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In a multisensor multitarget tracking application, the evaluation of the cost of assigning particle filter clouds of different sensors as being estimates of the same target is an essential part in the particle cloud association. This paper treats the problem of evaluating the cost of particle filter clouds association based on the Wasserstein distance of different orders, analyzing the implications...
Within the area of target tracking particle filters are the subject of consistent research and continuous improvement. The purpose of this paper is to present a novel method of fusing the information from multiple particle filters tracking in a multisensor multitarget scenario. Data considered for fusion is under the form of labeled particle clouds, obtained in the simulation from two probability...
In recent years, the particle filter has become commonly accepted as the preferred tool for single target tracking in highly non-linear and non-Gaussian environments. This paper investigates the issues that arise when particle filters are integrated into a hierarchical data fusion system, in which the sensor-level tracking is performed using particle filters, but central-level track fusion is performed...
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