Distributed Kalman filter fusion at arbitrary instants of time


Track-to-track fusion aims at combining locally preprocessed information of individual sensors optimally, i.e. in a way that is equivalent to fusing all measurements of all sensors directly. It is well known that this can be achieved if the local sensor tracks produced at all individual scan times are available in the fusion center. Full-rate communication… (More)


4 Figures and Tables


Citations per Year

Citation Velocity: 6

Averaging 6 citations per year over the last 3 years.

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