Also published as: Signal and Data Processing of Small Targets 2007, 28–30 August 2007, San Diego, California, USA / Oliver E. Drummond, Richard D. Teichgraeber (eds.):669901T. Sathyan, A. Sinha and T. Kirubaraja
Two commonly used algorithms for association, Nearest Neighbour (NN) and Probabilistic Data Associat...
In multiple target tracking the data association, observation to track fusion, is crucial and plays ...
In this paper, we present a method based on belief functions to evaluate the quality of the optimal ...
Also published as: Signal and Data Processing of Small Targets 2008, 18–20 March 2008, Orlando, Flor...
The authors consider the problem of tracking several targets in terms of the directions of arrival (...
Abstract:- In this paper, we propose a novel angle tracking algorithm, called as FPAT, for tracking ...
The problem of tracking the directions of arrival of signals from a number of objects using sensor a...
In this dissertation we develop an algorithm to solve the multisensor multi-target state estimation ...
AbstractA novel data association algorithm is developed basal on fuzzy genetic algorithms (FGAs). Th...
Abstract: An improved optimal 3-Dimensional (3-D) assignment algorithm based on Multi-source Informa...
An assignment-based solution for the data association problem in synchronous passive multisensor (Ty...
Abstract—This paper mainly studies angle-measurement based track processing approach to overcome the...
This dissertation work deals with parameter estimation and data association for tracking multiple ta...
In this paper, the two commonly used algorithms for association namely the Nearest Neighbour (NN) an...
Data association problem for multitarget tracking is determination of the relationship between targe...
Two commonly used algorithms for association, Nearest Neighbour (NN) and Probabilistic Data Associat...
In multiple target tracking the data association, observation to track fusion, is crucial and plays ...
In this paper, we present a method based on belief functions to evaluate the quality of the optimal ...
Also published as: Signal and Data Processing of Small Targets 2008, 18–20 March 2008, Orlando, Flor...
The authors consider the problem of tracking several targets in terms of the directions of arrival (...
Abstract:- In this paper, we propose a novel angle tracking algorithm, called as FPAT, for tracking ...
The problem of tracking the directions of arrival of signals from a number of objects using sensor a...
In this dissertation we develop an algorithm to solve the multisensor multi-target state estimation ...
AbstractA novel data association algorithm is developed basal on fuzzy genetic algorithms (FGAs). Th...
Abstract: An improved optimal 3-Dimensional (3-D) assignment algorithm based on Multi-source Informa...
An assignment-based solution for the data association problem in synchronous passive multisensor (Ty...
Abstract—This paper mainly studies angle-measurement based track processing approach to overcome the...
This dissertation work deals with parameter estimation and data association for tracking multiple ta...
In this paper, the two commonly used algorithms for association namely the Nearest Neighbour (NN) an...
Data association problem for multitarget tracking is determination of the relationship between targe...
Two commonly used algorithms for association, Nearest Neighbour (NN) and Probabilistic Data Associat...
In multiple target tracking the data association, observation to track fusion, is crucial and plays ...
In this paper, we present a method based on belief functions to evaluate the quality of the optimal ...
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