Asynchronous Data Association for Kinematic and Identity Fusion

This paper proposes an asynchronous paradigm for hard data association of kinematic tracks with identity measurements. This addresses a critical task in disparate-sensor fusion that finds application in several operational domains. We demonstrate improved performance using simulated multi-target scenarios. Directions for future work are proposed.
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IEEE Aerospace Conference, Big Sky MT, March 2023.
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IEEEAC paper #2741, Final Version, Updated 2022-12-19.