Data association using fused data from multiple sensors

Vishnuraj Kittur; Wiley E. Thompson

doi:10.1117/12.138256

9 July 1992 Data association using fused data from multiple sensors

Vishnuraj Kittur, Wiley E. Thompson

Proceedings Volume 1699, Signal Processing, Sensor Fusion, and Target Recognition; (1992) https://doi.org/10.1117/12.138256
Event: Aerospace Sensing, 1992, Orlando, FL, United States

Abstract

A data association technique based on the utilization of fused multisensor data which provides a compact description, consisting of both numerical and non - numerical attributes, of the targets present in the surveillance volume. The data association technique is comprised of two processes. The first is the process of seeded clustering --inwhich a cluster is sought around the predicted measurement from the existing track. The data contained in this cluster is fused to obtain a compact description of the targets constituting the cluster. The second is the process of target type matching --in which the target types contained in an existing track are matched with the target types contained in the seeded cluster. The presented method for data association provides a means by which a measure of confidence is assigned to each track (based on the evidence received) and it can be extended in a straight forward manner to handle data association in the context of multi-target tracking.

Citation Download Citation

Vishnuraj Kittur and Wiley E. Thompson "Data association using fused data from multiple sensors", Proc. SPIE 1699, Signal Processing, Sensor Fusion, and Target Recognition, (9 July 1992); https://doi.org/10.1117/12.138256

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