rather than using expert knowledge first, we are trying to extract the relationships directly from the data [32] and to compare ... monoparametric approaches, a multiparametric approach such as data fusion has been explored: it is a method designed to compute data from multiple sensors and to use the redundancy to improve the ... alarm on most physiological data This creates a great number of potential alarms Thus, it is possible to count more than 40 alarm sources, taking into account ventilation data, electrocardiogram,...

Ngày tải lên: 12/08/2014, 18:21

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